Recommandé
Contenu connexe
Similaire à Cn tu12 3_isric_wocat-lada-desire_mapping_vanlynden
Similaire à Cn tu12 3_isric_wocat-lada-desire_mapping_vanlynden (18)
Plus de Erik van den Elsen
Plus de Erik van den Elsen (20)
Dernier
Dernier (20)
Cn tu12 3_isric_wocat-lada-desire_mapping_vanlynden
- 2. 2 Degradation: What do we know...? A lot!
- 3. 3 And much is being done about it... € $ ¥ £ € $ ¥ £ € $ ¥ £ € $ ¥ £ € $ ¥ £ € $ € $ ¥
- 5. 5
- 6. 6
- 7. 7
- 8. 8 Land Use System (LUS) Type Area trend Intensity trend Mapping Land Degradation and SLM • Method jointly revised with LADA and DESIRE • More emphasis on impact on Ecosystem Services, direct and indirect causes • Being tested in 6 LADA pilot countries (national level) • Applied in 18 DESIRE study sites (local level) • Additionally tested in Tajikistan and Switzerland (village level) Mapping Unit
- 9. 9 Degradation / Mapping unit SLM / Mapping unit Type Name / Group / Measure Extent (area) Extent (area) Degree Effectiveness Impact on ecosystem services (type and level) Impact on ecosystem services (type and level) Direct causes Indirect causes Degradation addressed Recommendation Mapping Degradation and Conservation
- 10. 10
- 11. 11
- 12. 12
- 13. 13
- 14. 14
- 15. 15
- 16. 16
- 17. 17
- 18. 18
- 19. 19 Some challenges! • How to visualise “dominant” degradation (or conservation) types in case of combinations or multiple types / unit: Mapping Unit ID a) Type b) Extent c) Degree d) Rate i ii iii 13 Wt Wg Wo 30 2 0 13 Ha Hg Hq 70 3 -99 14 Wt Wg Wo 30 2 0 14 Ha Hg Hq 60 3 0 15 Ha Hg Hq 60 3 0 15 Wt Wg Wo 30 2 0 • Show each combination? ( too many legend units) • Show dominant types only ( what is dominant: highest degree, highest extent,…) • …?
- 20. 20 Some (more) challenges Degradation g) Impact on ecosystem services P1-1; E3-1; E6-1; S6-1 P1-1; P2-1; E1-1; E6-1; S6-2; E5-1 P1-1; P2-1; E1-1; E6-1; S6-2; E5-1 P1-2; P2-2; E1-2; E6-2; S6-2; E5-1 Conservation g) Impact on ecosystem services P2+1, E1+1, S7+1 E3+1, E4+1, E6+1 E1+2, S3+1, P3-1 P2+1, E1+2, S7+2 • How to display complex multiple data like Impact on ES? 5-URBAN 0 50 100 BIOMASS (ACC) BIOMASS (Y) SOIL HEALTH WATER Q/QBIODIVERSITY ECONOMIC BENEFIT SOCIAL BENEFIT 4-SUST. AGRICULTURE 0 50 100 BIOMASS (ACC) BIOMASS (Y) SOIL HEALTH WATER Q/QBIODIVERSITY ECONOMIC BENEFIT SOCIAL BENEFIT Sustainable Agriculture Urbanisation
- 21. 21 Some (remaining) challenges • Area calculations and summary/analysis • Quantification and verification • Use RS and modelling to improve the system Sustainable Agriculture Urbanisation
- 22. 22 Websites – www.desire-project.eu – www.wocat.net – www.fao.org/nr/lada/ – www.isric.org Thank you