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ENCA-QSP SYSTEM TO PRODUCE SEEA-EEA THEMATIC ECOSYSTEM ACCOUNTS Bruno Smets, VITO Contributions by Jazmin Arguello (IXXI/VITO) and Jean-Louis Weber (International consultant) 17/02/2020 ©VITO 1

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Page 1: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

ENCA-QSP SYSTEMTO PRODUCE SEEA-EEA THEMATIC ECOSYSTEM ACCOUNTS

Bruno Smets, VITOContributions by Jazmin Arguello (IXXI/VITO) and Jean-Louis Weber (International consultant)

17/02/2020

©VITO 1

Page 2: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

SEE THEBIGGERPICTURE

remotesensing.vito.be

CLEANTECH & SUSTAINABLE DEVELOPMENT

Energy Materials Chemistry

Health Land use

Technology to accelerate the transition to a more sustainable world

Remote SensingModelling

Page 3: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

ECOSYSTEM DEGRADATION IN WEST-AFRICA

17/02/2020

©VITO 3

Doubling of rural population & agriculture-dependent people loving below poverty by 2030Agriculture productivity raising, but not fast enough to keep pace with population growthImpact from climate changeMore investments in dryland areas, threatening biodiversityRegion projected to be more affected by habitat destruction than else on earth by 2100

85 .. (Nigeria).. 155 (CAF)

Context Method Results Next Conclude

Page 4: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

IUCN PACO

17/02/2020

©VITO 4

Context Method Results Next Conclude

Page 5: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

PAPBIO

17/02/2020

©VITO 5

▪ 4.1 : Create an operational regional framework for coordination, management and monitoring of Protected Areas (PA).

▪ 4.2 : Strengthen regional mechanisms for conservation and sustainable managent of coastalecosystems.

▪ 4.3 : Support mechanisms for monitoring the management of PA from the state of the environment and climate change at regional and national level.

▪ 4.4 : Improve the coordination and management of PA with the implementation of variousregional sectoral policies, programs and/or strategies.

▪ 4.5 : Establish regional capacity for ecosystem natural capital accounting.

▪ 4.6 : Develop a harmonized reporting system usable by all Protected Areas.

Programme d'appui pour la préservation de la biodiversité et les écosystèmes fragiles,

à la gouvernance environnementale et au changement climatique en Afrique de l’Ouest

8.8M€

Context Method Results Next Conclude

Page 6: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

‘ECOSYSTEM ACCOUNTING’ FOR PAPBIO (A4.5)

17/02/2020

©VITO 6

Integrate inRegional Reference Information System for biodiversity and protected areas Management (RRIS2.0)

Phase 22021-2023, Consolidate platformDeploy platform to regional/national center(s)Apply to parcs in l’UEMOA / CEDEAO

Phase 12019-2021, Setup platformDemonstrate Niokolo/Fouta Djallon

UsabilitySustainability

Context Method Results Next Conclude

Page 7: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

ECOSYSTEM ACCOUNTING PHASE 1 (PHYSICAL ACCOUNTS & ECOSYSTEM SERVICES)

17/02/2020

©VITO 7

Massif de Fouta Djallon – basins• 38.4 Mha, crossing 5 countries• Relief avg. 0-1500m• High temperate (25°-28°C)• Seasonal pluvo (650 – 2400 mm/yr)• Land cover (84% natveg, 14% shifting cultivation)• Stress: increase agriculture, mining, hydro-dams

Trans-border parc• 1.4 Mha (Cat II)• Relief 311m• Tropical 25°-33°C• Pluvo 900 – 1200mm• Stress: forest-cut, poaching,

mining, agriculture, water pollution

Local new parc (0.5 Mha)

Context Method Results Next Conclude

Page 8: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

FOUTA DJALLON HIGHLANDS

17/02/2020

©VITO 8

Context Method Results Next Conclude

Page 9: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

ECOSYSTEM ACCOUNTING

17/02/2020

©VITO 9

User Needs• Three workshops, link observatory

Methodology• ENCA-QSP

Data• Variety&Value ; Availability• Earth observation

System• Process

Context Method Results Next Conclude

Page 10: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

ENCA-QSP: A QUICK START PACKAGE TO SUPPORT THE EXPERIMENTATION OF THE SEEA-EXPERIMENTAL ECOSYSTEM ACCOUNTS

The Ecosystem Natural Capital Accounts manual is a response tothe requirement of the CBD Aichi Target 2 call for incorporating,as appropriate and by 2020 at the latest, biodiversity values intonational accounting.

