Carbon Benefits Kds V3 07


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Carbon Benefits Kds V3 07

  1. 1. Field Measurement <ul><li>Land Health Surveillance </li></ul><ul><li>Identify where land problems exist </li></ul><ul><li>Quantify major risks to land health </li></ul><ul><li>Target agroforestry interventions </li></ul><ul><li>Evaluate the outcomes of interventions </li></ul>
  2. 2. <ul><li>Designed to provide; </li></ul><ul><li>biophysical baselines at landscape level (vegetation, soil condition) </li></ul><ul><li>a monitoring and evaluation framework </li></ul>Field Measurement the L and D egradation S urveillance F ramework
  3. 3. Sentinel Site Surveillance Framework a spatially stratified, h ie r ar c h ic a l , r a n d o mized sampling framework Sentinel site (100 km 2 ) 16 Clusters (1 km 2 ) 10 Plots (1000 m 2 ) 4 Sub-Plots (100 m 2 )
  4. 4. LDSF sampling plot ( 1000 m 2 ) <ul><li>with sub-plots ( 100 m 2 ) </li></ul><ul><li>Fast </li></ul><ul><li>Repeatable </li></ul><ul><li>Functional, interpretable </li></ul><ul><li>Applicable everywhere </li></ul><ul><li>Widely tested </li></ul><ul><li>With local communities </li></ul>
  5. 5. Shrub biovolume by block & cluster UNEP-ICRAF West Africa Drylands Project
  6. 6. Allometrics <ul><li>Biovolume to biomass to C </li></ul><ul><ul><ul><li>Trees, shrubs, Species </li></ul></ul></ul><ul><ul><ul><li>Belowground woody biomass </li></ul></ul></ul><ul><ul><ul><li>Tapering coefficients; fractal branching </li></ul></ul></ul><ul><ul><li>Infrared spectroscopy for wood moisture and density </li></ul></ul><ul><li>Improved wood density databases </li></ul><ul><li>Protocols for local calibrations </li></ul>
  7. 7. Small chambers will be used to measure the fluxes of N 2 O, CO 2 and CH 4 to generate default factors for N 2 O and to estimate the soil respiration flux under different land uses Trace Gas Measurements
  8. 8. Soils Measurement Infrared Spectroscopy for rapid soil characterization <ul><li>Rapid </li></ul><ul><li>Reproducible </li></ul><ul><li>Low cost </li></ul><ul><li>Predicts soil carbon & functional soil properties </li></ul>
  9. 9. Soil infrared spectroscopy labs FT-NIR Salien Tanzania Chitedze Malawi Sotuba Mali Maputo Mozambique ICRAF reference and support lab Nairobi Future locations FT-MIR VNIR
  10. 10. Local (site-level) C ref Digital mapping of soil carbon 10 km UNEP-ICRAF West Africa Drylands Project
  11. 11. Randomization of Sentinel Site locations stratified by climate A Globally Integrated African Soil Information Service A globally integrated, evidence-based, and dynamic soil health information service that provides management, planning and policy-relevant soil information for the non-desert portions of Sub-Saharan Africa .
  12. 12. eastern western Fort Tenan Remote Sensing
  13. 13. Eastern Sites
  14. 16. Western Sites
  15. 18. Why are Earth Observation Systems as Measuring & Monitoring Tools Possible Now? <ul><li>High resolution data are available via satellites and enables greater and more accurate information </li></ul><ul><li>Increased numbers of satellites means higher resolution images at lower cost </li></ul><ul><li>Detailed land use information is available at the global level allowing access to remote areas </li></ul>
  16. 19. Key Elements of Measurement <ul><li>Ground measurements provide calibration and detailed sample frame analysis </li></ul><ul><li>Remote sensing takes the ground samples to extrapolate spatially to the landscape </li></ul><ul><li>Remote sensing characterizes spatial heterogeneity and land use </li></ul><ul><li>Spectral analysis provides rapid soil carbon measurement </li></ul><ul><li>GIS provides the data base framework for organizing spatial data </li></ul><ul><li>Carbon and nitrogen models provide ex ante calculations and detailed accounting </li></ul><ul><li>Web-enabled geospatial information systems to provide local and global access </li></ul>
  17. 20. WWW Ground measures Local communities Remote measures Satellite – ground integration Analysis GEF (markets) TRFIC Technologies Carbon2Markets tools
  18. 21. <ul><li>Integration of in situ carbon and nitrogen with imagery </li></ul>Mature tress Plantation plot New trees samples
  19. 23. Biophysical measurements Forest density and type mapping in Thailand
  20. 24. Leaf Area Index can be used as an Input to NPP-Carbon models
  21. 25. Hyper-rez tree crown detection
  22. 26. Detailed View ETM+ (4,3,2)
  23. 27. Detailed view VCF 30m
  24. 28. Region east of Kingaroy, north of Nanango
  25. 29. Zoom in at high resolution
  26. 30. Region east of Kingaroy, north of Nanango. Small blue dots are waypopints. White is non forest/trees. Carbon sequestration range: 4-8 tCO2e per ha per yr (light to dark)
  27. 35. Carbon Benefits Modeling, Measurement and Monitoring Application of the Tools from Component B
  28. 36. Forest Slashed Burning Agriculture, grass Agriculture, bare soil The tools can be used to measure changes in carbon associated with land use change
  29. 37. Link space mapping and ground measurements to carbon accounting models and databases <ul><li>Models provide systematic accounting for carbon </li></ul>
  30. 38. The tools could be applied for meeting the needs of marketing C from rural development projects <ul><li>2005 $12 Billion </li></ul><ul><li>2006 $30 Billion </li></ul><ul><li>2007 $64 Billion </li></ul><ul><li>2008 $116 Billion </li></ul><ul><li>2025 $1 Trillion (Financial Times) </li></ul>For reference: Current ODA = $92 Billion Global C markets
  31. 39. The tools can be used to assess ecosystem degradation in a quantitative way in landscapes and target interventions Forest degradation Erosion Soil fertility High grazing pressure
  32. 40. Best Practices Support on Where to plant – trees suitable for your area Which to plant – sources of tree seeds How to plant – good tree nursery practices What to plant – trees suitable for your purposes How to engage communities and scale up
  33. 41. The right tree for the right place 1. Trees for Products 2. Trees for Services fruit firewood medicine income sawnwood fodder soil fertility carbon sequestration soil erosion watershed protection shade biodiversity
  34. 42. The tools will help develop an assessment of the full GHG balance of different management systems Pine – coffee – banana system – Java Intensive poplar agroforestry system
  35. 43. Eventually expand measurement and monitoring to other types of projects - e.g. REDD, SFM