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Appendix AList of Persons Contacted
Interviews/Formal/Informal Discussions in Australia
1. Bateman, Sam, Research Fellow University of Wollongong2. Burgess, Phil, Department of Environment, Water, Heritage and the Arts3. Curran, Stuart, Department of Agriculture, Fisheries and Forestry4. Drummond, Barry, Geoscience Australia5. Emmett, Lindsay, Australian Maritime Safety Authority6. Exel, Martin, Austral Fisheries7. Forbes, Andrew, Sea Power Centre8. Goldrick, James, Commander Border Protection Command9. Kenchington, Richard, Visiting Professorial Fellow, University of Wollongong
10. Lee, James, Department of Agriculture, Fisheries and Forestry11. McCaffrie, Jack, Sea Power Centre12. Smith, Barbara, Department of Agriculture, Fisheries and Forestry13. Symonds, Phil, Geoscience Australia14. Tsamenyi, Martin, University of Wollongong
Interviews/Formal/Informal Discussions in Indonesia
1. Anggoro, J. Kusnanto, Centre for Strategic and International Studies2. Bandoro, Bantarto, Centre for Strategic and International Studies3. Barani, Husni Mangga, Ministry of Marine Affairs and Fisheries4. Djalal, Hasjim, Senior Advisor to the Indonesian Minister for Marine Affairs
and Fisheries5. Hendrawan, Indonesian National Shipowners Association6. Hilaman, Masnellyarti, Deputy Minister for Nature Conervation Enhancement
and Environmental Degradation Control, Ministry of Environment7. Hutagalung, P., Ministry of Marine Affairs and Fisheries8. Indraningsih, Wahyu, State Ministry of Environment9. Kirom, A. Cholik, Director General of Sea Transportation
10. Mangindaan, Robert, Forum for Defense and Maritime Studies
275M. Gupta, Indian Ocean Region, The Political Economy of the Asia Pacific,DOI 10.1007/978-1-4419-5989-8, C© Springer Science+Business Media, LLC 2010
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11. Mao, Hidayat, Japan International Cooperation Agency12. Marsetio, Indonesian Navy13. Prasetyono, Edy, Centre for Strategic and International Studies14. Purwanto, Ministry of Marine Affairs and Fisheries15. Sitepu, M.J., Maritime Education and Training Center16. Sitorus, Thomas A., Japan International Cooperation Agency17. Soerjo, Astrid, Confederation of ASEAN Journalists18. Soesastro, Hadi, Centre for Strategic and International Studies19. Sukarno, Agus, National SAR Agency20. Sukono, S.E., Asosiasi Pendidikan dan pelatihan maritime Indonesia21. Tambunan, Adolf R., Ministry of Transportation22. Tardan, Samsidik, Japan international Cooperation Agency23. Tarigan, Hartanta, Ministry of Marine Affairs and Fisheries24. Wahab, M.S., Germanischer Lloyd25. Zainuddin, Ardius Ministry for Marine Affairs and Fisheries
Other Interviews/Formal/Informal Discussions
1. Aggarwal, Vinod K., Berkeley Asia-Pacific Economic Cooperation StudyCenter
2. Berlin, Donald, Asia-Pacific Center for Security Studies3. Biswas, Aparjita, University of Mumbai4. Bouchard, Christian, Laurentian University, Canada5. Chaturvedi, Sanjay, Panjab University, India6. Doyle, Timothy, University of Adelaide7. Forbes, Vivian Louis, Curtin University, Australia8. Hettne, Bjorn, University of Gotheborg, Sweden9. Rao, P. V., Osmania University, India
10. Richardson, John B, Directorate-General for Fisheries and Maritime Affairs,European Commission
11. Rumley, Dennis, Edith Cowan University, Australia12. Telo, Mario, University Livre de Bruxelles, Belgium13. Valencia, Mark, Internationally Known Maritime Policy Analyst14. Yasin, Mat Taib, Maritime Institute of Malaysia
Appendix BCoding and Classification of IOGOOSAnnual Reports
Use of Wef QDA Software
• Each annual report was uploaded by the software.• Qualitative judgement was made for each sentence of the annual reports and
coded against the 20 different codes representing the five different variables (fourcodes each) of the regimes.
• Each selected text was extracted by the software for each code.• Software generated its own number in brackets [ ] for each extraction.• All the extracts put together provide a sense of the variable to be assessed.• Qualitative assessment done for each variable based on the emerging picture.
Example
For power based/structured (POBAS)In IOGOOS I [140225–140437]—report states:
Should the document be simply an MOU or rather an agreement? It was agreedthat an agreement was a more formal text than an MOU and would requiremore formal consideration and signature at a governmental level.
In the book:When 17 national scientific agencies/institutions from the ten participat-ing countries signed a MoU, they stopped short of reaching an agreementrequiring formal consideration and signature at the government level.
In IOGOOS-III [35094–35204]—report states:Important to identify government support before committing funding to thosecountries’ participation in workshop.
In the book:Not surprisingly, government support continued to elude the strong scientificengagement at subsequent meetings.
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278 Appendix B
Actor Behaviour/Leadership (ACBEL)
IOGOOS I [12740–12926]The significance of the conference lies in its explicit statement of com-mitment of the participating countries, agencies and institutions, and ofinterested nongovernmental organisations.
IOGOOS I [31242–31289]Linking science and management more effectively.
IOGOOS I [35282–35417]In this model, scientific knowledge, technologies and research provide themeans to design and develop GOOS in response to user needs.
IOGOOS I [113480–113593]Project objectives include the creation of links amongst scientists (coastallaboratories), coastal managers and communities.
IOGOOS I [142116–142216]Nineteen persons representing national agencies/institutions signed theMemorandum of Understanding.
IOGOOS I [155448–155722]The private sector and individuals with an interest in ocean science, engi-neering and management have been meeting regularly since November 2000to develop and implement WAGOOS, which is being constituted as anincorporated body to afford appropriate protection for members.
IOGOOS I [166994–167257]The IOGOOS Conference Chairman, K. Radhakrishnan, stressed the fact thatthe conference had shown that the countries of the region and those especiallyinterested in it had demonstrated a willingness and a capability to cooperatein a large-scale regional action.
IOGOOS I [208106–208261]We are also grateful to the Government of India, a “nest” for our newestGOOS, located at the Indian National Center for Ocean Information Servicesin Hyderabad.
IOGOOS II [44027–44223]Countries interested in undertaking the project increased to 11 from 4. Theseinclude Australia, Bangladesh, India, Iran, Kenya, Mauritius, Reunion, SouthAfrica, Sri Lanka, Tanzania and Thailand.
IOGOOS-III [4935–5104]Further, he recognised the efforts of Indonesia in setting up IndonesianGOOS (InaGOOS), which is Indonesia’s new mechanism for coordinatingGOOS activities nationally.
IOGOOS-III [7834–8968]Dr. Jan Sopaheluwakan made a presentation on the establishment of theIndonesian GOOS [InaGOOS]. He stressed the importance of the seasaround Indonesia due to the strong influence of monsoon, Indian Oceanipole mode (IODM) and El Nino. The Indonesian through-flow is a complex
Appendix B 279
phenomenon that is being studied through projects such as INSTANT.Upwelling and sinking processes are being studied in relation to monsoonand the El Nino event. He stated that Indonesia is using remote sensingdata operationally for the identification of fishing grounds. He also listed theimperatives for the formation of InaGOOS and provided the list of marineinstitutions in Indonesia that are a part of InaGOOS. Dr. Sopaheluwaken reit-erated that the effective role of InaGOOS will enhance the regional allianceslike IOGOOS and SEAGOOS. During the discussion that followed, Mr.William Erb stated that InGOOS could be used by the IOGOOS members asa model for development of national GOOS organisations elsewhere. He sug-gested that the list of participants in InaGOOS could be provided to IOGOOSSecretariat so that they could be loaded onto the IOGOOS website.
IOGOOS-III [13292–13955]He then made a presentation addressing a proposed strategy revision ofIOGOOS. The initial IOGOOS strategy was written in 2000 and was adoptedby IOGOOS in 2002. The tsunami disaster has suggested that a revision tothe strategy might be appropriate to consider new responsibilities that maybe taken up by IOGOOS. The likelihood of storm surge, tropical cyclones,droughts and flooding in the Indian Ocean region are far greater than thatof tsunamis. He suggested that awareness building and education will be farmore expensive and time consuming than building the warning/observingsystem itself and that IOGOOS should be able to help with capacity building.
IOGOOS-III [14786–15452]IOGOOS will need strengthening if it is to take on additional IOTWS tasks.Full-time staff for the secretariat is a critical need even without the IOTWStasks. The downside considerations for IOGOOS taking on IOTWS are (a)IOGOOS is operational oceanography whereas IOTWS is a 24 × 7 warningsystem and the communities involved are somewhat different, and (b) theIOGOOS Secretariat has neither the funding nor staff to take on these addi-tional tasks. The upside considerations include (1) a moderately developedcommunication network and an active community, as well as (2) the fact thatthe IOGOOS Secretariat is also the heart of Indian TWS and there already issome capability.
IOGOOS-III [18825–19064]Dr. Gary Meyers informed that climate and tsunami requirements for tidegauges have commonalities; however, there is a conflict between the real-time data reception for tsunami versus the long-term observations that arerequired for climate.
IOGOOS-III [50614–50726]The scientific basis is strong and the engagement of Indian Ocean scientistsin the process is to be commended.
IOGOOS-III [55285–55641]In his conclusion, Dr. Meyers noted that in this part of the ocean 60% of theworld population is living and that most members are developing countries.
280 Appendix B
Therefore, as I-GOOS Chair the suggestion is that the focus should be onoperational oceanography that is user-driven to mobilise governments, sci-entists and citizens. This is the challenge for IOGOOS and GOOS as awhole.
Power-Based/Structured (POBAS)
IOGOOS I [140225–140437]Should the document be simply an MOU or rather an agreement? It wasnoted that an agreement was a more formal text than an MOU and wouldrequire more formal consideration and a signature, at a governmental level.
IOGOOS I [141151–141330]It was stressed that no country should have more than three member agen-cies/institutions and that these were committed to cooperate fully in theoverall interest of the Alliance.
IOGOOS I [181534–181914]At the beginning of the new millennium, the IOC and the Government ofAustralia joined together and established an Office in Perth to assist in thedevelopment of GOOS in the Indian Ocean as well as the South Pacific. TheState Government of Western Australia plays a key role in this partnershipand views Western Australia as helping to pin down the eastern boundary ofIOGOOS.
IOGOOS I [183828–184281]However, it is unlikely that the UN can underwrite the establishment of atruly global observing system. GOOS will only be successful in the IndianOcean and elsewhere if governments and nations understand its importanceand agree to provide the funds and support required to make it work. IOCwill continue to help, but the real costs involved in running an operationalsystem will have to be met by the region itself.
IOGOOS II [22899–23206]The Hyderabad Workshop agreed that the strategy for Oceanographic Dataand Information management in the Indian Ocean region should be basedon the following requirement: The need to sensitise and get commitmentfrom governments (decision makers) to assure sustainability of the IOGOOSnetwork.
IOGOOS II [42376–42820]At the completion of the project, the work of monitoring the keystone ecosys-tems will be taken over by the governments and/or research institutions ofthe respective countries. Therefore, the relevant government departments andinstitutes must be engaged at an early stage in the project so that they becomeaware of the benefits available and the commitment required and will cometo regard monitoring as a routine part of government business.
IOGOOS-III [35094–35204]Important to identify government support before committing funding to thosecountries’ participation in workshop.
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Interest-Based/Entrepreneurial (INBAE)
OGOOS I [10008–10642]The Government of Mauritius, through its Mauritius Oceanography Institute,facilitated this landmark conference, with sponsorship from 11 internationaland national agencies and programmes: Intergovernmental OceanographicCommission, World Meteorological Organization, Department of OceanDevelopment of India, U.S. Office of Naval Research, U.S. National Oceanicand Atmospheric Administration, U.S. National Science Foundation,Mauritius Oceanography Institute, Climate Variability and PredictionProgram, Australian Commonwealth Scientific and Industrial ResearchOrganization, Land-Ocean Interaction in the Coastal Zone, Météo France.
IOGOOS I [31058–31242]For these reasons, environmental scientists and managers are advocating anew, more integrated approach that considers both environmental effects andthe effects of human activities.
IOGOOS I [32906–32967]Specified by the users as a user-driven, end-to-end system.
IOGOOS I [34845–34980]To serve the needs of many user groups, including government agencies,private enterprise, scientists, educators, NGOs and the public.
IOGOOS I [44793–45488]These may include the SE Asia Center for Atmospheric and MarinePrediction; the Regional Cooperation in Scientific Information Exchangeand the Oceanographic Data and Information Network of East Africa; fish-ery bodies such as the Indian Ocean Tuna Commission, Western IndianOcean Tuna Organization, Regional Commission for Fisheries and SouthWest Indian Ocean Fishery Commission; Regional seas conventions such asthe Nairobi Convention; Large Marine Ecosystem Programs (LMEs), suchas those planned for the Agulhas Current, Somali Coastal Current, ArabianSea and Bay of Bengal; and the Global Coral Reef Monitoring Network andthe Coral Reef Degradation in the Regional Indian Ocean programme.
IOGOOS I [102934–103489]The Indian Ocean Tuna Commission, based in Mauritius, was recognisedas a good focal point for industry and a channel for promoting best scien-tific practice and informed decisions. Capacity building in this area callsfor joint end-to-end workshops (ocean–climate–fisheries) to better identifyneeds and to cross-fertilise ideas. Ocean data and products: The prominentapplication areas identified by the working group were oil and gas indus-try (e.g. WAGOOS Timor Sea Project), coastal erosion, coral reef bleaching,coastal management and vulnerability.
IOGOOS I [105504–105736]Community-based monitoring (community, schools, hotels, local govern-ment) will be used as far as possible, with organisation, motivation andquality control through a central body, and at various levels of technicalsophistication.
282 Appendix B
IOGOOS I [106187–106363]Product users: Coastal-zone managers; coastal communities; developers andowners of hotels and housing estates; port and marina authorities and users;the scientific community.
IOGOOS I [107104–107547]Project objectives: Monitor the keystone ecosystems by large-scale remotesensing, by small-scale remote-sensing in specific areas, by community-based monitoring at specific sites under the supervision of scientists anddisseminate information to governments, to integrated coastal-zone manage-ment programmes, to communities and fishermen (especially those depen-dent on the mangrove ecosystem), tourist organisations and to the IOGOOSnetwork.
IOGOOS I [108640–108995]The measurement basis will comprise the following: long-term time-seriesmeasurements made by the community on a regular basis (e.g. every 6months or 1 year) over a long period, along with regular analysis of remote-sensing data; large-scale, spatially synoptic measurements will be taken atthe same time with the same method(s) in various places over a wide area.
IOGOOS I [112516–112729]Sustainability community-based monitoring, which has a low- and a high–cost effectiveness, will be required, with community cooperation via govern-ment agencies and integrated coastal-zone management programmes.
IOGOOS I [123900–124163]The workshop also recommended that IOC approach POGO with a viewto obtaining fellowships to enable data managers from the IOGOOS regionto undertake internships, although it was noted that data management wascurrently not identified as a priority area by POGO.
IOGOOS I [136882–137548]POGO is a recently founded NGO. Its membership comprises 50 insti-tutions and organisations, including three from the Indian Ocean: theNational Institute of Oceanography (Goa, India); Commonwealth Scientificand Industrial Research Organization (CSIRO, Australia) and the Universityof Cape Town. POGO promotes observations and improvement of scien-tific knowledge, interprets scientific and technical results for policy-makers,enhances public awareness and provides training and technology transfer.POGO also supports summer courses, fellowships, workshops and the Argoprogramme. It is looking for increased participation by Indian Ocean groupsand institutions.
IOGOOS I [137585–138034]Srinivasa Kumar briefly described a project funded by the Asian PacificNetwork for Global Change Research. In the Indian Ocean region, fivecountries—Bangladesh, India, Nepal, Pakistan and Sri Lanka—undertooka coastal-fluxes project comprising small-scale studies of sediment sourcesand movement, and of the impact of fertilisers in the southeast Asia coastal
Appendix B 283
zone. Capacity—building and regional studies on coastal zone fluxes are alsoenvisaged.
IOGOOS I [138067–138517]Yuichiro Kumamoto described the Operation Magellan 2003–2004. This isa Japanese Marine Science and Technology Center (JAMSTEC) round-the-world expedition starting in Brisbane and ending in Freemantle, Australia, inwhich hydrographic and benthic sampling will be carried out in the southernhemisphere, in all three major oceans. JAMSTEC is seeking scientific par-ticipation of scientists of the IOGOOS region in the Indian Ocean leg of thiscruise.
IOGOOS I [156276–156712]The WAGOOS region hosts many important industries, including oil and gasoperations, and fisheries, and is of national strategic importance. The keyWA stakeholders in this region have identified several important drivers forresearch and development: a safe and secure operating environment; man-agement of risk, particularly of risk to the environment and development ofefficient and cost-effective structures and operating methods.
IOGOOS II [39606–39813]The medium-term goal would be primarily the development of a detailedproject proposal that could be circulated to various national funding agenciesas well as organisations such as IOC, ONR and World Bank.
IOGOOS II [41087–41179]Relevant information will be provided to environmental managers andcoastal resource users.
IOGOOS II [46991–47398]An e-group was set up to facilitate discussions, information sharing andproject development. A request for preliminary country information on exist-ing monitoring, coastal-zone management framework and current knowledgeof coastal processes was circulated to all the participants in the coastal sec-tion of the first meeting. However, progress has been minimal due to thelimited response to these requests.
IOGOOS II [47656–48263]Expansion of network: It was decided to develop a network of contactpersons and institutions in the region who are interested in participatingin this project. These contacts would then undertake the task of filling inthe required details of the coastal-zone management framework, state ofknowledge of coastal processes and existing monitoring programmes for therespective countries. Compilation of this information would be a ticket to fur-ther participation in developing the project proposal. Some of those attendingthe conference volunteered to compile the information to identify contactpersons.
IOGOOS II [50288–50589]However, continuous, detailed monitoring by the responsible central author-ity is not feasible due to the costs involved. Therefore, it was decided to
284 Appendix B
undertake a pilot monitoring programme using the resources available at thelocal level such as tourist hotels, fishery harbours and coastal communities.
IOGOOS II [63455–64015]The IOGOOS project on monitoring of keystone coastal ecosystems isdirectly addressing issues concerning degradation of seagrass beds, coralreefs and mangrove forests. It was recognised that a coherent and coordinatedapproach can deliver improved management policies and mitigate impacts.A draft proposal has been prepared based on the recommendations of theCensus of Marine Life (CoML) Workshop held at Goa during December2003 to ensure community participation in the measurement/monitoring ofvariability and change in these important ecosystems.
IOGOOS II [64016–64239]The IOGOOS prawn project is addressing the risks and opportunities facingthe prawn industry and establishing a network and website, and pooling theexpertise to gather observations and improve understanding of the issues.
IOGOOS II [64240–64530]IOGOOS is addressing issues of coastal change and developing a networkof people and countries to examine shoreline position changes in a coherentand systematic way. A pilot project to be undertaken in Sri Lanka will interactwith the broader GOOS community and demonstrate methodologies.
Knowledge-Based/Intellectual (KNBAI)
IOGOOS I [151482–151818]In his summation, the chairman, stressed the view that the alliance wouldcollaborate closely with all the concerned IOC regional bodies. He believedthat it would be vital for the alliance to get the support of universities andother relevant institutions, with a view to building up a new corps of regionalexpertise for ocean/climate monitoring.
IOGOOS I [161013–161494]Organisationally, the work will be pursued through expert groups and coor-dination committees. To this end, WIOMAP works closely with JCOMM,which provides the necessary intergovernmental coordination in the man-agement of marine meteorology and oceanography in an analogous way tothe WMO Commission on Marine Meteorology in the field of operationalmeteorology. JCOMM also services the Convention on Safety of Life at Sea(SOLAS) in respect to sea ice, waves, surges and pollution.
IOGOOS I [190151–190264]I encourage you all to take part ownership of these meetings and make it yourgoal to contribute and be involved.
IOGOOS-III [53753–53884]Dr. Francois Gerard—France—congratulated Dr. Gary Meyers and indicatedhis belief that the design is scientifically sound and comprehensive.
Appendix B 285
Structure Over Time (STROT)
IOGOOS I [37066–38019]The design must also take into consideration certain important realities:priorities vary among nations and regions; many of the elements requiredto build the observing system are already in place; those elements of theobserving system required to improve marine services and forecast natu-ral hazards are most developed while those required for ecosystem-basedenvironmental protection and management of living resources are least devel-oped; most nations do not have the capacity to contribute to and benefitfrom the observing system at this time. In addition, the design of the coastalmodule must take into consideration the importance of the regional scalethat links global- and local-scale changes; that is most agreements and con-ventions that target environmental protection and resources are regional inscope and regional bodies provide the most effective venue for specifyinguser-group requirements for environmental data and information.
IOGOOS I [39181–39409]This can best be achieved through a global federation of regional systems inwhich the global network is established to measure and process a small setof common variables that are required by most, if not all, regional systems.
IOGOOS I [39410–39734]The network provides economies of scale and improves the cost effectivenessof regional observing systems by minimising redundancy and optimisingdata and information exchange; establishes reference and sentinel stations;and establishes international standards and protocols for measurements, dataexchange and management.
IOGOOS I [55788–55915]The strategy will be based on the following operational satellites currentlyproviding oceanographic data for the Indian Ocean.
IOGOOS II [27943–28322]The IOGOOS-II meeting acknowledged the results of the Hyderabad meet-ing and endorsed its proposed work plan (attached as Annex-1). The meetingrecalled the importance of capacity building as the basis for the achieve-ments of IOGOOS objectives in terms of data and information managementand recognised the importance of ODINCINDIO as the capacity-buildinginstrument for IOGOOS.
IOGOOS II [28740–28929]The meeting strongly welcomed the close collaboration among IOGOOS,IOCINDIO, IOCINCWIO and IODE on the advancement of data andinformation management capacity in the Indian Ocean region.
IOGOOS II [43198–43277]It is proposed that the project be considered as a joint IOGOOS/CoMLproject.
286 Appendix B
Signification/Level of Concern (SIGLOC)
IOGOOS I [31355–31609]All parties are encouraged to engage in adaptive management, a process thatdepends on our ability to routinely and rapidly detect changes in the envi-ronment and living marine resources and to provide timely predictions ofchanges in or the occurrence of the phenomena of interest.
IOGOOS I [31738–32265]Effective management and sustainable use also depend on efficient/timelycoupling of the processes by which new scientific knowledge is gained andthe fruits of this knowledge are used for the public good. Today, there is anunacceptable disconnect between these processes. A new approach is neededthat enables adaptive management through routine, continuous and rapidprovision of data and information over the broad spectrum of time spacescales required to link ecosystem scale changes to basin—and global—scaleforcings.
IOGOOS I [41280–41509]The data-management and communications subsystem is the “life-blood”of the observing system, and the development of an integrated data man-agement and communications subsystem is arguably the highest priority forimplementation.
IOGOOS I [66537–66701]However, the other elements of the sustained integrated ocean observing sys-tem for climate that have been identified as needed were not discussed, forlack of time.
IOGOOS I [162274–163785]William Erb, speaking on behalf of Gary Meyers (departed), said that theOcean Dynamics and Climate Workshop had moved GOOS activity in thisfield greatly forward and would ensure a sound basis for future growth.Mohammed Wafar, speaking on behalf of Tom Malone (departed), stressedthe fact that the Coastal Ocean Observing Workshop had revealed the eager-ness of the participants to cross barriers as a direct result of their learningthat many of the coastal problems in the region are shared; the workshophad therefore provided a great opportunity to develop regional cooperationin this field. Mika Odido, speaking on behalf of Peter Pissierssens (departed),said that the Data Management Workshop had recognised the challenges: thediversity and huge volume of the data, which called for rapid evolution in theapplication of the latest information technology. To do this, there was a needto survey present regional capabilities and incorporate them into a completenetwork within a regional data-management system. Merv Lynch, speak-ing for the Satellite Applications Workshop, noted that the role of remotesensing had been embraced more vigorously than he had expected. Theprincipal needs now were to disseminate more widely the available remote-sensing information, facilitate access to it and its exploitation. An inventoryof regional capabilities for IOGOOS purposes is needed, with substantial
Appendix B 287
capacity-building to make this effective and to produce high-quality dataproducts and interpretation.
IOGOOS I [196602–197822]As coastal states, we are largely influenced by the sea and we are nowaware of the fragility of our living environment and its sensitivity to cli-matic change, natural disasters and human impacts. Climatic change andassociated sea-level rise and tropical diseases can seriously undermine oureconomy and upset the economic, social and political stability. The rapidglobal warming caused by human-induced changes in the atmosphere is pro-jected by the Intergovernmental Panel on Climate Change (IPCC) to havedramatic effects on the ocean, threatening valuable coastal ecosystems andthe economic sectors that depend upon them. The IPCC predicts that stormsand other extreme weather events will increase in frequency and intensity,increasing natural disturbances to coastal ecosystems and perhaps reducingtheir ability to recover. There is particular concern about the possible effectsof global warming on coral reefs. During the intense El Niño of 1997–1998,extensive coral bleaching occurred on coral reefs worldwide. While somereefs quickly recovered, others, particularly in the Indian Ocean, south-eastAsia and the far western Pacific, suffered significant mortality, in some casesmore than 90%.
IOGOOS II [22549–22710]He recalled that the workshop acknowledged that the effective managementof data is central to the successful implementation of GOOS in the IndianOcean region.
IOGOOS II [23206–23591]This will require a marketing strategy; there is a need to give due atten-tion to local/national problems and produce services to solve these; localproblems often have regional/global sources. To solve local/national prob-lems data might be required from other countries in the IOGOOS regionThis is one of the important justifications for the regional approach ofIOGOOS.
IOGOOS II [34925–35335]This was done for several reasons including the value of the resource, the easeof human access to the stocks by virtue of the use of shallow inshore watersand estuaries by the juvenile stages, the general existence of catch data asa measure of population fluctuations and the perception of the significanceof the physico-chemical components of the environment in the populationdynamics of these species.
IOGOOS II [35747–35901]The first step in the development of the programme involved is the forma-tion of a network of prawn researchers in the Indian Ocean rim and islandcountries.
IOGOOS II [36018–36314]An exploratory workshop funded by the IOC was held in Perth, Australiain November 2003. This was attended by representatives from Australia,
288 Appendix B
Bangladesh, India, Kenya and South Africa, all of whom gave presenta-tions on the prawn fisheries and aquaculture situations in their particularcountries.
IOGOOS II [36969–37126]Additional contacts in Tanzania were established following the Perth work-shop and contacts in Sri Lanka and Iran during this workshop in Colombo,Sri Lanka.
IOGOOS II [37366–38068]It was further agreed that a website be created that would incorporate thefollowing information: Map of region including institutions and people withinterests, links and expertise relating to penaeid prawns; species involved;types of fisheries—techniques, fleets; summary fact sheet for each area;institutional arrangements; bibliography information and literature pertain-ing to penaeids on a region-specific basis Oceanic events influencing prawnresources (e.g. currents, water temperature); upcoming events, recent pub-lications. This was discussed at the IOGOOS II meeting in Colombo, SriLanka in April 2004 and a commitment was made that the network andwebsite be completed by the end of 2004.
IOGOOS II [38967–39557]In summary, the short-term goals for the various implementation modulesof the project (to be completed by the end of 2004) are as follows: Sl.No 8.5.1 8.5.2 action generate the report of the Perth Workshop; circula-tion of a letter to the Indian Ocean rim countries and islands with prawnresources and establishment of a network of participants; development of thewebsite. A capacity-building workshop in remote sensing techniques witha directed focus for prawn fisheries to be arranged in collaboration withDr. Merv Lynch. Time line end of May–December 2004. Action CoordinatorA T. Forbes.
IOGOOS II [44325–44842]The way forward: During the workshop, the following schedule of eventswas agreed upon for 2004/2005: Sl. No Action Time line August–December2004. Action Coordinator Greg Wagner. Greg Wagner 8.6.1 complete draftproposal and country implementation plans 8.6.2. Hold regional workshop(to be attended by two or more experts from each country) to agree onmethodologies, sites, equipment required, budget and implementation strate-gies and finalise the proposal 8.6.3. Produce final proposal and send it tofunding agencies.
IOGOOS II [46991–47398]An e-group was set up to facilitate discussions, information sharing andproject development. A request for preliminary country information on exist-ing monitoring, coastal-zone management framework and current knowledgeof coastal processes was circulated to all the participants in the coastal sec-tion of the first meeting. However, progress has been minimal due to thelimited response to these requests.
Appendix B 289
IOGOOS II [47656–48263]Expansion of network: It was decided to develop a network of contactpersons and institutions in the region who are interested in participatingin this project. These contacts would then undertake the task of filling inthe required details of the coastal-zone management framework, state ofknowledge of coastal processes and existing monitoring programmes for therespective countries. Compilation of this information would be a ticket to fur-ther participation in developing the project proposal. Some of those attendingthe conference volunteered to compile the information to identify contactpersons.
IOGOOS II [51366–51915]Action plan for next year: The following actions and deadlines were decidedupon for the 12 months following the meeting. Sl. No 8.7.1 Action. Developa network of contacts, institutions and countries interested in participat-ing in the project. Obtain information on the coastal-zone managementframework, state of knowledge of coastal processes and existing monitoringprogrammes for these countries. Interact with the COOP panel to developsuitable and feasible methodologies for monitoring. Time line August 2004.Action Coordinator Nalin Wikramanayake.
IOGOOS-III [30805–30842]“What IOGOOS can contribute to IOTWS”.
IOGOOS-III [31123–32504]The following are the major recommendations:The sea-level observing system: IOGOOS person should be nominated tojoin the ad hoc sea level working group established by ICG-1 under the lead-ership of Dr. B. Kilonsky. The deep-sea mooring network: The IOGOOS toidentify an individual familiar with the rationale and plan for the IOP networkto join the IOTWS mooring discussion group. Ocean modelling: IOGOOSto ensure that several people from IOGOOS agencies, with knowledge ofIOGOOS and its work beyond tsunamis, participate in the Hyderabad Oceanmodelling Workshop (12–13 December 2005). Vulnerability and risk assess-ment: IOGOOS could commit to provide a better characterisation of otherhazards such as sea level changes arising from climate and climate change;intra-seasonal/tropical cyclone events including both direct (wind, flooding)and indirect (storm surge) effects; coral bleaching and the vulnerability of theocean environment (reefs, ecosystems, etc.). The multi-hazard framework:IOGOOS should participate in the planned workshop (first quarter of 2006),with the areas touched on in six to be the main topics of the paper commu-nication to ICG: This discussion should form the basis of a communicationfrom IOGOOS to the ICG Chair and Officers, emphasising the need to keepcommunication lines open and to ensure the ICG Secretariat and IOGOOSOffice work closely together.
290 Appendix B
IOGOOS-III [34271–35312]The Coastal Erosion Pilot Project is consistent with the Marine Impactson Lowland Agriculture and Coastal Resources project of the COOPImplementation Strategy for the Coastal Module of GOOS. In order toprogress the pilot project a number of important steps were identified asfollows: (1) Gauge interest in this project at WIOMSA Meeting beginningSeptember 2005. (2) Poster/written information provided to WIOMSA. Dr.Wikramanayake to develop flyer/poster to be sent from IOGOOS and pro-vided to Dr. Bhikajee to deliver. (3) Workshop proposed, follow up to UNEPWorkshop, these may be regional depending on level of interest by March2006. (4) Workshop(s) would require funding (IOGOOS/IOC/UNEP). (5)Seek support from IOGOOS to promote projects for funding by membercountries (nominate relevant agency, funding source). Important to identifygovernment support before committing funding to those countries’ participa-tion in workshop). (6) Seek to integrate post-tsunami monitoring of shorelinerecovery into the proposal development process.
IOGOOS-III [35655–36591]In order for the Coastal Pilot Project to progress the following steps wereidentified, leading up to a project planning and capacity-building workshop.(1) Hold preliminary discussions at WIOMSA Symposium early September2005. (2) Hold project planning workshop on February 16–20, Universityof Dar es Salaam (re-evaluate venue). The overall objective of this work-shop will be to finalise the project proposal for submission to donors anddiscuss details of how to implement the project. (3) Country ImplementationPlans (Lead Institutions/individuals responsible, institutions, implementing,and collaborating). (4) Identify funding sources for the project (CoML, IOC,POGO). (5) Establish links to other projects. (6) Seek support from IOGOOSto promote projects for funding by member countries (they need to nominaterelevant agency, funding source). It is important to do this before committingfunding to those that countries’ participation in workshop.
IOGOOS-III [37209–38303]The following tasks have been identified as necessary to pursue this initia-tive: (1) Affirm the commitment of individuals in the Indian Ocean region toa cooperative regional approach in the form of an IOGOOS Coastal Project.Dr. Keesing to contact interested individuals/organisations in each country(these already identified for the countries identified above and invite addi-tional contacts to be put forward by other countries) by September 2005. (2)Determine the interest/relevance/links to COOP Implementation Strategy forthe Coastal Module of GOOS.
Dr. Keesing to discuss with the IOGOOS Secretariat and IOC Perth Officethe best way to do this. (3) If there is sufficient agreement and commitmentamong individuals in the Indian Ocean, then a proposal will be developedto hold a workshop in 2006 to bring together all existing observations andmake firm plans to finalise the development of and plan implementation ofthe project plan. Support and sponsorship for the workshop would need to
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be sought from a variety of sources. A report on activities would be made atIOGOOS IV.
IOGOOS-III [38527–38768]Timor Sea Deep Ocean to Continental Shelf Model Demonstration Proposal:This project proposed by Dr. Ray Steedman aims to examine the feasibilityof demonstrating the coupling of the deep ocean operational model Bluelinkwith a shelf model.
IOGOOS-IV [25091–26809]Issues of project implementation were discussed during a breakout session atthe Fourth WIOMSA Scientific Symposium held at Grand Baie, Mauritius,29 August–29 September 2005.
There was extensive e-mail correspondence with all interested participantsfrom more than ten countries in order to develop contacts with the appro-priate institutions in each country and to get input into the proposal. Thisculminated in holding a Pre-Project Planning Workshop in Phuket, Thailand,February 17–19 2006, which was attended by two to four people from eachof eight countries that are experts in coral reefs, mangrove forests, seagrassbed or remote sensing and many of whom were from government institu-tions. From this workshop, we received the following inputs: standardisationof methodologies for data collection, work plan and timeframe; and overallproject implementation and country implementation plans, including desig-nation of lead-implementing institutions and individuals, study sites, budgetand training needs.
Immediately following this workshop, the project was presented at theconference on Post-Disaster Assessment and Monitoring of Changes in theCoastal, Ocean and Human Systems in the Indian Ocean and Asian Watersalso held in Phuket, Thailand, February 20–23 2006. Since the Pre-ProjectPlanning Workshop a lot of the input has been incorporated into the over-all proposal, although more work is needed to fully capture those extensiveinputs. Through these meetings as well as workshops held in previous years,valuable input has been received from a large number of people from manycountries and many organisations having a wide range of expertise who, inaddition, have shown their support for the project.
Legitimisation/Contractual Environment (LEGCOE)
IOGOOS I [9847–9874]Memorandum of Understanding
IOGOOS I [30785–31057]A compelling case for a more holistic, unified approach to resource manage-ment and environmental protection, especially in coastal ecosystems wherehabitat alterations, water pollution and problems associated with harmfulalgal blooms and invasive species are most severe.
292 Appendix B
IOGOOS I [52124–52275]Within individual countries, different agencies may have different objectives,and priorities and mechanisms that would allow cooperation are lacking.
IOGOOS I [140225–140438]Should the document be simply an MOU or rather an agreement? It wasagreed that an agreement was a more formal text than an MOU and wouldrequire more formal consideration and signature at a governmental level.
IOGOOS II [39606–39813]The medium-term goal would be primarily the development of a detailedproject proposal that could be circulated to various national funding agenciesas well as organisations such as IOC, ONR and World Bank.
IOGOOS II [63171–63454]IOGOOS is working within the framework of the GOOS Coastal Panel andtaking responsibility in collaboration with that panel in the implementationof initiatives within the region, including contributions to the measurementof key common variables and testing of common methodologies.
Domination/Capacity of Governments (DOMCOG)
IOGOOS I [9348–9388]Many countries in the region have decided to mobilise their resources.
IOGOOS I [51791–51965]Many of the countries of the region have limited resources and the extra-funds required to study and monitor their coastal seas and the adjacent oceansare a lower priority.
IOGOOS I [56338–56695]The strategy incorporates relevant capacity-building involving the following:education and training; the building of appropriate institutional support struc-tures; the creation of networks; development of infrastructural elements (e.g.platforms, sensors, data and modelling centres); and provision of access tocommunication networks for data telemetry and dissemination.
IOGOOS I [57053–57115]Development and maintenance of a minimum scientific capability.
IOGOOS I [57151–57238]Raising understanding of the value of in situ and space-based observationsof the ocean.
