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Data and transparency to support REDD+


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Presented by Martin Herold (Wageningen University) on COP24, Katowice, Poland (6 Dec 2018)

Published in: Environment
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Data and transparency to support REDD+

  1. 1. Martin Herold, Wageningen University Data and transparency to support REDD+
  2. 2. The contributions by forests should not be “discounted” due to fears of permanence… • Terrestrial sinks remove around 30% of human-caused emissions, are naturally adaptive, and the only carbon capture and storage proven to work at scale and reasonable cost • Reversals can occur in any sector—and are tracked through the Paris Agreement and long-term reporting of GHGs through national inventories • Shorter term accounting frameworks (e.g. trading mechanisms) require data and tools to manage risks of reversals, and these have been developed and tested Forests: A Permanent Contribution to the Paris Agreement Sandro Federici, Donna Lee, Martin Herold Report available at:
  3. 3. sector-exploring-the-role-of-independent-monitoring-approaches/ • Transformational change requires information, engagement and performance • Enhancing transparency framework • UNFCCC global stocktake • Catalyst to stakeholder participation & joint learning • Independent assessment and accountability for sustainable land use • Transparent monitoring is not a “system”, it is a variety of practices
  4. 4. REDD+ monitoring training materials ➢14 modules (lectures, country examples, exercises) ➢3 Languages (English, French, Spanish) ➢30+ authors, regular updates incl. scientific synthesis ➢Training the trainer workshops planned next year
  5. 5. Land use following tropical deforestation FAO FRA remote sensing survey data 1990-2005 (analysis: Sy et al., 2015, ERL, data:
  6. 6. 2019 Refinement of the IPCC GPG: updating biomass defaults ▪ Partnership: research, countries, FAO/UN-REDD, Worldbank FCPF ▪ Research network plots in humid tropics ▪ NFI’s make a big difference for Africa ▪ Improved default values for tropics/sub-tropics incl. young/old secondary and primary forests ▪ Use of space-based biomass estimation South America Africa Asia Tropical wet Primary 604 349 214 Secondary >20 years 328 62 94 Secondary ≤20 years 513 29 88 Tropical moist Primary 147 25 11 Secondary >20 years 185 7052 60 Secondary ≤20 years 353 Tropical dry Primary 33 9216 36Secondary >20 years 72 Secondary ≤20 years 44 Tropical shrubland Primary 19 Secondary >20 years 2607 Secondary ≤20 years Tropical mountain system Primary 106 64 30 Secondary >20 years 21 1852 14 Secondary ≤20 years 114 36 Subtropical humid Primary 29 Secondary >20 years 26 Secondary ≤20 years 5 Subtropical dry Primary Secondary >20 years Secondary ≤20 years Subtropical steppe Primary Secondary >20 years Secondary ≤20 years Research plots NFI plots, or both No data Value = number of plots
  7. 7. Sentinel-1 radar provides cloud-free information updated up to every 6 days - Example from Riau, Indonesia Natural forest Plantations Old clearing New clearing Sentinel -1 Radar alerts • Open source tool • Gap-free and consistent information in near real-time Weekly Sentinel 1 Radar alerts 2016-18, Riau, Indonesia
  8. 8. Data and transparency to support REDD+ 1. Open data, tools and guidance as catalyst for: • Enhancing transparency under Paris Climate Agreement • Underpinning country capacities • Stakeholder engagement and “local” solutions • Accountability for sustainable and climate smart land use activities 2. Local/spatial explicit tracking of performance becomes more feasible 3. Available data sources are underused for assessing mitigation options and support implementation/enforcement