A technical accounting framework for measuring ecosystemsustainable capacity, resilience and economic sectors’accountability to the ecosystem. It includes a set of tables andcompilation guidance

A “distribution” (in the sense used for open source software) ofthe SEEA-EEA, aimed at putting it to workA Quick Start Package

Supported by a tutorial for technical training of experts(Kangaré)

http://www.ecosystemaccounting.net/

Context Method Results Next Conclude

17/02/2020

©VITO

Page 11: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

Resilience or HealthIndices

Land cover accounts (ha) + hydrographic networks

Carbon Balance (tonnes, joules…)

Water Balance(m3)

Balance of Ecosystem/Biodiversity

Infrastructure(weighted ha or km)

ENCA, AN INTEGRATED ACCOUNTING FRAMEWORK

Unit Ecological Value (in ECU):

➔ Total Ecosystemic Capability

Balance Sheet of Ecological debts

and credits in €A

cco

un

tso

f Q

ua

nti

ties

of

Res

ou

rces

Sustainable Use Indices

Resilience or HealthIndices

Sustainable Use Indices

Resilience or HealthIndices

Sustainable Use Indices

Balance Sheet of Ecological debts

and credits in ECU

Restoration, Compensation,

Depreciation

costs (€)

Mapping and Assessment of

EcosystemServices in

physical units

Valeur des services

écosystémiques

Mapping and Assessment of

EcosystemServices in

physical units

Mapping and Assessment of

EcosystemServices in

physical units

Mapping and Assessment of

EcosystemServices in

physical units

Valeur des services

écosystémiques

Valeur des services

écosystémiques

Value of Ecosystem

Services (€)

Addition isimpossible

!

Context Method Results Next Conclude

Source: J.L. Weber

17/02/2020

©VITO

Page 12: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

SYSTEM AND SERVICES APPROACHES

Ecosystem Stocks & Flows,Extent & Condition

Maintenance & remediation costs, Ecological Taxes,

Mitigation banking/ Offset Certificates...

Physical ecosystemsNatural & modified inland socio-ecosystems + Sea, Atmosphere

Total Ecosystem Capability

(in ECU)Degradation / Enhancement

Ecosystem services valuation (market & shadow prices),

Payments for Ecosystem ServicesWealth assessments

Monetary values

Bundle of intangible ecosystem

infrastructure functional

services (indirect

measurement)

Ecosystem carbon, biomass

Ecosystem water

Balance,Sustainable Use Index

Health Index

Balance,Sustainable Use Index

Health Index

Balance, (systems potential)

Sustainable Use Index

Health Index(incl. Biodiversity

change)

Ecosystem capital productivity & resilience

Service h: e.g. Water regulation/ floods

Service g: e.g. Water regulation/ purification

Service d: e.g. Fresh water provision/ green water

Service c: e.g. Fresh water provision/ blue water

Service b: e.g. Timber provision

Service l: e.g. Non-use values

Service j: e.g. Tourism inputs

Service a: e.g. Food provision

Service k: e.g. Symbolic values

Service f: e.g. Pollination

Service e: e.g. Habitat

Service i: e.g. Recreation

Service g $ valuation

Service a $ valuation

Service c $ valuation

Service b $ valuation

Service e $ valuation

Service d $ valuation

Service f $ valuation

Service h $ valuation

Service i $ valuation

Service j $ valuation

Service k $ valuation

Service l $ valuation

Integrity of ecosystem structures & functionsSustainability of ecosystem services delivery

& Ecosystem servicesProvisioning, regulating& socio-cultural services

Source: J.L. Weber17/02/2020

©VITO

Page 13: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

EARTH OBSERVATION : SPATIAL & TEMPORAL COVERAGE

17/02/2020

©VITO 13

Context Method Results Next Conclude

Source: http://www.acgeospatial.co.uk/natural-capital-earth-observation/

Page 14: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

land.copernicus.eu/global/lcviewer

DYNAMIC GLOBAL LAND COVER LAYERS

Discrete Map (23 classes)

Collection Status Spatial Temporal Sensor Training Points Accuracy1

1 Demonstration Africa 2015 PROBA-V 26.000 (‘15) 74%

2 OperationalDemonstration*

GlobalAfrica

20152015 – 2018

PROBA-V 141.000 (‘15) 80%

3 In production Global 2015 – 2019 PROBA-V, Sentinel-2 155.000 (‘15) 80%

- Planned Global 2019 – … Sentinel-1, Sentinel-2 tbd (‘20) Target ≥80%(*) under release test (1) independent validation per CEOS-LPV

Quality Indicators(*) example over Africa, global maps under release test

Input data QI

Algorithm QI (7)

Spatial AccuracyMap*

Continuous Covers

Bare Snow

Crops Tree

Grass Urban

Moss Permanent water

shrub Seasonal water

A systematic SERVICE providing a DYNAMIC, YEARLY,

USER- ORIENTED product at GLOBAL scale

@ 100m resolution from 2015 onwards

10 Continuous Covers (0-100%)Permanent water is derived from GSWE (Pekel et al.)

Built-up is derived from WSF (Marconcini et al.)

