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Developing MRV systems for REDD+

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Developing MRV systems for REDD+

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Presented by Veronique (Niki) De Sy at a workshop on 'Sharing insights across REDD+ countries: Opportunities and obstacles for effective, efficient, and equitable carbon and non-carbon results' from 21-23 February 2017 in Naypyidaw, Myanmar.

Presented by Veronique (Niki) De Sy at a workshop on 'Sharing insights across REDD+ countries: Opportunities and obstacles for effective, efficient, and equitable carbon and non-carbon results' from 21-23 February 2017 in Naypyidaw, Myanmar.

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Developing MRV systems for REDD+

  1. 1. Developing MRV systems for REDD+ Knowledge sharing workshop Myanmar 23 February, Dr. Veronique (Niki) De Sy
  2. 2. A national REDD+ MRV system National International Local principles and procedures specified by the IPCC Good Practice Guidelines and REDD+ framework needs and priorities of the national REDD+ policy and implementation strategy; support for REDD+ activities on the ground
  3. 3. Area Change and remote sensing capacity 2015 Forest inventory capacity 2015 (Source: Romijn et al. 2015, Forest Ecology & Management)
  4. 4. Module 3: Forest monitoring, measurement, reporting and verification  How to incorporate multiple drivers of deforestation and forest degradation into MMRV, evaluation and RELs  Better AFOLU information: ● better data and assessment on mitigation policy options ● the role of forests in setting country targets and planning mitigation activities in the broader land use sector  MMRV capacity: ● Stakeholder needs & gaps ● Independent/transparent monitoring
  5. 5. The role of Earth Observation 5 Forest information product Local pilot and research studies Large area research demonstrations Operational use on national level Forest area change monitoring +++ +++ ++ Near-real time deforestation detection ++ + + Land use change patterns and tracking of human activities ++ + + Forest degradation monitoring ++ + + Monitoring of wildfires and burnt areas +++ ++ + Biomass mapping +++ ++ - Sub-national hotspot monitoring +++ + + Forest type mapping + - - (Source: De Sy et al. 2012, COSUST)
  6. 6. Direct drivers of deforestation 6 1990 - 2005
  7. 7. Direct drivers of deforestation 7 1990 - 2005
  8. 8. Example Indonesia 8 32% 34%0% 2% 11% 3% 18% (Source: Romijn et al. 2013, Environmental Science & Policy)
  9. 9. Hotspots of AFOLU (Agriculture, Forests and Other Land Uses) emissions (Source: Roman-Cuesta et al, 2016, BGS) Emission sources
  10. 10. Above ground biomass of woody vegetation Source: Avitabile et al. 2016, GCB • An integrated pan‐tropical biomass map using multiple reference datasets • Novel data fusion approach • Reduced bias at regional scale • Possible to apply with own reference data Data available at lucid.wur.nl
  11. 11. lucid.wur.nl
  12. 12. Global wetlands http://www.cifor.org/global-wetlands/ 12
  13. 13. Global wetlands 13
  14. 14. Change Magnitude high low 2005-62006-72007-82008-92009-102010-112011-12 SPOT5: Feb 2011 (band2) Monitoring Period: breakpoint (mid-2009) BFAST Monitor http://bfast.r-forge.r-project.org/ (Source: DeVries et al., 2015, RSE)
  15. 15. Interactive monitoring: local expert monitoring versus remote sensing (Source: Pratihast et al. 2014, Forests)
  16. 16. Interactive monitoring system design • Operational monitoring in Kafa, Ethiopia in near-real time mode since Oct. 2014 • Inception for system at national and local level in Peru – joint research incl. multi-level governance (Source: Pratihast et al., 2016, PLOS One) http://www.wageningenur.nl/cbm
  17. 17. Community-based forest monitoring http://www.cbm.wur.nl
  18. 18. LiDAR  http://www.youtube.com/watch?v=UNX94wh9KgQ
  19. 19. Other resources  World Bank & GOFC-GOLD training materials  GOFC-GOLD sourcebook  Global Forest Observations Initiative (GFOI) Methods and Guidance Document (MGD) and REDDCompass  FAO Open Foris software tools  World Bank FCPF & Winrock REDD+ Decision Support Toolbox  BFAST Open-source toolbox for forest change monitoring  Boston Education in Earth Observation Data Analysis (BEEODA)  Interactive, mobile-based forest monitoring tool (MobIFM) 20
  20. 20. Post-Paris and land use sector • Forests strong in Paris agreement (Art. 5) • Efforts should not harm food production (Art.2) • Land use sector is unique in its large negative emissions potential (forest sinks) • Bottom-up process • Monitoring issues: • Regular stock-taking by countries • Transparency • Implementation of climate smart land use activities
  21. 21. There is a need for monitoring approaches (i.e. unbiased data, tools and methods) that stakeholders involved in land-use sector mitigation activities can rely on for their own goals, but which would also be perceived as transparent and legitimate by others and support accountability of all stakeholders in the framework of the Paris Agreement.
  22. 22. Independent transparent monitoring  not a specific tool, a single system or a one-serves-all approach  diversity of approaches and initiatives: ● increase transparency ● broaden stakeholder participation ● Increase confidence  free and open methods, data, and tools - complementary to mandated reporting by national governments.  Infobrief: “Enhancing transparency in the land use sector: the role of independent monitoring” Online at http://dx.doi.org/10.17528/cifor/006256 or http://www.cifor.org/library/6256/enhancing- transparency-in-the-land-use-sector-exploring-the-role-of-independent-monitoring-approaches/
  23. 23. Summary & looking forward  Different roles of MMRV & NFMS in REDD+  Transparency is key for Paris agreement  Ongoing/upcoming research: ● Emission factors (remote sensing & field work) ● Drivers of deforestation ● RELs ● Forest sinks and restoration  Contribution of remote sensing, open data & tools National International Local
  24. 24. Questions? Dr. V. De Sy niki.desy@wur.nl Dr. C. Martius c.martius@cgiar.org Prof. Dr. M. Herold martin.herold@wur.nl www.cifor.org/gcs/ lucid.wur.nl

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