assessing land‐use change in ireland using a high resolution spatial database:
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Assessing land‐use change in Ireland using a high resolution spatial database: The potential of the Land‐Parcel Identification System (LPIS) Jesko Zimmermann 1, *, Phillip O’Brien 2 , Stuart Green 3 , Ainhoa Gonzales del Campo 1,4 , Michael B. Jones 1 and Jane Stout 1,4 - PowerPoint PPT PresentationTRANSCRIPT
Assessing land‐use change in Ireland using a high resolution spatial database: The potential of the Land‐Parcel Identification System (LPIS)
Jesko Zimmermann1,*, Phillip O’Brien2, Stuart Green3, Ainhoa Gonzales del Campo1,4, Michael B. Jones1 and Jane Stout1,4
1School of Natural Sciences, Trinity College Dublin2Climate Change Unit, EPA, Richview, Dublin
3 Spatial Analysis Unit, Teagasc, Ashtown4Trinity Centre for Biodiversity Research, Trinity College Dublin*[email protected]
BackgroundThe role of vegetation cover and soil in the carbon cycle is well understood. Global emissions have been estimated to be around 0.5 - 2.7 Gt C yr-1 (1990 - 2000), with a long-term loss of 124Pg C to the atmosphere. Major sources of emission are land-use change from forestry to agriculture and form grassland to cropland., though reversing the processes can foster carbon sequestration. Therefore, land-use and land-use change related greenhouse gas dynamics are covered by article 3.4 in the Kyoto protocol.
Figure 1: Land-use dependency of greenhouse gas dynamics. Dynamics in grassland are strongly depending on land-use history. (Image from Google Earth)
The land-parcel identification systemSpatial database originally created to help authorities and farmers with single farm payment scheme.Spatially explicit information on land-use for each parcel allows for:• Including spatial context into grassland classification, adding auxiliary information.• Allows tracking change of single parcels through time.
Limitations:LPIS was designed for different purpose, therefore a number of limitations exist:• Parcels duplication (e.g. commonage). • Ambiguous land-use classification. • Changes of parcel outlines through time. • No unique land-parcel identification codes for temporal tracking.
Figure 2: Image of land-parcels as present in the land-parcel identification system (Year 2012).
Figure 3: Land-use categories for the Republic of Ireland (2012 data).
Figure 4: Amount of land-use changes in stable parcels between 2000 and 2012.
Adapting LPIS
Raw LPIS data
Manual removal of large
faulty parcels
Removal of duplication
parcels
Assignment of land-use classes
Assignment of unique
IDs
Suitable for reading out land-use and land-use change
ConclusionsLPIS has a strong potential for assessing land-use and land-use change with regards to greenhouse gas dynamics, as it allows for spatial tracking of single land-parcels, allowing to overlay auxiliary data, and land-use change tracking. However it requires a number of adaptations to be suitable for this purpose. Furthermore, not all land-use classes within the dataset are suitable (e.g. forestry which does not comply for EU subsides and is therefore only sparsely reported in LPIS).
The challengeCurrently land-use and land-use change in Ireland are estimated from national statistical data provided by the Central Statistics Office (CSO). Data only offers absolute areas and is not spatially explicit. This leads to a number of limitations:• Not accounting for management practices• No inclusion of spatially explicit auxiliary data (e.g. soil, climate) • Inaccuracy due to assumptions when modelling land-use change from changes in
absolute areas.