IOGOOS I [57435–57556]Collection of ocean data necessary for the calibration, validation andenhancement of assimilative and predictive models.
IOGOOS I [57557–57874]Increasing the ability of countries to contribute to and benefit from globalobserving systems, by long-term investment in facilities for receiving,processing and interpreting data from ocean and space-based sources,accompanied by training in the use of such facilities and in the provisionof services and products.
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IOGOOS I [71101–71368]Initiate planning to establish a network of coastal laboratories for Internet-based data and information exchange relevant to important environmentaland ecological variability and change (sea level, river and stream flows,habitat modification, biodiversity and so on).
IOGOOS I [89289–89613]Active support of the IOGOOS Regional Alliance, the IOC Perth RegionalProgramme Office, the IOC GOOS Project Office in Paris, the GOOS CoastalOcean Observations Panel (COOP) and the Ocean Observations Panel forClimate (OOPC) will be required to turn the ideas and current enthusiasm ofthe participants into real actions.
IOGOOS I [91009–91205]An array of about 450 floats is required to meet the Argo programme goal(describe ocean temperature and salinity variability down to 40◦S, roughlythe southern boundary of the Indian Ocean proper).
IOGOOS I [96652–96896]The working group noted that substantial ship time will be required to deployand maintain mooring arrays in the Indian Ocean, making the shared use ofavailable ships very important. Suitable ships may be available, if fundingcan be supplied.
IOGOOS I [97819–97879]The working group endorsed a new SOOP XBT sampling strategy.
IOGOOS I [98189–98277]India, supported by Australia, will take the lead in establishing the new XBTsections.
IOGOOS I [99057–99596]The plan to provide the sustained observations required to meet the rel-evant objectives identified by CLIVAR, GOOS and GCOS include thefollowing: surface—climate-quality basin-wide SST, surface-wind and sea-surface-height fields and surface reference sites; upper ocean—seasonal andlonger-time –scale, temperature and salinity fields and certain boundary-current-flow information; water column—decadal-time scale basin changesin the carbon inventory and carbon distribution, nutrients and tracers andflows over certain sills and off certain shelves.
IOGOOS I [106363–106458]Capacity-building: satellite-data assimilation; modelling of coastal pro-cesses; GIS applications.
IOGOOS I [109431–109860]Capacity-building: training of community members involved in coastalecosystem monitoring in the relevant techniques; strengthening the capac-ity of the concerned regional, national and local government agenciesthrough acquisition of equipment and staff training in monitoring techniques,data-base management, data analysis and interpretation. EnvironmentalNGOs and community-based organisations (CBOs) may also assist inthis.
294 Appendix B
IOGOOS I [130980–131354]Present capabilities cover: coastal-zone and oceanic applications up to theregional level, and hazard assessment—storm surges, oil spills, flooding,habitat mapping. Iran’s satellite remote sensing capabilities are limited; itcurrently receives data from NOAA. In the region, such capabilities arelimited to Oman, and there are satellite-receiving facilities in Kuwait.
IOGOOS I [131574–131936]There is a low level of expertise; fisheries still do not make use of satelliteremote sensing. Hence, there is a need for training courses, to establish anational oceanographic data centre and a regional oceanographic data centrefor the Persian Gulf. It is also desirable to increase intra-regional cooperation,possibly through a joint regional pilot project.
IOGOOS I [132087–132645]S. Rughooputh presented a paper on “Mauritius Marine and Coastal-ZoneInformation System”. The main purpose of the system is to provide a largeand organised body of information, mostly in the form of maps, as a geo-graphical information system, for planners, scientists, and decision-makers.The information base comprises about 30,000 maps organised in some 12modules, covering all aspects of the geography of the Island of Mauritius.Some of these maps concern the coastal zone and territorial waters. Onelikely to be most useful is a shore classification.
IOGOOS I [160887–161013]The work of WIOMAP will be carried out technically using ships, mooredand drifting buoys, Argo floats and sea-level gauges.
IOGOOS I [174087–174279]At the same time, it is critical that sufficient attention is also given to thespecific priorities and problems of the developing countries, given their weakscientific and technological base.
IOGOOS I [197823–198305]As developing nations, we have not been able hitherto to devote sufficientresources to understand the oceanic processes in this part of the world wherealmost one-third of the world population live. We do not have a permanent,systematic, routine and long-term ocean-observation system for assessing thestate of the marine and coastal environment and to forecast climate variabilityand change. Indeed, we have been passive spectators to the changes in ouroceans and coastal seas.
IOGOOS I [199120–199632]The major limitation in making the Indian Ocean understood is the finan-cial constraints of the countries of the region. Few of our countries have theeconomic or logistical capacity to undertake oceanographic research on theirown. However, by working in partnership and sharing resources availablein the countries, such work is possible. Opening the research work to otherinstitutions interested in the region and with the assistance of donor agenciesit is possible to develop the oceanography in our region.
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IOGOOS I [200901–201212]However, at the national level, Mauritius has taken concrete steps to protectthe coastal zone; namely the complete phasing out of lagoonal sand mining;the updating of the National Physical Development Plan; and the develop-ment of an ICZM plan studies on wetlands, coastal erosion, islets, sensitiveareas, and so on.
IOGOOS II [3708–4244]Dr. Lalith Weeratunga, Secretary to the Honourable Prime Minister of theGovernment of the Democratic Socialist Republic of Sri Lanka, underscoredthe significant role of IOGOOS for ensuring synergy and regional coop-eration for oceanographic studies and ocean observations under globallyaccepted standards, as many countries in the region, especially the islandnations, have only limited scientific and engineering capability to under-take oceanographic research and tackle problems related to resources andenvironment in the ocean.
IOGOOS II [17554–17947]IOP members have undertaken drafting of an implementation plan based onan outline plan prepared by the chair, with initial input due in May, and com-pletion of the first draft in early 2005. A key aspect of preparing this planis to develop a high degree of consensus among all the agencies that cancontribute. This is essential to achieve a high degree of coordination in theimplementation.
IOGOOS II [18984–19288]Indian Meteorological Department is preparing a proposal to modernise theIndian coastal tide gauge network using instrumentation developed at NIOT.The new instrumentation will allow the collection of real time sea leveldata, which will assist IMD’s efforts to predict storm surge and coastalflooding.
IOGOOS II [23596–23891]There is a need to establish an equitable balance between providingand requesting of data and services but the different capacity levelsbetween countries (more developed countries may need to provide morethan they can request from developing countries) must be taken intoconsideration.
IOGOOS II [24051–24309]With respect to capacity building, the Hyderabad Workshop concluded thatthere are big differences in data and information management capacitybetween IOGOOS members. Therefore, a detailed assessment of availablecapacity and requirements is to be undertaken.
IOGOOS II [24778–25014]However, funding for the ODINCINDIO capacity-building initiatives needsto be identified, since O D I N C I N D I O itself is in the initial plan-ning stages. Accordingly, ODINCINDIO should be the capacity buildinginstrument for IOGOOS.
296 Appendix B
IOGOOS II [39814–40068]The long-term goals would be the implementation of this project with thecollection of appropriate parameters in various countries around the IndianOcean rim to improve management and predictions of change with regard toprawn fisheries in the region.
IOGOOS II [44848–45202]Once funding is obtained, launch the project with a capacity building work-shop, with separate sessions on remote sensing, coral reefs, mangrove forests,seagrass beds and rocky shores for standardisation of techniques and trainingof trainers; as well as plenary sessions so that these groups can interact andmake project implementation more coherent.
IOGOOS II [48276–48614]It was decided that the methodology to be adopted to monitor shorelinechanges should conform to the guidelines and specifications being developedby the COOP panel. However, it was recognised that the requirements of themethodology in terms of cost, equipment and training should be within thecapabilities of the countries concerned.
IOGOOS II [50288–50589]However, continuous, detailed monitoring by the responsible central author-ity is not feasible due to the costs involved. Therefore, it was decided toundertake a pilot-monitoring programme using the resources available at thelocal level such as tourist hotels, fishery harbours and coastal communities.
IOGOOS-III [2860–2979]He announced with pleasure, the launch of the Indonesian node of GOOS,InaGOOS and then signed the InaGOOS declaration.
IOGOOS-III [22379–22983]Dr. Radhakrishnan briefly described the importance of remote sensing andindicated that the United States, Europe and India have major remote sensingprogrammes that cover the Indian Ocean. He gave an example of fisheries asa case where remote sensing data is being used for an operational purpose.Remote sensing data could also be used to provide inputs for coastal land use,shoreline changes and so on. He suggested that the IOGOOS website shouldhave a page on remote sensing data availability, tools and so on. He gavean overview of the training programme offered by CSSTE-AP and IndianInstitute of Remote Sensing.
IOGOOS-III [39419–39575]Short duration training programmes proposed are as follows: At least twoor three short-duration training programmes are proposed to be conductedduring 2006.
IOGOOS-III [40006–40095]One long duration training programme: Proposed to be held at CSSTE: Asia-Pacific, Dehradun.
IOGOOS-III [40102–40576]IOGOOS website to host ocean remote sensing tutor. Content generationand case studies to be done by volunteers and IOGOOS Secretariat. Thesite could provide links to sources of Remote Sensing data (IOCCG, CEOS,
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PODAAC, NDC). 11.3.4 Expert Faculty sponsored to Country/Institution:For on the-job training, it was suggested that a programme be worked outwhere the trainer visits the trainees. Sponsorship could be requested fromthe Nippon Foundation/POGO.
IOGOOS-III [51135–51955]For the Bureau of Meteorology, we can confirm our intent to at least sus-tain and, as resources permit, enhance our ocean observing activity in theregion. The Indian Ocean region remains a top priority. This includes a sur-face drifter programme through the DBCP; surface met observations throughVOS; upper ocean measurements through XBTs/SOOP; upper ocean mea-surements from Argo profilers; SST observations; sea-level measurements(tsunami, climate) through the NTC and various products that will com-plement the observing system, including surface wind analyses and TCpredictions. With CSIRO, the RAN and AIMS and others, we continueto advocate a substantial enhancement of the observing system. The so-called Australian Integrated Ocean Observing System is being developed asa high-level initiative within Australia.
IOGOOS-III [53753–54847]Dr. Francois Gerard, France, congratulated Dr. Gary Meyers and indicatedthat he believed the design is scientifically sound and comprehensive. Helisted the activities that France conducts in the Indian Ocean such as theRegional Specialized Centre for Cyclones at La Réunion and the newly estab-lished Tsunami warning centre. France also has research vessels operating inthe Indian Ocean, able to host people from the region on their research ship.The RV “Marion Dufresne” is currently operating west of Sumatra for a posttsunami cruise, and Indian Ocean will be part of the programme of the Frenchresearch fleet in 2006. France has agreed to contribute to the IOTWS and hasdeveloped plans to contribute to tidal observation networks in the WesternIndian Ocean and to upgrade the warning dissemination capabilities in theregion. France is willing to continue to contribute to the IBPIO action groupfor surface drifters, to the Argo Programme and to XBT lines. France alsohas the capability to contribute to ocean monitoring and forecasting thru theMERCATOR project, which will be presented later.
IOGOOS-III [55669–56223]Dr. Radhakrishnan made a presentation on the Indian plan for observing sys-tems in the Indian Ocean, elaborating on ocean observation, information andadvisory services. He also mentioned the satellites planned for launch forcoastal and ocean studies. Dr. Mahesh Zingde of NIO commented on thein situ observations being implemented by NIO viz. XBT, Drifting buoysand current meter moorings. Dr. S. Kathiroli, Director, NIO, presented onthe Indian programme on moored data buoys, tide gauges, Argo floats andresearch vessels.
IOGOOS-III [56731–56919]Indonesia is participating and also contributing its research vessels andscientists for programmes like INSTANT, CoML, as well as several marineand coastal resources management projects.
298 Appendix B
IOGOOS-III [58439–58755]Considering the importance of ocean on climate, Mauritius is committedto contributing to the moorings programme in the Indian Ocean. Two tidegauges are operational and it is also willing to deploy Argo floats. Mauritiushas expertise and would be willing to collaborate with the IOP and IOGOOSinitiatives.
IOGOOS-III [59214–59481]Sri Lanka is interested in activities related to upwelling and current systems.It is operating a tide gauge and are ready to share its data. Sri Lanka wel-comes deployments of Argo floats in its EEZ. Its vessel can be used to deployinstruments in the region.
IOGOOS-III [60269–60696]The United States is ready to support capacity-building activities. IOGOOScould identify the areas requiring capacity building. Data from satellites alsoneed to be used. IOGOOS needs to articulate its operational and scientificneeds for satellites so that satellite systems can be sustained. He suggestedIOP to consider adding a statement about the potential role of the IndianOcean in the global climate context (teleconnections).
IOGOOS-IV [26813–28389]Update on Capacity Building Initiatives for Ocean Data and InformationManagement by Dr. Zaker. Dr. N. H. Zaker, Chairman of IOCINDIO andCoordinator of ODINCINDIO, presented a detailed report on the history,achievements and advances of ODINCINDIO project. ODINCINDIO projectwas first initiated at IOGOOS I meeting in 2002 and the meeting recom-mended the development of an ODIN project for IOCINDIO, complementingODINAFRICA. The proposal for the establishment of ODINCIDNIO wasproposed to IODE17 in 2003 by the Chairman of IOCINDIO. It was sup-ported by IOCINDIO Member States, IOGOOS, ROPME and was discussedin IOGOOS Workshop on data and information management in Hyderabadin 2003. Later, it was recognised as the capacity-building tool of IOGOOSon MDM and MIM in IOGOOS meeting II, 2004. It was also discussed atthe ODINCINDIO planning meeting in Tehran in 2004 and was approved byIODE 18 and IOC assembly in 2005. ODINCINDIO has become operationalsince 2005 and since then several workshops and training courses under thisproject has been conducted in IODE office, including ODINCINDIO MarineData Management Training Course, October 2005; ODINCINDIO MarineInformation Management Training Course, February 2006; ODINCINDIOData Management Training Course, May 2006. Dr. Zaker also briefedthe meeting on the strong support of IOCINDIO VI meeting, 2005, ofODINCINDIO as the joint activity of IOCINDIO, IODE and IOGOOS. Themeeting welcomed the successful achievements of ODINCINDIO and highlysupported the close collaboration of IOGOOS, IOCINDIO and IODE on thisproject.
IOGOOS-IV [30128–30783]From ocean reanalysis/prediction to coastal applications: Goal—trainIOGOOS members/associates how to use downscaling models and tools.
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The practice and application of downscaling requires research to make themodel as correct as possible. Actions: IOP chair writes expression of inter-est to Ehrlich Desa (IOC in charge of capacity building). IOGOOS andIOP chairs find someone in the modelling community to take charge ofthe project (e.g. write proposal). Submit proposal to IOC before March2007 for a training session in late 2007 or 2008. Resources: Full cash-funding from IOC required and possibly in kind funding from modellinggroups.
IOGOOS-IV [31180–31593]IOGOOS members want to participate in global research programmes butnational funding is lacking because it is always directed to local coastalproblems. Programmes like POGO provide resources for visits, but notresearch projects per se. Funding for research may be available fromAPN for the south-east Asia region and from EU for western IndianOcean. IOGOOS needs to develop a strategy to access these fundingresources.
IOGOOS-IV [38034–39072]The following capacity-building requirements were identified by the work-ing group. Basic training courses advanced training course on marinedata management: 2007. Advanced training course on marine informationmanagement: 2007. Training course on marine biodiversity data manage-ment: 2008. Data management and related capacity building for specificIOGOOS projects workshop on marine RS/GIS data management in relationto IOGOOS projects: 2007. Workshop on DM and modelling in relation toIOGOOS projects: 2007. Workshop on sea-level data management in rela-tion to IOGOOS projects: 2008. Expert exchange and visiting scientistsin relation to IOGOOS projects: 2007–2008. The meeting noted that theabove capacity-building initiatives map well with the training requirementsof IOGOOS’ Remote Sensing Working Group, Ocean and Climate WorkingGroup, as well as the Coastal Working Group. Hence, it was suggested thatall these initiatives be well coordinated. Funding for this training is to bedrawn from IOGOOS and ODINCINDIO initiatives.
Broader Consequences Across Space (BREAS)
IOGOOS I [9547–9703]Nineteen organisations of ten Indian Ocean countries signed a Memorandumof Understanding to create and actively participate in a Regional Alliance forIOGOOS.
IOGOOS I [9842–10006]This Memorandum of Understanding is one of the strongest instruments ofcooperation and collaboration in the context of the oceanographic develop-ment of the region.
300 Appendix B
IOGOOS I [10975–11444]IOGOOS is intended to elevate the Indian Ocean from one of the least studiedto one of the most studied of the world’s major oceans, with a real emphasison the link between societal and scientific issues. The 1.5 billion people of theIndian Ocean rim can now look forward to an increased ability to make use ofthe ocean observations and information produced by GOOS to improve themanagement of their marine environment and to use the ocean’s resourcessustainably.
IOGOOS I [46479–46723]The NOAA–NASA–Navy Indian Ocean Meteorological Imager (IOMI) willbe launched (as GIFTS) in early 2006, spend a year over the United States,then move (as IOMI) into geosynchronous orbit over the Indian Ocean regionover 75◦E longitude in 2007.
IOGOOS I [46831–47044]The Imager will provide enhanced atmospheric-structure information tonational weather services, ensure improved performance of synoptic weathermodels and should improve forecasts of typhoon and monsoon intensitychanges.
IOGOOS I [48881–49193]During its planned 7-year lifespan, IOMI will thus be providing moredetailed environmental information for the Indian Ocean region than will beavailable over the United States. How the IOGOOS community pioneers theapplications of this free information will be of great interest to the world’senvironmental scientists.
IOGOOS I [50062–50264]Since oceanic processes in one part of the globe remotely influence changesin weather in other parts, there is a need to observe ocean parameters in acoordinated way through international cooperation.
IOGOOS I [68779–69057]At the global level, international programmes (e.g. CLIVAR, IOGOOS) willestablish observing networks, and major analysis centres will prepare prod-ucts and predictions covering global themes relevant to the Indian Oceanregion, such as meteorology, oceanography and climatology.
IOGOOS I [69058–69403]At the regional level, such global products generally do not have enoughspatial detail for applications (e.g. agriculture, fisheries) and, consequently,downscaling by statistical and/or dynamical methods is required. Specificoceanic features may need to be enhanced in the products, which may requirebetter ocean climatology and bathymetry.
IOGOOS I [70599–70763]60 representatives of the coastal research and coastal-zone management com-munities from 16 countries in the Indian Ocean region met for the first timeand agreed to
IOGOOS I [201213–202062]I understand that one of the highlights will be signing of an MOU, a com-mitment of the nations in this region to synergise their efforts. I sincerely
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hope that it will result in increased collaboration in the region. I am surethat projects will be elaborated, strategies discussed and an operational pro-gramme would be set up to make the IOGOOS a reality. It is our expectationthat this conference will see the start of new partnerships and finally enableus to change the reputation of the Indian Ocean from one of the least knownoceans to one that is well studied and sustainably managed. With its strategiclocation in the middle of the Indian Ocean, multicultural background, and itspolitical, social and economic stability, Mauritius offers an ideal platform fora synergy of African, Asian and Australian oceanographic interests.
IOGOOS I [207136–207528]This is an onerous task; challenges are many; expectations are high; main-taining credibility is important. The concern, cooperation and commitmentthat was the driving force over the recent past need to be sustained to achieveour goals. I wish you all success. May God bless us to serve humanity better.Finally, I thank you once again for repetitive giving me the opportunity tothank you once again.
IOGOOS I [207717–208106]We have clearly accomplished the objectives of the conference. The IndianOcean GOOS Regional Alliance is now in place, with 19 members and moreto come. The chairman and officers have been elected and the secretary hasbeen appointed. Under Dr. Radhakrishnan’s leadership, we should move for-ward quickly towards our goal of a fully operational observing system forthe Indian Ocean.
IOGOOS II [60772–61176]Over the last 18 months since its formal launch at the First Indian OceanConference held at Mauritius in November 2002, IOGOOS has taken a placeof pride among the GOOS Regional Alliances. The membership of IOGOOShas grown from 19 to 21 institutions from 13 countries. IOGOOS hasnow been endorsed by the Intergovernmental Oceanographic Commissionof UNESCO as one of the nine GOOS Regional Alliances.
IOGOOS II [61337–61973]IOGOOS is providing a focus for the region, developing cooperation andopportunities for synergy among members, and creating the ability to takeadvantage of global initiatives such as Global Ocean Data AssimilationExperiment (GODAE), Climate Variability and Predictability Programme(CLIVAR) and Argo. IOGOOS is playing an important regional role in termsof observations and associated research, using pilot projects and focussedinitiatives to enhance the capacity and productivity of the region. It is facili-tating regional cooperation with research programmes such as CLIVAR andLand Ocean Interactions in the Coastal Zone (LOICZ).
IOGOOS II [61974–62660]IOGOOS has been instrumental in the formation of the Indian Ocean Panel(IOP) to address the ocean and climate observing system in the region. Thefirst meeting of IOP held at Pune in February 2004 assessed the state ofthe observing networks. IOGOOS members have played a key role in Argodeployments and in enhancing the tropical moored buoy array. The IOP is
302 Appendix B
operated jointly with CLIVAR and is providing an energetic and effectivelink to the climate research community. An implementation plan will be pre-pared during 2004–05, including extension of the mooring array, assessmentand review of the ship of opportunity programme, and initiating a series ofobserving system experiments.
IOGOOS II [62661–63171]The IOGOOS II meeting endorsed the recommendations of the IOGOOSWorkshop held at Hyderabad in December 2003 and decided to create aRegional Data Centre at the Indian National Centre for Ocean InformationServices (INCOIS), to provide a focus for data assembly and distributionactivities. The Centre will also develop a clearinghouse for the region toallow members to efficiently and effectively exploit observations and prod-ucts from the region. The delivery of key information to users will beexpedited.
IOGOOS II [65258–65538]IOGOOS welcomed the international adoption of a data policy that willenhance the timely exchange and utility of observations. The meeting agreedto test the implementation of the IOC s data policy and to demonstrate theadvantages that accrue to the region from such an approach.
IOGOOS II [65539–65860]IOGOOS will give specific attention to enhancing the capacity of the regionand developing a coherent education and training programme. The meeting,above all else, demonstrated that IOGOOS has developed a community spiritfor the region, a oneness among all agencies and participants for the benefitof the entire region.
IOGOOS-III [48929–49569]Data management/progress and shortfall: CSIRO and APDRC have com-piled and carefully edited all the available subsurface temperature data forthe Indian Ocean collected during the twentieth century. Though data fromvarious instruments at various centres are available, is a one-stop shop forresearch is missing. INCOIS and APDRC have the capability to do this. IOPrecommended that they together prepare a joint plan for Indian Ocean datamanagement and dissemination, optimising the great capability available inthese agencies. Capacity building in all the nations around the Indian Oceanrim needs to be addressed through ODINCINDIO.
State Learning/Unit Level (SLUL)
IOGOOS I [10975–11444]IOGOOS is intended to elevate the Indian Ocean from one of the least studiedto one of the most studied of the world’s major oceans, with a real emphasison the link between societal and scientific issues. The 1.5 billion people of theIndian Ocean rim can now look forward to an increased ability to make use of
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the ocean observations and information produced by GOOS to improve themanagement of their marine environment and to use the ocean’s resourcessustainably.
IOGOOS I [18323–18390]The Indian Ocean is poorly monitored in comparison to the Pacific.
IOGOOS I [22842–22924]Nevertheless, at this time there are insufficient data for initialising the model.
IOGOOS I [31610–31738]We do not have this capability today and this is an important reason forlinking the coastal and ocean-climate modules of GOOS.
IOGOOS I [31944–32012]Today, there is an unacceptable disconnect between these processes.
IOGOOS I [41708–41944]Data are often not exchanged freely among nations and, even when dataare not proprietary, data management and analysis tend to be programme-specific, and analyses that require multi-disciplinary data from many sourcestake too much time.
IOGOOS I [51677–51790]Regional marine science cooperation in the Indian Ocean has, in general,been difficult to initiate and sustain.
IOGOOS I [51965–52124]Another obstacle is the priority accorded to strategic considerations andnational security that hamper the sharing of information on the marineenvironment.
IOGOOS I [57052–57873]Development and maintenance of a minimum scientific capability to supportand participate in GOOS. Increasing understanding of the value of in situ andspace-based observations of the ocean in solving socio-economic problems,through educating the public and politicians on the benefits to be obtainedfrom investing in, developing, maintaining and utilising ocean-observationsystems. Collection of ocean data necessary for the calibration, validationand enhancement of assimilative and predictive models. Raising the abilityof countries to contribute to and benefit from global observing systems, bylong-term investment in facilities for receiving, processing, and interpretingdata from ocean and space-based sources, accompanied by training in the useof such facilities and in the provision of services and products.
IOGOOS I [102458–102583]The capacity-building required in this area involves targeted training in theapplication of information and risk management.
IOGOOS I [125445–125775]The workshop noted that resources allocated to data and information man-agement were often minimal at the national and regional level, and stronglyurged the member states participating in the Indian Ocean GOOS RegionalAlliance to increase their levels of support to ensure sustained, high-qualitydata and information management.
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IOGOOS I [169245–169329]In fact, it is the first time that Mauritius is hosting a meeting of oceanogra-phers.
IOGOOS I [180794–181147]IOC has had in a relatively short time an influential role in organising IndianOcean oceanographic activities. The International Indian Ocean Expeditionin the 1960s included many research cruises by many countries, the study ofoceanographic processes and the creation of oceanographic institutes such asIndia’s National Institute of Oceanography.
IOGOOS I [181313–181534]Other successful projects followed in the 1980s and 1990s, including theWorld Ocean Circulation Experiment (WOCE) and the Joint Global OceanFlux Study (JGOFS), likewise contributing to the knowledge base of theregion.
IOGOOS II [23206–23591]This will require a marketing strategy (1) there is a need to give due attentionto local/national problems and producing services to solve these; (2) localproblems often have regional/global sources. To solve local/national prob-lems data might be required from other countries in the IOGOOS region. Thisis one of the important justifications for the regional approach of IOGOOS.
IOGOOS II [23896–23983]There is a need to empower the countries in the region to generate their ownservices.
IOGOOS II [26422–26787]The objectives that will be met during the short term include the fol-lowing: (1) identify national/regional problems, required services/products,required data types, national/regional partners, users/stakeholders throughsurveys/studies; (2) arrange the data and Information training (ODIN + cycle,etc.); and (3) start up limited services to all IOGOOS members for public use.
IOGOOS II [46371–46962]The objectives of the project are as follows: To assess historical dataon shoreline change, establish trends and place these in the context ofcoastal geomorphology, hydrodynamic regime and natural and anthro-pogenic drivers of change. To establish an adequate, cost effective systemto monitor changes in the shoreline and coastal morphology. To develop aquantitative understanding of coastal processes and the relationship betweenshoreline change and the various natural and anthropogenic drivers. Todevelop the ability to make predictions of shoreline change due to extremeevents.
IOGOOS II [49300–49853]Capacity-building needs: Several capacity-building requirements were iden-tified during the discussions. One of the first steps toward predictingshoreline change is to use historical data to obtain an understanding of ongo-ing coastal processes in the context of geomorphology and forcing. Thereappears to be a wide disparity in the state of knowledge of coastal processesamong the countries in the region. Capacity building is also needed to process
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and interpret remotely sensed data and to model shoreline changes using dataon ocean wind and waves.
IOGOOS II [49854–50213]Pilot project in Sri Lanka: In response to the severe coastal erosion that hastaken place over the last three decades, many of the activities envisaged bythe project including assessment of historical data, obtaining a qualitativeand quantitative understanding of coastal process and modelling nearshorehydrodynamics have been carried out in Sri Lanka.
IOGOOS II [52845–53467]The actual project would have duration of 5–7 years. It is expected that thefirst year of project implementation would involve the final selection of sites,training of personnel involved in monitoring, quality control and data man-agement and setting up a regional data sharing network. Monitoring wouldbegin late in the first year and products would be available by the end of thesecond year. Acquiring and interpreting remotely sensed data on shorelinechange would also begin in the first year while development of a capabilityto predict shoreline change would begin in the second or third year.
Regional Cooperation/Subsystem level (RCSSL)
IOGOOS I [100416–100569]The working group comprised participants representing the various IndianOcean regions—southern Africa, east Africa, south Asia, south-east Asia andAustralia.
IOGOOS I [152689–153711]GOOS-AFRICA brings an African dimension and contribution to the GlobalOcean Observing System. It aims to build up a Regional Ocean Observingand Forecasting System for Africa (ROOFS AFRICA) that will develop newcapabilities in the use of remotely sensed data, in situ ocean measurementsand observation/validation networks, coastal and marine modelling and fore-casting, and delivery systems for user products. It will thus contribute tothe capacity-building (training and technology transfer) essential for theproper development, management and protection of the socio-economicallyimportant coastal and marine environment of Africa. ROOFSAFRICA willwork interactively with relevant regional and national programmes, suchas IOGOOS. Twenty-six African countries participate in GOOSAFRICA:Angola, Benin, Cameroon, Comoros, Congo, Côte d’Ivoire, Gabon, Gambia,Ghana, Guinea, Kenya, Madagascar, Mauritius, Mauritania, Mozambique,Namibia, Nigeria, Senegal, Seychelles, Sierra Leone, South Africa, Tanzaniaand Togo.
IOGOOS I [158429–158626]The following countries are participating in SEAGOOS: Australia,Cambodia, Indonesia, Malaysia, Myanamar, the Philippines, Thailand, andVietnam. The region is characterised by numerous small seas.
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IOGOOS I [158870–159253]SEAGOOS countries have had long-term cooperation with WMO in thefield of marine meteorology, but less in the field of operational oceanog-raphy. However, SEAGOOS is developing this aspect, particularly throughits South-East Asian Center for Atmospheric and Marine Prediction(SEACAMP), which is running a South China Sea storm-surge, wave andcirculation pilot project with JCOMM.
IOGOOS I [159520–159839]It was proposed and agreed that each regional GOOS alliance should do threethings: Cooperate closely with national meteorological offices and nationalocean data centres in the execution of GOOS pilot regional projects, linktheir websites and send a representative to the meetings of the other regionalGOOS alliances.
IOGOOS I [160266–160886]Nine countries are participating in WIOMAP. Its creation was preceded bya survey, in 1997, of the relevant institutions in the Indian Ocean region,followed by an expert mission in 1999. The WIOMAP project was draftedin 2000 and reviewed in 2001. It covers operational meteorology, marinesafety and fisheries, and weather forecasting and disaster preparation. It isaimed at providing services, facilitating marine communication and capacity-building, and developing an observational network and specialised regionalmarine applications centres. It is planning regional marine applications to beimplemented in 2004–2008.
IOGOOS II [50626–50943]Several connections between the requirements of this project and the activi-ties planned by other panels under IOGOOS were discussed. The predictionof shoreline change, particularly in response to extreme events, is one of thecustomers of the operational oceanography that is the ultimate goal of theclimate panel.
IOGOOS-III [2348–2860]Dr. Freddy Numberi, Hon. Minister for Marine Affairs and Fisheries ofIndonesia, stated that IOGOOS has taken up the challenge to implementan ocean observing system in the Indian Ocean and also basin scalepilot projects. He briefly recalled the history of oceanographic activities inIndonesia and its recent initiatives in developing the Indian Ocean TsunamiWarning and Mitigation System (IOTWS). He stressed that IOGOOS IIIneeds to address the requirements of capacity building for operationaloceanography.
IOGOOS-III [57188–57368]In short, Indonesia has two agendas—It wishes to intensify its observationallines, and make Indonesia a hub for data dealing with data archival, rescueand exchange.
IOGOOS-IV [27725–28080]ODINCINDIO became operational in 2005 and since then several work-shops and training courses under this project has been conducted in IODE
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office, including ODINCINDIO Marine Data Management Training Course,October 2005; ODINCINDIO Marine Information Management TrainingCourse, February 2006; ODINCINDIO Data Management Training Course,May 2006.
International Cooperation/System Level (ICSL)
IOGOOS I [9878–9943]One of the strongest instruments of cooperation and collaboration.
IOGOOS I [10642–10745]The oceans may be viewed as keeping countries apart, but GOOS may beviewed as bringing them together.
IOGOOS I [13149–13220]For the benefit of all the people of the Indian Ocean region and beyond.
IOGOOS I [44554–44693]IOGOOS has the potential of being a model for the development of aregional-observing system in a region dominated by developing countries.
IOGOOS I [45489–45822]The formation of a GOOS Regional Alliance for IOGOOS should not onlyprovide the most effective means of establishing regional priorities and userrequirements, it should provide a venue or framework for establishing andmaintaining the regional partnerships that will be needed to implement anddevelop the coastal module of IOGOOS.
IOGOOS I [101833–101917]The working group identified three areas in which regional activity may takeplace.
IOGOOS I [101973–102146]Regional uptake of weather and climate information and predictions by tai-loring them to specific management decisions in agriculture, water-resourceusage and public safety.
IOGOOS I [102605–102770]The ocean analyses and predictions will provide relevant data (e.g. high-resolution SST, altimetry) and integrated analyses to the less competitivefishing nations.
IOGOOS I [104183–104308]The capacity-building identified in this area includes technical aspects of aregional distributed data centre and service.
IOGOOS I [112090–112515]International cooperation: Keystone coastal ecosystems are interdependentover large geographical areas; ecosystem changes in one place will affectother places; therefore, sharing of data on ecosystem condition or changethroughout the region will enable governments, integrated coastal-zone
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management programmes, marine-protected areas and so on to take neces-sary action in habitat/ecosystem conservation and restoration planning.
IOGOOS I [113018–114007]Rationale for choosing penaeid prawns: Regional dependence on fisheries;the generally poor state of coastal fish stocks; the high value of the prawnresources; the wide regional distribution of prawns; artisanal and commercialfisheries already established regionally; generally the same species region-ally; general availability of catch data; the aquacultural value of prawns;the prawn life-cycle integrates inshore marine and estuarine environmen-tal effects. Project objectives: Creation of links amongst scientists (coastallaboratories), coastal managers and communities; creation of a central dataservice/product hub available to all; building of sustainable capacity andinfrastructure; monitoring of prawn recruitment and abundance via existingfisheries; determination of effects of local conditions (e.g. freshwater run-off); creation of a link to ocean-climate observations; detection of changein prawn-fishery yield in relation to local and regional oceanic/climaticevents.
IOGOOS I [131827–131936]It is also desirable to increase intra-regional cooperation, possibly through ajoint regional pilot project.
IOGOOS I [171397–171735]Centres of excellence exist in many parts of the world to help foster inter-national cooperation in capacity building, dissemination of knowledge andexperience and as well as for research activities. In Europe, for example,there is a network of more than 300 marine research institutes and universitydepartments to carry out ocean research.
IOGOOS I [179711–180697]Initiatives such as GOOS are one of the mechanisms that tears down thesebarriers of dissention, conflict and fear. GOOS brings nations and peoplestogether to work at a common purpose for the good of all. It helps to definethe common problems and needs of a region and then provides the frameworkfor taking joint action to address those needs. Through meetings, workshopsand projects, people come together and learn to trust and understand eachother’s views and to resolve differences. I am hopeful that IOGOOS willcontribute to this ancillary goal as it goes along its way to establish anocean and coastal observing system for the entire Indian Ocean. RepresentingUNESCO, as I do, I can easily see how GOOS supports the ideals of theorganisation to build peace in the minds of people. The ocean, the largestglobal common on Earth, offers us the opportunity to put into practice theseideals in an area of activity that we are certain will bring direct benefits tohumankind.
IOGOOS I [199633–199795]It is possible through regional and international cooperation between ournations to focus effort on and address the most pressing regional environ-mental dangers.
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IOGOOS I [200559–200901]As one of the oceans where oceanographic understanding is lagging behindthat of other oceans, there is yet much work to be done in the Indian Oceanregion, and I am sure that you will all use the opportunity of this gatheringto define the important issues of the area and develop a viable plan for theoceanographic future of this region.
IOGOOS II [3708–4245]Dr. Lalith Weeratunga, Secretary to the Honourable Prime Minister of theGovernment of the Democratic Socialist Republic of Sri Lanka, underscoredthe significant role of IOGOOS for ensuring synergy and regional coop-eration for oceanographic studies and ocean observations under globallyaccepted standards as many countries in the region, especially the islandnations, have only limited scientific and engineering capability to under-take oceanographic research and tackle problems related to resources andenvironment in the ocean.
IOGOOS II [33651–33877]It was suggested that IOGOOS may endorse MILAC-India, with the pro-viso that the efforts of the pilot project would not only result in operationalcapability, but also the knowledge base would be adaptable for the entireregion.
IOGOOS-III [43287–43414]He showed the high correlation between SST and rainfall in Africa andIndonesia associated with the Indian Ocean Dipole (IOD).
IOGOOS-III [43900–44009]The Indian Ocean observing system is needed to identify the ocean-processesand initialise prediction models.
