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Effective Approach to Land Area Identification in Land Use and Land Use Change Activities

This chapter provides guidance on identifying land areas associated with land use and land use change activities, categorizing them into forest land, cropland, grassland, wetland, settlements, and other. It outlines three approaches for area identification, emphasizes uncertainties, and recommends statistical methods. The systematic approach minimizes errors and enhances the association of above and below-ground pools, crucial during land use changes.

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Effective Approach to Land Area Identification in Land Use and Land Use Change Activities

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  1. IPCC Good Practice GuidanceLULUCF Chapter 2 – Land Area Representation Ronnie Milne (UK), Bubu Pateh (Gambia) + 16 Lead and Contributing authors Purpose>

  2. Purpose • Little or no advice on area identification in 96GL • Advice on how to make best use of information existing or newly gathered on areas associated with LU/LUC activities vi land categories>>

  3. Broad Land Categories i) Forest land ii) Cropland iii) Grassland iv) Wetland v) Settlements vi) Other These broad categories set a framework, to be sub-divided by ecosystem type and management regime as required by guidance in Ch 3 and 4 taking account of national circumstances. 3 Approaches>>

  4. Ch 2 Approaches to land area identification • Approach 1 – harmonised existing data sources, area cross checks – no LUC matrix • Approach 2 - Direct survey of LUC, harmonised data, area cross checks, LUC matrix, not spatially explicit • Approach 3– Complete enumeration or statistical identification of areas, area cross checks, LUC matrix, spatially explicit Uncertainties>>

  5. Associated Uncertainties • Approach 1…few % to 10% on area by activity; greater % uncertainty on changes in area • Approach 2…few % to 10% on area or changes in area by activity • Approach 3 …as Approach 2 but spatial data available Stats/enumeration>

  6. Complete Enumeration / Statistical Identification • Sampling inevitable, even with remote sensing to deal with potential misclassification • Balance depends on national circumstances (resources, history of data collection, accessibility) Personal view>

  7. Personal view of Ch 2 • Supplies key missing element from 96GL • Systematic approach will minimise errors • Rationalisation via land classification will help association of above and below ground pools, especially important during LUC.

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