[regional 30m to 1984][ESA WorldCover 10m]

Context Method Results Next Conclude

17/02/2020

©VITO

100m=1ha

Page 15: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

KYRGYZSTAN , AN EXAMPLE

17/02/2020

©VITO 15

Forests 0 – 100%

Grassland 0 – 100%

Cropland 0 – 100%

Built-up 0 – 100%

Bisjkek

Page 16: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

THE ENCA SYSTEM (PLATFORM)

17/02/2020

©VITO 16server clients

https://terrascope.be/en

Automated workflows

Satellite images

Hotspots

Socio-economicdata and statistics

(by regions)

Classify, aggregate

& map

Extrapolate

Overlay & integrate

Data input Data assimilation(e.g. within 1 ha grids)

Accounts integration, analysis & reporting at

various scales

Statistical & geographical

referencedatasets

Extract, cross-check

codification

Disaggregate & map

Data from monitoting stations, samples

Data QA/QC, analysis & processing

➔ ➔

Analyse & process

Generalisedmonitoring data

Administrative divisions,

management areas…

Data extraction

Socio-ecological units, river catchments or risk perimeters…Data model

Collect

Tables

Graphs

Maps

Context Method Results Next Conclude

Page 17: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

ENCA INITIAL RESULTS : FOUTA DJALLON (NOV 2019)

17/02/2020

©VITO 17

Land Cover

C

carbon

W

water

I

infrastructure

Ecosystem capital capability

Biophysical accounts of systems(by spatial units)

NLEP

Net landscape ecosystem potential (first step of

ecosystem infrastructure functional services)

Limited

Context Method Results Next Conclude

Page 18: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

FDH LEAC INITIAL RESULTS

17/02/2020

©VITO – Not for distribution 18

10 21 22 24 29 31 32 33 34 35 36 41 51 55 99 Unit: hectare

LAND COVER ACCOUNTS 2000-2015

Data source : ESACCI LC 300m reclassified

Region : Fouta Djallon

RUN : 07

Date : 2019.11.19

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& a

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TO

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STOCK LAND COVER 2000 35490 4249792 0 4901861 13320 20947538 7744168 3485 46509 0 0 5672 296554 0 0 38244389

lcf1 Artificialisation 0 9529 0 17664 678 2215 3380 10 267 0 0 267 334 0 0 34345

lcf2 Extension de l'agriculture 10 0 0 6092 29 214221 163234 0 86 0 0 0 917 0 0 384588

lcf3 Conversions et rotations internes 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

lcf4 Gestion et altération des espaces forestiers 0 0 0 0 0 15057 323986 0 258 0 0 0 0 0 0 339301

lcf5 Restauration et création d'habitats 0 26802 0 151481 48 0 0 0 0 0 0 0 0 0 0 178330

lcf6 Changements dus à des causes naturelles et multiples 10 8297 0 12728 0 134 334 296 10 0 0 2635 9624 0 0 34068

lcf7 Autres changements des terres nca et réévaluation 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total consumption of land cover (losses) 19 44628 0 187964 754 231627 490935 306 621 0 0 2903 10875 0 0 970631

lcf9 No observed change 35471 4205165 0 4713897 12565 20715911 7253233 3180 45888 0 0 2769 285679 0 0 37273758

lcf1 Artificialisation 32750 0 0 0 0 0 0 0 0 0 0 0 1595 0 0 34345

lcf2 Extension de l'agriculture 0 170262 0 214326 0 0 0 0 0 0 0 0 0 0 0 384588

lcf3 Conversions et rotations internes 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

lcf4 Gestion et altération des espaces forestiers 0 0 0 0 0 324244 14198 76 783 0 0 0 0 0 0 339301

lcf5 Restauration et création d'habitats 0 0 0 5271 0 171809 0 0 1251 0 0 0 0 0 0 178330

lcf6 Changements dus à des causes naturelles et multiples 0 0 0 0 172 7008 24262 286 181 0 0 2158 0 0 0 34068

lcf7 Autres changements des terres nca et réévaluation 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total formation of land cover (gains) 32750 170262 0 219597 172 503061 38460 363 2215 0 0 2158 1595 0 0 970631

lcf9 No observed change 35471 4205165 0 4713897 12565 20715911 7253233 3180 45888 0 0 2769 285679 0 0 37273758