IOGOOS-III [50751–51135]Australia attaches great importance to the Indian Ocean region for globaland regional weather prediction; tropical cyclone and other extreme weatherprediction; studies and prediction of intra-seasonal variability such as theMJO; emerging operational ocean analysis and prediction systems; seasonalto interannual climate prediction; and monitoring and understanding climatechange.
IOGOOS-III [55285–55422]In his conclusion, Dr. noted that in this part of the ocean 60% of the worldpopulation is living and that most members are developing countries.
IOGOOS-III [57820–58169]The continuous vandalism is a major obstacle for the mooring array and itcannot be solved without commitment by IOGOOS member countries toreach and educate fishing fleets. JAMSTEC is also planning a research cruisenamed MISMO focusing on air-sea interaction during MJO in 2006 by R/VMirai that will contribute to the Indian Ocean climate studies.
IOGOOS-III [58198–58438]Mauritius is a small country, but is fully committed to cooperating with theworld community. Mauritius has hosted the IOTWS Meeting and will host
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the forthcoming WIOMSA Meeting. They are members of IOCINDIO andhave a national GOOS community.
Stages of Regime Formation (STAREGFOR)
IOGOOS I [9195–9545]Being constantly aware of their living environment and its sensitivity toclimate change, natural disaster and human impact, the Indian Ocean coun-tries have decided to mobilise their resources to safeguard and manage theiroceans and coastal waters through a permanent ocean observing system, theIndian Ocean Global Ocean Observing System (IOGOOS).
IOGOOS I [38020–39096]These considerations have important consequences in terms of the design ofthe coastal module: (1) the design must respect the fact that priorities varyamong regions and should leave system design on the regional scale to stake-holders in the regions; (2) economies of scale can be achieved by establishinga global system that measures variables and manages data streams requiredby most regions; (3) the global coastal network will come into being througha combination of national, regional and global processes; (4) the system canbe implemented by selectively linking existing elements and can be devel-oped by enhancing and complementing these elements over time and (5)high priority must be placed on capacity-building in developing countries,establishment of the data communications and management infrastructure,establishment of internationally accepted standards and protocols for mea-surements, data exchange and data management; and on marine research todevelop the sensors and models required to achieve those goals that requirebiological and chemical data.
IOGOOS I [163786–164383]William Erb spoke on behalf of IOC; his statement is in Annex 1g. Hebelieved that the objectives of the conference had been accomplished. TheIndian Ocean GOOS Regional Alliance had been established at this con-ference, the chairman and officers elected, and its secretary appointed.Under Dr. Radhakrishnan’s leadership, IOGOOS should move forwardquickly toward becoming a fully operational observing system for the IndianOcean. He thanked the Government of India for providing a “nest” for thenewest regional GOOS at the Indian National Centre for Ocean InformationServices, in Hyderabad.
Agenda Formation (AGFOR)
IOGOOS I [11520–11930]IOGOOS will minimise the disconnect between procedures and requirementsin the observation of the Indian Ocean, and enable the community to derive
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benefits from baseline data, routine and timely maps of ocean properties anduseful forecasts on all relevant time-scales. This will enable the detection ofclimate change in the marine environment with the least possible lag betweenchanges and their detection.
IOGOOS I [12928–13147]to the generation of oceanic knowledge, data, and information and theirapplication to the ocean- and climate-change problems of the Indian Ocean,and to the free and open access to such knowledge, data and information.
IOGOOS I [28709–30050]The combined effects of climate and human alterations to the environmentare especially pronounced in the coastal zone where people and ecosystemgoods and services are most concentrated and where inputs of energy andmaterials from land, sea and air converge. Simply put, these are the pri-mary reasons for making the establishment of the coastal module of GOOSa high priority. The phenomena of interest in coastal ecosystems includeglobal warming and sea-level rise and changes in circulation, coastal floodingand erosion, public-health risks, coastal eutrophication, habitat modification,harmful algal blooms, invasive species, loss of biodiversity, sustainable cap-ture and aquaculture fisheries, and chemical contamination. Changes in thesephenomena affect marine operations, public safety and health, the integrityof marine ecosystems and the sustainability of the living marine resourcesthey support. In terms of human impacts, overfishing was not only the firstmajor human perturbation of coastal ecosystem dynamics; it is also a primarydriver of ecosystem degradation on a global scale in that it exacerbates theeffects of nutrient pollution, contributes to habitat modification and loss ofbiodiversity, and increases the susceptibility of coastal ecosystems to invasivespecies, harmful algal blooms and outbreaks of disease.
IOGOOS I [35782–36362]The sponsors charged COOP to formulate design and implementation plansfor an observing system that will provide the data and information requiredto achieve six goals: (1) improve the safety and efficiency of marine opera-tions, (2) mitigate the effects of natural hazards on coastal communities andecosystems more effectively, (3) improve predictions of climate changes andtheir effects on coastal communities and ecosystems, (4) minimise public-health risks, (5) more effectively protect and restore healthy coastal marineecosystems and (6) sustain living marine resources.
IOGOOS I [39096–39181]Clearly, the coastal module must include both global- and regional-scalecomponents.
IOGOOS I [42422–43376]The creation of a Joint Technical Commission for Oceanography and MarineMeteorology and initiatives such as the Argo and GODAE projects reflectthe progress that is being made in the design and implementation of theglobal ocean module of GOOS. In contrast, although a high priority of theinternational community, progress in developing the coastal module has beenslow. This is primarily a consequence of (1) the challenge of designing and
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implementing an internationally accepted coastal module to achieve the sixgoals in a diversity of complex coastal ecosystems; (2) the challenges ofdeveloping the regional and global partnerships needed to fund, implement,operate, and develop operational observing systems; (3) inefficient and inef-fective data communications and management systems and (4) the primitivestate of our capacity to rapidly and routinely detect and predict changes thatrequire measurements of biological and chemical variables.
IOGOOS I [49827–50061]Our ability to forecast weather, to sustainably use the marine resourcesand maintain the ecosystem values of the marine environment is effectivelydependent on rapid detection and timely prediction of the changes in oceanprocesses.
IOGOOS I [58252–58374]The purpose of the workshop was to take the next steps in planningimplementation of a basin-wide, pilot observing system.
IOGOOS I [65951–66536]The working group proposed three pilot projects: (1) to develop the deploy-ment of Argo floats, from the current level of about 67–170 in 2003, andto 450 in 2005; (2) to develop Indian Ocean mooring arrays, not only inthe equatorial zone, but also in the four zones of high seasurface tem-perature anomalies (northern Bay of Bengal, off the southern coasts ofSumatra and Java, western Arabian Sea and the southern Indian Ocean);(3) the implementation of a new ship-of-opportunity XBT Project, withemphasis on high-resolution, frequently repeated lines across the IndianOcean.
IOGOOS I [68514–68654]The working group covered three main issues: exploitation of climatepredictability, fishery applications, and ocean data and data products.
IOGOOS I [69404–69695]At the local level, which was specifically addressed by the confer-ence’s Coastal Ocean Observing Workshop, the regional concerns, suchas management of the risk of climate variability and of change in themarine environment, fish production and coastal erosion, will need to beaddressed.
IOGOOS I [70766–71101]Formulate three proposed pilot projects that (1) target high-priority phenom-ena of interest in coastal waters that are important to at least one of the sixgoals of GOOS and (2) require regional (multi-national) to global approachesto improve the ability to more rapidly detect changes and/or to provide timelypredictions of changes.
IOGOOS I [71947–72521]To achieve these goals, it was agreed that a representative from each countrywould briefly describe 2–3 phenomena that are accorded the highest priorityin the country. The presentations are summarised below. This provided thebasis for selecting 2–3 phenomena that are (1) high priorities for the Indian
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Ocean region in terms of their impact on the socio-economics of the countriesin the region; (2) are feasible and (3) make good subjects for pilot projectsthat would demonstrate the effectiveness of the GOOS approach and wouldtherefore be likely to attract funding.
IOGOOS I [85050–85623]In the light of these country reports, the phenomena of interest in coastalwaters were prioritorised as follows: coastal erosion, habitat/biodiversity,nutrient pollution, sustainable fisheries, chemical contamination, non-nativespecies, aquaculture, coastal flooding, harmful algal blooms and safety of lifeat sea. It was decided to develop pilot projects for three of these as follows:coastal erosion, habitat/biodiversity, and sustainable fisheries, the latter beingpreferred to nutrient pollution on the grounds that it encompassed a widerrange of environmental factors.
IOGOOS I [104801–104898]The working group proposed a pilot project on monitoring and predictingcoastal shoreline change.
IOGOOS I [106639–106785]The working group proposed a pilot project on multi-scale monitoring andmapping of keystone coastal ecosystems. Greg Wagner presented the report.
IOGOOS I [112775–112927]The working group proposed a pilot project on the development of a moni-toring and management system for the penaeid prawn resources in the IndianOcean.
IOGOOS I [128035–128335]It is also necessary to decide which possible products are appropriate; forthis, it is necessary to know precisely what the problems are. That of fish-ery management, especially in shallow water, is a common one. And theassimilation of data into models is another; but the question is: whichmodels?
IOGOOS I [131354–131574]The priorities for Iran are habitat, pollution and coastal-zone mapping, andthe needs are for increasing public awareness, capacity-building, data andinformation exchange within the region and with the outside world.
IOGOOS I [138563–139045]Mark Jury presented three regional pilot projects: Storm surges in the Bay ofBengal; the Western Indian Ocean Marine Application Project (WIOMAP)and the Indian Ocean Moored Array Project (I-MAP). These projects arepart of the Indian Ocean Observing Strategy. The Bay of Bengal storm-surgeproject is important because of the tremendous loss of life and property fromsuch surges. IMAP is proposing nine deep-sea moorings, involving Australia,France, India and the United States.
IOGOOS I [139122–139263]WIOMAP seeks to enhance coastal observations and the training of localpeople in oceanography and meteorology. I-MAP also involves WIOMAPcountries.
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IOGOOS I [146678–146940]The Development Committee expanded on the draft of the Indian OceanObserving Strategy, originally drafted by the IOC Perth Regional ProgrammeOffice. This strategy is underpinned by the intention to anchor IOGOOSfirmly in the IOC Global Ocean Observing System (GOOS).
IOGOOS I [153907–154214]Priorities issues for GOOSAFRICA are (1) sustainable use of living marineresources; (2) management of key habitats and ecosystems; (3) coastal ero-sion; (4) pollution, including land-based sources and marine pollution and(5) socio-economic benefits to be derived from the development of theROOFSAFRICA.
IOGOOS I [155799–156276]The WAGOOS goal is to establish GOOS activities in western Australia(WA) to benefit the State and Australia and the GOOS community of nations.Consistent with this goal, a preliminary strategy for the period 2002–2007has been developed. The outcome is expected to be a unified regional net-work that systematically acquires, integrates and distributes observations,analyses, forecasts and other useful products to users throughout westernAustralia and its adjacent seas.
IOGOOS I [156712–156867]The development of best practice in safety and environmental managementis a high priority and this requires knowledge and a detailed informationdatabase.
IOGOOS I [158627–158870]SEAGOOS priorities currently lie in CLIVAR, coastal dynamics and pollu-tion, ecosystems, and fisheries. Climate variation is important on the seasonalscale (featuring tropical storms) and the interannual scale (featuring droughtsand floods).
IOGOOS I [184625–184753]GOOS is designed with a broad purpose of “public service” in mind, and itsdevelopment is financed by the member states of IOC.
IOGOOS I [189403–189631]You may have noticed that this is not a typical conference with papers to readand people to listen to. It is a series of meetings designed to produce plans,recommendations and objectives for establishing an Indian Ocean observingsystem.
IOGOOS I [195702–196601]As we are all aware, the study of the Indian Ocean is important for the coun-tries of the region and outside the region for various reasons. It is important tounderstand ocean processes for several reasons; namely, the optimum explo-ration and sustainable exploitation of ocean resources. Tuna migration hasa direct relation to variations in the sea surface temperature pattern wherethe season air–sea interactions in the open ocean also affect the weatherglobally and regionally; for example a direct correlation has been foundbetween the sea surface temperature in the Indian Ocean and the rainfall
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in the region. The circulation of oceans transports pollutants across nationaland geopolitical boundaries and can affect regions near and far from wherethese pollutants originated. Resources in the ocean, such as pelagic species,know no boundaries, travelling from one national water to another.
IOGOOS I [199796–200559]I think I express the wish of all the countries of the region when I say thatequal importance should be given to coastal and oceanic processes. Most ofthe countries here today, representing the Indian Ocean region, have a largepercentage of their population living in coastal areas. These areas are facingincreasing pressures from land-based activity due to development, grow-ing populations and global problems such as sea level rise. This particularproblem due to global warming will become a real threat to small islandslike those in the southwest Indian Ocean. Hence, coastal issues need to beurgently addressed. By addressing pressing issues of the coastal states in theregion, the IOGOOS has better chances of becoming a successful operationalsystem.
IOGOOS I [208261–209104]Although much work is yet to be done, we have discovered that there areproducts and applications that can be delivered to the users in this regionwith the tools that already exist. It is a matter of organising ourselves todeliver them, and the conference has identified many people and institutionsto assist in this task. There are some things we still need to do: We must havepilot projects to pave the way for operational observing systems. Capacity-building in data collection, modelling and applications is necessary. We mustbuild awareness of GOOS and secure funds to carry out our work. We mustdevelop plans for implementation of ocean and climate, and coastal-oceanobserving systems. Improved use of satellites for our applications is essential.We must strengthen communication links and improve infrastructure in theregion.
IOGOOS II [5274–5794]He reiterated that systematic ocean observation is essential for understandingthe structure and dynamics of ocean as well as for improving predictabilityof ocean and climate, especially for the Indian Ocean that is quite complexand unique, but still underobserved. After giving an overview of the progressaccomplished by IOGOOS since its formal launch in November 2002, hestated that the focus of this meeting is to come up with concrete action plansand proposals as IOGOOS is entering the phase of implementation.
IOGOOS II [20130–20389]Briefly, the TOR instructs the panel to provide scientific and technical over-sight of oceanographic observations; develop an implementation plan forsustained observations Liaise with relevant bodies (e.g. AAMP JCOMM);and report to CLIVAR SSG and GOOS.
IOGOOS II [20436–20681]IOP faces two important future challenges. First, it is essential to buildbridges to the coastal component of IOGOOS. Climate impact is one of the
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key drivers of coastal ecosystems, fisheries (prawn in particular), and coastalerosion.
IOGOOS II [21112–21515]Second, IOP needs to develop an integrated theme of oceanographic researchon the role of the Indian Ocean in climate variability and change. The themeneeds to explore the full impact of the Indian Ocean, from regionally con-trolled monsoon variability to the global ocean linkages that play a role inthe global transports of mass, heat, freshwater, nutrients, carbon and otherimportant properties.
IOGOOS II [22899–23205]The Hyderabad Workshop agreed that the strategy for oceanographic dataand information management in the Indian Ocean region should be basedon the following requirements: the need to sensitise and get commitmentfrom governments (decision makers) to assure sustainability of the IOGOOSnetwork.
IOGOOS II [30539–30951]The group ultimately converged on some more specific projects. Followingthe suggestion of Prof. Lynch in the Plenary session, the group agreed thatan initiative to develop an advanced high-resolution SST product for theIndian Ocean region would both meet identified needs across a range of areasand provide a framework for cooperation in delivering a unique product: aproduct that would be associated with IOGOOS.
IOGOOS II [31565–31646]It was also agreed that a regional ocean colour product should also bedeveloped.
IOGOOS II [33651–33877]It was suggested that IOGOOS may endorse MILAC-India, with the pro-viso that the efforts of the pilot project would not only result in operationalcapability, but also the knowledge base would be adaptable for the entireregion.
IOGOOS II [34164–34722]A major outcome of the inaugural meeting of the Indian Ocean Global OceanObserving System (IOGOOS) held in Grand Baie, Mauritius in November2002 was the incorporation of a coastal component into what had historicallybeen a programme aimed at oceanic processes. This developed from a surveyof Indian Ocean rim and island countries in which representatives were askedwhat they considered to be major coastal environmental problems. Thesewere then, by consensus, reduced to three: biodiversity loss, coastal erosionand sustainability of fisheries.
IOGOOS II [34800–34925]After consideration by the relevant committee the sustainable fishery issuewas focused on the shallow water prawn resource.
IOGOOS II [40400–41087]The primary keystone ecosystems in the Indian Ocean region are coralreefs, mangrove forests, seagrass beds and rocky shores, which have been
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partially or severely degraded in most countries and which have thereforebeen selected as the targets of this project. Monitoring of these ecosystemswill facilitate their proper management, which can have significant posi-tive impact on the entire coastal/marine environment. Goal or developmentobjective: The goal of this project is to take a regional approach to rapidlydetecting changes and making timely predictions of changes in high priorityphenomena of interest in coastal waters; namely, keystone ecosystems andtheir biodiversity.
IOGOOS II [46260–46371]The aim of the project is to establish a regional network to quantify,understand and predict shoreline change.
IOGOOS II [52352–52844]Outlook for the future: Looking beyond the 1-year period covered by theaction plan outlined above, the following activities are anticipated over thenext few years: Capacity-building workshops in the assessment of shorelinechange using existing data, use of remote sensing data to quantify shorelinechange and modelling of nearshore hydrodynamics using large-scale oceandata, 2005/2006. Final project proposal development workshop for late 2005.Initiation of project late 2006 or beyond.
IOGOOS II [64530–64793]The IOGOOS II meeting recognised the urgent need for satellite productsand associated capacity building, through all activities, and agreed to assistin the development of enhanced SST products as well as other products forthe coastal and biological community.
IOGOOS-III [3248–3925]Dr. Radhakrishnan, chairman of IOGOOS, recalled the evolution and growthof IOGOOS since its formal launch at Mauritius in November 2002, andacknowledged the contributions made by several individuals and institu-tions to bring it up as one of the best GOOS regional alliances (GRA)with 19 members from 12 countries in the region and 2 associate mem-bers. He informed the meeting that the IOP had made excellent progress inpreparing a draft implementation plan for ocean observations in the IndianOcean for climate. He stressed that the coastal GOOS pilot projects have tobe evolved into concrete proposals in conformance with the IOC’s CoastalGOOS implementation plan.
IOGOOS-III [46031–46345]The high level objective of the observing system is to observe, describe,understand, model and predict: seasonal monsoon variation with relatedintra-seasonal variability; the interactions among monsoon—El NinoSouthern Oscillation—Indian Ocean dipole; and the multi-decadal warmingtrends and natural variation.
IOGOOS-IV [29172–29445]How can IOP activities (large-scale oceanography and climate) connect withAfrican activity? Ocean reanalysis and climate model results linked to coastalIOGOOS: How to get the products out? IOC/IOGOOS science programmers:
318 Appendix B
How can the region become active in the science? Through a permanentocean-observing system.
Institutional Choice (INCHO)
IOGOOS I [9445–9487]IOGOOS I [39734–39838]
GOOS Regional Alliances, guided by national and regional priorities, createRegional Application Centers.
IOGOOS I [40271–40346]The global network will not, by itself, provide all of the data/information.
IOGOOS I [41043–41247]Regional observing systems are critical building blocks of the coastal mod-ule of GOOS, especially for achieving the goals of sustaining and restoringhealthy marine ecosystems and living marine resources.
IOGOOS I [41280–41509]The data-management and communications subsystem is the “life-blood”of the observing system, and the development of an integrated data man-agement and communications subsystem is arguably the highest priority forimplementation.
IOGOOS I [41957–42166]to establish an integrated data-management subsystem that serves data inboth real-time and delayed mode and allows users to exploit multiple datasets from many different sources through “one-stop-shopping.”
IOGOOS I [42422–43377]The creation of a Joint Technical Commission for Oceanography and MarineMeteorology and initiatives such as the Argo and GODAE projects reflect theprogress that is being made in the design and implementation of the globalocean module of GOOS. In contrast, although a high priority of the interna-tional community, progress in developing the coastal module has been slow.This is primarily a consequence of (1) the challenge of designing and imple-menting an internationally accepted coastal module to achieve the six goalsin a diversity of complex coastal ecosystems; (2) the challenges of develop-ing the regional and global partnerships needed to fund, implement, operateand develop operational observing systems; (3) inefficient and ineffectivedata communications and management systems and (4) the primitive state ofour capacity to rapidly and routinely detect and predict changes that requiremeasurements of biological and chemical variables.
IOGOOS I [50701–50844]A data-management and communication system that provides rapid access todata and information will be the “lifeline” of the observing system. I shoulddevelop a hierarchical, distributed network of local, national and regionalmechanisms feeding eventually into a global framework,
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IOGOOS I [50914–51052]
IOGOOS I [71369–71558]This will be the first step toward establishing the data communications infras-tructure that will be required to build the data-management infrastructure forthe coastal component of IOGOOS.
IOGOOS I [71559–71942]Establish a development committee that will (1) oversee the developmentof pilot projects, including the coastal laboratory network, and (2) serve asa point of contact for the ocean climate component of IOGOOS and otherbodies interested in the development of the coastal component of IOGOOS(other regional bodies, research programmes important to the developmentof IOGOOS and so on).
IOGOOS I [86821–87324]The Breakout Session II concluded by forming an IOGOOS CoastalDevelopment Committee (ICDC) with an Executive Committee (∗ in mem-bership list below) that will (1) promote the development of the three pilotprojects and a network of coastal laboratories for data and informationexchange, (2) coordinate their development with ocean climate pilot projectsand (3) provide the focal point for the IOGOOS Secretariat to coordinate thedevelopment of the ocean climate and coastal modules of IOGOOS.
IOGOOS I [109937–110454]Institutional and infrastructural development. Development of a network ofuniversities and government offices to help in designing and implementingthe project; many universities and governments have environmental moni-toring programmes, so that sharing information amongst them would helpto optimise project design, thus enabling the project to be carried out inmany countries in a standardised way. Designation of contact persons in eachcountry to help network people in their country with those in other countries.
IOGOOS I [115172–115871]The International Oceanographic Data and Information Exchange (IODE)programme was established by the IOC in 1960 to (1) facilitate and promotethe exchange of oceanographic data and information; (2) develop standards,formats and methods for the global exchange of oceanographic data andinformation and (3) assist member states to acquire the necessary capacityto manage oceanographic data and information and become partners in theIODE network. More than 60 centres have been established; these includeDesignated National Agencies (DNAs), National Oceanographic Data andInformation Centers (NODCs), Responsible National Oceanographic DataCenters (RNODCs) and World Data CentersOceanography (WDCs).
IOGOOS I [125258–125445]Since it was agreed that the ODIN strategy should benefit the entire region,the workshop therefore recommended the development of an ODIN projectfor IOCINDIO, complementing ODINAFRICA.
320 Appendix B
IOGOOS I [145286–145781]Conference had created a good spirit of cooperation, thanks to the hard workof the last 2 years, and a good basis for future work. In particular, he con-firmed the continuing support of the Government of India in the developmentof IOGOOS, not least through its hosting of the IOGOOS Secretariat atthe Indian National Centre for Ocean Information Services (INCOIS), inHyderabad, for a period of 6 years beginning 7 November 2002. The costof running the Secretariat will be met by INCOIS.
IOGOOS I [149386–149702]The organisation of a joint Ocean Dynamics and Climate and Coastal OceanObservation Workshop to develop a sound overall coordination of IOGOOSprojects (possibly in May 2003). The nomination of a project coordina-tor to ensure effective follow-up. The creation of an IOGOOS bulletin.Improvement of the IOGOOS website.
IOGOOS I [151819–152008]He also called on the countries represented in the alliance to establishnational IOGOOS committees with a view to developing the appropriatenational activities in support of the alliance.
IOGOOS I [170050–170434]These challenges will require an array of new knowledge and technologiesto erect a shield of protection, biological, physical, environmental and strate-gic, in order to ensure our sustainable development. At the same time, thesechallenges will require an institutional response by governments and agen-cies and by society at large on the way we do business, with new ways ofthinking and new ideas.
IOGOOS I [185268–186490]There are several aspects to this challenge. The first one is institutional devel-opment. Member states, and the IOC, need to prepare themselves to meet theneeds posed by the development of GOOS. The financing of ocean researchhas allowed the building of much of what we have today, especially the trialscaled-up runs of prototype systems. However, the financing of the fullyoperational GOOS cannot depend exclusively on the funding for science.Since no other known source is visible on the horizon, waiting to fill thegap, this shifting of the sources of funding is perceived as a huge menaceto the stability of ongoing international research efforts. The second chal-lenge refers to the use of the data and information generated by operationaloceanographic services. Effective use requires the organisation of sophisti-cated systems for processing, modelling and distributing the information. Itis not just a matter of securing access to the data, important as this aspectis. It is necessary to establish a highly technical and dedicated organisationwith the mission of using the data, and producing and distributing final prod-ucts. These organisations exist today, both in the public and in the privatesector.
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IOGOOS II [25443–26242]With respect to structure and coordination, the Hyderabad Workshop con-cluded that at the national level, a mix of distributed as well as centralisedmechanism is to be adopted. Each country needs to have a focal point fordata management and the NODC could take up this responsibility. Countrieswithout an NODC should be encouraged to establish such a facility. It isnecessary to have a coordination mechanism for data and information man-agement at the regional level as well. An IOGOOS data and informationmanagement working group is to be set up with national contact points andexperts as members. The need for a regional data archive for the Indian Oceanwas discussed and it was decided this should be agreed upon during the firstmeeting of the data and information management working group.
IOGOOS II [41514–41868]This project will be a multi-scale operation involving, first, large-scaleremote sensing over wide areas; second, detailed remote sensing in particularareas of interest and third, community-based or participatory monitoring insitu at selected sites. Measurements at all three levels of monitoring will berepeated on a regular basis over time.
IOGOOS II [50943–51366]The project has many requirements related to capacity building in process-ing and interpreting remotely sensed data. It was also recognised that thecreation of a clearinghouse for all available data on the winds and waves inthe Indian Ocean whether from satellites or global models would be a veryuseful step in stimulating work throughout the region in linking observedshoreline changes to the ocean climate.
IOGOOS II [63171–63454]IOGOOS is working within the framework of the GOOS Coastal Panel andtaking responsibility in collaboration with that panel in the implementationof initiatives within the region, including contributions to the measurementof key common variables and testing of common methodologies.
IOGOOS II [64793–65258]The IOGOOS II meeting noted that the Secretariat at INCOIS, Hyderabadhas been energetic, competent and proactive in supporting the activities ofIOGOOS, in cooperation with the IOC Perth Office. With the support ofthe Department of Ocean Development, India, the Secretariat, has grownsignificantly supporting various activities such as data management. TheSecretariat has developed an informative website that is providing effectivecommunication for the region.
IOGOOS-III [51955–52210]The strategic approach has been endorsed and we are planning to establish asecretariat over the coming months, probably in the National Oceans Office.The Indian Ocean region is a major focus of this plan and it will be stronglyguided by the IOP Panel.
322 Appendix B
Operationalisation (OPSTA)
IOGOOS I [32607–32724]An operational observing system for the marine environment is a new con-cept for oceanographers and marine ecologists, in which the provision ofdata and data-products is sustained and routine in forms and at rates that arespecified by the users.
IOGOOS I [32801–32929]
IOGOOS I [32968–33421]It requires a managed and efficient flow of data and information amongthree essential subsystems: (1) an analysis and modelling subsystem, the datarequirements of which guide the development of, (2) an integrated data com-munications and management subsystem for serving data of known qualityin real-time or delayed mode as needed and (3) an observing subsystem formonitoring the required variables on specified time-space scales, precisionand accuracy.
IOGOOS I [101218–101506]For applicability at the regional level, the global products will have to bedownscaled for practical applications (e.g. agriculture, fisheries). Specificoceanic features such as fronts, upwelling zones or the resolution of sea stateand currents may need to be enhanced in the products.
IOGOOS I [105754–105946]A phased approach, beginning with assessment and a shoreline monitoringsystem; incorporation of local funding; then development of analytical andmodelling capability as data become available.
IOGOOS I [110455–112089]Establishment of marine-protected areas (MPAs) to act as control areas(unlikely to experience significant impacts of human activities) with whichto compare other areas that receive significant human impacts; establishmentof reference stations, which would have a use similar to that of MPAs, but,in addition, may be selected so as to represent areas that are least likelyto experience natural disasters. In addition, sentinel sites carefully chosenin order to quickly detect change and allow rapid planning of appropri-ate mitigation measures. Identification and management of the drivers ofecosystem degradation (i.e. human activities and natural phenomena). Forcoral reefs: The relevant human activities are destructive fishing, overfish-ing, coral mining, nutrient and chemical water pollution, boat transport andanchoring, and land-based activities that cause sedimentation. The relevantnatural phenomena are coral bleaching (possibly due to climate change),outbreaks of the crown-of-thorns starfish, and storms and cyclones. Formangroves: The relevant human activities are harvesting of mangroves forfuel, building poles and boat-making, clear-cutting of mangrove forests forconstruction of houses and roads, aquaculture, agriculture and salt-making.The relevant natural phenomena are sea-level rise, storms and cyclones,
Appendix B 323
and floods. For seagrass beds: The relevant human activities are destruc-tive fishing practices (drag nets, trawling); movement of boats and people;and land-based activities that cause sedimentation. The relevant natural phe-nomena are cyclones, storms and excessive rainfall that causes increasedsedimentation.
IOGOOS I [119888–121052]Gary Meyers noted that the data and data products required for the OceanDynamics and Climate pilot projects are composed of two streams: (1) large-scale data products and analyses on a global scale (e.g. climate prediction,ocean state, weather products, wave products); and (2) local scale. The dataand data products on the local scale are lacking and will require specialefforts in the region to develop them. There may also be some problems ofdownscaling data products from the large scale to the local scale, but “exter-nal” sources (e.g. Global GOOS) could be combined with “local sources”(e.g. IOGOOS), if downscaling problems can be overcome. Tom Malonepointed out that coastal data is nearly always “local”. In general, the diversityof data required for the proposed IOGOOS pilot projects is huge and variesfrom country to country. In addition, very few data-management systems areavailable in the region to deal with these data. The challenges will thereforebe substantial, but so will be the benefits if the necessary systems can beput in place. A clearing-house mechanism will be necessary to assemble andmake available the relevant data.
IOGOOS I [121247–121882]Mervyn Lynch informed the workshop that there is limited experience inthe remote-sensing community concerned with the IOGOOS programme.Quite independently and to serve their own needs, the wider remote-sensingcommunity has established data centres, sets of data products, quality con-trol procedures and metadata-base management systems. However, there aresome areas of concern, such as the often onerous access to such data, theneed for validation of remote-sensing data with field data and their properintegration, product consistency across laboratories for the same sensor, orproduct consistency between different/new sensors.
IOGOOS I [122575–122899]Peter Pissierssens thought that independent local data management was still along way off, but ODINAFRICA data centres could help in the Indian Ocean;so could POGO and INCOIS. The current weakness of the IODE data-centresystem was the still relative separation of the data management communityfrom the wider user community.
IOGOOS I [123455–123899]It recommended that IOC undertake a survey to identify and document indetail all existing ocean data and management facilities in the region. Thiswill enable the identification of suitable data and information-managementpartners able to handle all relevant data types and develop the required dataproducts and services. Particular attention should be given to whether thesecentres are covering or can cover all data types relevant to IOGOOS.
324 Appendix B
IOGOOS I [126643–127143]About a dozen satellites covering the Indian Ocean are now operating.Regarding the application of satellite remote sensing in the region, it appearsnecessary to stimulate regional interest and to identify problems whose solu-tion would be facilitated by satellite remote sensing, and to set priorities. Asa first step, it would be useful to construct inventories of experts, of interests,and of existing infrastructure. Training workshops and demonstration pilotprojects would help in this sense.
IOGOOS I [127144–127310]The likely problems lie predominantly in the data acquisition, managementand archiving, in the exploitation of the data and the development of usefuldata products.
IOGOOS I [128336–128567]There are still some credibility gaps with respect to satellite remote sensing,and capabilities vary from nation to nation. So capacity-building and trainingare needed, preceded, however, by an assessment of training facilities.
IOGOOS I [128697–128775]The majority of the relevant data come from the SeaWiFS and are held atNASA.
IOGOOS I [129364–129418]SeaWiFS and OCM satellites carry ocean-colour scanners;
IOGOOS I [129986–130109]Although the coral reefs and mangroves are being monitored, it is not easyto show changes in mangrove species composition.
IOGOOS I [130688–130856]It is clearly very important to ensure that the data products are useful andmade available at the right levels: societal, national, and of internationalorganisations.
IOGOOS I [132752–133566]Regarding data exchange, some of the problems are technical. The hardwareand software needs of users need to be determined. Duplication (in dataacquisition, processing and so on) must be avoided and made unnecessaryby full and free access by all participants in IOGOOS pilot projects to alldata in relevant data sources. The needs of the Ocean Dynamics and Climatepilot projects are reasonably well met, now, but those in Coastal OceanObserving are more difficult to meet, because the algorithms are more com-plex, and compliance with standards and protocols for measurements and fordata products is more difficult to achieve. The priority for the coastal pilotprojects is the detection of environmental change (mitigation/degradation),and for this it is necessary to concentrate on quality control of the data.
IOGOOS I [133567–134336]There are also some pragmatic questions, particularly regarding costs andtitle to data or data products, to be resolved. High spatial- and spectral-resolution data may be necessary for some purposes but are costly, so hardchoices often have to be made. Planned actions are to prepare the following:
Appendix B 325
a resource directory of satellites and their data products—descriptors, accu-racy, spatial and temporal resolution, availability (real time, delayed time);an inventory of research and capacity-building centres; and a list of specificneeds for capacity-building with respect to scatterometry, altimetry, inshorecurrents, sea-surface temperature and ocean fronts, and the oceanic watercolumn (chlorophyll a, suspended sediments, dissolved organic compounds,light attenuation and so on).
IOGOOS I [154215–154633]Work on these priority issues will be enabled through four inter-relatedtechnical activities: (1) improving the African Network of In Situ OceanMeasurements and Observation Validation, with particular emphasis on theSea-Level Network; (2) improving access to remote-sensing technology andinformation; (3) (insuring) validation and forecasting modelling; and (4)developing of an enduser interactive information delivery system.
IOGOOS I [164383–164925]The conference had made it clear that there are products and applications thatcan be delivered to the users in this region, but some things are still needed:pilot projects to pave the way for operational systems; capacity-building indata collection, modelling, and applications; building awareness of GOOSand securing funds for the work; plans for implementation of ocean and cli-mate, and coastal-ocean observing systems; improved use of satellites forIOGOOS applications and better communication links and infrastructure inthe region.
IOGOOS I [172740–173070]The existing multilateral frameworks should however be revitalised to ensurethat they develop and implement specific initiatives, such as funding mecha-nisms to facilitate international scientific collaboration between countries.Joint research projects and information-sharing networks should be othercomponents of their output.
IOGOOS I [186524–186692]Is this a development that each member state of the IOC wishes to face inde-pendently, or would it be a possible “joint” effort within IOC, organised at aregional scale.
IOGOOS I [186953–187274]The third challenge is economic in nature. Global observations constitute avery particular case of all the observations that can be made. The main featureis the very large scale at which they are collected. At the upper limit, GOOSwill be sampling the properties of a single system: the ocean. The samplesize is one.
IOGOOS I [187431–187790]In theory, full forecasting capabilities would be available only if all scaleswere properly sampled. This is a huge technical requirement. Conceptuallythis is not a minor detail. In GOOS, what is a local observation made onthe east coast of Africa becomes a “remote and distant” observation for aforecast in the Bay of Bengal, for example, and vice versa.
326 Appendix B
IOGOOS II [17553–17947]IOP members have undertaken drafting of an implementation plan based onan outline plan prepared by the chair, with initial input due in May, and com-pletion of the first draft in early 2005. A key aspect of preparing this plan isto develop a high degree of consensus among all the agencies that can con-tribute. This is essential to achieving a high degree of coordination in theimplementation.
IOGOOS II [20682–21112]A capability for downscaling the basin scale observations to the smallerscales of interest at the coasts needs to be addressed and founded on atwo-way flow of information and plans between developers of the climatecomponent and users of marine information in the coastal environment. Withthis challenge in mind, IOP will open a discussion with GODAE to identifyhow products can be made available to IOGOOS users.
IOGOOS II [23992–24051]Coastal and climate GOOS require data at different scales.
IOGOOS II [26788–27169]The objectives to be met during the medium term are as follows: (1) assistmembers to develop the necessary national capacity to participate fully inIOGOOS (ODIN+, modelling and data assimilation, satellite oceanogra-phy); (2) start data collection, management and service/product developmentthrough relevant pilot projects and (3) provide services to all IOGOOSmembers for public use.
IOGOOS II [38072–38463]Substantial discussion at the Sri Lankan meeting was devoted to the poten-tial and feasibility of the use of remote sensing techniques in monitoringof environmental parameters of possible significance to prawn populationdynamics. This technique was also mooted as being of potential significanceto the other two coastal IOGOOS pilot projects on costal biodiversity andshoreline dynamics.
IOGOOS II [41514–41867]This project will be a multi-scale operation involving, first, large-scaleremote sensing over wide areas; second, detailed remote sensing in particularareas of interest; and third, community-based or participatory monitoring insitu at selected sites. Measurements at all three levels of monitoring will berepeated on a regular basis over time.
