a VCS Mosaic REDD Methodology and Participatory Biomass Inventories

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Presentation by Steven De Gryze & Leslie Durschinger, Terra Global Capital
Measuring and monitoring, baselines and leakage, Forest Day 3
Sunday, 13 December 2009
Copenhagen, Denmark

Published in: Education, Business, Technology
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a VCS Mosaic REDD Methodology and Participatory Biomass Inventories

  1. 1. a VCS Mosaic REDD Methodology and Participatory Biomass Inventories Steven De Gryze Leslie Durschinger
  2. 2. Acknowledgements • Forestry Administration, Cambodia • Community Forestry International • PACT Cambodia • Clinton Climate Initiative • Technical Working Group on Forests and the Environment, Cambodia • Children’s Development Association, Cambodia • Buddhist Monk’s Association, Oddar Meanchey, Cambodia • Communities of Oddar Meanchey Province, Cambodia • MacArthur Foundation • DANIDA, Denmark • Clinton Climate Initiative, USA
  3. 3. Applicability of VCS methodology • Main applicability criteria – Mosaic deforestation, defined using • Minimal population density • Minimal road network • Minimal historical deforestation rate – Data must be available on historical deforestation/forest degradation – Allowable drivers and project actions are defined – No commercial timber logging before or after project starts • Allows the exclusion of long-lived wood products • Logging for domestic is still allowed • Illegal logging may have occurred in the baseline – Agricultural intensification only on land that is already under agriculture
  4. 4. Main Drivers and Actions Project Actions Strengthening Sustainable Forest Fuel-efficient Agricultural Assisted land-tenure forest use protection woodstoves intensification Natural plans Regeneration Fuel-wood ✔ ✔ ✔ collection Forest fires ✔ Crop-land ✔ ✔ ✔ ✔ conversion Settlement ✔ ✔ ✔ conversion Drivers Illegal logging ✔ ✔ Logging of ✔ ✔ timber for domestic use
  5. 5. Baseline • Baseline is based on combination of historical remote sensing analysis (fixed number of images and intervals) and a land-use change model • Includes deforestation/reforestation as well as degradation/regeneration • Historical rates determined in a reference region Size of the Minimal Size of the Project Area Reference Region < 25,000 20 × 25,000 – 50,000 10 × 50,000 – 100,000 5× • Similarity Test > 100,000 2× – Same drivers of deforestation are present – Similar landscape features (slope, aspect, etc.) – Similar land-tenure and land policies
  6. 6. Accuracy Discounting and Inclusion of Degradation • Credits are discounted according to lower confidence interval (alpha=5%) • Credits from deforestation, forest degradation and assisted natural regeneration have different accuracy, and therefore different discounting • Including forest degradation is optional and may be included after project start – Forest degradation must be detected with a minimal accuracy – Initial income from carbon can be used to purchase the necessary high-resolution imagery
  7. 7. Ex-ante Credit Estimation Relative importance Effectiveness of Annual rate of of drivers project activities project activities Annual rate for activity 5: Fuel-efficient Stoves 100% 80% 60% 40% 20% 0% 1 2 3 4 5 6 7 8 9 10 12 13 14 15 16 17 18 19 20 22 23 24 25 26 27 28 29 30 11 21 Project Year No Reduction in Def orestation/degradation 100% Compared to Baseline Rates 90% Predicted 80% 70% Deforestation Rates under Project Relative Reduction in Def orestation Rates 60% 50% 40% Scenario 30% 20% 10% Complete Elimination of Def orestation/Degradation 0% 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 Year
  8. 8. Leakage • Leakage divided into – Activity-shifting within leakage belts (monitored) – Activity shifting outside of leakage belts (ex-ante factor) – Market leakage (ex-ante factor)
  9. 9. Community-Based Monitoring • Goals – Provides employment and education/training to local communities – Reinforces integration of communities with the carbon project – Theoretically more cost-effective, dependent on accuracy • Strict QA/QC is required – Training – Re-measurement of 20% of the plots – Re-visiting of 100% of the plots to check GPS location – Requirement to take pictures of GPS device – Spot-check of 1-2 plots of every crew by professional team

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