STOCK LAND COVER 2015 68221 4375426 0 4933494 12737 21218972 7291693 3542 48103 0 0 4927 287274 0 0 38244389

Net change 32731 125634 0 31633 -582 271433 -452475 57 1595 0 0 -745 -9281 0 0 0

Net change % 2000 92% 3% 0% 1% -4% 1% -6% 2% 3% 0% 0% -13% -3% 0% 0% 0%

Net turnover 32769 214890 0 407561 926 734688 529394 668 2836 0 0 5060 12470 0 0 1941262

Net turnover % 2000 92% 5% 0% 8% 7% 4% 7% 19% 6% 0% 0% 89% 4% 0% 0% 5%

Context Method Results Next Conclude

Page 19: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

FDH NLEP INITIAL RESULTS

17/02/2020

©VITO – Not for distribution 19

Net Landscape Ecosystem PotentialCapacity of ecosystem to deliver functional services

NLEP = Frag * (GBLI + Naturalis)Frag : index of land fragmentationGBLI : index of greennessNaturalis : index of conservation value

Context Method Results Next Conclude

Page 20: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

KYRGYSTAN – LAND COVER RECLASSIFIED

17/02/2020

©VITO – Not for distribution 20

Context Method Results Next Conclude

Page 21: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

KYRGYSTAN – LAND COVER FLOWS

17/02/2020

©VITO – Not for distribution 21

Context Method Results Next Conclude

Page 22: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

KYRGYSTAN – FRAGMENTATION & NATURALIS

17/02/2020

©VITO – Not for distribution 22

Context Method Results Next Conclude

Page 23: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

KYRGYZSTAN – GBLI & CHANGE 2000 - 2015

17/02/2020

©VITO – Not for distribution 23

35

-25

0

Context Method Results Next Conclude

Page 24: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

NEXT STEPS

©VITO 24

Start phase 1

Technical workshop 1 Technical workshop 2/ Policy workshop 1

Technical workshop 3/Policy Workshop 2

WCC2020 conference

Nov 2019 Jun 2020 Sept 2020 Feb 2021

End phase 1

May 2019

Kick-off

2000, 2010, 2015 … yearly

Level Etape 1 Etape 2 Etape 3

Regional(Fouta Djallon)

Infra (NLEP)

ECU (+Carbon, Water)

ECU services

Transborder(Niokolo PA)

Infra(+biodiversity)

ECU

Local(Moyen Baffing PA)

Infra (+biodiversity)

ECULand Cover

C

carbon

W

water

I

infrastructure

Ecosystem capital capability

Biophysical accounts of systems(by spatial units)

Context Method Results Next Conclude

17/02/2020

Page 25: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

CARBON ACCOUNT (RHONE VALLEY)

17/02/2020

©VITO 25

See poster Jazmín Argüello Velázquez

Context Method Results Next Conclude

Sustainable Intensity of Use

Page 26: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

WATER ACCOUNT (RHONE VALLEY)

17/02/2020

©VITO 26

See poster Jazmín Argüello Velázquez

Context Method Results Next Conclude

Changes in ecological status(weighted srkm_R, %)

Page 27: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

ECOSYSTEM CAPABILITY UNIT – ECU (RHONE VALLEY)

17/02/2020

©VITO 27

See poster Jazmín Argüello Velázquez

Context Method Results Next Conclude

Per DLCT Systems approach to ecosystem capital accounting

Intrinsic value measured throughintegrating Carbon, Water, Infrastructure

General erosion/degradation ofecosystem capital shown mainly in ForestAnd Natural Grassland

Link to GDP, services to be explored

Page 28: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

Source: NYT

ENCA-QSP IN ECOSEO, THE OBSERVATORY OF ES ON THE GUIANA(S) SHIELD

Context Method Results Next Conclude

17/02/2020

©VITO

Page 29: ENCA-QSP SYSTEM€¦ · DYNAMIC GLOBAL LAND COVER LAYERS Discrete Map (23 classes) Collection Status Spatial Temporal Sensor Training Points Accuracy1 1 Demonstration Africa 2015

CONCLUSIONS

• Methodology for integrated ecosystem account available

• Earth Observation enables the 1st level calculations

• Local datasets needed to refine, also complicates

• Thematic accounts can support accounting services

• System not restricted to single use

Thank You !Bruno [email protected]

Context Method Results Next Conclude

17/02/2020

©VITO