IOGOOS II [41906–42375]Data from all levels of monitoring will be fed into GIS databases and pro-cessed to obtain a number of valuable outputs, including maps, baselineinformation, detection of change over time and predictions about futurechanges. Interpretation of these outputs will result in outputs at a higher levelsuch as recommendations for management and/or further research, as wellas information that can be used to increase environmental awareness of therespective communities.
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IOGOOS II [43278–44023]Progress during the IOGOOS Workshop at Colombo, April 26–29 2004: It isgratifying that significant progress was made during the workshop in termsof valuable input by additional countries, new commitments to undertake theproject, recruitment of individuals and exchange of information. The maininputs/changes in the proposal as a result of this workshop included a newtitle, so that it mentions the purpose of the project as being to facilitate sus-tainable management; improvements in methodologies on remote sensing,identification of possible sources of funding, the necessity of linking datafrom the climate community, particularly, temperature, salinity, turbidity, sealevel and so on, which all affect ecosystem health and area coverage.
IOGOOS II [48782–49299]Two types of remotely sensed data will be required for this project. The firsttype is high resolution data on shoreline change while the second is lower res-olution data on wind and waves. The second category can be supplementedby the output of global climate models, particularly for the case of wind data.It was noted that wave and wind statistics compiled from such sources arealready available commercially for the region. Local measurements of wavesand wind are needed to validate the hydrodynamic models.
IOGOOS II [52845–53467]The actual project would have duration of 5–7 years. It is expected thatthe first year of project implementation would involve the final selection ofsites, training of personnel involved in monitoring, quality control and datamanagement, and setting up a regional data sharing network. Monitoringwould begin late in the first year and products would be available by theend of the second year. Acquiring and interpreting remotely sensed data onshoreline change would also begin in the first year while development ofa capability to predict shoreline change would begin in the second or thirdyear.
IOGOOS II [61176–61338]The second annual meeting (IOGOOS II) held at Colombo during April26–29, 2004 agreed on a detailed action plan and on the implementation ofseveral initiatives.
IOGOOS-III [3248–3925]Dr. Radhakrishnan, chairman of IOGOOS, recalled the evolution and growthof IOGOOS since its formal launch at Mauritius in November 2002, andacknowledged the contributions made by several individuals and institu-tions to bring it up as one of the best GOOS regional alliances (GRA)with 19 members from 12 countries in the region and 2 associate members.He informed in the meeting that the IOP had made excellent progress inpreparing a draft implementation plan for ocean observations in the IndianOcean for climate. He stressed that the coastal GOOS pilot projects mustbe evolved into concrete proposals in conformance with the IOC’s CoastalGOOS implementation plan.
328 Appendix B
IOGOOS-III [22379–22983]Dr. Radhakrishnan briefly described the importance of remote sensing andindicated that the United States, Europe and India have major remote sensingprogrammes that cover the Indian Ocean. He gave an example of fisheries asa case where remote sensing data is being used for an operational purpose.Remote sensing data could also be used to provide inputs for coastal land use,shoreline changes and so on. He suggested that the IOGOOS website shouldhave a page on remote sensing data availability, tools and so on. He gavean overview of the training programme offered by CSSTE-AP and IndianInstitute of Remote Sensing.
IOGOOS-III [33786–34231]The foundation of the website for this project has been constructed with anemphasis on graphics and user friendliness as it is intended to be accessed asa general source of information and used not only by researchers in the field.It is expected, pending adequate funding, that the bulk of the website detailswill be completed by the end of 2005 and the site hosted by the IOGOOSsecretariat by mid-2006 in advance of the IOGOOS IV meeting.
IOGOOS-III [41034–41485]The Panel has met face-to-face twice (Pune, India, 2004; Hobart, Australia,2005), but works primarily between sessions by e-mail and Internet.The panel’s plan for IOGOOS is reported on the website of theInternational CLIVAR Project Office at http://www.clivar.org/organization/indian/IOOS/obs.html. The panel has published a report entitled, “The Roleof the Indian Ocean in the Climate System—an implementation plan forsustained observations”.
IOGOOS-III [45571–46030]Dr. Gary Meyers presented an overview of the design for an Indian OceanObserving System. It is integrated in the sense (1) that it makes use of all theavailable types of instrumentation that can be deployed in the ocean for longperiods of time; (2) it provides data for a wide range of parameters relevantto the physical and biological state of the ocean; and (3) it observes all therelevant time-scales of variability from intra-seasonal to multi-decadal.
IOGOOS-III [49569–49846]The major issues that have to be resolved to fully establish the mooring arrayinclude ship time (180 days per year), fishing vandalism, operational fund-ing, international coordination, system integration (e.g. commonalities withmulti-hazard warning system) and data management.
IOGOOS-III [51955–52210]The strategic approach has been endorsed and we are planning to establish asecretariat over the coming months, probably in the National Oceans Office.The Indian Ocean region is a major focus of this plan and it will be stronglyguided by the IOP Panel.
IOGOOS-III [54989–55285]One of the concerns is the way that the network will be implemented andsustained. It also has to cater to operational activities since just science
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objectives will not be sufficient to sustain funding. He noted that the GEOSSframework can provide new approaches for securing long-term funding.
IOGOOS-III [58828–59024]He commented that progress in the IOGOOS projects has not been as rapidas required and that the IOGOOS officers could be given the responsibilityof individual projects based on their expertise.
IOGOOS-III [61223–62674]Dr. K. Radhakrishnan, Chairman IOGOOS, elicited suggestions from theparticipants to improve the functioning of IOGOOS. IOGOOS has alreadyachieved some good progress in respect of the evolution of a design forbasin-scale observations. It has also embarked on coastal pilot projects thatare complex and would take some time to see the results. The recent tsunamidemanded serious attention of some of the IOGOOS functionaries for evolv-ing the tsunami early warning system and related capacity building for theIndian Ocean. The following suggestions were received from the partici-pants on how to further enhance the effectiveness of IOGOOS. There is aneed to collaborate on regional projects. Individual champions are needed totake ahead successful projects. Projects should be able to cut across nationalboundaries and countries should be sufficiently convinced that the projectis useful to them. Activities of IOGOOS, including the pilot projects andprogress, need to be made known at the national level. National GOOScoordinating committees should be formed that also include the governmentagencies that are involved in the pilot projects. IOGOOS probably needs tospend more time on delivering products and useful information through thewebsite, capacity building for modelling, tsunami, coastal inundation mod-elling and so on. It might be useful to have an IOGOOS workshop along withthe IGOOS meeting. IOGOOS needs to develop a user interface.
IOGOOS-IV [23582–25015]Dr. Meyers presented an overview of the implementation plan for sustainedobservations for climate research and operational prediction. The mooringarray is composed of 44 moorings to observe weather and upper oceanparameters and three moorings to observe the deep equatorial currents. Therationale for the array was discussed. At the present time, the three deepmoorings and nine of the surface moorings are active, located near 80◦ and90◦E. An additional three moorings are scheduled for implementation in late2006/early 2007, including one in the western Indian Ocean. Implementationof a mooring south of Java is under discussion. Challenges in implement-ing the full array are vandalism by fishers and commitment of ship time.Maintenance of the full array will require about 142 days of ship time peryear. About 400 Argo floats are now active in the Indian Ocean out of 480required for full implementation. Floats to complete the array are available,but ships to take them to the void locations are lacking. Implementation of allthe XBT lines is on track except IX10 (lacking a principal investigator) andIX08 (lacking useful shipping.) The XBT line IX07 was dropped because it isredundant and not as effective as IX08 for monitoring inflow to the western
330 Appendix B
boundary current system. NOAA and NIO are working together to imple-ment IX08. Dr. Meyers reported progress (though limited) in coordinatingIOP activity with IOTWS.
IOGOOS-IV [29445–30125]The participants identified three possible projects that address these ques-tions: (1) Easy access/small data sets: Goal—provide the ocean re-analysisand/or climate prediction data required for two or three specific projects inan archive and format that will be user-friendly. The data will be targetedspecifically for IOGOOS members/associates. Actions: IOGOOS Secretariatannounces opportunity and call for proposals. IOGOOS chairman, IOP chairand possibly a panel select the projects, taking account of common needfor data. Chair of ODIN-INCINDIO responsible for assembly of data set.Resources: US $300,000–$400,000 for data assembly. Projects to be fundedby national resources.
IOGOOS-IV [31595–31807]IOGOOS needs to develop a strategy to maximise IOGOOS mem-bers/associates participation in IOC training programmes. IOGOOS needsto develop a strategy to convert regional research projects to operationalactivity.
IOGOOS-IV [31927–32185]For the ecosystem project, it was suggested that perhaps we should start smalland set up a pilot project. While beginning with a pilot test, the project shouldremain as an integrated whole. Suggested that India and Tanzania could startwith pilot testing.
IOGOOS-IV [35475–36058]Coastal Erosion and Prawn Pilot Projects. The coordinators of these projectsdid not turn up for the meeting. It was also noted that there was no progressin the activities identified in the previous annual meetings. Considering this,the meeting decided that these projects are to be abandoned unless other sci-entists have the interest in taking over and coordinating them. As such, theaction decided was for the IOGOOS Secretariat to contact the project coor-dinators and determine new leaders or termination of the project. Completeaction by February 2007, and report to membership.
IOGOOS-IV [41293–41611]The meeting suggested that an audit could be coordinated from IOGOOSas a basis for a more targeted activity in the future. This audit could covernational programmes in coastal monitoring, in situ and remote sensing activ-ities, data products, modelling and prediction activities, data and informationmanagement and so on.
Process of Regime Formation (PROREGFOR)
IOGOOS I [10745–10975]International conventions, such as the UN Framework Convention onClimate Change and the Convention on Biodiversity, and the economic
Appendix B 331
challenges and social commitments have mandated countries to implementocean observing systems.
IOGOOS I [53868–53945]The strategy will take advantage of existing observing systems and facilities.
IOGOOS I [54186–54236]It will also take advantage of some pilot projects.
IOGOOS I [54743–54808]The strategy will take advantage of some pre-operational projects.
IOGOOS I [55303–55474]For data management, the strategy will take advantage of the followingprojects that are part of the IOC’s International Oceanographic Data andInformation Exchange (IODE).
IOGOOS I [55788–55915]The strategy will be based on the following operational satellites providingcurrent oceanographic data for the Indian Ocean.
IOGOOS-III [69226–69580]The members noted the efforts put in by IOGOOS Members & IOGOOSSecretariat over the last 2 years for the GRAND Project. After detailedassessment of its utility vis-à-vis the efforts put in, it was considered appro-priate to withdraw from the GRAND Project. On behalf of IOGOOS,the chairman was authorised to communicate the same to the GRANDSecretariat.
Imposition (IMPOS)
IOGOOS I [10745–10974]International conventions, such as the UN Framework Convention onClimate Change and the Convention on Biodiversity, and the economicchallenges and social commitments have mandated countries to implementocean-observing systems.
IOGOOS I [13222–13514]Through the Conference, the Intergovernmental Oceanographic Commission(of UNESCO) and its UN and regional partners are now one step closer toestablishing a fully operational Global Ocean Observing System in the IndianOcean with the collaboration of the countries of the Indian Ocean region.
IOGOOS I [33421–33531]Under the oversight of the GOOS sponsors (IOC, UNEP, WMO, ICSU,FAO), the observing system is being organised.
IOGOOS I [34064–34356]The GOOS movement is an attempt to more effectively link and enhanceexisting programmes for more cost-effective use of existing knowledge,infrastructure and expertise; and more rapid detection and timely predic-tion of environmental changes and events in coastal marine and estuarinesystems.
332 Appendix B
IOGOOS I [34676–34979]The observing system is envisioned as a network of national, regional andglobal systems that rapidly and systematically acquire and disseminate dataand data products to serve the needs of many user groups, including gov-ernment agencies, private enterprise, scientists, educators, NGOs and thepublic.
IOGOOS I [36809–36931]The fact that the phenomena of interest are globally ubiquitous and tend tobe local expressions of larger-scale forcings.
IOGOOS I [140844–140950]It was agreed that GOOS principles apply to all GOOS activities, includingdata acquisition and exchange.
IOGOOS I [188373–188857]Simply look at Europe and the United States to see how much they are invest-ing in GOOS to benefit their own regions. The IOC and its UN partners, theWorld Meteorological Organization and the UN Environment Programme,as well as the International Council of Science (ICSU), will continue to sup-port the development process, but the implementation phase requires yourcountries’ support. This begins with signing the IOGOOS Memorandum ofUnderstanding to become a contributing member.
IOGOOS II [4813–5273]In his opening remarks, Dr. K. Radhakrishnan, Chairman IOGOOS and ViceChairman IOC, stated that the Global Ocean Observing System (GOOS)envisages (1) an internationally accepted global design to address the broadrealms of oceans and climate and coastal ocean, (2) a set of regional alliancesof countries that will focus on issues of common concerns and interests of theregion and (3) national contributions for implementation of the observationalsystems.
IOGOOS II [15157–15436]GOOS (through Indian Ocean GOOS and the Perth Office of the IOC)and CLIVAR have established the Indian Ocean Panel initially charged todevelop, coordinate and implement a plan for sustained ocean observationsof the Indian Ocean for climate research and ocean state estimation.
IOGOOS-III [69226–69580]The members noted the efforts put in by IOGOOS members and IOGOOSSecretariat over the last 2 years for the GRAND Project. After detailedassessment of its utility vis-à-vis the efforts put in, it was considered appro-priate to withdraw from the GRAND Project. On behalf of IOGOOS,the Chairman was authorised to communicate the same to the GRANDSecretariat.
Appendix B 333
Negotiation (NEGOT)
IOGOOS I [44694–44792]Implementing the coastal module in the Indian Ocean will require partneringamong regional bodies.
IOGOOS I [45823–45920]In addition, the development of IOGOOS should involve collaboration withGOOS-AFRICA and SEAGOOS.
IOGOOS I [94609–94707]However, the working group could not finalise the large-scale, open-oceanmoored-buoy array design.
Self-Generation (SELFG)
IOGOOS II [27169–27529]The long-term objectives identified are as follows: (1) empower ALL mem-bers to generate/share and disseminate products and services by themselvesusing data from national and regional sources; (2) develop user-oriented anduser friendly ocean services system accessible by all and (3) ensure long-termsustainability of the national and regional IOGOOS facilities.
Appendix CIntra-Indian Ocean Trade (in USD Millions)2001 to 2007
Value of Intra-Indian Ocean trade (in USD millions) 2001–2007
Country 2001 2002 2003 2004 2005 2006 2007
Australia 13765.43 13745.94 14678.40 19639.35 22844.84 26771.79 30658.66
Bahrain 1395.69 1303.89
Bangladesh 293.14 253.21
Comoros 6.97 3.90
Djibouti 181.68 194.39
Egypt 1023.17 1043.92
Eritrea
Ethiopia 181.85 144.80 198.17 139.17 216.93 249.96 310.27
India 10340.82 14060.55
Indonesia 14058.83 14867.46
Iran 3302.33 2811.17
Iraq 836.12 936.56
Israel 2312.70 2199.10
Jordan 1362.67 1515.65
Kenya 679.42 672.79
Kuwait 4170.44 4004.61
Madagascar 145.28 53.46
Malaysia 26745.48 29446.26
Maldives 27.28 31.02
Mauritius 140.96 139.62
Mozambique 117.41 137.53
Myanmar 1159.56 1394.46
Oman 4068.61 4281.10
Pakistan 2119.22 2479.92
Qatar 1990.03 2675.74
Saudi Arabia 16967.82 15438.86
Seychelles 6.30 4.65
Singapore 37212.35 38518.44 112861.75
Somalia 64.03 96.89
South Africa 3902.74 3828.83
Sri Lanka 658.33 723.06
Sudan 185.30 286.06
Tanzania 180.16 183.29
Thailand 14632.19 15845.57
United Arab Emirates 11279.00 11683.01
Yemen 2082.32 1960.21
Grand Total 177595.59 186965.88 231103.31 295108.25 362762.09 439731.36 504614.15
1501.84
299.90
2.86
236.76
1425.64
18815.51
15789.48
3626.07
410.86
2408.50
1438.18
710.93
4653.16
105.12
33110.96
43.31
210.91
187.22
1414.28
3851.07
3104.54
2692.11
19360.11
2.63
58212.30
133.39
4923.72
871.44
954.49
225.51
19314.88
14437.25
1751.82
2152.50
320.70
6.35
240.76
2087.11
24673.45
18741.20
5523.12
396.70
2972.30
1743.61
838.06
6891.30
80.97
41081.31
51.00
232.11
251.77
1853.45
3679.24
2972.71
4734.94
26278.18
19.95
71801.85
169.75
6243.40
1041.72
533.11
311.04
24860.35
20114.52
2431.23
3432.79
624.07
4.83
325.70
3539.94
2790.67
456.12
6.09
263.46
3021.64
31805.77
23268.59
6623.60
293.96
3224.90
2064.49
885.93
8966.37
60.62
48173.94
45.97
372.47
335.11
2416.74
5729.56
3713.96
5496.96
35081.82
27.33
85631.90
234.49
7979.52
1314.69
501.04
329.77
29271.89
27044.67
2266.31
37358.50
33693.21
8334.54
651.27
3340.40
2375.53
1055.37
10757.72
65.89
54600.08
84.21
472.65
436.86
3023.00
8677.87
4297.45
8405.48
44588.60
43.62
99958.05
281.18
7802.70
1511.46
621.69
403.37
33760.34
35139.37
3041.88
4002.48
706.86
5.77
406.65
4318.39
47144.02
37951.49
8766.39
429.03
4086.40
2744.19
1307.89
12702.65
81.73
60965.60
80.26
601.21
425.37
3183.16
7383.94
5370.15
10637.28
48347.31
58.08
356.20
9669.33
1889.44
560.96
481.90
41707.99
40530.78
3880.59
Source: Developed from International Monetary Fund Direction of Trade online
335
336 Appendix C
Value of exports to the world (in USD millions) 2001–2007Country 2001 2002 2003 2004 2005 2006 2007
Australia 63399.30 65221.20 70900.20 86161.80 105055.00 121827.00 141350.00Bahrain 8254.80 8455.21 10354.40 13592.50 15943.40 19793.00 24023.10Bangladesh 5735.61 5443.26 6229.39 7585.60 8494.40 12740.20 13909.70Comoros 37.50 28.47 32.96 34.51 24.09 31.94 30.53Djibouti 236.27 202.28 247.11 252.31 274.49 340.22 422.66Egypt 4140.41 7048.54 8499.16 12187.10 15593.00 20704.40 23229.40Eritrea
Ethiopia 285.93 421.46 467.86 570.37 781.89 1085.64 1207.21India 45512.70 50496.30 61118.50 75385.20 97918.10 123032.00 151932.00Indonesia 56317.70 57154.30 61012.60 71550.20 85622.60 113601.00 129428.00Iran 24336.90 22176.20 31782.30 40997.50 55402.80 70594.10 81865.40Iraq 11064.50 9133.97 8140.66 16119.10 17656.70 23863.40 27271.90Israel 29046.00 29512.10 31291.20 38519.80 42513.60 46448.50 54048.50Jordan 2291.50 2769.49 3081.12 3530.40 4300.60 5203.56 5534.00Kenya 1872.57 2143.97 2403.73 2702.77 3544.70 4107.56 4846.27Kuwait 16155.10 15525.80 18746.10 25520.10 35190.80 42220.30 47312.50Madagascar 673.89 494.69 848.13 1253.25 1004.83 1071.49 1221.68Malaysia 88201.00 93386.60104968.00 126509.00 140977.00 160664.00 176207.00Maldives 76.57 90.71 112.71 122.83 98.72 167.15 170.35Mauritius 1524.91 1746.41 1807.97 1914.13 2000.19 2177.47 2256.65Mozambique 703.70 682.02 1043.91 1503.86 1745.26 2381.13 2764.24Myanmar 2625.44 2753.15 2767.95 3158.84 3702.15 4377.99 4786.62Oman 10681.10 11126.70 10361.70 12725.60 17419.40 23665.50 24760.80Pakistan 9211.43 9880.35 11928.00 13284.20 16046.00 17183.00 19626.80Qatar 10868.50 10976.50 13380.10 18545.80 18001.00 25090.40 30767.60Saudi Arabia 68831.90 66140.40 86547.20 112687.00 156967.00 189418.00 200491.00Seychelles 152.44 174.80 213.86 367.93 416.74 350.34 339.14Singapore 121826.00 125219.00160073.00 198694.00 229447.00 272057.00 299173.00Somalia 77.20 112.95 150.50 190.09 250.63 301.21 380.15South Africa 29510.30 29898.70 36353.30 45554.80 51561.60 52439.00 63484.30Sri Lanka 4722.42 4678.38 5133.30 5757.23 6383.65 7494.75 8522.03Sudan 1699.87 1941.58 2609.37 3773.70 4821.78 5699.26 8703.83Tanzania 774.44 948.64 934.14 1220.71 1474.42 1572.38 1827.32Thailand 65113.20 68849.80 80318.20 96213.90 110158.00 130555.00 152459.00United Arab Emirates 39878.70 39135.70 50096.20 66787.90 93172.80 111980.00 126705.00
Yemen 3370.17 3270.99 3724.01 4076.39 5606.29 6440.51 7171.40Grand Total 729209.97747240.61887678.831109050.421349570.631620678.401838229.08
Source: Developed from International Monetary Fund Direction of Trade onlineAll data is as generated from the IMF database. From the database the subsequenttotals of exports to developing countries and industrialised countries do not add upto world exports
Appendix C 337
Value of intra-Indian Ocean trade as percentage of world exports 2001–2007
Country 2001 2002 2003 2004 2005 2006 2007
Australia 21.71 21.08 20.70 22.79 21.75 21.98 21.69
Bahrain 16.91 15.42 14.50 15.84 17.50 17.34 16.66
Bangladesh 5.11 4.65 4.81 4.23 5.37 4.90 5.08
Comoros 18.59 13.70 8.68 18.40 25.26 15.13 18.89
Djibouti 76.89 96.10 95.81 95.42 95.98 95.73 96.21
Egypt 24.71 14.81 16.77 17.13 19.38 17.10 18.59
Eritrea
Ethiopia 63.60 34.36 42.36 24.40 27.74 23.02 25.70
India 22.72 27.84 30.79 32.73 32.48 30.36 31.03
Indonesia 24.96 26.01 25.88 26.19 27.18 29.66 29.32
Iran 13.57 12.68 11.41 13.47 11.96 11.81 10.71
Iraq 7.56 10.25 5.05 2.46 1.66 2.73 1.57
Israel 7.96 7.45 7.70 7.72 7.59 7.19 7.56
Jordan 59.47 54.73 46.68 49.39 48.00 45.65 49.59
Kenya 36.28 31.38 29.58 31.01 24.99 25.69 26.99
Kuwait 25.81 25.79 24.82 27.00 25.48 25.48 26.85
Madagascar 21.56 10.81 12.39 6.46 6.03 6.15 6.69
Malaysia 30.32 31.53 31.54 32.47 34.17 33.98 34.60
Maldives 35.63 34.20 38.43 41.52 46.56 50.38 47.11
Mauritius 9.24 7.99 11.67 12.13 18.62 21.71 26.64
Mozambique 16.69 20.17 17.93 16.74 19.20 18.35 15.39
Myanmar 44.17 50.65 51.09 58.68 65.28 69.05 66.50
Oman 38.09 38.48 37.17 28.91 32.89 36.67 29.82
Pakistan 23.01 25.10 26.03 22.38 23.15 25.01 27.36
Qatar 18.31 24.38 20.12 25.53 30.54 33.50 34.57
Saudi Arabia 24.65 23.34 22.37 23.32 22.35 23.54 24.11
Seychelles 4.13 2.66 1.23 5.42 6.56 12.45 17.12
Singapore 30.55 30.76 36.37 36.14 37.32 36.74 37.72
Somalia 82.94 85.78 88.63 89.30 93.56 93.35 93.70
South Africa 13.23 12.81 13.54 13.71 15.48 14.88 15.23
Sri Lanka 13.94 15.46 16.98 18.09 20.59 20.17 22.17
Sudan 10.90 14.73 36.58 14.13 10.39 10.91 6.45
Tanzania 23.26 19.32 24.14 25.48 22.37 25.65 26.37
Thailand 22.47 23.01 24.05 25.84 26.57 25.86 27.36
United Arab Emirates 28.28 29.85 28.82 30.12 29.03 31.38 31.99
Yemen 61.79 59.93 47.04 59.64 40.42 47.23 54.11
Source: Compiled by author
338 Appendix C
Value of exports to developing countries (in USD millions) 2001–2007
Country 2001 2002 2003 2004 2005 2006 2007
Australia 31052.40 31952.70 34141.50 43919 .50 55503.20 65322.00 78762.30
Bahrain 1865.14 1779.36 2111.48 2860.92 3595.01 4364.55 5200.54
Bangladesh 542.67 528.82 557.13 652.68 850.38 1288.28 1522.64
Comoros 8.08 4.37 3.82 8.72 7.15 7.34 18.01
Djibouti 183.58 195.61 239.26 243.41 265.41 328.51 412.12
Egypt 1566.86 1929.57 2704.32 4389.43 5811.48 7063.00 8847.23
Eritrea
Ethiopia 185.77 165.04 223.73 201.44 322.77 563.74 623.74
India 20042.70 24647.40 32229.20 41891.20 55035.20 69418.50 89578.40
Indonesia 25141.20 26974.20 29503 .70 35311.10 44509.10 60536.00 70591.20
Iran 10388.10 8829.13 12889.60 17590.10 24394.80 33609.40 40481.70
Iraq 1847.71 2466.10 1185.31 2979.76 3452.83 4454.23 5350.74
Israel 7011.40 6947.80 7307.70 9986.80 10986.40 12499.80 14783.80
Jordan 1657.86 1865.31 1885.28 2224.26 2677.07 3037.27 3508.79
Kenya 1280.87 1371.00 1484.59 1716.11 1900.94 2302.01 2857.05
Kuwait 7955.95 8101.11 10172.00 14477.90 20068.80 24989.10 28994.60
Madagascar 166.64 69.66 130.61 112.53 98.10 109.51 134.91
Malaysia 43354.50 49191.30 56594.00 69322.80 77872.00 89920.50 103119.00
Maldives 30.90 32.96 46.71 51.97 51.16 96.21 94.69
Mauritius 161.67 203.79 251.73 272.96 445.10 588.29 745.89
Mozambique 174.88 201.07 290.87 383.24 486.05 611.67 801.62
Myanmar 1589.14 1871.79 1910 .29 2417.85 3127.54 3735.71 4075.45
Oman 7768.98 8236.61 8057.62 10321.00 13786.20 19686.70 20073.50
Pakistan 3937.62 4232.31 5274.29 5662.83 7295.64 9179.63 11235.80
Qatar 4591.34 4710.10 5733.21 8333.65 6641.03 9248.42 12120.60
Saudi Arabia 32516.30 30935.00 40523.90 55192.30 76425.50 95484.90 108315.00
Seychelles 9.58 5.16 5.65 45.61 49.34 61.87 86.74
Singapore 71793.40 75950.40 103115.00 129051.00 154418.00 185337.00 210445.00
Somalia 72.97 109.77 148.14 186.46 248.23 298.09 374.03
South Africa 8586.06 8634.65 11010.00 13995.50 16321.80 18375.80 24465.10
