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IPCC Good Practice Guidance LULUCF. Chapter 2 – Land Area Representation Ronnie Milne (UK), Bubu Pateh (Gambia) + 16 Lead and Contributing authors Purpose>. Purpose. Little or no advice on area identification in 96GL

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Ipcc good practice guidance lulucf

IPCC Good Practice GuidanceLULUCF

Chapter 2 – Land Area Representation

Ronnie Milne (UK), Bubu Pateh (Gambia)

+ 16 Lead and Contributing authors

Purpose>


Purpose
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>>


Broad land categories
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>>


Ch 2 approaches to land area identification
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>>


Associated uncertainties
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>


Complete enumeration statistical identification
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>


Personal view of ch 2
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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