Sri Lanka 1148.93 1163.02 1375.98 1660.90 1954.25 2317.35 2898.37
Sudan 1219.31 1493.60 2159.60 3180.89 4024.98 2698.69 6745.42
Tanzania 247.52 343.79 505.75 667.72 869.39 978.14 1156.43
Thai land 28151.30 30907.20 38786.60 48448.20 58143.20 69787.20 85698.90
United Arab Emirates 18184.10 18426.70 23544.90 32115.80 43747.50 56315.00 65076.60
Yemen 2909.65 2980.54 3448.34 3723.43 4577.79 5481.92 6070.96
Grand Total 337345.06 357456.94 439551.81 563599.98 699963.34 860096.34 1015266.86
Source: Developed from International Monetary Fund Direction of Trade online
Appendix C 339
Value of intra-Indian Ocean trade as percentage of exports to developing countries 2001–2007
Country 2001 2002 2003 2004 2005 200 6 2007
Australia 44.33 43.02 42.99 44.72 41.16 40.98 38.93
Bahrain 74.83 73.28 71.13 75.24 77.63 78.65 76.96
Bangladesh 54.02 47.88 53.83 49.14 53.64 48.44 46.42
Comoros 86.25 89.27 74.82 72.82 85.15 65.79 32.04
Djibouti 98.97 99.37 98.95 98.91 99.26 99.15 98.67
Egypt 65.30 54.10 52.72 47.55 51.99 50.12 48.81
Eritrea
Ethiopia 97.89 87.73 88.58 69.09 67.21 44.34 49.74
India 51.59 57.05 58.38 58.90 57.79 53.82 52.63
Indonesia 55.92 55.12 53.52 53.07 52.28 55.66 53.76
Iran 31.79 31.84 28.13 31.40 27.15 24.80 21.66
Iraq 45.25 37.98 34.66 13.31 8.51 14.62 8.02
Israel 32.98 31.65 32.96 29.76 29.35 26.72 27.64
Jordan 82.19 81.25 76.28 78.39 77.12 78.21 78.21
Kenya 53.04 49.07 47.89 48.83 46.60 45.85 45.78
Kuwait 52.42 49.43 45.74 47.60 44.68 43.05 43.81
Madagascar 87.18 76.74 80.49 71.95 61.79 60.17 60.58
Malaysia 61.69 59.86 58.51 59.26 61.86 60.72 59.12
Maldives 88.30 94.11 92.72 98.12 89.85 87.52 84.76
Mauritius 87.19 68.51 83.78 85.04 83.68 80.34 80.60
Mozambique 67.14 68.40 64.36 65.69 68.94 71.42 53.06
Myanmar 72.97 74.50 74.03 76.66 77.27 80.92 78.11
Oman 52.37 51.98 47.79 35.65 41.56 44.08 36.78
Pakistan 53.82 58.59 58.86 52.50 50.91 46.82 47.80
Qatar 43.34 56.81 46.96 56.82 82.77 90.89 87.76
Saudi Arabia 52.18 49.91 77.47 47.61 45.90 46.70 44.64
Seychelles 65.76 90.09 46.59 43.73 55.39 70.51 66.96
Singapore 51.83 50.72 56.45 55.64 55.45 53.93 53.63
Somalia 87.76 88.27 90.04 91.04 94.47 94.33 95.23
South Africa 45.45 44.34 44.72 44.61 48.89 42.46 39.52
Sri Lanka 57.30 62.17 63.33 62.72 67.27 65.22 65.19
Sudan 15.20 19.15 44.20 16.76 12.45 23.04 8.32
Tanzania 72.78 53.32 44.59 46.58 37.93 41.24 41.67
Thailand 51.98 51.27 49.80 51.31 50.34 48.38 48.67
United Arab Emirates 62.03 63.40 61.32 62.63 61.82 62.40 62.28
Yemen 71.57 65.77 50.80 65.30 49.51 55.49 63.92
Source: Compiled by author
340 Appendix C
Value of exports to industrialised countries (in USD millions) 2001–2007
Country 2001 2002 2003 2004 2005 2006 2007
Australia 30625.60 31846.20 35443.50 40574.90 47956.10 5469 3.10 60659.00
Bahrain 1102.00 937.30 979.78 1192.67 1449.36 1958.16 2105.93
Bangladesh 4273.74 4033.87 4688.50 5921.80 6354.97 9858.73 10409.90
Comoros 29.28 23.95 28.95 25.54 16.66 24.25 12.10
Djibouti 52.70 6.67 7.85 8.90 9.08 11.71 10.54
Egypt 1775.08 4252.42 4698.06 6357.22 8135.75 11607.30 11857.80
Eritrea
Ethiopia 100.10 254.91 242.80 362.62 455.42 517.33 577.79
India 23780.70 24960.40 28497.90 33054.40 42554.90 53208.60 61850.90
Indonesia 31101.30 30119.70 31486.80 36229.90 411 04.90 53053.80 58824.00
Iran 10305.90 9473.51 14196.70 17193.50 22555.40 26358.20 28564.00
Iraq 9216.83 6667.87 6955.36 13139.30 14203.90 19409.20 21921.20
Israel 20712.50 21094.00 22473.80 27031.10 30094.50 32811.70 37171.40
Jordan 350.34 686.66 974.99 1176.62 1289.53 1775.11 1502.95
Kenya 533.59 691.09 793.28 830.31 1465.12 1584.77 1715.22
Kuwait 8199.11 7424.73 8574.07 11042.20 15122.10 17231.20 18317.90
Madagascar 497.28 414.39 701.03 1119.07 881.99 931.41 1048.83
Malaysia 44806.70 44170.30 4833 9.10 57117.70 63031.10 70683.00 73002.30
Maldives 45.67 57.75 66.00 70.86 47.56 70.93 75.66
Mauritius 1363.15 1542.58 1550.90 1634.05 1554.45 1589.05 1510.60
Mozambique 487.11 431.41 681.83 1035.86 1172.41 1634.45 1795.08
Myanmar 1008.29 850.95 819.18 690.45 516.87 570.91 622.60
Oman 2912.11 2890.13 2304.07 2404.57 3633.28 3978.76 4687.31
Pakistan 5266.57 5643.85 6651.68 7613.81 8739.18 7989.51 8373.85
Qatar 6268.60 5741.63 6772.13 8802.02 11360.00 15842.00 18647.00
Saudi Arabia 36273.90 35161.10 45969.50 57423.50 80444.20 93811.10 92029.30
Seychelles 142.35 169.18 207.86 321.85 366.88 287.83 251.59
Singapore 49646.30 48837.20 56425.90 68954.90 74198.80 85691.50 87897.70
Somalia 4.20 3.15 2.31 3.56 2.34 3.03 6.01
South Africa 13262.90 13833.70 19972.30 25752.20 30243.30 33983.00 38882.20
Sri Lanka 3530.77 3447.35 3540.46 4043.26 4280.72 4993.65 5395.63
Sudan 479.36 446.67 428.40 583.75 781.78 2982.01 1957.15
Tanzania 526.62 597.18 418.69 540.25 590.47 576.24 648.55
Thailand 36820.00 37058.60 41240.60 47425.20 51642.50 60438.30 66239.40
United Arab E mirates 15805.90 14447.40 18960.30 24627.40 35761.70 38487.50 40905.80
Yemen 303.87 283.72 267.15 326.19 995.82 918.20 1050.33
Grand Total 361610.41 358501.51 415361.74 504631.44 603013.02 709565.54 760527.53
Source: Developed from International Monetary Fund Direction of Trade online
Appendix C 341
Value of intra-Indian Ocean trade as percentage of exports to industrialised countries 2001–2007
Country 2001 2002 2003 2004 2005 2006 2007
Australia 44.95 43.16 41.41 48.40 47.64 48.95 50.54
Bahrain 126.65 139.11 153.28 180.48 192.54 175.31 190.06
Bangladesh 6.86 6.28 6.40 5.42 7.18 6.33 6.79
Comoros 23.81 16.28 9.88 24.86 36.52 19.92 47.68
Djibouti 344.77 2915.19 3014.45 2705.72 2903.10 2781.40 3858.13
Egypt 57.64 24.55 30.35 32.83 37.14 30.50 36.42
Eritrea
Ethiopia 181.66 56.80 81.62 38.38 47.63 48.32 53.70
India 43.48 56.33 66.02 74.64 74.74 70.21 76.22
Indonesia 45.20 49.36 50.15 51.73 56.61 63.51 64.52
Iran 32.04 29.67 25.54 32.12 29.37 31.62 30.69
Iraq 9.07 14.05 5.91 3.02 2.07 3.36 1.96
Israel 11.17 10.43 10.72 11.00 10.72 10.18 10.99
Jordan 388.96 220.73 147.51 148.19 160.10 133.82 182.59
Kenya 127.33 97.35 89.62 100.93 60.47 66.59 76.25
Kuwait 50.86 53.94 54.27 62.41 59.29 62.43 69.35
Madagascar 29.22 12.90 15.00 7.24 6.87 7.07 7.79
Malaysia 59.69 66.67 68.50 71.92 76.43 77.25 83.51
Maldives 59.73 53.72 65.62 71.97 96.65 118.71 106.07
Mauritius 10.34 9.05 13.60 14.20 23.96 29.74 39.80
Mozambique 24.10 31.88 27.46 24.31 28.58 26.73 23.70
Myanmar 115.00 163.87 172.65 268.44 467.57 529.51 511.27
Oman 139.71 148.13 167.14 153.01 157.70 218.10 157.53
Pakistan 40.24 43.94 46.67 39.04 42.50 53.79 64.13
Qatar 31.75 46.60 39.75 53.79 48.39 53.06 57.05
Saudi Arabia 46.78 43.91 42.12 45.76 43.61 47.53 52.53
Seychelles 4.42 2.75 1.27 6.20 7.45 15.16 23.08
Singapore 74.95 78.87 103.17 104.13 115.41 116.65 128.40
Somalia 1523.46 3079.69 5764.39 4762.93 10029.43 9267.57 5922.85
South Africa 29.43 27.68 24.65 24.24 26.38 22.96 24.87
Sri Lanka 18.65 20.97 24.61 25.76 30.71 30.27 35.02
Sudan 38.65 64.04 222.80 91.33 64.09 20.85 28.66
Tanzania 34.21 30.69 53.86 57.57 55.85 70.00 74.30
Thailand 39.74 42.76 46.83 52.42 56.68 55.86 62.97
United Arab Emirates 71.36 80.87 76.14 81.68 75.62 91.30 99.08
Yemen 685.28 690.89 655.74 745.33 227.58 331.29 369.46
Source: Compiled by author
App
endi
xD
Intr
a-In
dian
Oce
anE
xpor
tsby
Val
ue(i
nU
SDM
illio
ns)
byC
ount
ry20
01
AUS
BHR
BGD
COM
DJI
EGY
ERI
ETH
IND
IDN
IRN
IRQ
ISR
JOR
KEN
KWT
MDG
MYS
MDV
MUS
MOZ
MMR
OMN
PAK
QAT
SAU
SYC
SGP
SOM
ZAF
LKA
SDN
TZA
THA
ARE
YEM
Total
AUS
51.508
183.37
40.09
50.34
237
2.56
50.37
93.07
112
42.660
1663
.680
387.80
743
8.87
714
3.34
148
.087
49.430
251.41
83.28
013
35.850
8.61
268
.724
98.958
19.568
106.75
522
2.33
661
.008
1352
.450
2.85
827
68.230
0.12
267
2.16
117
7.49
367
.654
65.296
1177
.030
657.62
062
.790
1376
5.42
9
BHR
4.04
90.00
00.00
013
.379
0.00
00.00
024
6.69
421
.653
65.689
0.06
47.16
471
.574
56.062
47.136
50.698
0.41
930
.103
0.00
00.00
039
.263
38.808
20.005
180.85
36.92
218
0.89
80.00
544
.329
17.566
0.00
251
.612
51.881
138.27
310
.588
1395
.689
BGD
13.604
1.45
30.00
01.36
17.02
30.00
00.40
860
.800
4.85
936
.845
2.44
50.00
01.29
72.55
02.76
20.11
94.76
50.24
20.02
30.27
40.67
70.95
125
.597
1.81
511
.783
0.00
035
.653
0.00
02.02
02.01
92.47
01.04
616
.735
50.558
0.98
529
3.13
9
COM
0.00
50.00
00.00
00.00
00.00
00.42
80.00
00.00
70.00
00.09
30.00
00.00
20.00
00.00
00.00
80.00
06.42
80.00
00.00
00.00
00.00
06.97
1
DJI
0.00
00.00
50.00
00.00
00.00
044
.494
0.42
70.00
20.00
00.00
00.00
00.04
30.00
00.26
60.03
10.00
00.00
11.42
80.00
00.31
80.00
00.04
188
.492
0.00
00.00
00.00
00.00
00.00
10.00
046
.130
181.67
9
EGY
1.68
72.31
40.23
10.00
00.00
00.42
12.50
125
2.13
29.17
44.29
790
.559
189.86
225
.197
19.853
16.755
1.45
99.72
40.00
05.20
50.72
60.02
04.19
520
.855
4.593
146.88
20.00
286
.125
0.10
24.75
20.60
233
.358
3.80
08.79
059
.048
17.949
1023
.170
ERI
0.00
0
ETH
1.16
60.00
00.00
00.00
012
1.37
60.01
99.69
80.00
00.00
00.00
01.74
90.00
00.00
00.00
00.00
00.00
00.00
00.00
00.00
00.00
00.00
00.00
00.16
00.00
00.00
00.00
00.00
00.00
00.00
00.00
010
.144
0.00
037
.533
181.84
5
IND
409.36
081
.779
1086
.810
1.29
720
.424
258.47
882
.954
442.05
350
9.80
175
.038
390.45
566
.748
148.46
518
7.12
116
.713
702.18
837
.308
145.32
622
.888
53.047
205.97
321
9.14
479
.071
681.47
05.89
810
16.690
8.17
024
5.14
854
6.80
110
0.71
279
.520
611.72
416
79.360
122.88
110
340.81
5
IDN
1844
.890
17.906
215.60
82.12
614
.847
196.80
43.10
06.39
510
53.940
121.49
882
.968
0.00
068
.709
25.181
74.510
19.004
1778
.630
11.311
36.754
7.96
868
.978
19.936
178.63
420
.754
482.47
22.19
753
63.830
12.522
160.06
115
9.47
262
.140
36.496
1063
.620
756.97
888
.587
1405
8.82
6
IRN
13.691
0.00
09.33
80.00
00.00
09.64
70.00
046
2.22
912
0.05
00.00
00.00
010
.732
9.09
70.00
01.79
913
5.57
60.02
46.25
80.00
00.00
041
.964
198.29
622
.428
108.17
00.01
651
9.41
60.00
010
27.000
211.99
90.00
04.84
769
.314
316.09
14.35
233
02.334
IRQ
0.00
00.00
50.21
40.00
00.89
50.00
054
.048
0.00
121
.645
0.00
062
2.65
00.00
10.00
00.00
50.06
70.00
00.00
00.00
00.00
00.00
32.84
70.00
00.00
00.00
00.000
63.278
0.00
00.00
00.00
070
.381
0.00
00.07
783
6.11
7
ISR
231.20
00.20
00.00
00.00
047
.100
1.10
05.90
047
1.60
024
.400
0.00
065
.300
24.200
0.00
061
5.90
06.00
00.00
00.30
00.00
00.00
026
1.80
00.00
016
6.40
056
.700
0.00
04.40
033
0.20
00.00
023
12.700
JOR
1.27
418
.667
0.66
40.00
00.78
723
.426
2.95
95.90
720
5.21
229
.985
9.22
253
3.84
011
1.97
43.39
136
.946
0.00
223
.545
0.00
00.00
00.00
00.00
013
.913
25.624
25.630
142.12
00.00
01.81
20.49
94.58
91.34
424
.263
0.32
25.39
491
.694
17.660
1362
.665
KEN
9.99
80.43
60.35
74.51
410
.741
90.639
6.04
527
.409
30.064
0.90
65.31
20.00
015
.406
1.35
30.42
23.26
53.13
80.03
04.32
43.76
61.14
40.04
111
2.99
30.04
87.35
92.70
76.75
330
.879
5.38
82.44
231
.152
171.97
67.04
464
.092
17.274
679.41
7
KWT
62.546
14.929
25.511
0.00
00.00
045
.837
0.88
255
1.83
564
3.90
210
.167
0.00
016
.672
6.25
30.02
360
.615
0.00
10.17
80.00
00.00
038
.349
721.04
614
.036
100.21
40.00
012
37.180
0.00
093
.619
6.38
90.00
02.04
030
7.12
694
.546
116.53
941
70.435
MDG
0.75
10.00
00.04
02.24
50.01
70.24
90.00
11.46
522
.441
0.00
70.00
00.39
30.00
41.21
80.00
00.18
20.00
023
.438
0.15
00.00
00.00
00.31
80.00
00.13
30.83
881
.520
0.00
02.05
40.14
90.30
40.51
16.08
30.76
60.00
614
5.28
3
MYS
2052
.090
27.119
171.33
50.20
44.58
220
9.91
70.20
56.16
815
77.050
1563
.110
178.34
633
.029
0.00
066
.454
20.384
63.292
7.33
028
.891
27.090
4.66
419
7.011
96.737
399.27
029
.482
341.23
52.14
414
912.90
02.61
825
6.07
818
7.00
119
.488
16.041
3359
.950
833.44
850
.820
2674
5.48
3
MDV
0.00
00.00
00.00
00.00
01.21
10.00
00.00
00.00
00.00
01.48
20.00
00.00
00.00
00.00
00.00
00.00
00.00
01.71
90.00
015
.785
0.00
07.06
40.02
127
.282
MUS
3.87
31.10
70.25
73.60
30.02
20.49
20.02
52.24
60.49
40.00
00.00
00.91
30.00
05.76
90.01
695
.183
0.43
10.00
31.03
40.04
70.07
70.12
30.00
00.05
65.13
81.40
00.00
012
.331
1.08
20.08
62.76
20.32
42.05
20.01
014
0.95
6
MOZ
0.59
00.00
00.00
00.00
00.00
00.00
03.53
40.01
80.80
80.00
00.00
00.00
00.66
10.00
00.00
01.28
90.07
70.00
00.00
00.15
80.00
00.04
10.01
21.17
30.00
0107.63
50.00
00.00
00.18
10.12
71.11
00.00
011
7.41
4
MMR
11.121
0.41
317
.924
0.00
02.2
017
9.82
718
.933
00.00
00
0.02
40
2.06
60
71.088
00.31
30.14
415
.88
00.77
40
102.13
50.00
00.11
41.13
80.00
00
735.40
60
0.055
1159
.555
OMN
1.03
815
.357
0.41
40.05
12.15
914
7.65
20.66
72.29
214
3.14
532
.348
454.83
620
.735
0.00
044
.304
29.004
25.376
0.01
730
3.23
50.12
10.41
50.07
50.00
27.382
20.786
188.74
00.00
050
8.60
810
.644
121.52
25.32
616
.893
64.652
1031
.740
822.39
346
.682
4068
.611
PAK
102.21
445
.051
119.48
30.34
91.49
344
.534
0.00
01.77
666
.183
95.089
28.934
22.660
0.00
025
.251
28.373
53.128
7.95
853
.303
1.65
729
.545
0.00
03.26
348.683
34.917
296.03
10.27
046
.892
3.53
871
.679
74.857
8.39
723
.001
53.180
697.10
630
.427
2119
.222
QAT
171.37
629
.581
4.01
70.00
111
.675
2.49
20.87
615
6.66
719
.855
5.47
90.17
815
.285
4.17
317
.442
23.082
41.260
0.01
40.00
90.48
90.00
66.42
112
.550
150.550
0.02
273
7.56
80.07
351
.252
11.704
3.83
113
.690
257.37
923
3.18
27.85
319
90.032
SAU
578.93
215
54.240
215.74
20.00
010
5.71
961
6.97
613
.056
183.08
811
96.660
1194
.670
201.40
00.00
014
2.26
518
2.51
453
9.92
56.06
857
8.62
80.66
734
.714
0.79
22.45
016
8.22
010
34.190
181.61
836
.922
3844
.720
4.36
417
30.440
32.355
140.89
652
.935
1226
.030
888.45
527
8.17
016
967.82
1
SYC
0.39
30.00
00.00
00.00
00.00
00.00
00.00
00.01
70.00
00.03
40.00
00.00
00.00
00.06
83.56
80.05
10.00
00.10
20.00
00.00
00.01
70.01
70.00
00.00
00.05
10.00
01.91
20.00
00.00
00.00
00.00
00.06
80.00
06.29
8
SGP
3171
.130
20.912
846.59
91.25
29.23
412
5.50
83.84
327
43.510
0.00
025
1.08
80.00
019
1.84
314
.066
17.466
66.558
36.695
2112
2.00
010
5.23
483
.339
3.75
4423.23
472
.540
365.29
738
.661
312.72
222
.184
0.00
025
9.81
039
5.54
523
.112
10.188
5304
.380
1146
.720
23.922
3721
2.34
6
SOM
0.00
42.09
70.00
00.00
00.40
10.41
80.00
02.53
40.00
00.00
00.00
00.87
10.11
43.07
30.00
00.03
00.00
00.00
00.00
03.73
30.91
90.00
06.53
80.00
00.00
00.23
80.00
00.02
30.00
72.47
138
.182
2.37
864
.031
ZAF
440.33
86.23
53.93
38.83
86.70
730
.625
1.63
212
.771
361.93
298
.962
57.333
3.12
950
9.88
212
.788
218.45
214
.898
53.270
153.30
91.63
924
4.47
366
4.26
00.23
55.02
963
.672
8.65
812
2.14
125
.749
231.54
90.14
721
.759
20.279
179.81
716
9.31
614
3.79
65.18
739
02.740
LKA
45.214
1.80
510
.084
0.00
013
.612
0.76
071
.985
5.45
629
.450
19.063
55.306
22.045
1.56
49.09
31.56
66.65
150
.451
1.21
90.00
00.59
34.63
424
.871
0.88
431.060
0.39
557
.120
0.00
010
.143
0.03
30.19
136
.877
145.38
10.82
365
8.32
9
SDN
0.09
52.10
65.04
70.00
00.00
058
.240
0.00
00.80
27.67
831
.312
0.00
00.00
00.00
014
.892
11.918
0.62
20.07
00.21
20.00
00.01
00.00
00.00
50.26
53.80
10.000
26.078
0.00
09.79
70.77
70.16
20.00
00.04
46.36
50.00
04.99
918
5.29
7
TZA
2.47
60.04
40.90
20.01
70.02
81.83
40.33
60.73
482
.203
3.30
20.05
40.00
01.90
50.09
338
.412
0.03
60.67
42.95
70.26
20.32
91.49
70.23
20.54
47.00
50.00
04.89
40.03
55.95
40.14
88.94
60.13
60.23
84.27
79.55
50.09
818
0.15
7
THA
1358
.120
33.016
231.12
53.33
33.63
014
2.29
07.62
748
1.88
813
65.730
132.06
257
.774
455.53
938
.667
29.086
65.013
4.73
027
21.610
12.700
27.315
10.865
355.04
040
.141
178.47
419
.450
348.16
02.12
152
87.440
17.110
315.19
914
0.70
918
.237
33.922
636.34
757
.715
1463
2.18
5
ARE
438.05
011
1.99
910
2.28
84.29
310
.328
100.96
40.00
010
57.220
157.79
714
84.530
0.00
053
.408
479.81
127
5.17
754
.078
148.94
729
.521
32.824
12.129
0.00014
96.000
1183
.670
177.57
257
5.73
019
.524
1240
.590
12.837
99.250
137.25
114
.432
99.068
1390
.000
279.70
811
278.99
6
YEM
0.00
010
.395
0.30
40.00
06.89
410
.965
3.03
43.35
361
8.52
20.90
00.04
94.88
91.40
30.05
864
.180
0.00
021
8.27
40.00
00.00
00.00
00.00
02.93
11.29
31.71
867
.879
0.00
031
6.79
88.71
811
1.50
80.22
02.50
00.02
460
5.68
019
.827
2082
.316
Total10
967.22
620
50.479
3255
.850
32.217
321.09
325
83.963
35.426
404.03
713
396.81
675
71.510
3996
.693
1385
.248
2068
.568
1385
.729
1429
.022
1825
.959
387.45
330
145.66
628
9.10
780
8.10
983
4.28
911
25.852
2417
.460
5066
.498
763.13
456
87.021
135.95
438
872.79
020
1.76
556
49.018
2207
.844
590.50
091
8.38
917
926.03
395
26.669
1332
.198
1775
95.585
Intr
a-In
dian
Oce
an e
xpor
ts b
y va
lue
(in
USD
mill
ions
) by
cou
ntry
200
1
Sour
ce: D
evel
oped
fro
m I
nter
natio
nal M
onet
ary
Fund
Dir
ectio
n of
Tra
de S
tatis
tics
onlin
e
App
endi
xE
Intr
a-In
dian
Oce
anE
xpor
tsby
Val
ue(i
nU
SDM
illio
ns)
byC
ount
ry20
02
AUS
BHR
BGD
COM
DJI
EGY
ERI
ETH
IND
IDN
IRN
IRQ
ISR
JOR
KEN
KWT
MDG
MYS
MDV
MUS
MOZ
MMR
OMN
PAK
QAT
SAU
SYC
SGP
SOM
ZAF
LKA
SDN
TZA
THA
ARE
YEM
Total
AUS
53.395
172.10
70.13
81.30
335
9.09
30.43
04.46
713
53.810
1695
.900
332.23
536
2.64
213
4.61
064
.210
43.658
285.91
53.05
912
43.630
13.442
75.649
97.008
8.89
195
.296
230.21
944
.826
1283
.960
3.34
126
41.010
0.51
770
8.53
316
1.71
079
.256
61.361
1371
.270
691.33
367
.713
1374
5.93
7
BHR
0.00
00.00
00.00
014
.520
0.00
00.00
011
3.04
638
.664
51.278
0.06
79.48
332
.666
57.984
51.510
35.100
2.38
333
.549
0.00
00.00
078
.625
40.558
30.593
250.20
00.05
067
.178
0.00
610
.622
95.133
0.00
263
.972
52.034
147.00
027
.662
1303
.885
BGD
13.162
0.90
30.00
00.92
711
.765
0.00
00.09
739
.326
7.08
238
.236
0.00
00.00
01.31
23.95
93.68
40.17
75.55
00.00
00.04
30.18
00.96
61.11
627
.180
2.31
211.997
0.00
026
.557
0.07
83.09
01.93
816
.685
0.12
611
.117
21.879
1.76
725
3.21
1
COM
0.00
80.00
00.00
00.00
00.42
20.05
30.00
00.00
00.00
00.02
60.01
20.06
60.00
00.01
10.00
60.00
03.16
70.12
80.00
10.00
00.00
03.90
0
DJI
0.00
00.00
60.00
00.00
00.00
054
.849
0.72
70.04
00.00
00.00
00.00
00.00
00.00
00.01
00.01
90.00
00.00
08.12
90.00
00.28
60.00
00.29
796
.037
0.00
00.00
00.00
00.00
20.00
00.00
033
.983
194.38
5
EGY
14.698
2.51
16.56
90.00
00.00
00.45
617
.611
177.19
519
.26
13.249
93.664
18.455
69.164
33.08
17.330
2.33
714
.567
0.08
9.16
50
0.02
215
.617
3614
.219
197.47
70.01
777
.388
0.11
010
.315
036
.203
4.75
99.51
293
39.892
1043
.922
ERI
ETH
0.89
60.00
00.00
00.00
054
.350
4.88
710
.969
0.00
00.00
00.00
015
.138
0.00
00.02
40.00
10.00
04.27
10.00
00.00
00.00
00.00
013
.777
0.00
028
.071
0.00
01.42
50.00
00.00
00.00
02.25
80.00
91.07
30.00
07.64
614
4.79
5
IND
482.63
893
.551
1132
.540
5.38
432
.120
339.36
569
.182
753.80
455
4.30
521
2.85
858
2.90
996
.583
191.69
423
9.48
514
.268
755.45
330
.409
163.99
742
.731
71.528
186.20
419
0.62
484
.330
912.16
66.06
513
09.260
18.708
451.21
884
8.45
910
9.43
010
9.29
069
1.68
131
18.560
159.74
614
060.54
5
IDN
1924
.360
16.670
245.70
92.21
512
.585
179.64
33.89
511
.745
1301
.960
128.58
662
.793
0.00
091
.388
23.497
74.261
14.276
2029
.950
10.401
33.457
9.50
354.361
18.820
264.89
224
.306
474.96
31.68
853
49.080
3.24
616
7.20
515
3.35
092
.580
57.185
1227
.350
719.55
281
.983
1486
7.45
5
IRN
20.866
0.00
09.08
30.00
00.00
010
.258
0.00
024
0.61
860
.658
0.00
00.00
011
.266
2.79
20.00
03.37
411
8.49
70.00
65.24
80.00
00.00
020
.439
185.80
117
.116
81.919
0.00
054
3.33
30.00
091
6.83
516
6.53
40.00
03.51
756
.389
332.09
14.52
928
11.169
IRQ
20.525
0.00
50.00
00.00
00.95
20.00
00.02
793
.180
13.631
0.00
068
3.91
10.00
00.00
00.00
00.00
10.00
00.00
00.00
00.00
00.00
30.14
00.00
00.00
00.00
00.00
086
.782
0.01
30.00
00.00
037
.393
0.00
00.00
093
6.56
3
ISR
267.70
00.00
00.00
00.00
026
.200
1.20
02.50
061
3.70
09.90
00.00
069
.100
27.500
0.00
028
9.70
05.60
00.00
01.00
00.00
00.00
027
6.50
00.00
016
4.20
047
.400
0.00
03.30
039
3.60
00.00
021
99.100
JOR
1.29
819
.256
2.06
20.00
00.82
918
.982
0.52
516
.607
226.39
120
.850
11.411
603.96
913
6.70
11.98
936
.249
0.00
017
.259
0.00
00.80
33.08
30.02
415
.184
31.376
28.393
156.48
30.00
01.98
60.92
67.82
31.84
634
.935
0.29
93.70
695
.881
18.527
1515
.653
KEN
5.97
96.91
00.35
23.45
95.98
385
.739
5.47
725
.151
32.290
2.42
91.81
80.00
015
.931
1.53
70.85
58.33
23.97
40.00
02.07
44.23
30.98
60.42
310
5.91
40.00
75.72
73.11
43.35
057
.859
6.57
81.89
335
.790
180.07
94.03
831
.343
23.161
672.78
5
KWT
87.374
15.874
106.72
30.00
00.00
048
.740
0.26
413
9.13
761
4.03
312
.460
0.00
016
.040
18.035
1.95
242
.124
0.00
11.39
00.00
00.00
025
.461
688.76
826
.245
113.72
40.00
015
87.230
0.00
018
.247
87.909
0.00
01.27
311
7.54
695
.091
138.97
240
04.613
MDG
0.17
30.36
90.09
61.64
00.00
60.29
70.05
51.82
50.53
00.00
00.00
20.35
60.05
01.87
00.00
00.19
40.00
015
.630
0.00
40.00
00.00
00.39
60.00
00.28
70.51
420.741
0.00
00.92
60.55
60.03
20.00
06.73
30.17
70.00
153
.460
MYS
2108
.490
32.125
225.84
50.28
75.04
329
5.53
71.16
75.96
317
60.850
1801
.220
229.47
474
.280
0.00
062
.744
13.455
71.002
8.14
319
.726
43.570
61.583
239.18
849
.551
524.41
639
.500
383.28
44.76
115
958.50
03.42
525
0.91
323
3.26
917
.925
13.785
3972
.220
858.46
376
.554
2944
6.25
8
MDV
0.00
00.00
00.00
00.00
00.11
80.00
00.00
00.00
00.00
00.76
70.00
00.00
00.00
00.00
00.00
00.00
80.00
02.78
70.00
113
.936
0.00
013
.279
0.12
331
.019
MUS
3.23
50.00
40.39
63.19
70.00
20.62
70.00
03.36
61.11
20.00
00.00
00.96
70.09
17.01
10.02
368
.344
0.96
00.00
01.79
80.00
10.91
50.17
00.01
00.08
513
.186
7.73
60.00
019
.109
1.40
00.00
33.47
91.00
21.38
60.00
013
9.61
5
MOZ
0.00
00.00
00.00
00.00
00.00
00.00
014
.594
0.41
70.09
90.00
00.00
00.00
00.21
60.00
00.00
00.29
80.06
50.00
00.00
00.00
00.00
00.00
00.00
00.90
50.00
0120.41
20.00
00.00
00.00
00.19
90.32
70.00
013
7.53
2
MMR
9.88
80.44
821
.612
0.00
02.38
70.00
031
4.21
728
.617
0.17
90.00
00.00
00.00
60.00
02.13
70.00
069
.785
0.00
00.42
60.33
013
.735
0.32
40.68
90.00
097
.260
0.00
00.10
51.07
30.00
00.00
083
1.19
30.00
00.04
413
94.455
OMN
2.58
222
.437
0.80
60.11
55.26
75.82
91.29
44.49
512
1.58
117
.037
520.02
069
.881
0.00
024
.546
64.466
26.230
0.00
026
8.78
10.18
10.15
20.03
20.20
513
.607
34.205
180.95
00.10
542
5.12
716
.251
4.36
73.46
211
.654
74.770
1283
.840
1026
.730
50.095
4281
.100
PAK
113.15
343
.112
103.80
20.35
53.51
453
.286
0.04
85.30
248
.860
81.430
41.877
32.922
0.00
024
.103
92.912
59.927
9.75
164
.064
2.53
225
.375
3.87
97.83
547.946
32.367
389.69
60.31
453
.129
3.51
582
.903
71.325
15.325
28.539
67.183
834.60
035
.041
2479
.922
QAT
54.645
29.253
2.07
50.01
926
3.41
90.13
22.84
310
1.98
111
.693
24.235
0.16
613
.354
4.10
632
.899
0.27
14.40
10.01
30.82
51.16
71.42
89.88
416
.570
191.027
0.00
010
17.080
0.06
646
.907
23.411
1.09
90.55
537
5.31
343
6.08
78.81
526
75.739
SAU
674.33
516
52.670
94.396
0.00
011
2.41
465
6.04
713
.883
100.97
444
9.58
110
03.200
304.34
40.00
013
1.43
115
5.22
250
9.23
13.28
336
1.87
40.46
745
.946
3.946
2.60
520
0.42
511
95.610
229.18
053
.168
3467
.180
4.64
012
93.900
141.14
614
9.81
942
.978
1113
.410
951.36
432
0.19
115
438.86
0
SYC
0.45
60.16
40.00
00.00
00.00
00.00
00.00
00.00
00.03
60.23
70.07
30.00
00.00
00.14
62.64
60.01
80.00
00.10
90.12
80.00
00.07
30.01
80.00
00.00
00.05
50.00
00.42
00.00
00.00
00.00
00.00
00.07
30.00
04.65
2
SGP
3372
.950
30.038
749.16
51.76
012
.483
127.63
23.47
326
49.450
0.00
031
9.96
40.00
014
3.53
623
.011
25.670
66.997
28.198
2180
7.10
093
.443
76.288
4.99
6524.19
948
.376
393.38
443
.579
356.28
424
.087
0.00
023
9.55
938
2.16
415
.263
9.43
257
09.770
1215
.910
20.278
3851
8.43
9
SOM
0.00
12.27
60.00
00.00
00.43
50.45
40.00
021
.420
0.17
00.00
00.00
00.25
00.03
13.17
90.00
00.03
70.00
00.00
00.00
09.22
10.98
40.41
35.38
30.00
00.00
00.04
30.00
00.02
50.00
51.57
833
.364
17.618
96.887
ZAF
483.98
89.48
34.87
512
.617
5.67
817
.723
1.98
616
.364
349.71
110
3.84
734
.794
1.28
851
8.26
814
.397
220.89
09.39
539
.027
165.03
31.34
725
3.70
159
7.01
50.58
25.28
443
.068
4.41
812
6.34
433
.535
167.94
90.36
424
.532
28.824
191.34
918
7.60
515
0.25
03.30
038
28.831
LKA
47.167
2.64
910
.183
0.00
00.00
00.20
117
0.57
58.40
735
.046
22.725
39.422
23.176
2.58
89.68
51.87
78.66
445
.910
1.72
50.00
00.27
44.93
628
.842
0.99
230.303
0.00
072
.250
0.00
010
.588
0.03
90.00
014
.158
130.04
10.63
372
3.05
6
SDN
0.07
62.28
64.03
20.00
00.00
063
.206
0.00
00.73
919
.750
0.24
11.99
70.00
00.00
010
.178
2.93
20.64
30.00
00.15
70.00
00.00
00.00
00.00
60.12
64.63
31.356
149.23
80.00
010
.644
0.84
30.32
90.00
00.10
59.53
20.00
03.01
328
6.06
2
TZA
3.00
00.00
01.15
50.35
90.05
01.66
50.23
50.37
264
.241
4.09
70.16
30.00
04.33
50.00
235
.342
0.00
00.68
92.93
30.21
70.29
01.63
00.58
30.07
18.80
00.00
015
.445
0.28
43.94
90.33
916
.532
0.08
50.26
91.72
814
.398
0.03
418
3.29
2
THA
1640
.250
34.918
229.02
33.72
12.38
312
5.62
714
.982
413.16
616
78.330
176.98
575
.708
499.73
153
.040
27.568
66.964
3.70
428
34.910
14.405
26.042
8.83
132
3.52
742
.923
228.42
322
.383
393.91
53.30
255
53.510
15.073
332.39
315
2.00
921
.230
33.371
716.82
376
.395
1584
5.56
5
ARE
207.93
211
9.09
213
8.34
24.56
510
.982
107.35
70.00
086
0.46
910
4.54
819
56.500
0.00
071
.375
335.46
825
9.53
431
.551
128.25
425
.459
52.543
6.19
50.00
01496
.390
1197
.970
259.59
374
3.74
75.95
614
29.140
13.650
67.105
244.46
115
.346
88.256
1298
.310
402.91
611
683.00
6
YEM
0.00
113
.478
0.05
00.00
09.07
614
.304
3.58
52.50
954
5.96
350
.960
0.27
43.47
51.24
90.12
610
3.30
60.09
719
9.44
90.00
00.00
00.00
00.00
017
.507
1.76
20.38
493
.405
0.24
212
3.71
69.18
357
.915
0.08
61.75
80.00
161
9.81
386
.540
1960
.214
Total11
561.82
622
03.883
3260
.998
39.812
275.44
928
35.541
34.313
360.74
512
161.33
682
11.745
4803
.397
1616
.440
2110
.432
1566
.997
1368
.767
1937
.062
296.90
230
477.78
626
0.42
287
3.72
884
7.94
212
38.211
2391
.146
5495
.777
941.05
165
77.069
153.72
940
299.41
924
4.83
650
96.003
2859
.100
685.75
097
1.79
819
483.57
511
802.38
616
20.509
1869
65.882
Intr
a-In
dian
Oce
an e
xpor
ts b
y va
lue
(in
USD
mill
ions
) by
cou
ntry
200
2
Sour
ce: D
evel
oped
fro
m I
nter
natio
nal M
onet
ary
Fund
Dir
ectio
n of
Tra
de S
tatis
tics
onlin
e
App
endi
xF
Intr
a-In
dian
Oce
anE
xpor
tsby
Val
ue(i
nU
SDM
illio
ns)
byC
ount
ry20
03
AUS
BHR
BGD
COM
DJI
EGY
ERI
ETH
IND
IDN
IRN
IRQ
ISR
JOR
KEN
KWT
MDG
MYS
MDV
MUS
MOZ
MMR
OMN
PAK
QAT
SAU
SYC
SGP
SOM
ZAF
LKA
SDN
TZA
THA
ARE
YEM
Total
AUS
69.061
147.21
60.26
80.15
815
8.01
23.52
44.52
221
94.250
1863
.410
168.85
316
2.56
912
8.07
485
.086
18.883
364.13
57.40
613
54.870
9.83
865
.856
147.95
77.97
013
2.01
423
7.37
782
.828
1182
.550
3.65
522
32.950
0.23
686
3.01
210
4.86
795
.035
34.507
1461
.700
1226
.830
58.922
1467
8.40
1
BHR
0.00
00.00
00.00
018
.378
0.00
00.00
078
.339
42.555
56.996
0.07
417
.042
145.91
264
.450
16.826
40.237
0.72
683
.755
0.00
00.00
012
0.81
671
.742
58.692
185.29
30.06
755
.757
0.00
72.34
93.67
312
.560
80.968
85.346
224.27
335
.011
1501
.844
BGD
12.229
1.42
10.00
03.38
55.99
00.00
00.00
055
.340
8.23
136
.548
0.00
00.00
01.23
22.31
42.92
70.10
83.87
90.00
00.14
00.46
12.44
10.84
742
.696
1.65
411
.292
0.00
037
.538
0.00
03.95
25.80
123
.515
2.45
19.44
922
.257
1.79
929
9.89
7
COM
0.00
00.00
00.00
00.00
00.40
20.00
10.00
00.00
00.00
00.14
10.01
00.66
70.00
00.02
00.13
60.00
01.42
40.03
60.00
10.02
10.00
02.85
9
DJI
0.00
00.00
70.00
00.00
00.00
060
.167
0.99
90.13
40.00
00.00
00.00
00.00
00.00
00.02
10.01
50.00
00.00
05.59
10.00
00.16
80.00
00.15
112
1.55
20.00
00.000
0.02
20.00
30.00
54.90
943
.011
236.75
5
EGY
9.76
33.17
89.34
70.00
00.00
00.57
820
.671
118.45
227
.973
14.727
104.10
820
.273
107.17
358
.128
19.262
7.66
521
.147
0.12
712
.629
00.02
820
.514
32.302
26.369
275.38
20
113.27
0.14
047
.246
3.51
894
.733
6.02
348
.425
152
50.490
1425
.641
ERI
0.00
0
ETH
1.27
40.00
00.00
00.00
011
9.82
52.37
27.59
30.00
00.00
00.00
01.50
50.00
00.81
60.05
30.00
01.94
30.00
00.00
00.00
00.00
01.25
10.00
035
.770
0.00
01.148
0.00
00.00
00.00
07.41
80.00
01.02
90.00
016
.174
198.17
1
IND
564.26
310
8.60
615
99.550
3.06
064
.609
350.17
475
.817
1053
.100
852.26
311
0.09
570
1.62
013
8.69
522
3.00
630
1.95
833
.016
856.91
439
.651
193.35
763
.526
86.001
243.89
426
6.74
412
0.35
810
77.660
9.10
319
49.020
35.068
525.50
512
19.640
106.82
616
0.70
180
1.56
146
76.050
204.10
118
815.51
2
IDN
1791
.600
17.407
265.78
61.14
516
.297
170.35
12.09
819
.554
1742
.490
185.02
212
.372
0.00
089
.423
28.245
73.079
14.691
2363
.850
10.275
32.186
21.586
45.659
16.586
265.38
324
.618
434.55
32.37
953
99.660
1.26
223
3.20
418
4.93
148
.230
70.713
1392
.630
759.79
252
.423
1578
9.48
0
IRN
33.675
0.00
018
.097
0.00
00.00
012
.436
0.00
024
0.63
088
.181
0.00
00.00
013
.708
29.937
0.00
076
.168
91.042
0.00
00.61
30.00
00.00
041
.558
273.95
816
.373
104.72
50.00
068
5.59
50.00
012
37.750
226.82
713
.697
4.26
465
.257
346.09
15.49
036
26.072
IRQ
27.577
0.00
70.00
00.00
01.15
40.00
00.10
00.02
815
.166
0.00
034
0.57
90.00
00.00
00.00
60.02
90.00
00.00
00.00
00.00
00.00
10.03
20.00
00.00
20.00
00.000
0.00
00.00
00.02
20.00
024
.156
2.00
00.00
041
0.85
9
ISR
278.40
00.00
00.00
00.00
026
.200
1.20
010
.800
720.20
09.90
00.00
086
.800
36.400
0.00
027
4.80
05.50
00.00
01.80
00.00
00.00
028
1.90
00.00
017
4.50
041
.400
0.00
04.60
045
4.10
00.00
024
08.500
JOR
2.21
618
.255
1.76
80.00
00.52
226
.898
0.50
47.14
519
9.00
427
.110
26.710
542.51
610
8.02
72.23
239
.687
0.05
219
.459
0.00
00.54
90.00
00.00
016
.917
22.980
26.465
161.71
60.00
00.56
40.93
25.89
32.33
428
.656
1.09
68.05
811
7.26
622
.647
1438
.178
KEN
8.77
20.56
70.38
14.05
04.98
271
.808
5.40
821
.393
32.894
2.99
10.97
10.04
516
.317
1.37
70.73
26.24
04.41
90.00
89.79
22.97
10.00
00.67
912
0.53
00.13
85.10
22.61
82.29
649
.297
14.036
3.44
357
.662
192.11
47.66
327
.757
31.480
710.93
3
KWT
89.041
19.244
157.67
90.00
00.00
059
.088
42.196
137.94
362
4.19
213
.864
0.00
018
.862
9.05
50.04
949
.072
0.00
21.34
70.00
00.00
031
.598
756.20
818
.670
118.52
80.01
719
21.340
0.00
082
.956
15.609
2.88
51.54
415
2.32
916
1.36
416
8.47
746
53.159
MDG
0.19
90.03
50.00
02.08
90.00
00.38
00.02
14.12
00.15
10.01
60.00
20.25
40.00
00.43
00.00
00.47
60.00
044
.010
0.06
80.00
00.00
00.39
30.00
10.80
80.58
424.770
0.00
016
.171
0.24
90.06
50.03
38.92
40.87
50.00
010
5.12
4
MYS
2613
.740
33.146
320.31
50.40
112
.788
454.65
60.26
85.77
025
33.820
2129
.150
328.21
812
.522
0.00
079
.198
18.243
89.776
7.11
421
.763
50.208
17.316
140.23
052
.359
670.85
239
.309
408.70
93.47
916
522.60
03.41
633
4.07
530
4.23
841
.385
26.442
4615
.310
1115
.550
104.59
133
110.95
7
MDV
0.00
00.00
00.00
00.00
00.34
84.79
80.00
00.00
00.00
01.03
50.00
00.00
00.00
00.00
00.00
00.00
80.00
03.26
40.00
015
.344
0.00
018
.512
0.00
143
.310
MUS
3.80
40.00
30.01
74.55
00.00
30.61
90.32
16.05
80.55
40.01
20.00
01.24
40.00
08.04
20.05
311
7.00
07.38
00.01
31.78
90.00
00.14
00.68
50.00
40.01
19.69
811
.991
0.00
028
.197
1.06
80.00
42.31
71.20
84.10
20.02
521
0.91
2
MOZ
0.00
00.00
00.95
80.00
00.00
00.00
03.60
92.98
40.00
00.00
00.00
00.00
03.23
30.00
00.00
01.48
20.61
30.00
00.00
00.41
90.00
00.24
40.00
00.50
10.00
0169.63
40.00
00.00
01.26
52.02
90.24
40.00
018
7.21
5
MMR
10.058
0.56
730
.208
0.00
03.02
10.00
035
5.24
413
.590
0.19
90.00
00.00
00.01
30.00
02.37
50.00
172
.620
0.00
00.34
91.11
58.36
40.34
50.65
50.00
076
.223
0.00
00.32
32.08
20.00
00.00
082
6.95
89.90
90.05
614
14.275
OMN
2.72
821
.296
0.76
90.23
18.51
78.60
31.58
28.98
367
.980
118.38
242
9.52
323
.594
0.00
058
.784
2.51
744
.331
0.11
734
2.28
00.32
90.18
80.04
60.06
811
.939
29.831
197.57
00.00
027
7.25
817
.585
5.72
30.00
017
.671
16.078
1267
.190
807.56
761
.807
3851
.067
PAK
115.38
539
.399
166.33
21.46
74.57
241
.075
0.34
12.35
283
.535
47.305
82.091
3.60
00.00
024
.583
85.410
76.901
19.410
94.042
2.57
233
.583
12.969
5.34
141.901
34.368
469.22
40.53
413
7.77
04.37
811
4.70
383
.542
11.559
21.220
69.392
1121
.030
52.653
3104
.539
QAT
40.794
35.386
9.47
20.03
824
.310
0.21
84.30
014
7.82
63.14
710
.501
3.91
58.46
06.82
832
.665
0.43
24.54
80.00
00.00
018
.669
0.00
013
.869
16.326
196.87
50.00
012
73.610
0.00
738
.397
23.461
1.69
54.83
939
9.00
736
9.30
53.21
026
92.110
SAU
584.83
120
03.550
181.81
20.00
013
6.28
079
5.33
316
.831
231.30
761
7.73
213
62.000
338.62
80.00
058
9.03
029
0.97
756
6.59
55.58
153
0.11
80.38
153
.383
16.731
3.15
920
4.02
612
88.040
264.63
458
.948
3566
.030
5.62
619
44.470
68.482
399.90
252
.103
1560
.420
1235
.000
388.17
119
360.11
1
SYC
0.05
60.00
00.00
00.00
00.00
00.00
00.00
00.01
90.00
00.01
90.09
30.00
00.00
00.00
00.14
80.00
00.00
00.20
40.00
00.00
00.00
00.00
00.00
00.00
00.92
60.00
00.57
40.55
50.00
00.00
00.00
00.03
70.00
02.63
1
SGP
4681
.030
31.499
682.48
82.20
716
.229
109.82
67.84
630
91.770
1577
6.80
039
4.71
60.00
016
9.21
819
.327
21.510
89.451
39.823
2279
3.20
011
3.32
786
.485
13.644
650.87
683
.455
455.77
962
.529
336.25
226
.616
0.00
030
6.95
448
5.32
121
.574
11.305
6156
.460
1451
.520
23.267
5821
2.30
4
SOM
0.00
32.88
00.00
00.00
00.55
10.57
50.00
012
.654
0.01
30.00
00.00
00.41
10.10
83.53
30.00
00.00
90.00
00.00
00.00
08.72
40.52
60.49
36.88
10.00
00.00
00.11
80.00
00.33
00.00
70.45
572
.818
22.299
133.38
8
ZAF
740.93
911
.328
6.18
216
.127
4.05
235
.211
2.98
217
.231
378.03
416
3.17
939
.721
3.53
050
5.69
49.86
428
6.06
519
.407
98.662
225.27
91.70
226
9.79
974
1.163
0.58
710
.016
85.581
7.28
215
2.30
438
.506
227.18
20.13
524
.047
41.085
247.44
021
5.45
829
4.75
03.19
449
23.718
LKA
57.590
3.30
011
.170
0.00
011
.120
0.41
824
5.05
08.56
035
.280
8.72
045
.002
29.020
3.32
09.99
05.33
112
.460
55.460
3.19
90.00
00.24
03.12
636
.730
1.07
729.980
0.00
065
.860
0.00
012
.970
0.16
00.00
011
.540
163.51
01.26
087
1.44
3
SDN
28.224
37.926
15.810
0.00
00.04
162
.274
0.00
00.53
579
.003
36.176
5.41
80.06
10.00
021
.189
15.702
2.27
00.05
712
.594
0.00
00.01
70.00
00.00
01.77
414
.632
1.49
744
7.27
00.00
05.56
90.01
311
.988
0.00
00.00
014
.143
140.30
40.00
095
4.48
7
TZA
3.20
50.00
00.00
00.45
50.06
42.10
70.29
70.00
095
.250
11.266
0.18
10.00
04.18
20.04
216
.373
0.00
02.88
52.91
90.27
50.65
21.45
90.73
80.78
58.79
30.067
1.73
40.16
87.80
90.42
917
.657
0.00
00.14
913
.073
32.455
0.04
222
5.51
1
THA
2167
.400
40.683
273.06
84.24
35.48
217
3.45
510
.097
640.93
822
73.520
297.78
411
0.74
052
9.85
676
.048
36.242
82.237
11.527
3886
.570
21.283
28.307
10.975
439.39
651
.635
338.08
028
.206
435.27
14.63
358
72.980
14.125
378.77
316
0.54
018
.313
29.939
758.95
910
3.57
419
314.87
9
ARE
632.60
614
4.37
617
1.76
25.53
413
.314
130.15
00.00
016
21.930
102.79
621
76.900
0.00
013
0.88
038
2.11
628
8.77
024
.159
272.51
832
.359
15.805
10.314
0.00012
88.990
1322
.820
296.59
087
0.64
56.07
717
15.280
16.548
72.768
163.60
078
.204
106.99
418
53.990
488.45
914
437.25
4
YEM
19.889
17.059
0.00
00.00
011
.488
18.104
4.53
89.16
429
.887
26.572
0.30
53.86
21.96
57.44
811
4.82
60.02
219
2.86
30.00
03.23
50.00
00.00
012
.619
3.51
00.86
178
.223
0.00
015
9.56
211
.623
26.815
0.32
72.22
50.00
189
7.54
997
.273
1751
.815
Total14
521.29
126
60.186
4070
.187
45.827
423.19
727
73.680
40.369
560.61
015
543.44
325
828.74
955
10.632
1102
.325
2231
.359
1948
.791
1739
.492
2289
.463
494.65
833
534.07
931
0.09
199
6.42
810
81.644
1384
.534
2399
.958
6360
.283
1143
.259
7225
.541
167.08
242
631.79
828
2.37
966
70.749
3144
.899
1125
.582
1078
.968
2244
3.34
715
395.79
819
42.633
2311
03.311
Intr
a-In
dian
Oce
an e
xpor
ts b
y va
lue
(in
USD
mill
ions
) by
cou
ntry
200
3
Sour
ce: D
evel
oped
fro
m I
nter
natio
nal M
onet
ary
Fund
Dir
ectio
n of
Tra
de S
tatis
tics
onlin
e
App
endi
xG
Intr
a-In
dian
Oce
anE
xpor
tsby
Val
ue(i
nU
SDM
illio
ns)
byC
ount
ry20
04
AUS
BHR
BGD
COM
DJI
EGY
ERI
ETH
IND
IDN
IRN
IRQ
ISR
JOR
KEN
KWT
MDG
MYS
MDV
MUS
MOZ
MMR
OMN
PAK
QAT
SAU
SYC
SGP
SOM
ZAF
LKA
SDN
TZA
THA
ARE
YEM
Total
AUS
82.139
195.954
0.019
1.488
476.834
0.594
4.998
3994.560
2377.240
111.812
345.699
94.138
88.683
28.873
383.777
3.620
1766.500
14.774
93.959
239.538
20.381
180.754
379.539
89.617
1516.170
2.726
2368.650
0.1581178.200
156.405
141.747
54.522
2233.660
944.525
67.099
19639.352
BHR
0.000
0.000
0.000
24.136
0.000
0.000
93.621
97.945
74.125
0.096
5.150
182.657
83.819
22.098
71.142
31.571
132.931
0.000
0.000
157.126
57.713
72.222
409.505
0.088
67.902
0.010
23.749
33.001
33.385
106.338
79.011
291.675
1.487
2152.503
BGD
13.569
1.695
0.000
0.976
8.702
0.000
1.157
66.147
9.003
34.855
0.000
0.000
1.790
4.451
3.674
0.138
7.739
0.000
0.000
0.911
1.889
0.793
40.455
2.635
17.907
0.000
33.171
0.000
4.886
9.679
19.473
0.367
12.518
20.428
1.689
320.697
COM
0.000
0.000
0.000
0.000
0.212
0.000
0.000
0.000
0.000
0.185
0.000
0.068
0.000
0.106
0.020
0.000
5.688
0.068
0.001
0.001
0.000
6.349
DJI
0.004
0.010
0.000
0.000
0.000
57.653
2.365
0.022
0.000
0.000
0.000
0.008
0.000
0.027
0.002
0.000
0.000
0.677
0.000
0.263
0.000
0.057159.639
0.000
0.000
0.000
0.004
0.074
6.384
13.566
240.755
EGY
26.2
4.174
6.185
0.000
0.000
0.759
27.706
115.629
16.660
19.153
135.397
26.364
274.875
73.789
25.051
10.066
28.022
0.286
17.217
0.000
0.036
26.679
49.620
18.278
385.349
0.000
229.578
0.184
16.744
1.160
189.773
7.911
75.895
197.682
80.687
2087.109
ERI
0.000
ETH
1.406
0.000
0.000
0.000
27.119
2.401
9.454
0.000
0.000
0.000
16.444
0.000
1.061
0.037
0.000
3.450
0.000
0.000
0.000
0.000
3.473
0.000
40.966
0.000
2.291
0.000
0.000
0.000
12.540
0.987
2.029
0.000
15.516
139.174
IND
661.346
134.0891624.820
2.312111.395
409.343
60.361
1251.220
1138.840
115.156
923.455
127.579
368.471
382.847
35.088
970.457
42.466
236.892
76.142
104.705
257.237
450.816
135.0091308.140
10.100
3377.840
45.091
853.7881345.110
255.010
170.209
849.972
6605.000
233.141
24673.447
IDN
1887.360
19.768
281.669
1.077
22.879
197.268
6.120
30.924
2170.510
188.381
43.114
0.000
310.648
34.802
63.407
9.914
3016.050
14.679
35.247
33.694
60.282
20.861
415.896
35.493
418.242
2.333
6001.180
1.124
260.026
238.314
54.611
80.425
1976.240
744.622
64.039
18741.199
IRN
20.653
0.000
15.377
0.000
0.000
16.455
0.000
332.648
64.495
0.000
0.000
8.266
23.801
0.000100.788
234.992
0.009
6.419
0.000
0.000
47.845
247.290
12.426
248.771
0.000
932.627
0.0002356.520
380.679
24.951
5.642
36.457
398.455
7.552
5523.118
IRQ
4.264
0.009
0.000
0.000
1.527
0.000
0.778
64.964
17.461
0.000
58.466
0.000
0.000
0.008
141.332
0.000
0.000
0.000
0.000
0.001
0.422
0.030
0.277
0.000
0.000
0.000
0.110
0.000
0.000
104.186
2.303
0.557
396.695
ISR
381.600
0.300
0.000
0.000
29.200
0.400
14.000
1035.600
11.200
0.000
133.000
47.200
0.000
203.300
7.800
0.000
1.600
0.000
0.000
357.500
0.000
233.900
44.800
0.000
8.800
462.100
0.000
2972.300
JOR
1.658
19.183
1.072
0.000
0.123
29.814
0.616
74.324
249.966
34.531
51.445
621.522
108.900
11.019
53.114
0.002
23.079
0.000
1.044
3.649
0.000
15.518
20.986
23.079
198.993
0.000
2.069
0.955
6.052
3.486
34.008
4.729
7.585
114.598
26.486
1743.605
KEN
6.641
2.301
1.284
4.611
6.619
87.372
2.583
28.013
52.373
6.001
1.585
0.008
11.173
0.460
0.256
3.546
5.470
0.000
7.677
7.214
0.000
0.774
143.469
0.218
18.845
3.058
2.428
41.369
20.838
4.876
70.406
226.350
13.027
30.264
26.951
838.060
KWT
82.786
25.465
580.537
0.000
0.000
78.187
0.533
232.501
969.431
15.961
0.000
26.318
11.508
0.065
61.364
0.234
7.191
0.000
0.000
36.379
909.105
25.714
186.494
0.022
2871.810
0.000
53.025
13.561
9.230
2.042
281.784
185.778
224.279
6891.304
MDG
0.284
0.046
0.000
2.743
0.001
0.500
0.000
6.273
0.492
0.021
0.003
0.000
0.002
0.008
0.000
3.573
0.000
30.823
0.089
0.000
0.000
1.486
0.108
0.074
0.767
26.891
0.000
1.222
1.256
0.069
0.043
3.054
1.138
0.000
80.966
MYS
4153.360
34.637
364.224
0.376
13.383
365.420
0.703
8.885
3002.750
3072.940
345.872
60.337
0.000
343.647
42.904
107.949
9.530
36.382
54.995
16.016
149.348
71.448
701.298
50.302
481.762
4.39418993.800
4.209
478.078
345.002
39.182
23.118
6040.490
1553.450
111.115
41081.306
MDV
0.002
0.000
0.000
0.000
0.458
0.976
0.000
0.000
0.000
0.654
0.000
0.000
0.000
0.000
0.000
0.075
0.000
4.826
0.046
15.127
0.000
28.818
0.015
50.997
MUS
5.064
0.313
1.252
4.342
0.006
0.274
0.039
18.140
0.938
0.037
0.000
1.452
0.090
9.041
0.031
97.790
2.608
0.559
3.309
0.000
0.901
0.737
0.012
0.053
11.855
5.244
0.000
28.168
2.576
0.000
5.878
3.113
28.291
0.000
232.113
MOZ
0.000
0.000
3.880
0.000
0.000
0.000
33.052
5.001
0.000
0.000
0.000
0.000
2.645
0.000
0.000
4.023
0.195
0.000
0.000
1.304
0.000
0.000
0.000
2.231
0.000
193.994
0.000
0.000
2.231
2.455
0.758
0.000
251.769
MMR
12.075
0.745
24.817
0.000
3.968
0.000
363.684
15.835
0.259
0.000
0.000
0.078
0.000
3.089
0.002
97.145
0.015
0.534
1.451
19.169
0.172
0.621
0.000
64.511
0.000
0.205
1.847
0.000
0.000
1230.340
12.887
0.004
1853.453
OMN
1.478
28.179
0.000
0.305
11.270
11.384
2.094
0.000
25.161
0.639
494.510
27.163
0.000
8.464
1.179
51.038
0.155
361.263
0.482
1.592
0.061
0.090
28.109
40.266
146.459
0.000
73.915
23.270
3.719
2.725
4.217
21.275
1323.980
929.753
55.048
3679.243
PAK
125.465
44.090
197.483
4.936
2.222
48.293
0.765
3.547
157.712
57.080
102.710
4.374
0.000
21.233
59.559
75.251
16.415
64.709
1.952
35.513
18.587
2.456
56.054
37.565
335.998
0.202
80.347
3.802
151.501
134.244
15.949
13.806
61.027
982.038
55.823
2972.708
QAT
159.862
36.868
3.508
0.016
17.730
0.036
10.816
1005.760
23.824
60.810
2.936
27.565
10.441
77.543
0.709
14.340
0.000
1.457
9.258
0.000
27.287
116.703
194.033
0.000
1694.830
0.000
77.424
10.588
8.990
1.148
511.710
616.183
12.561
4734.936
SAU
762.8812651.160
148.695
0.000180.3311052.410
22.271
346.322
1027.370
1787.970
389.862
0.000
1469.840
362.022
652.321
7.385
895.630
1.177
46.875
5.235
4.179
234.8951879.470
519.222
78.002
4589.690
7.4442643.650
161.597
428.628
68.944
2112.860
1421.860
317.981
26278.179
SYC
0.715
0.000
0.000
0.000
0.000
0.000
0.000
0.410
0.054
0.024
0.000
0.000
0.039
0.000
0.195
0.577
0.007
6.172
0.000
0.000
0.000
0.000
0.000
0.000
0.705
0.000
4.273
1.299
0.000
0.000
5.429
0.048
0.000
19.947
SGP
6611.900
38.374
742.163
4.225
13.253
129.070
7.437
4174.400
19019.700
533.795
0.000
225.884
35.581
21.606
76.540
43.667
27280.300186.354
99.168
11.482
651.872
86.761
556.913
90.617
322.884
35.252
0.000
474.602
592.319
30.831
12.658
7756.550
1902.670
33.024
71801.852
SOM
0.038
3.783
0.000
0.000
0.724
0.755
0.000
6.651
0.000
0.000
0.000
0.470
1.031
4.595
0.000
0.015
0.000
0.000
0.000
11.346
2.922
0.516
6.373
0.000
0.000
0.000
0.000
0.192
0.009
5.593
94.703
30.035
169.751
ZAF
1020.250
11.921
7.39211.512
6.059
24.767
2.707
37.318
563.385
161.486
53.463
16.356
631.917
13.753
446.909
22.362
88.790
265.217
4.542
267.953
782.099
1.244
25.520
83.831
10.306
222.784
34.226
306.892
0.165
25.131
47.041
339.221
350.646
339.713
16.519
6243.397
LKA
53.881
5.052
13.917
0.000
12.512
0.422
391.508
8.741
57.893
10.843
28.964
31.629
5.399
10.058
2.842
9.036
61.432
3.638
0.000
0.210
2.541
39.454
1.904
31.033
0.184
86.481
0.000
12.003
0.288
1.663
19.408
137.784
0.995
1041.715
SDN
0.020
0.000
14.412
0.000
0.000
108.504
0.000
1.569
27.905
50.637
0.000
0.000
0.000
9.557
2.180
0.736
0.020
0.104
0.000
0.000
0.000
0.000
0.020
7.301
0.600
164.194
0.000
49.694
0.000
0.000
0.000
0.000
10.130
85.527
0.000
533.110
TZA
2.455
0.000
0.000
0.597
0.084
2.768
0.390
0.000
112.325
11.382
0.236
0.000
4.636
0.055
23.076
0.000
3.789
9.951
0.361
2.756
3.139
0.969
1.021
17.371
0.094
1.987
0.221
12.037
0.564
31.850
0.073
0.000
24.492
42.208
0.152
311.039
THA
2459.780
51.416
373.254
2.758
5.662
217.326
11.720
909.884
3207.430
451.686
169.414
563.905
93.917
58.775
93.711
26.500
5295.100
29.446
32.728
41.375
604.882
73.780
434.750
49.476
616.508
3.511
7008.980
12.499
656.006
182.447
26.385
38.992
964.652
91.695
24860.350
ARE
690.716
191.044
197.905
7.323
17.618
172.219
0.000
3592.200
309.4712506.260
0.000
131.996
516.834
332.461
31.968
410.673
60.550
57.432
21.949
0.0001484.020
1611.440
344.9761078.700
8.041
1688.130
21.896
107.585
184.265
217.499
141.577
3373.530
604.243
20114.521
YEM
28.793
0.357
0.648
0.000
10.235
12.848
1.907
4.311
540.259
0.350
2.998
10.731
1.362
0.455
59.417
0.066
29.972
0.000
0.017
0.000
0.000
4.678
6.038
0.724
96.390
0.578
192.701
18.798
113.464
0.330
3.078
0.086
1180.850
108.787
2431.228
Total19176.5063386.818
4800.748
47.136
431.4633541.987
41.945
732.05524315.65132637.6586654.054
1563.149
2637.232
3224.474
2351.743
2563.084
515.36841277.789487.2781188.293
1273.747
1604.143
2825.690
8227.863
1561.581
8449.870
195.56051134.696341.1779985.586
3892.007
1667.483
1338.976
30179.01418764.1792092.244
295108.247
Intr
a-In
dian
Oce
an e
xpor
ts b
y va
lue
(in
USD
mill
ions
) by
cou
ntry
200
4
Sour
ce: D
evel
oped
fro
m I
nter
natio
nal M
onet
ary
Fund
Dir
ectio
n of
Tra
de S
tatis
tics
onlin
e
App
endi
xH
Intr
a-In
dian
Oce
anE
xpor
tsby
Val
ue(i
nU
SDM
illio
ns)
byC
ount
ry20
05
AUS
BHR
BGD
COM
DJI
EGY
ERI
ETH
IND
IDN
IRN
IRQ
ISR
JOR
KEN
KWT
MDG
MYS
MDV
MUS
MOZ
MMR
OMN
PAK
QAT
SAU
SYC
SGP
SOM
ZAF
LKA
SDN
TZA
THA
ARE
YEM
Total
AUS
87.616
179.08
60.00
01.53
326
3.39
70.40
92.59
752
66.280
2757
.120
132.48
721
8.33
212
0.36
368
.931
32.279
359.60
33.19
819
14.750
14.954
77.337
308.400
30.729
176.29
535
9.97
699
.070
1323
.910
3.00
230
43.640
0.08
114
34.590
136.52
816
4.45
730
.822
3144
.190
944.50
314
4.37
522
844.84
0
BHR
0.00
00.00
00.00
027
.577
0.00
00.00
015
5.14
012
5.66
094
.384
0.12
35.49
820
8.70
110
6.72
725
.249
98.325
13.641
156.74
00.00
00.00
020
0.06
940
.070
55.947
520.71
50.10
113
2.99
00.01
147
.175
3.32
316
6.49
112
1.50
010
6.95
337
1.39
16.16
527
90.666
BGD
29.549
2.10
60.00
00.63
511
.669
0.00
01.73
111
8.88
023
.102
46.047
0.00
00.00
01.75
42.92
85.51
60.90
310
.356
0.00
00.00
00.66
11.50
70.66
852
.002
3.191
26.060
0.00
053
.141
0.00
05.58
88.80
99.10
50.33
914
.496
21.118
4.25
745
6.11
8
COM
0.00
00.00
00.00
00.00
00.79
30.00
00.00
00.00
00.00
00.21
10.02
10.00
90.00
00.06
00.77
20.00
03.93
50.28
30.00
10.00
00.00
06.08
5
DJI
0.05
80.01
10.00
00.00
00.00
059
.007
2.96
90.00
00.00
00.00
00.00
00.01
00.00
00.03
10.00
90.06
00.00
00.81
90.00
00.09
30.00
00.11
518
2.40
00.00
00.000
0.18
80.00
40.21
98.12
99.33
426
3.45
6
EGY
10.378
4.76
919
.128
0.00
00.00
00.86
746
.508
183.30
636
.415
24.387
172.40
144
.636
334.64
184
.310
31.898
11.502
33.530
0.35
419
.416
1.65
00.04
233
.970
113.40
842
.910
725.13
60.00
026
0.72
30.21
027
.441
1.57
233
5.86
49.03
958
.611
251.70
910
0.91
030
21.641
ERI
0.00
0
ETH
2.22
20.00
00.00
00.00
053
.119
13.563
9.13
60.00
00.00
00.00
021
.805
0.00
02.43
80.11
10.00
05.80
30.00
00.00
00.00
00.00
02.88
20.00
053
.786
0.00
07.627
0.00
00.00
00.00
020
.011
1.26
11.31
30.00
021
.852
216.92
9
IND
788.88
918
1.47
916
32.110
4.59
720
5.03
960
9.38
868
.816
1361
.730
1190
.160
141.84
311
61.760
168.36
753
3.47
948
6.13
844
.958
1134
.690
62.301
211.14
8123.62
411
0.74
837
0.34
964
1.65
224
0.63
717
08.220
10.543
5177
.530
47.890
1410
.000
1867
.160
314.46
222
3.42
510
22.040
8281
.560
269.03
731
805.76
9
IDN
2227
.610
17.849
353.30
10.58
642
.448
290.48
51.10
644
.409
2878
.350
289.54
085
.486
0.00
015
6.63
542
.801
83.584
21.223
3431
.300
17.280
42.193
23.893
77.990
29.215
634.22
061
.696
524.24
23.42
478
36.590
8.89
631
3.99
933
7.93
077
.794
84.480
2246
.460
906.65
474
.924
2326
8.59
3
IRN
25.665
0.00
021
.293
0.00
00.00
022
.384
0.00
056
0.86
472
.015
0.00
00.00
021
.351
32.376
0.00
013
7.10
231
6.33
80.01
31.81
60.00
00.00
063
.510
329.93
847.440
442.81
70.00
011
66.650
0.00
022
56.580
476.24
151
.173
7.67
537
.220
528.90
84.22
966
23.598
IRQ
0.00
20.01
20.00
00.00
02.07
70.00
01.65
30.13
023
.178
0.00
025
.235
0.00
00.00
00.01
027
.243
0.00
00.00
00.00
00.00
00.00
11.25
70.03
50.33
80.00
00.000
0.30
70.00
00.07
00.00
120
8.61
13.05
60.74
829
3.96
4
ISR
419.10
00.00
00.00
00.00
093
.200
0.50
041
.900
1224
.200
12.900
0.00
011
6.20
048
.800
0.00
012
9.90
06.30
00.00
01.80
00.00
00.00
036
5.50
00.00
027
1.20
036
.800
0.00
08.50
044
8.10
00.00
032
24.900
JOR
2.05
720
.629
1.28
60.00
00.21
245
.467
0.58
836
.790
348.97
413
.521
37.223
735.57
911
8.30
01.25
572
.516
0.00
124
.114
0.09
32.45
20.74
00.00
027
.653
21.769
34.593
252.82
70.00
01.90
80.38
44.33
62.55
743
.637
1.85
76.55
017
1.14
433
.479
2064
.491
KEN
11.381
2.62
90.00
05.26
97.56
399
.829
2.95
223
.409
43.482
8.97
52.01
90.01
118
.636
1.62
40.32
64.05
16.43
40.00
88.72
73.21
80.00
00.98
516
4.71
43.26
27.51
03.49
49.10
647
.268
31.139
6.27
736
.970
258.62
315
.141
38.535
12.361
885.92
8
KWT
180.86
434
.640
1071
.600
0.00
00.00
010
6.35
71.26
838
3.51
211
59.410
21.187
0.00
055
.640
15.654
0.08
824
7.42
01.80
10.76
10.00
00.00
048
.290
1148
.920
42.735
203.05
70.03
033
51.920
0.00
047
.157
7.00
714
.765
2.77
828
2.61
224
6.60
229
0.29
789
66.372
MDG
0.81
20.05
30.00
03.13
40.00
10.57
10.00
012
.761
0.55
90.02
70.00
40.00
00.00
00.01
00.00
01.90
40.00
013
.440
0.00
00.00
00.00
00.85
60.05
00.47
10.87
716
.929
0.00
01.75
10.64
90.33
00.04
93.93
21.44
90.00
060
.619
MYS
4765
.890
41.687
409.37
20.65
121
.810
457.09
00.24
48.46
639
55.040
3322
.330
358.78
423
.564
0.00
011
3.77
351
.854
122.16
013
.356
53.675
60.374
15.212
245.69
681
.005
740.63
295
.954
473.16
56.49
422
009.60
07.27
457
1.54
943
8.41
812
8.08
430
.089
7584
.640
1846
.980
119.02
948
173.94
1
MDV
0.00
20.00
00.00
00.00
01.00
20.09
10.00
00.00
00.00
00.51
30.00
00.00
00.00
00.00
00.00
00.04
50.00
05.74
40.00
016
.157
0.00
022
.409
0.00
345
.966
MUS
3.92
10.00
52.51
83.74
50.20
20.08
80.79
68.72
00.63
00.00
10.00
01.74
90.12
17.02
10.07
011
4.35
03.51
70.38
11.29
00.00
00.29
00.60
00.01
00.11
214
.213
7.42
20.00
026
.711
1.61
80.00
22.67
83.44
816
6.24
00.00
037
2.46
9
MOZ
0.00
00.00
00.13
10.00
00.00
00.00
025
.307
3.05
80.00
00.00
00.00
00.00
02.10
70.00
00.00
03.85
30.57
70.00
00.00
01.48
30.00
00.00
00.00
02.43
00.00
0282.86
70.00
00.10
10.45
210
.994
1.74
50.00
033
5.10
5
MMR
11.107
0.85
129
.345
0.00
04.53
40.00
044
9.13
512
.868
0.32
90.00
00.00
00.26
30.00
03.93
30.00
212
1.51
30.00
00.86
41.84
735
.776
0.82
90.70
90.00
098
.532
0.00
01.21
73.69
70.00
00.00
016
22.980
16.409
0.00
024
16.740
OMN
1.63
138
.332
0.00
00.41
515
.331
15.486
2.84
80.00
017
9.67
90.31
465
6.41
336
.056
0.00
010
.925
1.60
467
.748
0.21
146
3.62
60.27
91.07
60.08
30.12
332
.888
70.220
220.79
90.00
022
5.24
531
.653
123.69
83.26
09.69
328
.940
2197
.560
1234
.150
59.271
5729
.557
PAK
120.37
341
.677
234.35
86.64
83.70
752
.079
0.15
73.31
633
7.38
768
.274
178.35
617
.526
0.00
025
.649
66.434
77.456
28.081
66.630
2.93
334
.114
43.332
2.248
51.522
40.326
354.93
80.36
432
.427
2.98
222
1.77
315
3.73
624
.113
15.421
90.918
1256
.220
58.488
3713
.963
QAT
132.58
245
.643
8.22
30.00
038
.253
0.00
08.33
088
0.04
94.40
40.00
00.35
231
.096
34.640
16.731
1.94
827
.132
0.00
00.08
20.00
00.00
011
.654
206.84
117
3.42
90.00
021
03.820
0.00
015
9.54
717
.017
13.066
7.22
352
0.27
510
50.120
4.50
054
96.957
SAU
1022
.820
3606
.340
265.91
10.00
024
5.30
214
31.580
30.295
545.52
013
98.480
2465
.700
517.50
30.00
022
54.600
492.45
686
5.89
110
.046
1407
.060
1.02
8105.06
62.31
75.68
531
1.79
925
63.130
522.74
510
6.10
681
43.380
10.126
0.00
013
4.39
757
0.42
293
.785
3676
.460
1887
.370
388.49
935
081.81
9
SYC
1.72
20.00
00.00
00.00
00.00
00.00
00.00
00.91
30.16
90.03
10.00
00.00
00.04
40.00
00.22
20.25
90.03
88.68
40.00
00.00
00.00
00.06
80.00
00.00
00.70
80.00
02.77
40.70
90.71
60.00
010
.211
0.06
10.00
027
.329
SGP
8429
.070
170.40
469
5.87
33.15
510
.090
152.30
38.62
058
96.720
2210
9.10
049
3.63
90.00
034
4.71
033
.625
40.973
101.56
140
.617
3040
5.00
019
6.79
212
0.077
9.53
459
6.46
189
.706
646.81
011
6.41
142
4.34
348
.067
0.00
055
0.11
768
1.28
241
.005
12.778
9431
.280
3693
.230
38.550
8563
1.90
3
SOM
0.00
84.32
20.00
00.00
00.82
70.86
20.00
09.57
70.00
10.00
00.00
00.61
11.17
85.85
10.00
02.43
40.00
00.00
00.00
014
.446
4.06
91.47
47.82
40.00
00.00
00.98
80.00
00.29
20.01
07.14
912
0.58
551
.980
234.48
8
ZAF
1412
.180
15.132
10.170
7.49
55.64
138
.597
3.95
925
.570
1182
.310
238.15
812
8.84
512
.015
759.57
525
.127
459.31
629
.189
84.892
236.59
22.44
933
8.01
0994.00
82.70
229
.067
157.44
712
.221
0.00
096
.650
415.28
50.73
328
.548
65.872
418.69
326
9.77
743
7.06
636
.229
7979
.520
LKA
64.593
4.84
115
.767
0.00
014
.478
0.50
356
6.40
925
.159
74.140
20.247
50.950
27.466
4.40
212
.228
2.92
714
.457
27.269
2.50
50.00
02.44
76.41
543
.556
2.948
38.589
0.95
379
.392
0.00
111
.563
0.49
71.71
427
.398
170.28
90.59
013
14.693
SDN
0.00
00.00
019
.686
0.00
00.00
078
.692
2.50
255
.128
30.771
40.077
0.00
00.00
00.00
03.11
52.21
51.55
60.01
10.00
00.00
00.00
00.00
00.00
00.00
018
.078
0.39
813
6.42
50.00
05.83
30.00
00.00
00.00
00.00
05.67
390
.037
10.846
501.04
3
TZA
3.77
30.00
00.00
00.68
20.09
63.16
20.44
60.00
011
1.31
68.30
10.30
00.00
05.72
70.10
226
.366
0.00
04.32
919
.664
0.41
22.38
23.96
51.10
71.30
112
.078
0.13
03.34
20.25
36.19
50.64
438
.682
0.10
40.00
021
.081
53.744
0.08
232
9.76
6
THA
3151
.270
65.867
392.65
52.80
16.90
726
5.81
421
.875
1519
.810
3953
.500
314.75
514
2.87
657
8.69
910
9.84
165
.640
152.40
633
.750
5780
.740
38.325
41.975
42.872
706.63
415
7.69
458
7.90
711
2.19
410
02.550
3.37
276
40.980
1.18
884
0.39
519
3.06
445
.857
37.205
1167
.940
92.528
2927
1.88
6
ARE
296.33
325
9.87
532
1.13
09.96
123
.965
234.26
80.00
039
94.870
311.56
433
26.810
0.00
019
2.51
170
3.04
544
1.30
843
.485
681.81
210
6.50
911
0.57
537
.893
0.00
019
69.880
2381
.810
588.39
214
22.190
10.938
2306
.970
29.785
412.84
426
9.37
435
8.87
319
2.58
651
81.220
823.89
327
044.66
9
YEM
35.676
0.53
20.02
90.00
09.44
222
.377
4.62
16.41
291
0.63
50.23
00.09
921
.163
1.63
00.28
111
7.12
90.02
326
.298
0.00
00.00
00.00
00.00
010
.257
2.06
83.077
128.39
10.03
739
.985
29.152
2.94
60.54
113
.726
0.37
166
6.30
321
2.88
022
66.311
Total23
151.53
846
47.301
5682
.972
49.139
653.87
043
95.627
51.494
1010
.971
3264
8.43
038
135.46
579
10.644
1627
.578
3226
.910
3786
.331
2964
.617
3161.636
626.77
746
643.23
754
0.53
513
66.760
1612
.692
1785
.919
3687
.888
1094
7.78
421
98.895
1017
6.80
530
8.91
864
552.25
240
0.67
890
99.217
4826
.775
2507.636
1592
.299
3894
6.22
425
179.82
726
56.453
3627
62.094
Intr
a-In
dian
Oce
an e
xpor
ts b
y va
lue
(in
USD
mill
ions
) by
cou
ntry
200
5
Sour
ce: D
evel
oped
fro
m I
nter
natio
nal M
onet
ary
Fund
Dir
ectio
n of
Tra
de S
tatis
tics
onlin
e
App
endi
xI
Intr
a-In
dian
Oce
anE
xpor
tsby
Val
ue(i
nU
SDM
illio
ns)
byC
ount
ry20
06
AUS
BHR
BGD
COM
DJI
EGY
ERI
ETH
IND
IDN
IRN
IRQ
ISR
JOR
KEN
KWT
MDG
MYS
MDV
MUS
MOZ
MMR
OMN
PAK
QAT
SAU
SYC
SGP
SOM
ZAF
LKA
SDN
TZA
THA
ARE
YEM
Total
AUS
96.624
140.050
0.017
1.265
314.529
0.706
2.588
6738.870
3327.570
310.633
91.593
133.122
80.151
43.147
406.188
5.178
2078.530
17.237
90.400
237.461
26.082
205.985
234.239
149.365
1675.650
4.513
3459.630
0.146
1743.740
126.845
214.156
24.534
3239.360
1439.260
112.430
26771.794
BHR
1.445
0.000
0.000
34.083
0.000
0.000
191.742
155.128
116.518
0.151
30.994
257.938
131.755
31.206
127.846
16.859
38.664
0.000
0.000
246.986
49.524
110.979
642.825
0.125
321.055
0.014
33.928
4.107
77.946
150.165
194.704
458.483
7.620
3432.790
BGD
29.181
2.603
0.000
0.785
14.422
0.000
2.139
146.927
28.519
56.845
0.000
0.000
1.344
3.618
6.809
1.116
20.740
0.000
0.247
0.000
1.862
0.825
64.271
3.809
32.171
0.000
102.936
0.000
11.644
10.887
16.173
0.419
32.441
26.071
5.261
624.065
COM
0.005
0.000
0.000
0.000
0.980
0.000
0.000
0.000
0.000
0.261
0.000
0.014
0.000
0.074
0.952
0.000
2.504
0.000
0.002
0.039
0.000
4.831
DJI
0.183
0.014
0.000
0.000
0.000
72.928
3.670
0.000
0.000
0.000
0.008
0.012
0.000
0.039
0.377
0.000
0.000
1.012
0.000
0.115
0.000
0.273225.433
0.000
0.000
0.021
0.005
0.039
10.036
11.537
325.702
EGY
12.762
5.894
22.907
0.000
0.000
1.071
57.481
226.552
44.955
30.106
212.829
70.091
444.170
104.200
39.378
14.215
44.488
0.438
25.400
0.000
0.051
41.936
140.164
81.571
895.183
0.000
76.720
0.259
94.685
1.943
389.291
11.171
14.573
310.735
124.718
3539.937
ERI
0.000
ETH
2.815
0.000
0.000
0.000
65.652
16.763
11.291
0.000
0.000
0.000
20.091
10.159
3.013
0.138
0.000
3.516
0.069
0.000
0.000
0.000
3.562
0.000
66.399
0.000
0.286
0.000
3.552
0.000
12.227
1.559
1.861
0.000
27.008
249.961
IND
961.420
224.2941967.800
5.681253.413
753.158
85.052
1681.060
1469.250
175.1061303.000
161.674
659.340
600.139
55.565
1211.980
76.999
449.962
83.772
136.877
457.197
793.034
410.095
2108.800
13.030
4439.730
59.188
1586.360
2307.670
544.582
276.137
1491.020
10223.600
332.510
37358.495
IDN
3233.170
22.439
396.407
0.736
53.365
365.194
1.391
55.830
3618.620
346.634
102.342
79.182
131.914
53.809
100.066
26.681
4501.630
21.724
67.240
26.642
98.048
34.975
797.332
118.674
627.617
4.30513415.400
11.184
437.960
424.841
65.091
106.207
3166.930
1085.440
94.193
33693.213
IRN
29.320
0.000
25.504
0.000
0.000
28.141
0.000
705.110
86.215
0.000
0.000
7.905
40.703
0.000172.362
528.376
0.017
2.163
0.000
0.000
76.033
414.793
48.442
530.136
0.000
1587.950
0.000
2709.900
598.723
42.855
9.648
51.723
633.203
5.317
8334.539
IRQ
115.600
0.015
0.000
0.000
2.611
0.000
2.078
0.156
27.748
0.000
6.599
0.000
0.000
0.013
34.678
0.000
0.000
0.000
0.000
0.001
1.581
0.060
0.405
0.000
0.000
154.900
0.000
0.000
0.001
300.224
3.659
0.941
651.270
ISR
437.200
1.500
0.000
0.000
125.800
0.000
10.600
1270.400
12.800
0.000
136.800
49.600
0.000
67.800
3.800
0.000
0.600
0.000
0.000
410.300
0.000
329.300
45.000
0.000
18.700
420.200
0.000
3340.400
JOR
1.043
23.058
5.050
0.000
0.806
56.018
0.785
3.635
396.850
21.576
65.692
634.393
132.531
8.560
97.264
0.014
44.897
0.085
2.431
2.875
0.000
21.718
7.143
52.810
396.683
0.032
0.572
0.578
7.302
2.084
54.507
1.530
5.449
291.388
36.167
2375.526
KEN
12.162
3.249
0.000
6.512
9.347
123.381
3.648
28.932
53.741
11.080
2.492
0.013
16.455
1.343
0.403
5.007
11.013
0.010
12.050
2.817
0.000
1.216
203.574
1.531
9.271
4.318
9.842
58.420
23.866
7.757
36.227
319.638
13.201
47.572
15.277
1055.365
KWT
164.648
43.548
1281.820
0.000
0.000
133.711
1.594
482.146
1388.030
25.364
0.000
31.986
19.680
0.111
279.406
2.264
0.526
0.000
0.000
57.812
1444.410
78.284
243.098
0.038
4098.460
0.000
21.549
8.809
28.046
3.493
258.702
295.229
364.957
10757.721
MDG
0.383
0.065
0.000
3.874
0.001
0.706
0.000
15.772
0.690
0.033
0.004
0.000
0.019
0.012
0.001
0.425
0.000
13.712
0.000
0.000
0.000
1.058
0.025
0.582
1.083
19.118
0.000
1.933
0.802
0.345
0.061
3.401
1.789
0.000
65.894
MYS
4553.360
54.561
422.217
0.865
32.969
342.000
0.105
12.476
5128.620
4074.020
441.387
27.667
0.000
150.182
78.324
159.935
11.307
67.168
79.206
23.803
165.025
99.813
842.869
186.414
530.310
9.82224743.900
6.224
667.825
534.135
51.554
68.109
8501.780
2269.740
262.389
54600.081
MDV
0.642
0.000
0.000
0.000
1.238
0.112
0.000
0.275
0.000
0.381
0.000
0.000
0.000
0.000
0.000
0.055
0.031
2.894
0.000
19.969
3.301
55.305
0.004
84.207
MUS
3.951
0.070
3.357
4.270
0.000
0.124
0.530
12.371
2.124
0.026
0.000
2.789
0.067
4.359
0.097103.869
7.178
0.046
1.111
0.008
4.216
0.734
0.000
0.065
14.967
4.567
0.000
46.918
0.670
0.000
1.225
5.167
247.773
0.000
472.649
MOZ
0.000
0.000
0.000
0.000
0.000
0.000
30.197
13.083
0.000
0.000
0.000
0.000
1.403
0.000
0.000
9.023
0.000
0.000
0.000
6.255
0.000
0.000
0.000
3.494
0.000
361.707
0.000
0.000
4.522
3.648
3.523
0.000
436.855
MMR
15.921
1.052
33.282
0.000
5.603
0.000
555.097
15.886
0.407
0.000
0.182
0.311
0.000
4.856
0.002
113.533
0.000
1.073
2.280
44.216
1.788
0.876
0.000
63.180
0.000
2.906
4.569
0.000
0.000
2135.720
20.257
0.000
3022.997
OMN
2.087
48.191
0.000
0.522
19.274
19.469
3.581
0.000
225.890
0.376
785.850
43.166
0.000
13.112
2.017
81.107
0.266
804.097
0.351
8.962
0.104
0.155
41.347
109.950
264.338
0.000
204.703
39.794
1821.410
4.099
27.555
36.383
2517.690
1477.510
74.514
8677.870
PAK
116.309
51.509
261.726
8.217
4.582
64.365
0.194
4.098
416.986
84.285
220.181
21.636
0.000
20.704
82.108
95.619
34.707
53.952
3.625
35.536
31.755
2.778
63.604
47.263
438.172
0.450
41.817
3.685
132.312
190.006
30.955
19.059
92.160
1550.810
72.287
4297.452
QAT
200.846
51.907
30.201
0.000
20.550
0.000
12.332
1647.030
24.332
0.000
0.706
43.896
23.052
20.126
0.203
54.154
0.000
0.022
0.000
0.000
13.085
374.030
216.214
0.000
3208.740
0.041
133.357
44.247
10.739
23.247
930.346
1318.210
3.871
8405.484
SAU
946.4804533.840
316.951
0.000308.3911799.770
38.087
685.819
1758.150
2951.920
619.549
0.000
2668.270
619.1081036.640
12.630
2117.990
1.293
114.572
1.686
7.148
373.282
3222.320
762.952
133.395
8448.600
12.730
3598.540
168.962
590.300
117.905
3873.360
2259.540
488.415
44588.595
SYC
2.540
0.000
0.000
0.000
0.000
0.000
0.000
1.128
0.209
0.038
0.000
0.000
0.055
0.000
0.275
0.477
0.047
29.730
0.000
0.000
0.000
0.084
0.000
0.000
2.353
0.000
2.221
0.877
0.827
0.000
2.687
0.076
0.000
43.624
SGP
10186.400
55.619
931.887
3.370
13.023
291.790
8.288
7672.860
24901.300
456.399
0.000
357.303
42.870
48.716
120.921
35.505
35537.200196.629
96.861
13.562
563.277
99.675
771.387
181.548
743.751
54.502
0.000
1046.880
921.643
29.376
19.063
11312.700
3193.860
49.887
99958.052
SOM
0.035
5.341
0.000
0.000
1.022
1.066
0.000
11.837
0.002
0.000
0.000
0.518
1.456
7.223
0.000
0.000
0.000
0.000
0.000
17.834
5.029
2.210
9.659
0.000
0.000
0.000
0.000
0.536
0.012
4.292
148.863
64.243
281.178
ZAF
1190.720
11.932
25.669
8.332
16.476
31.779
4.352
33.905
782.175
210.609
212.486
32.344
665.859
23.000
476.778
23.238
72.623
347.001
3.141
289.044
909.696
0.000
50.352
160.750
21.426
294.633
72.838
492.403
0.449
22.791
63.137
400.363
266.151
552.387
33.858
7802.697
LKA
69.991
5.983
17.899
0.000
17.894
0.622
700.040
31.059
91.526
24.995
32.182
18.042
5.441
15.096
3.618
19.772
33.703
2.250
0.000
3.024
7.919
53.832
6.481
47.639
1.178
48.115
0.001
15.223
0.000
2.119
24.859
210.222
0.730
1511.455
SDN
0.012
0.000
22.393
0.000
0.000
97.258
3.092
68.134
38.031
49.475
0.000
0.000
0.000
2.638
2.738
1.921
0.014
0.208
0.710
0.001
0.000
0.000
0.000
22.343
1.086
168.417
0.000
15.389
0.000
0.345
0.000
0.000
2.933
111.151
13.405
621.694
TZA
8.155
0.000
1.044
0.843
0.118
3.908
0.551
0.000
137.578
10.248
0.370
0.000
6.273
0.077
32.586
0.000
5.351
33.661
0.510
1.118
7.612
1.369
1.606
14.927
1.793
4.126
0.312
3.343
0.796
42.971
0.128
0.000
15.545
66.347
0.101
403.367
THA
4379.130
79.250
469.773
2.319
14.055
379.737
29.781
1822.020
3335.960
565.820
198.920
587.148
148.166
72.222
193.221
20.358
6655.950
58.764
48.321
33.731
761.729
232.859
651.776
194.270
1253.410
8.553
8411.190
5.189
1100.960
296.535
89.521
49.027
1485.920
124.759
33760.344
ARE
947.089
326.711
364.25712.523
30.129
294.519
0.000
5022.300
373.0023982.820
0.000
195.385
883.858
528.329
54.669
880.849133.901
94.877
53.926
0.0002358.320
2994.370
900.737
1702.640
13.751
3799.850
37.446
570.003
338.654
404.245
242.117
6562.300
1035.790
35139.367
YEM
75.560
0.658
0.027
0.000
11.669
27.656
5.711
7.925
1125.480
0.284
0.122
26.125
3.824
0.347
144.597
0.029
47.342
0.000
0.071
0.000
0.000
12.663
2.556
1.386
158.499
0.045
13.429
36.030
0.000
0.668
0.000
0.459
1075.920
262.802
3041.884
Total27699.1205648.427
6743.166
58.081
836.3425366.005
63.274
1184.689
40953.77742836.0659828.296
1591.990
3406.208
4376.128
3578.475
3815.067
667.19455638.470635.5211508.322
1430.553
1768.033
4482.192
13364.5963474.949
13062.691337.28877452.743497.60716704.1976087.421
2780.212
1910.181
46576.43030005.4603362.185
439731.355
Intr
a-In
dian
Oce
an e
xpor
ts b
y va
lue
(in
USD
mill
ions
) by
cou
ntry
200
6
Sour
ce: D
evel
oped
fro
m I
nter
natio
nal M
onet
ary
Fund
Dir
ectio
n of
Tra
de S
tatis
tics
onlin
e
App
endi
xJ
Intr
a-In
dian
Oce
anE
xpor
tsby
Val
ue(i
nU
SDM
illio
ns)
byC
ount
ry20
07
AUS
BHR
BGD
COM
DJI
EGY
ERI
ETH
IND
IDN
IRN
IRQ
ISR
JOR
KEN
KWT
MDG
MYS
MDV
MUS
MOZ
MMR
OMN
PAK
QAT
SAU
SYC
SGP
SOM
ZAF
LKA
SDN
TZA
THA
ARE
YEM
Total
AUS
111.24
717
5.05
10.05
12.01
031
9.85
50.71
92.12
682
79.130
3346
.840
160.45
46.77
213
8.08
763
.714
51.329
477.75
36.35
726
53.490
21.157
82.511
271.63
130
.478
295.76
734
4.64
516
4.53
317
76.450
10.932
3296
.720
0.25
318
93.530
116.83
313
1.78
024
.422
3666
.090
2632
.760
103.17
930
658.65
6
BHR
1.79
40.00
00.00
042
.297
0.00
00.00
023
7.95
120
0.95
515
0.93
90.19
668
.305
320.10
017
0.67
838
.726
111.70
620
.922
47.982
0.00
00.00
031
9.95
061
.459
143.76
483
2.72
70.15
522
8.57
30.01
735
.498
5.09
654
.391
186.35
411
8.56
559
3.92
79.45
640
02.483
BGD
30.025
3.23
10.00
00.97
517
.898
0.00
02.65
418
2.33
536
.945
73.638
0.00
00.09
12.03
24.49
08.82
11.38
429
.384
0.00
00.30
60.00
02.31
11.06
979
.760
4.934
41.675
0.00
076
.966
0.00
024
.332
13.511
14.209
0.52
013
.061
33.773
6.52
970
6.85
9
COM
0.00
00.00
00.00
00.00
01.21
60.00
00.00
00.00
00.00
00.32
40.09
60.01
70.00
00.09
21.23
40.00
02.78
60.00
00.00
20.00
10.00
05.76
8
DJI
0.16
00.01
70.00
00.00
00.00
090
.504
4.55
40.00
00.00
00.00
00.00
00.01
50.00
00.04
81.95
90.00
00.00
01.25
60.00
00.14
80.00
00.62
127
9.76
00.00
00.000
0.28
20.00
60.00
013
.000
14.317
406.64
7
EGY
14.497
7.31
528
.427
0.00
00.00
01.33
071
.333
281.15
058
.235
39.000
275.70
385
.273
536.99
012
9.31
251
.011
17.641
77.768
0.54
431
.522
0.00
00.06
454
.325
173.94
310
5.66
811
59.640
0.00
060
.043
0.32
229
.195
2.41
144
8.15
513
.863
6.40
040
2.53
215
4.77
443
18.386
ERI
0.00
0
ETH
3.58
90.00
00.00
00.00
081
.473
20.803
14.012
0.00
00.00
00.00
023
.636
11.928
3.74
00.17
80.00
02.12
90.08
60.00
00.00
00.00
04.42
00.00
086
.015
0.00
02.77
70.00
04.48
10.00
014
.509
1.93
51.04
30.00
033
.516
310.27
0
IND
1181
.940
278.34
824
42.030
7.05
131
4.48
493
4.66
410
5.54
921
77.670
1903
.290
226.83
515
35.550
275.04
081
8.23
777
7.43
068
.956
1872
.980
95.556
558.400
103.96
116
9.86
359
2.26
198
4.15
053
1.24
427
31.780
16.170
5335
.490
73.452
1776
.420
2863
.800
496.81
834
2.68
418
95.470
1324
3.80
041
2.64
347
144.01
6
IDN
4019
.180
27.070
478.21
80.88
864
.378
440.56
31.67
867
.353
4365
.430
408.89
912
0.72
680
.727
109.04
564
.914
118.04
032
.187
5666
.620
26.207
81.118
32.141
118.28
341
.258
961.88
713
9.99
174
0.35
35.19
413
324.80
013
.492
634.75
851
2.52
071
.936
128.12
636
59.470
1280
.410
113.63
237
951.49
2
IRN
30.111
0.00
030
.767
0.00
00.00
033
.949
0.00
085
0.63
110
1.70
20.00
00.00
06.73
549
.103
0.00
020
7.93
438
8.88
20.02
02.61
00.00
00.00
089
.691
500.39
857.143
625.36
20.00
012
23.000
0.00
029
56.520
722.28
844
.964
11.640
79.582
746.94
36.41
487
66.389
IRQ
13.762
0.01
80.00
00.00
03.15
00.00
02.50
70.18
432
.733
0.00
011
.242
0.00
00.00
00.01
542
.840
0.00
00.00
00.00
00.00
00.00
21.90
70.07
10.47
80.00
00.000
257.90
80.00
00.00
00.00
156
.756
4.31
61.13
542
9.02
5
ISR
519.90
00.00
00.00
00.00
015
3.40
00.20
012
.000
1613
.200
17.400
0.00
025
0.30
097
.200
0.00
070
.100
10.000
0.00
01.30
00.00
00.00
041
5.60
00.00
039
3.100
60.200
0.00
015
.100
457.40
040
86.400
JOR
1.68
044
.954
2.04
50.00
30.97
472
.974
0.62
611
.505
459.00
631
.194
33.051
712.29
215
8.52
67.39
671
.867
0.63
154
.176
0.09
80.81
62.06
30.00
022
.951
33.724
58.799
414.38
30.00
03.40
60.50
96.92
31.71
254
.296
3.07
16.10
642
9.63
142
.798
2744
.186
KEN
13.192
4.03
20.00
08.08
111
.600
153.11
54.52
735
.904
66.692
14.353
3.22
80.01
719
.818
1.90
70.52
26.21
411
.380
0.01
214
.955
3.49
60.00
01.57
625
2.63
41.98
312
.010
5.35
98.89
872
.498
28.235
9.62
752
.027
396.66
912
.743
61.626
18.959
1307
.889
KWT
210.76
252
.536
1546
.360
0.00
00.00
016
1.30
61.92
358
1.65
216
37.360
29.921
0.00
012
4.17
023
.741
0.13
454
6.99
02.73
20.63
40.00
00.00
068
.196
1742
.510
92.346
286.76
40.04
646
24.630
0.00
01.13
210
.627
15.591
4.21
414
7.83
734
8.25
944
0.27
712
702.65
0
MDG
0.47
00.08
10.00
04.80
80.00
10.87
60.00
019
.573
0.89
40.04
30.00
60.00
00.44
70.01
50.00
11.27
50.00
017
.016
0.00
00.00
00.00
01.31
30.03
20.75
41.34
520
.748
0.00
05.87
60.99
60.32
70.07
62.44
02.31
80.00
081
.731
MYS
5938
.700
61.399
406.65
31.62
079
.311
476.90
51.42
212
.682
5884
.090
5171
.300
617.69
820
.477
0.00
687
.352
101.91
616
8.17
523
.234
112.41
084
.042
35.410
210.50
415
1.60
412
57.200
292.20
271
6.05
010
.993
2577
1.50
015
.405
809.79
037
1.40
652
.934
123.28
887
29.710
2947
.500
220.71
060
965.59
8
MDV
0.81
10.00
00.00
00.00
01.53
70.14
50.00
00.34
10.00
00.24
30.00
00.00
00.00
00.00
00.00
00.07
20.03
92.11
80.00
024
.781
4.09
646
.072
0.00
580
.260
MUS
2.71
80.08
64.16
65.29
90.00
00.15
40.65
815
.352
2.75
20.03
40.00
01.45
50.05
45.40
90.12
612
8.90
16.20
10.05
71.37
90.01
05.46
20.91
10.00
10.08
518
.573
9.96
50.00
062
.199
0.83
10.26
41.52
15.61
932
0.97
00.00
060
1.21
2
MOZ
0.93
00.00
00.00
00.00
00.00
00.00
037
.474
16.948
0.00
00.00
00.00
00.53
51.74
10.00
00.00
01.39
20.00
00.00
00.00
07.76
20.00
00.00
00.00
02.51
60.00
033
6.01
10.00
00.00
05.61
29.84
34.56
40.04
542
5.37
3
MMR
19.765
1.30
541
.303
0.00
06.95
40.00
068
8.87
220
.578
0.52
70.00
00.72
70.78
90.00
06.29
00.00
312
6.63
80.00
01.33
22.95
454
.872
2.31
61.13
40.00
055
.615
0.00
014
.387
5.67
00.00
00.00
021
04.890
26.242
0.00
031
83.163
OMN
3.30
558
.136
0.00
00.63
023
.252
23.487
4.32
00.00
027
2.51
00.44
392
7.00
950
.920
0.00
014
.478
2.43
395
.676
0.32
142
5.90
30.42
410
.811
0.12
50.18
649
.880
129.70
031
1.82
00.00
023
5.84
748
.007
417.68
14.94
413
.100
43.892
2381
.900
1742
.910
89.892
7383
.942
PAK
127.09
563
.923
324.80
110
.197
5.68
679
.877
0.24
15.08
651
7.47
610
9.18
428
5.22
628
.027
0.00
019
.158
101.89
512
3.86
743
.071
75.693
4.49
944
.100
39.408
3.44
882
.394
61.225
567.61
60.55
848
.485
4.57
413
6.57
823
5.79
636
.191
23.652
62.469
2008
.950
89.708
5370
.154
QAT
221.12
762
.619
36.433
0.00
024
.791
0.00
014
.878
1986
.940
28.703
0.00
00.83
37.40
627
.810
23.742
0.24
521
.537
0.00
00.02
70.00
00.00
015
.436
451.22
3255.05
20.00
038
08.450
0.05
010
5.93
153
.379
28.105
28.045
1874
.850
1555
.000
4.67
010
637.28
2
SAU
789.42
354
69.540
382.36
40.00
037
2.03
721
71.210
45.947
827.36
021
21.000
3482
.150
730.83
60.00
025
88.950
746.88
112
22.840
15.236
1796
.860
1.55
9138.21
82.03
48.62
344
0.33
438
87.350
899.99
816
0.92
580
12.160
15.358
3623
.740
203.83
259
5.10
914
2.23
841
98.570
2665
.410
589.21
548
347.30
7
SYC
3.55
40.00
00.00
00.00
00.00
00.00
00.00
01.40
00.27
00.04
90.00
00.00
00.06
80.00
00.34
10.06
70.05
836
.895
0.00
00.00
00.00
00.10
50.00
00.00
01.78
10.00
06.19
71.08
81.09
10.00
05.01
40.09
80.00
058
.076
SGP
1119
0.90
053
.677
936.34
95.48
69.10
433
0.72
616
.148
1000
0.20
029
466.80
053
4.02
70.00
046
4.23
954
.777
48.130
249.09
847
.919
3862
6.30
023
6.89
311
5.49
531
.244
778.02
912
5.11
984
6.48
125
1.56
583
8.27
752
.832
0.00
073
3.23
283
6.49
327
.173
27.790
1239
0.30
034
85.920
51.026
1128
61.749
SOM
0.15
56.62
90.00
00.00
01.26
81.32
30.00
014
.689
0.00
20.00
00.00
00.42
41.80
79.35
70.00
00.00
00.00
00.00
00.00
023
.102
6.24
12.86
312
.513
0.00
00.000
0.00
00.00
00.17
30.01
53.07
319
2.84
079
.726
356.20
0
ZAF
1276
.800
22.593
19.825
12.067
10.105
66.841
6.28
834
.030
1350
.640
222.94
621
3.31
147
.902
854.43
212
.713
643.46
340
.083
162.95
640
7.00
03.04
327
0.12612
67.710
0.00
039
.820
220.93
437
.396
336.38
958
.290
359.26
81.11
825
.491
92.818
382.60
043
1.17
771
0.49
928
.656
9669
.330
LKA
77.565
7.42
522
.212
0.00
022
.206
0.77
186
8.74
440
.235
118.56
432
.379
33.636
16.589
6.75
219
.555
4.49
029
.230
41.825
2.79
20.00
03.75
310
.259
66.805
8.39
661
.712
1.46
263
.211
0.00
119
.727
0.00
02.62
933
.279
272.32
60.90
518
89.435
SDN
0.00
70.00
021
.913
0.00
00.00
080
.716
3.20
127
.472
33.901
62.483
0.00
00.00
00.00
06.79
91.97
72.10
00.04
70.07
30.40
80.00
10.00
00.00
00.00
050
.354
0.81
414
6.88
00.00
00.23
90.00
00.81
20.00
00.00
00.66
910
4.29
415
.804
560.96
4
TZA
6.16
80.00
01.29
51.04
70.14
74.85
00.68
40.00
017
0.73
413
.275
0.48
00.00
06.45
50.08
540
.439
0.00
06.64
034
.102
0.63
31.38
79.44
71.69
82.08
018
.525
2.32
35.34
50.38
73.80
30.98
851
.951
0.15
90.00
010
.698
85.947
0.12
548
1.89
7
THA
5725
.850
96.322
510.99
83.94
115
.386
479.41
741
.247
2664
.120
4767
.770
775.23
720
2.91
570
0.88
917
3.90
310
5.22
622
5.12
032
.649
7792
.170
55.274
65.331
63.216
958.76
028
0.87
566
1.91
321
6.07
913
68.830
5.98
595
34.630
1.09
613
22.180
273.55
087
.422
84.731
2206
.570
208.38
741
707.98
9
ARE
1509
.790
394.13
843
9.43
315
.108
36.347
355.30
20.00
060
58.810
440.00
246
98.240
0.00
026
1.19
510
66.270
623.23
165
.952
1175
.630
161.53
611
4.45
865
.056
0.00
027
81.930
3612
.360
1062
.530
2008
.470
16.589
4174
.840
45.174
690.51
840
8.54
543
6.70
029
2.08
562
70.990
1249
.550
4053
0.77
9
YEM
0.00
90.81
60.03
40.00
014
.481
34.321
7.08
89.83
413
96.710
0.36
80.15
833
.843
48.784
0.43
118
7.31
30.03
626
.128
0.00
10.08
90.00
00.00
016
.403
3.17
31.79
620
5.32
30.05
656
.807
44.713
141.89
10.82
90.00
00.56
913
08.150
340.43
838
80.592
Total32
933.94
068
27.457
7852
.471
76.277
1043
.019
6513
.930
78.271
1391
.017
5104
4.23
851
470.08
611
736.59
217
59.843
4103
.547
4755
.846
4472
.581
4672
.874
912.59
262
076.94
278
5.86
817
33.077
1928
.321
2287
.310
5464
.818
1634
0.18
742
69.712
1554
5.34
136
5.89
080
766.29
361
6.78
716
520.73
367
66.415
2770
.365
2291
.446
4999
0.23
738
463.77
839
86.048
5046
14.149
Intr
a-In
dian
Oce
an e
xpor
ts b
y va
lue
(in
USD
mill
ions
) by
cou
ntry
200
7
Sour
ce: D
evel
oped
fro
m I
nter
natio
nal M
onet
ary
Fund
Dir
ectio
n of
Tra
de S
tatis
tics
onlin
e
Appendix KIndian Ocean Shipping Fleets
No GT Age No GT Dwt Age No GT Age
1 Australia 696 1,911,160 23 169 1,351,433 1,541,588 22 527 559,727 23
2 Bahrain 182 325,126 20 16 222,459 317,294 31 166 102,667 19
3 Bangladesh 320 440,517 32 219 412,485 608,397 33 101 28,032 30
4 Comoros 264 755,304 31 184 675,289 964,547 32 80 80,015 26
5 Djibouti 15 4,104 27 1 500 50 27 14 3,604 27
6 Egypt 344 1,113,268 26 122 983,828 1,484,097 25 222 129,440 27
7 Eritrea 14 14,478 19 6 13,087 15,717 34 8 1,391 9
8 Ethiopia 10 122,729 17 10 122,729 159,314 17
9 India 1417 9,168,046 18 652 8,407,884 14,348,787 15 765 760,162 20
10 Indonesia 4469 5,669,830 21 2464 5,145,628 6,806,563 24 2002 524,202 18
11 Iran 508 3,576,860 22 243 3,430,445 5,884,213 19 265 146,415 26
12 Iraq 89 159,118 34 21 87,060 132,291 28 68 72,058 35
13 Israel 51 728,130 19 22 717,373 846,536 17 29 10,757 21
14 Jordan 28 368,722 26 27 368,546 508,158 26 1 176 29
15 Kenya 36 15,110 26 12 7,318 10,410 35 24 7,792 22
16 Kuwait 212 2,426,799 24 61 2,389,287 3,954,784 20 151 37,512 25
17 Madagascar 106 35,363 29 32 22,365 29,466 39 74 12,998 24
18 Malaysia 1151 6,974,618 16 556 6,360,309 8,618,250 20 595 614,309 13
19 Maldives 94 125,545 28 76 115,981 159,934 29 18 9,564 24
20 Mauritius 43 39,733 27 4 13,556 11,821 18 39 26,177 28
21 Mozambique 129 37,914 27 7 5,223 9,968 36 122 32,691 27
22 Myanmar 118 203,219 27 51 179,798 226,039 25 67 23,421 29
23 Oman 36 24,132 16 12 16,157 10,260 22 24 7,975 12
24 Pakistan 53 348,964 24 17 326,386 538,056 27 36 22,578 23
25 Qatar 84 619,535 15 22 568,095 852,373 15 62 51,440 15
26 Saudi Arabia 311 942,204 23 74 822,932 1,028,012 28 237 119,272 22
27 Seychelles 54 182,643 19 16 138,821 213,409 19 38 43,822 19
28 Singapore 2257 36,251,735 10 1317 34,965,786 54,378,645 11 940 1,285,949 8
29 Somalia 18 9,912 35 5 5,022 6,259 44 13 4,890 32
30 South Africa 250 192,585 31 6 28,066 30,615 31 244 164,519 31
31 Sri Lanka 85 163,283 26 36 144,503 204,950 26 49 18,780 26
32 Sudan 19 25,904 30 6 22,640 28,009 38 13 3,264 26
33 Tanzania 53 38,138 30 34 33,216 40,296 32 19 4,922 27
34 Thailand 858 2,846,939 26 633 2,740,045 4,186,416 26 225 106,894 23
35 United Arab Emirates 446 807,218 21 142 635,453 877,174 21 304 171,765 22
36 Yemen 47 29,169 25 6 16,171 22,973 37 41 12,998 23
Total 14867 76,698,054 24 7,281 71,495,876 109,055,671 26 7583 5,202,178 23
World total 94936 721,855,399 22 50214 687,980,619 1,014,553,957 20 44722 33,874,780 24
% of world total 15.7% 10.6% 14.5% 10.4% 10.7% 17.0% 15.4%
S. no. RegistrationTotal Cargo carrying ships
Ships of
miscellaneous
activities
Shipping fleets by country of registration 31 December 2007
Source: Developed from Lloyds Register Fairplay – World Fleet Statistics 2007
357
358 Appendix K
Shipping fleets by nationality of owner 1000 GT and above 31 December 2007
No GT Age No GT Dwt Age No GT Age
1 Australia 85 1,783,475 15 65 1,426,914 1,456,748 14 20 356,561 17
2 Bahrain 11 53,095 34 3 42,963 59,771 33 8 10,132 34
3 Bangladesh 47 403,973 25 46 400,747 566,499 25 1 3,226 16
4 Comoros
5 Djibouti
6 Egypt 144 1,096,390 25 115 1,030,733 1,344,798 26 29 65,657 22
7 Eritrea 4 11,126 31 4 11,126 12,757 31
8 Ethiopia 9 117,747 17 9 117,747 149,990 17
9 India 538 9,736,879 17 393 9,134,045 15,587,451 16 145 602,834 19
10 Indonesia 850 5,331,002 23 818 5,225,610 7,192,815 23 32 75,392 21
11 Iran 179 5,900,355 16 156 5,826,769 10,191,362 14 23 73,586 27
12 Iraq 26 118,607 31 14 83,559 126,546 26 12 35,048 37
13 Israel 72 2,007,371 18 70 2,004,897 2,585,618 17 2 2,474 33
14 Jordan 26 482,175 28 26 482,175 685,765 28
15 Kenya 7 18,936 37 7 18,936 22,070 37
16 Kuwait 69 3,402,004 16 67 3,396,810 5,295,131 16 2 5,194 3
17 Madagascar 8 12,336 39 8 12,336 17,046 39
18 Malaysia 393 8,877,388 16 297 8,533,087 10,669,378 16 96 344,301 15
19 Maldives 19 81,596 31 18 80,165 106,666 30 1 1,431 42
20 Mauritius 1 2,709 25 1 2,709 3,357 25
21 Mozambique 2 3,420 4 2 3,420 4
22 Myanmar 29 141,375 21 23 132,602 159,200 21 6 8,773 19
23 Oman 17 161,521 8 3 130,763 84,526 11 14 30,758 8
24 Pakistan 33 641,028 26 30 631,118 1,044,254 27 3 9,910 17
25 Qatar 33 458,932 7 13 420,962 570,115 3 20 37,970 10
26 Saudi Arabia 165 7,228,610 15 112 7,142,775 12,867,337 16 53 85,835 12
27 Seychelles 4 93,045 2 4 93,045 152,987 2
28 Singapore 869 17,742,911 15 717 17,160,420 27,805,450 16 152 582,491 10
29 Somalia
30 South Africa 34 214,667 24 7 108,299 166,297 12 27 106,368 27
31 Sri Lanka 21 119,389 25 18 115,425 171,858 26 3 3,964 24
32 Sudan 3 21,311 35 3 21,311 26,179 35
33 Tanzania 8 22,678 35 8 22,678 29,088 35
34 Thailand 342 2,694,242 23 322 2,657,087 4,007,848 23 20 37,155 24
35 United Arab Emirates 425 6,453,382 21 346 6,256,971 8,761,847 21 79 196,411 22
36 Yemen 17 134,301 29 17 134,301 218,307 29
Total 4490 75,567,976 22 3740 72,859,085 112,139,061 22 750 2,678,891 20
World total 39209 703,263,146 22 33730 680,847,086 1,003,865,069 21 5479 22,416,060 23
% of world total 11.5% 10.7% 11.1% 10.7% 11.2% 13.7% 12.0%
S. no.Total Cargo carrying ships
Ships of
miscellaneous
activitiesRegistration
Source: Developed from Lloyds Register Fairplay – World Fleet Statistics 2007
Appendix K 359
No
GT
Ag
eN
oG
T A
ge
No
GT
Ag
eN
oG
TA
ge
No
GT
Ag
eN
oG
TA
ge
No
GT
Ag
e
Au
stra
lia62
21,
887,
808
1962
41,
861,
321
2264
31,
905,
778
2165
21,
971,
876
2267
11,
794,
928
2267
21,
852,
796
2369
21,
911,
160
23
Eg
ypt
364
1,35
0,44
923
361
1,27
4,99
025
346
1,15
1,43
025
341
1,14
3,20
125
344
1,12
8,71
225
348
1,14
1,72
926
344
1,11
3,26
826
Ind
ia10
186,
688,
153
1710
106,
142,
073
1810
286,
960,
567
1810
667,
517,
583
1810
968,
065,
009
1911
818,
381,
185
1914
179,
168,
046
18
Ind
on
esia
2528
3,61
3,13
924
2628
3,72
3,05
226
2700
3,84
0,40
825
2826
4,07
2,14
426
3214
4,33
0,40
725
4271
5,28
7,14
822
4469
5,66
9,83
021
Iran
389
3,94
3,57
620
380
4,12
8,38
922
382
4,85
1,92
720
430
5,32
4,25
421
453
5,27
0,59
922
475
5,20
7,27
622
508
3,57
6,86
022
Ku
wai
t20
02,
291,
672
2320
12,
255,
972
2420
82,
324,
290
2321
32,
377,
628
2322
22,
315,
680
2322
02,
156,
836
2421
22,
426,
799
24
Mal
aysi
a88
25,
207,
136
1691
55,
394,
356
1797
25,
745,
771
1710
136,
056,
561
1710
525,
758,
729
1611
016,
389,
000
1611
516,
974,
618
16
Sau
di A
rab
ia27
41,
132,
533
2228
01,
472,
135
2328
51,
363,
912
2229
21,
678,
474
2330
01,
028,
103
2330
41,
021,
845
2331
194
2,20
423
Sin
gap
ore
1729
21,0
22,6
0411
1768
21,1
48,0
9012
1761
23,2
40,9
4511
1842
26,2
82,7
7711
1977
30,9
89,7
8611
2079
32,1
73,9
2211
2257
36,2
51,7
3510
Th
aila
nd
568
1,77
1,38
224
629
1,87
9,58
125
671
2,26
8,68
624
751
2,88
9,87
724
789
3,02
5,33
225
789
2,88
2,70
325
858
2,84
6,93
926
Tota
l85
7448
,908
,452
2087
9649
,279
,959
2189
9653
,653
,714
2194
2659
,314
,375
2110
118
63,7
07,2
8521
1144
066
,494
,440
2112
219
70,8
81,4
5921
Wo
rld
to
tal
8793
957
4,55
1,26
420
8901
058
5,58
3,39
621
8989
960
5,21
8,36
821
8996
063
3,32
1,12
022
9210
567
5,11
5,95
622
9493
672
1,85
5,39
922
9493
672
1,85
5,39
922
% o
f w
orl
d t
ota
l9.
7%8.
5%9.
9%8.
4%10
.0%
8.9%
10.5
%9.
4%11
.0%
9.4%
12.1
%9.
2%12
.9%
9.8%
No
GT
Ag
eN
oG
T A
ge
No
GT
Ag
eN
oG
TA
ge
No
GT
Ag
eN
oG
TA
ge
No
GT
Ag
e
Au
stra
lia87
2,23
9,67
815
438
2,28
2,53
719
882,
214,
007
1685
2,22
7,45
715
802,
136,
764
1685
2,54
7,22
616
851,
783,
475
15
Eg
ypt
126
1,08
4,68
622
329
1,10
8,23
025
114
921,
448
2311
91,
031,
543
2312
71,
101,
760
2313
91,
150,
512
2514
41,
096,
390
25
Ind
ia40
77,
082,
501
1674
06,
496,
075
1839
47,
363,
160
1738
67,
600,
321
1741
18,
273,
962
1745
68,
782,
101
1853
89,
736,
879
17
Ind
on
esia
605
3,41
9,36
520
1400
3,67
1,43
325
616
3,59
9,74
522
672
4,28
8,58
122
724
4,66
3,22
122
793
4,97
8,38
223
850
5,33
1,00
223
Iran
163
3,73
1,50
016
286
4,17
3,18
020
156
5,02
7,55
216
172
5,48
1,27
416
179
5,69
4,06
416
184
5,76
6,15
616
179
5,90
0,35
516
Ku
wai
t35
2,18
7,09
817
135
2,02
4,95
924
322,
010,
569
1857
2,89
1,30
818
693,
302,
733
1868
3,14
8,13
718
693,
402,
004
16
Mal
aysi
a31
25,
466,
785
1353
55,
650,
037
1633
57,
290,
745
1432
77,
321,
482
1532
57,
521,
941
1535
76,
248,
611
1639
38,
877,
388
16
Sau
di A
rab
ia12
15,
729,
753
1833
46,
206,
391
2012
66,
689,
528
1712
36,
131,
429
1713
46,
314,
713
1615
06,
658,
587
1616
57,
228,
610
15
Sin
gap
ore
714
11,1
13,5
2815
1284
12,1
47,6
4215
758
14,4
20,9
7915
715
12,9
40,2
1215
764
14,3
00,2
6516
794
15,8
42,2
6115
869
17,7
42,9
1115
So
uth
Afr
ica
2715
4,97
421
126
191,
323
2727
127,
192
2429
176,
400
2226
160,
529
2330
163,
584
2434
214,
667
24
Th
aila
nd
258
1,44
4,42
322
396
1,46
4,75
525
254
1,45
0,98
424
298
1,93
5,60
723
316
2,10
2,81
924
298
1,93
1,09
823
342
2,69
4,24
223
Un
ited
Ara
b E
mir
ates
185
2,50
5,90
621
44,
181
91
3,46
34
13,
463
530
14,
323,
046
2136
65,
005,
335
2242
56,
453,
382
21
Tota
l30
4046
,160
,197
1860
0745
,420
,743
2029
0151
,119
,372
1829
8452
,029
,077
1734
5659
,895
,817
1937
2062
,221
,990
1940
9370
,461
,305
19
Wo
rld
to
tal
3547
155
7,13
0,89
317
3567
856
7,63
2,81
821
3610
558
7,41
4,42
121
3625
261
5,53
5,86
621
3764
465
7,04
8,70
422
3920
970
3,26
3,14
622
3920
970
3,26
3,14
622
% o
f w
orl
d t
ota
l8.
6%8.
3%16
.8%
8.0%
8.0%
8.7%
8.2%
8.5%
9.2%
9.1%
9.5%
8.8%
10.4
%10
.0%
2005
2006
2007
Nat
ion
alit
y o
f o
wn
er
1000
GT
an
d a
bov
e
2001
2002
2003
2004
2007
2005
2006
Co
un
try
of
reg
istr
atio
n
2001
2002
2003
2004
Indi
an O
cean
Reg
ion
prin
cipa
l mer
chan
t fle
ets
31 D
ecem
ber
2007
Sour
ce: D
evel
oped
fro
m L
loyd
s R
egis
ter
Fair
play
-- W
orld
Fle
et S
tatis
tics
2007
App
endi
xL
Indi
anO
cean
coun
trie
sP
ort
Stat
eC
ontr
olIn
spec
tion
Dat
a20
01to
2006
Num
ber
of in
spec
tion
sN
umbe
r of
det
enti
ons
Insp
ecti
ons
wit
h de
fici
enci
esC
ount
ryP
SC20
0120
0220
0320
0420
0520
0620
0120
0220
0320
0420
0520
0620
0120
0220
0320
0420
0520
06
IOM
OU
00
00
00
00
00
00
00
00
00
Pari
s M
o0
00
101
00
00
00
00
00
50
0
Tok
yo M
oU10
106
1012
110
00
00
07
71
58
4A
ustr
alia
Tot
al10
106
2013
110
00
00
07
71
108
4
IOM
OU
00
00
00
00
00
00
00
00
00
Pari
s M
o5
35
25
30
00
01
03
21
22
1
Tok
yo M
oU3
44
21
30
01
00
03
33
20
0B
ahra
in
Tot
al8
79
46
60
01
01
06
54
42
1
IOM
OU
517
1521
137
010
48
63
217
1317
136
Pari
s M
o6
02
120
12
02
20
06
02
90
1
Tok
yo M
oU13
1411
129
76
13
22
113
149
99
7B
angl
ades
h
Tot
al24
3128
4522
158
119
128
421
3124
3522
14
IOM
OU
24
157
1115
10
22
310
20
43
715
Pari
s M
o3
2549
913
012
02
1015
226
233
2044
995
93
Tok
yo M
oU1
23
97
140
00
20
41
23
97
14C
omor
os
Tot
al6
3167
2514
814
93
1017
629
376
2251
2110
912
2
IOM
OU
00
00
00
00
00
00
00
00
00
Pari
s M
o0
00
00
00
00
00
00
00
00
0
Tok
yo M
oU0
00
00
00
00
00
00
00
00
0D
jibo
uti
Tot
al0
00
00
00
00
00
00
00
00
0
Indi
an O
cean
cou
ntri
es P
ort S
tate
Con
trol
insp
ectio
n da
ta 2
001–
2006
362 Appendix L
Cou
ntry
Egy
pt
Eth
iopi
a
Indi
a
Indo
nesi
a
Iran
Iraq
IOM
OU
71
812
34
11
014
810
106
518
1721 62
Pari
s M
o68
5214
5946
119
72
06
4657
3813
1933
Toky
o M
oU12
1117
75
140
15
11
16
913
62
11
Tota
l95
9687
3371
6812
1316
42
766
7461
2927
49
IOM
OU
27
88
41
01
11
01
03
34
31
Pari
s M
o11
148
312
50
10
00
011
107
39
5
Toky
o M
oU1
31
35
30
00
00
01
30
34
2
Tota
l14
2417
1421
90
21
10
112
1610
1016
8
IOM
OU
8878
5274
4549
46
56
62
5142
2938
2926
Pari
s M
o79
5339
111
5841
133
45
20
5536
2875
2816
Toky
o M
oU55
6771
7857
651
66
36
640
5058
4338
50
Tota
l22
219
816
226
316
015
518
1515
1414
814
612
811
515
695
92
IOM
OU
2215
1517
2318
34
59
87
1913
1517
2316
Pari
s M
o1
00
225
11
10
063
00
10
020
21
0
Toky
o M
oU12
912
822
221
120
118
746
2961
6047
4211
712
220
318
818
917
5
Tota
l15
214
323
745
322
520
650
3366
132
5549
137
135
218
407
213
191
IOM
OU
4440
1326
2216
55
41
40
3731
920
1812
Pari
s M
o80
7064
5793
7712
47
52
244
4442
5756
39
Toky
o M
oU24
2044
5866
502
54
53
15
1331
4347
37
Tota
l14
813
012
115
918
114
319
1415
119
386
8882
120
121
88
IOM
OU
00
00
00
00
00
00
00
00
00
Pari
s M
o0
00
00
00
00
00
00
00
00
0
Toky
o M
oU0
00
00
00
00
00
00
00
00
0
Tota
l0
00
00
00
00
00
00
00
00
0
2001
2003
2004
2005
2006
2002
2001
2003
2004
2005
2006
2002
2001
2003
2004
2005
2006
2002
Num
ber
of in
spec
tion
sN
umbe
r of
det
enti
ons
Insp
ecti
ons
wit
h de
fici
enci
esP
SC
Indi
an O
cean
cou
ntri
es P
ort S
tate
Con
trol
insp
ectio
n da
ta 2
001–
2006
(co
ntin
ued)
Appendix L 363
IOM
OU
00
00
00
00
00
00
00
00
00
Pari
s M
o23
1318
3316
120
00
00
02
00
151
1
Toky
o M
oU12
2329
3335
250
00
00
25
1017
1523
17Is
rael
Tot
al35
3647
6651
370
00
00
27
1017
3024
18
IOM
OU
23
68
911
00
25
59
01
48
711
Pari
s M
o0
31
43
10
11
11
10
31
33
1
Tok
yo M
oU0
02
83
20
01
51
10
02
83
1Jo
rdan
Tot
al2
69
2015
140
14
117
110
47
1913
13
IOM
OU
00
00
00
00
00
00
00
00
00
Pari
s M
o0
00
00
00
00
00
00
00
00
0
Tok
yo M
oU0
00
00
00
00
00
00
00
00
0K
enya
Tot
al0
00
00
00
00
00
00
00
00
0
IOM
OU
2314
118
96
11
20
30
97
84
54
Pari
s M
o15
129
2411
122
10
00
09
63
135
4
Tok
yo M
oU9
58
1616
82
00
00
03
14
82
2K
uwai
t
Tot
al47
3128
4836
265
22
03
021
1415
2512
10
IOM
OU
10
00
00
10
00
00
10
00
00
Pari
s M
o0
10
01
00
00
01
00
10
01
0
Tok
yo M
oU0
00
00
00
00
00
00
00
00
0M
adag
asca
r
Tot
al1
10
01
01
00
01
01
10
01
0
IOM
OU
7877
6481
6544
55
35
55
5348
4150
3932
Pari
s M
o45
6258
357
3634
32
221
11
3033
2925
216
16
Tok
yo M
oU34
923
424
630
623
819
432
3022
1921
1623
422
420
821
617
913
4M
alay
sia
Tot
al47
237
336
874
433
927
240
3727
4527
2231
730
527
851
823
418
2
Num
ber
of in
spec
tion
sC
ount
ry
2001
2003
2004
2005
2006
2002
2001
2003
2004
2005
2006
2002
2001
2003
2004
2005
2006
2002
PSC
Num
ber
of d
eten
tion
sIn
spec
tion
s w
ith
defi
cien
cies
Indi
an O
cean
cou
ntri
es P
ort S
tate
Con
trol
insp
ectio
n da
ta 2
001–
2006
(co
ntin
ued)
364 Appendix L
2001
2002
2003
2004
2005
2006
2005
2006
2001
2002
2003
2004
2005
2006
2001
2002
2003
2004
Mal
dive
s
109
1512
1415
21
33
22
109
1410
1412
IOM
OU
2
32
02
20
00
00
00
21
01
2
Pari
s M
o 4
10
00
00
00
00
02
00
00
0
Toky
o M
oU
11
10
00
00
00
00
11
00
01
Mau
riti
us
Tota
l 7
52
20
00
00
00
33
30
11
3
IOM
OU
0
00
00
00
00
00
00
00
00
0
Pari
s M
o 0
00
00
0
00
00
00
00
00
00
0
00
0
Toky
o M
oU
00
00
00
00
00
00
00
Moz
ambi
que
Tota
l 0
00
00
00
00
00
00
00
00
0
Mya
nmar
Om
an
Pak
ista
n
IOM
OU
11
510
1413
21
03
11
88
48
1212
6
Pari
s M
o 12
167
49
92
00
05
00
78
239
40
Tok
yo
MoU
3340
3744
3531
40
74
42
2827
3132
2818
To
tal
5661
5410
757
416
17
125
343
3941
8344
24
IOM
OU
10
00
00
00
10
00
00
10
00
0
00
0
Pari
s M
o 0
00
00
00
00
00
00
00
0
Toky
o M
oU
00
00
00
00
00
00
00
00
Tota
l 1
00
00
01
00
00
01
00
00
0
IOM
OU
6
37
64
90
02
02
26
35
44
8
Pari
s M
o 8
10
41
25
82
20
01
26
93
11
58
Toky
o M
oU
1015
1512
911
20
10
10
914
1311
810
Tota
l 24
2826
3018
284
23
04
421
2621
2617
26
IOM
OU
22
12
2
231
11
11
1
12
2
28
722
22
31 1
11
1111
10
00
00
00
00
4 49
0 870
05 5
01
1111
3
Pari
s M
o
Tok
yo M
oU
Tot
al
Num
ber
of d
eten
tion
sIn
spec
tion
s w
ith
defi
cien
cies
Num
ber
of in
spec
tion
sP
SCC
ount
ry
Indi
an O
cean
cou
ntri
es P
ort S
tate
Con
trol
insp
ectio
n da
ta 2
001–
2006
(co
ntin
ued)
Appendix L 365
Num
ber
of in
spec
tion
sN
umbe
r of
det
enti
ons
Insp
ecti
ons
wit
h de
fici
enci
esC
ount
ryP
SC20
0120
0220
0320
0420
0520
0620
0120
0220
0320
0420
0520
0620
0120
0220
0320
0420
0520
06
IOM
OU
1811
88
82
12
02
20
24
15
31
Pari
s M
o11
79
47
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366 Appendix L
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Appendix MIndian Ocean Port State Control InspectionData for Classification Societies
Indian Ocean port state control inspection data for classification societies
No of inspections No of detentionsClassification society
20012002 2003 Total 200120022003Total BG limit
GW limit
Excess factor List
American Bureau of Shipping
585 520 414 1519 18 30 27 75 123 89 –0.35 W
Bureau Veritas 413 198 353 964 28 16 43 87 81 54 1.19 BChina Classification Society
129 128 179 436 7 7 10 24 40 21 0.15 G
Det Norske Veritas 558 530 522 1610 15 16 33 64 130 95 –0.71 W
Germanischer Lloyd 375 453 380 1208 25 26 34 85 100 69 0.51 GKorean Register of Shipping
169 155 158 482 7 13 9 29 43 24 0.26 G
Lloyd's Register 896 848 723 2467 48 52 75 175 194 151 0.55 G
Nippon Kaiji Kyokai 1555 1551 1422 4528 61 62 77 200 346 288 –0.68 W
Registro Italiano Navale 85 92 71 248 13 6 9 28 24 10 1.41 BRussian Maritime Register of Shipping
390 430 531 1351 5 12 50 67 110 79 –0.32 W
Indian Register of Shipping
60 58 44 162 2 2 8 12 17 5 0.56 G
Non IACS 305 489 296 1090 62 64 97 223 91 62 4.83 B
IACS + Associate 5215 4963 4797 14975 229 242 375 846 1100 996 –0.34 W
Total 5520 5452 5093 16065 291 306 472 1069 1178 1071 0.00 W
No of inspections No of detentionsClassification society
20042005 2006 Total 200420052006Total BG limit
GW limit
Excess factor List
American Bureau of Shipping
466 442 461 1369 42 31 27 100 112 80 0.63 G
Bureau Veritas 423 485 437 1345 52 53 29 134 110 78 1.56 BChina Classification Society
210 226 228 664 6 6 15 27 58 35 –0.47 W
Det Norske Veritas 535 518 460 1513 23 30 27 80 123 89 –0.22 W
Germanischer Lloyd 415 418 444 1277 31 29 27 87 105 74 0.42 GKorean Register of Shipping
187 222 227 636 6 15 12 33 56 33 –0.03 G
Lloyd's Register 852 785 757 2394 77 47 43 167 189 147 0.49 G
Nippon Kaiji Kyokai 1700 1602 1668 4970 76 56 76 208 378 318 –0.77 W
Registro Italiano Navale 89 99 96 284 12 13 13 38 27 12 2.08 BRussian Maritime Register of Shipping
470 115 66 651 56 11 15 82 57 34 2.18 B
Indian Register of Shipping
64 44 45 153 7 7 5 19 16 5 1.47 B
Non IACS 279 249 235 763 101 76 117 294 66 41 10.54 B
IACS + Associate 5411 4956 4889 15256 388 298 289 975 1120 1016 –0.09 W
Total 56905205512416019 489 374 4061269 1175 1068 1.19 W
Source: Compiled from annual reports for Indian Ocean MoU
367
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Index
AAbuja MoU, 215, 217Actor behaviour
interest based actors, 141knowledge based actors, 140–141power based actors, 141–142
Adaptive management, 32–33, 38,142, 286
Ademuni-Odeke, 222, 258Africa, 3–4, 9, 13, 49, 52–56, 58–59, 61–68,
139–140, 146–150, 153, 156–163, 175,177, 181, 184–187, 189–190, 192, 195,197, 199, 206, 209, 211, 213, 217, 219,223, 226, 231, 234, 236–237, 239–242,244, 246, 255, 265
Aid, 22Alderton, 223, 258Amoco Cadiz, 213, 257Aquaculture, 29, 152, 158Archipelagic state, 20, 26, 131Archipelagic waters, 20, 131Asia, 3–4, 9, 49, 52–54, 58, 61–66, 95–96,
146, 148–149, 184–185, 189–192, 196,199–200, 265
Asia Pacific, 4, 13, 49–50, 55, 61–64, 96, 129,184, 202, 214, 223
Asia Pacific Economic Cooperation, 184Association of South East Asian Nations, 31Australia, 3, 9, 13, 25, 26, 29, 49, 53–56,
58–59, 62–66, 139–140, 145–146, 149,156–157, 159–163, 165, 174, 177,184–187, 189–192, 194, 197, 199–200,202, 204, 206–219, 223, 226, 229,231–232, 234, 238–239, 241–242, 244,246–247, 255–257, 260–261, 265, 269,271, 273
Australian Maritime Safety Authority,217–218, 235–237, 246, 261
BBahrain, 25, 59, 148, 186–189, 199,
215–216, 231Baltic and International Maritime Council,
230, 259Bangladesh, 25–26, 59, 149, 158–160,
162–163, 186–189, 199, 202, 226, 231,234, 238–239
Bareboat charters, 203–204Bipolar, 22, 52–53, 60Boisson, 222, 257Broader consequences across space
international cooperation, 148–152regional cooperation, 146–148state learning, 145–146
Bulk cargo, 3, 230, 232
CCapacity-building, 33, 109, 143–146, 160, 163,
234, 239–240, 252, 266, 269Cariou, 224, 258Casualty rates of ships, 223Center for Strategic and International
Studies, 11Classification societies, 216, 221–222,
225–228, 230–231, 238, 258, 268Climate change, 7, 24, 29–30, 43, 129, 136,
141–142, 144, 152, 160Coastal communities, 11, 24, 40, 140–141,
158–159Coastal erosion, 29–30, 32, 146, 152, 155,
158, 160Coastal state, 7, 20, 23–26, 38, 58–59, 62–63,
75, 130–135, 148, 152, 175, 241, 273Coastal tourism, 21, 29Coastal waters, 21, 145Coastal zone, 23, 27, 45–46, 132, 135–136,
141, 147, 158Cognitivism, 8, 76–79, 88
395
396 Index
Cold war, 3, 6, 22, 50, 52, 60–61, 63–64,66, 265
Co-management, 36Common heritage of mankind, 18, 26–27, 39,
75, 133, 274Comoros, 59, 62, 149, 160, 162, 186–187, 189,
226, 240, 259Complex interdependence, 18, 44Concept comprehensiveness, 35, 37Consistent practice, 35, 37Container Security Initiative, 39, 42, 76Container shipments, 3Continental shelf, 5, 20, 23, 25–26, 39, 97,
130–132, 207Contractualist theory, 6, 79Control and regulation, 4, 10, 17, 20, 38, 40,
43, 95Coral reefs, 24, 159Crude oil, 3, 257Customary law, 17Cyclones, 24, 135, 141, 158, 160
DDeveloping countries, 26, 141, 147, 171,
184–187, 189–200, 200–202Dijxhoorn, 222, 257Direct method, 36Disarmament, 6, 24Disaster management, 7, 42–43Djibouti, 26, 59, 62, 149, 186–189, 202,
226, 240Drug trafficking, 22, 51Dumping, 24, 206
EEast Asia, 3–4, 9, 31, 49, 52–54, 58, 61–63, 65,
95–96, 146, 184–185, 189–191, 194,196, 199, 202, 208–209, 217, 238, 265
Ecuador, 29, 214Egypt, 25, 59, 62, 149, 162–163, 186–187,
189, 199, 204, 207–214, 216,231, 239
Environmental degradation, 11, 22,42, 51
Environmental Impact Assessment, 32Epistemic communities, 6, 77, 81, 88, 106,
108, 110, 118, 142, 166, 232Ethiopia, 12, 25, 56, 59, 149, 186–187, 189,
202, 217, 226, 240, 260European fleets, 204Exclusive economic zone, 5, 7, 20–21, 23,
75–76, 131Exports, 12, 67, 183–202
FFinancial resources, 28, 31, 40–42Fisheries, 4, 7, 23–24, 39, 43, 69, 76, 129, 136,
147, 152, 155, 158–160, 177, 265, 272Fish stocks, 23, 42, 147, 159Flag of Convenience, 204, 257Flagging out, 204Flag state, 13, 76, 131, 203–205, 216–217,
219, 221–223, 225–226, 229–231, 233,238, 241, 247, 255–256, 258, 268
Flag State Implementation, 222, 241, 247Food and Agricultural Organisation, 24Food security, 11, 22, 24, 272Forum for Defence and Maritime Studies,
11, 257France, 19, 26, 29, 50, 58, 60–61, 64, 67, 139,
145, 156, 159, 181, 204, 214, 231, 239,256–257
Franses, 224, 258Freedom of the seas, 19, 40
GGCC MoU, 215, 217, 233–234, 238, 260, 269Genuine link, 203, 205, 223Geographic Information System, 34Global governance, 11Globalisation, 19, 22, 50, 70Global Ocean Observing System, 11–12, 129,
136–140, 153, 174, 176–177, 179,266–267, 269
Global security, 40, 42–43, 52Good order at sea, 7, 11, 35, 44, 271–272Graaf, 226, 258Great power, 40, 50, 53–54, 60, 265Greece, 26, 29, 204, 214, 230–231, 239Gross Domestic Product, 184
HHare, 213, 223–224, 257–258High seas, 17, 19–20, 23, 27, 38–40, 57,
75–76, 95, 130–133, 135, 274Hurricanes, 24, 135
IIllegal immigration, 22, 51Imports, 183Imposition, 9, 79, 104, 140, 174India, 25–26, 45, 50, 53–57, 59, 62–64, 134,
139–140, 145, 149, 156, 158–165, 174,177, 184–187, 189, 191–192, 195–200,202, 207–213, 215–219, 226, 229, 231,234, 236–239, 241–242, 244–247, 255,257, 267, 269, 271, 273
Index 397
Indian Ocean Computerised InformationSystem, 244
Indian Ocean Global Ocean Observing System,12, 139–140, 177, 266–267
Indian Ocean Memorandum of Understanding,12, 203, 260
Indian Ocean Rim Association for RegionalCooperation, 3, 61, 68
Indian Ocean Tuna Commission, 147, 272Indirect method, 36Indonesia, 11, 25–26, 45, 53, 59, 63, 139, 142,
145, 147, 149, 156, 159, 161–162, 165,170, 186–187, 189, 191–192, 194–196,199, 202, 208–214, 216–219, 226, 231,239, 247, 257
Industrial capacity, 40–41Industrialised countries, 184–186, 188–190,
201–202Institutional integration, 28Integrated Coastal Management, 27Integrated management, 27–28, 39, 45Integrated Technical Cooperation
Programme, 240Interdependence, 6, 18, 22, 25, 27, 42–44,
51–52, 65, 265Intergenerational equity, 35, 44Intergovernmental, 28, 35, 61, 81, 137, 148,
150, 175Internal waters, 19–20, 130International Association of Classification
Societies, 225, 258International Association of Dry Cargo
Shipowners, 230International Association of Independent
Tanker Owners, 229, 258International Chamber of Shipping, 229, 258International Conventions
Control and Management of Ships’ BallastWater and Sediments, 207
Liability and Compensation for Damagein connection with the Carriage ofHazardous and Noxious Substances bysea, 207
Prevention of Marine Pollution byDumping of Wastes and OtherMatter, 206
Prevention of Pollution from Ships, 76, 206Safe Containers, 206Safety of Life at Sea, 76, 206Standards of Training, Certification and
Watchkeeping for Fishing VesselPersonnel, 206
Standards of Training, Certification andWatchkeeping for Seafarers, 76, 206
Suppression of Unlawful Acts against theSafety of Maritime Navigation, 39, 207
International Labour Organisation, 206, 261International Maritime Organisation, 205–207International Monetary Fund, 12, 183International registers, 204, 231International Seabed Authority, 5, 23, 39, 133International Shipping Federation, 229, 258International Ship and Port Facility Security
Code, 43International Transport Federation, 204, 257International Union for the Conservation of
Nature and Natural Resources, 27Intra-Indian Ocean, 11–12, 183–202Iran, 25–26, 53, 59, 62–64, 139, 141, 149,
159–163, 186–189, 192, 199, 202,208–213, 215–218, 226, 231, 234,236–237, 242, 244, 246, 255, 274
Iraq, 25–26, 53, 59, 62, 64, 149, 162,186–189, 202
Island states, 9, 53, 58, 62, 148–149Israel, 59, 62, 162, 186–187, 189, 197, 199,
214, 226, 231
JJapan, 3, 26, 50, 53, 60, 64, 149, 156, 208, 214,
231, 239, 263Jordan, 25, 59, 62, 149, 186–189, 199, 202,
214, 231
KKenya, 25–26, 59, 62, 139, 141, 149, 158–163,
177, 186–187, 189, 215–217, 231, 234,236–237, 240–242, 244, 247
Kiehne, 222, 258Knapp, 224, 258Korea, 3, 134, 149, 208, 214, 231, 239, 259Kovats, 223, 258Kuwait, 25–26, 59, 149, 162–163, 186–187,
189, 191, 202, 208–213, 215–216, 226,229, 231
LLand locked, 17, 58–59, 148, 202, 239Latin American MoU, 224Law of the Sea Convention, 17, 39, 46, 96, 265Leadership
entrepreneurial, 141intellectual, 140–141structural, 141–142
Li, 223, 258Llacer, 223, 256, 258Load Line, 241
398 Index
MMadagascar, 25–26, 59, 62, 139, 141, 149,
158, 160, 162–163, 177, 186–189, 202,231, 234, 240
Malaysia, 11, 26, 53, 59, 63, 139, 149,160–162, 186–187, 189, 191, 192–194,196, 199, 202, 208–214, 216–219, 226,231, 234–235, 237, 240, 247, 257
Maldives, 59, 139, 149, 162, 186–189, 202,207, 215–219, 226, 234, 236–237,240–242, 244, 247
Marine environment, 18, 22–26, 42, 46, 69, 74,76, 97, 129–130, 132–133, 135, 142,144–145, 148, 160, 163, 205, 233,239, 267
Marine leisure, 21, 29Marine resources, 5, 42, 137, 160Marine scientific research, 5, 7–12, 22–23,
43–44, 69, 76, 97, 125, 129–182,265–270, 272
Maritime affairs, 4, 11, 17, 219, 257Maritime borders, 43Maritime domain, 41, 43, 273Maritime forces, 41–43Maritime Institute of Malaysia, 11, 257Maritime Labour Convention, 206, 241, 261Maritime operations, 41–42Maritime policy, 12, 40–41,
221, 266Maritime power, 23–24, 26, 40–41,
60, 135Maritime safety, 4, 7, 10–11, 13, 22, 28,
42–44, 76, 205–206, 213, 217–218,221, 223–224, 233, 235–239, 246, 258,261, 265, 267, 272
Maritime security, 4, 22, 38, 42–44, 69, 76,221, 257, 265, 271–273
Maritime technology, 41–42Maritime zones, 20, 28–31, 33–34, 42,
130–131, 134Marlow, 223, 258Mauritius, 25–26, 59, 61, 139, 141, 145, 149,
159–163, 177, 186–187, 189, 215–217,226, 231, 234, 236–237, 240–242,244, 259
McDorman, 175–176, 223, 258Middle East, 4, 9, 13, 15, 46, 49, 52–54,
58, 61–63, 146, 148–149, 184–185,189–191, 195, 199, 208–209, 265
Middle power, 265Military, 17–18, 21, 24, 40–42, 44, 51, 53,
60–62, 134–135Monsoons, 24, 135, 156, 160, 180
Mozambique, 25–26, 59, 65, 139, 141, 149,158, 160, 162, 177, 186–189, 240
Myanmar, 25, 59, 149, 162, 186–189, 202,231, 234
NNational fleet, 43, 47National identity, 17National interest, 17–18, 40, 42, 52, 95, 172,
265National jurisdiction, 7, 20–21, 23, 27, 39, 133National security, 17, 49–52, 61, 145National vision, 41Nation-states, 4–5, 17–19, 22, 24, 32, 42–43,
50–53, 55, 60–64, 97, 266Natural resources, 19, 23, 27, 39, 132–134Negotiation, 9, 25, 71–72, 78–79, 104, 107,
113, 132, 140, 174, 216, 249, 267Neoliberalism, 8, 76–79New ocean regime, 5, 7, 38, 40–41, 95Non-governmental organisations, 11, 30, 53,
61, 81, 140–141, 159, 240Non-military, 18, 51, 61Norms, 8, 49, 70–75, 77, 83–84, 89, 99, 107,
109, 115–116, 120, 168–169, 249–250,266–267, 272
North East Asia, 4, 54, 95–96
OOcean governance, 4–10, 15–126, 265–267,
272–273Oceanic, 10, 20, 55–56, 62, 65–66, 70, 90, 97,
129–130, 133–135, 139–141, 147–148,156–157, 159, 265
Oceanic space, 265Ocean regime, 5, 7, 22, 38, 40–41, 69, 95, 265Ocean use, 22–23, 38, 95, 135, 265Oil Companies International Marine Forum,
232, 259Oman, 25–26, 59, 62–63, 65, 149, 162,
186–189, 199, 215–217, 226, 234,236–237, 241–242, 244, 247, 269
Open registers, 203–204, 223Organisation for Economic Co-operation and
Development, 27
PPakistan, 25–26, 53, 59, 63–64, 149, 161–162,
186–187, 189, 192, 199–200, 226, 229,231, 238, 267
Paris Memorandum of Understanding, 213Paris MoU, 13, 214, 217–218, 223, 230,
245–246, 256, 261Participatory planning, 30
Index 399
Payoyo, 222, 257Philippines, 29, 149, 204, 214, 231, 240P&I clubs, 222, 228, 230–231, 258Piracy, 22, 271, 274Political will, 28, 31, 35, 40–41, 266, 271–272Pollutants, 24Port state control, 7, 8–13, 42, 76, 175, 183,
202–261, 266–270, 272–273Power to govern the sea, 10, 40–42, 44, 65,
127–261Precautionary principle, 31, 35Principal merchant fleets, 208–213Principles, 6, 20, 26, 28, 30–33, 35–38, 40,
69–76, 83, 89, 96, 99, 107, 109, 115,120, 133, 135–136, 168, 204, 249, 259,266–267
Process aggregation, 35, 37Proliferation Security Initiative, 39, 42, 76, 272
QQatar, 25, 59, 149, 162, 186–187, 189, 191,
202, 215–216
RRajaratnam School of International Studies,
12, 257Realism, 8, 76–79Regime formation, 9–10, 69, 76–82, 96, 99,
103–104, 106, 108, 110, 113, 118–119,122–125, 136–140, 152–155, 164–165,167, 170, 173–174, 213, 216, 241–247,249, 251, 254
Regimes, 3–10, 13–14, 17, 25, 43, 49, 56, 66,69–73, 75–82, 86–90, 95–99, 102–104,106–107, 214, 217, 219, 222, 232, 255,260, 266–273
Regime theory, 6–11, 15–127, 255, 266, 272Regionalism, 8–11, 50–51, 61–64, 66–68, 95Regional management, 43Regional orders, 7, 9–10, 18, 50–51, 60Regional security complex, 10, 52, 67Regions, 1–14, 17, 49–55, 62–64, 66–67,
85–86, 95–97, 146, 155, 174, 184,189–190, 192, 213, 223–224, 240,265–266
Renewable energy, 21, 29Resource conservation, 35, 44Resource degradation, 29Resource planning, 31Resource scarcity, 22, 51RightShip, 232, 259–260Roberts, 223, 258Rochdale Committee, 204
Roundtable of International ShippingAssociations, 230–232, 259
Rules, 8, 38, 40, 49, 70–74, 76–78, 82–87,89–90, 96, 98–100, 103, 106, 109, 116,120, 132, 169, 175, 205, 225, 230, 250,259, 266–267
SSaudi Arabia, 45, 53, 59, 149, 162–163,
186–187, 189, 191–192, 199, 202,208–213, 215–216, 226, 231, 240
Seaborne trade, 207, 239Sea denial, 22Sea of Eden, 25Sea-level rise, 29–30, 32, 158Sea power, 40–42, 55, 257Sectoral integration, 28Self generation, 9, 79, 104, 140, 174Seychelles, 59, 62, 139, 149, 162, 186–187,
189, 234, 240Ship Inspection Report, 232Ship management, 222, 229Shipping industry, 203, 222, 228–231, 255–256Ships of Shame, 219Ship-targeting factor, 233, 245, 255–256, 268Singapore, 12, 26, 59, 63–64, 149, 161,
186–189, 191–192, 194, 196, 199, 202,207–214, 216–219, 226, 229, 231,234–235, 237, 239–240, 247, 257
Small Island Developing States, 24Somalia, 25–26, 59, 62, 149, 186–189, 202,
226, 234, 240South Africa, 53–54, 59, 63–64, 68, 139–140,
149, 156, 159–163, 177, 186–187, 189,192, 195, 197, 199, 206, 209, 211–213,215–217, 219, 223, 226, 231, 234,236–237, 239–242, 244, 246, 255
South Asia, 4, 9, 13, 49, 52–54, 58, 61–63,146, 184–185, 189–190, 200, 265
South East Asia, 3, 9, 49, 53–54, 58, 62–63,65, 146, 184–185, 189–192, 196,199, 265
Southern Africa, 9, 52–54, 58, 61–63, 217,240, 255
Spatial integration, 28Sri Lanka, 25–26, 29, 59, 139–141, 145–146,
149, 158–160, 162–163, 177, 186–187,189, 199, 215–219, 231, 234, 236–237,239, 241–242, 244, 247, 259
Stages of regime formationagenda formation, 152–153institutional choice, 153operationalisation, 153–155
400 Index
Stakeholder integration, 28Stevedores, 228Stienberg, 183Strategic Impact Assessment, 32, 34Structuration theory, 8–11, 66, 69–93,
103–104, 272Structure over time
domination, 144–145legitimisation, 143signification, 142–143
Sub-Saharan Africa, 4, 49, 62Substandard shipping, 213, 216, 219, 222–225,
232, 238–239, 241, 244, 246–247,252–256, 266, 268–270
Sudan, 25, 45, 59, 62, 67, 149, 186–187, 189,202, 215–217, 234, 236–237, 240–241,243–244
Superpower, 50, 53, 60, 265Suppression of Unlawful Acts Convention, 76Sustainable development, 22–23, 27–28, 31,
33–35, 39, 41Sweden, 12, 26, 29, 204, 214, 231, 239
TTanzania, 59, 61, 139, 142, 145, 149, 159–160,
162, 170, 182, 186–187, 189, 215–217,234, 236–237, 240–241, 243–244
Technological capability, 40–42, 134Temporal integration, 28Territoriality, 17, 64Territorial sea, 19–20, 25, 130–131Terrorism, 22, 38, 46, 50–51, 60Thailand, 25, 29, 53, 59, 139, 149, 159–162,
186–187, 189, 191–192, 196–197, 199,202, 208–214, 216–218, 226, 231, 235,237, 240, 247
Timor-Leste, 12, 59, 149Tokyo MoU, 13, 214–219, 230, 234–239,
246–247, 260Torremolinos Protocol, 206Trade, 3, 7, 10–12, 22–24, 38, 41, 49, 55,
60–61, 63, 66, 175, 183–202, 205,
207, 224–225, 228–229, 239, 256–257,265–266, 270
Tragedy of Commons, 27Transnational, 8, 22, 43, 51, 53, 95Transportation, 3, 29, 85, 221, 232Treaty of Tordesillas, 19
UUnited Arab Emirates, 25–26, 59, 149,
186–187, 189, 191–192, 197, 199–201,209, 215–216
United Kingdom, 26, 29, 58, 61, 63–64, 67,181, 214, 256
United Nations Convention on the Law of theSea, 17
United Nations Environmental Programme,27, 39
United States, 26, 29, 39, 43, 47, 50, 60–61,64, 133, 140, 145, 156, 213–214,223, 239
Use of power, 40–41, 44User pays principle, 31Use of the sea, 38, 40–41, 272
VVasco da Gama, 183Vorbach, 223, 257–258
WWinchester, 223, 258Wonham, 222, 258World Commission on Environment and
Development, 27, 39, 45, 69World economy, 203World fleet, 12, 207–213, 231World population, 3, 19, 141
YYemen, 25–26, 46, 59, 62, 149, 186–189, 200,
202, 215–217, 234, 236–237, 240–241,243–244, 247