data needs & mapping the non-carbon benefits of redd+ land cover symposium june 2013
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Data needs & mapping the non-carbon benefits of REDD+
Land Cover SymposiumJune 2013
Niklas Hagelberg, UNEP
REDD+ and Multiple Benefits • When forests are retained or restored through REDD+, they deliver additional benefits to protecting or enhancing carbon stocks.
Types of multiple benefits1. Ecosystem services 2. Biodiversity conservation 3. Livelihood and social benefits
Why map multiple benefits?- Biodiversity and ecosystem services are spread unevenly across space- Spatially explicit data can help identify areas of importance for multiple benefits- Monitoring of impacts of REDD+ decisions (safeguards)
Multiple benefits mapping: Nigeria
Density of existing carbon stocks (brown)Important Bird Areas (green)Gorilla ranges (orange)Chimpanzee ranges (yellow)
Carbon and Biodiversity
Multiple benefits mapping: Tanzania
Where are major wildlife corridors located and how do they correspond with natural forest, carbon stocks and areas under protection?
Map sources:Biomass: NAFORMA woody biomass only. 5km preliminary datset base on field data only.Natural forest: NAFORMA landuse landcover map 2010.Wildlife corridors based on information provided at tzwildlifecorridors.orgProtected Areas and Forest Reserves: TFS and WDPA 2013.
Where has harvesting of non-timber forest products been observed?
Example: Households that use food from the forest
Map sources:Natural forest: NAFORMA landuse landcover map 2010.Biomass: NAFORMA woody biomass only. 5km preliminary datset base on field data only.NTFPs, NAFORMA 2013.
Multiple benefits mapping: Tanzania
Spatial decision support software for land-use planning
• Countries face complex challenges when designing REDD+ land-use plans• REDD+ strategies must take into account other pressures, e.g. urban expansion/ agricultural development /mineral extraction• Where and how REDD+ is implemented has the potential to increase multiple benefits, or create a risk to them
Computer programmes (software) can be used to support the land-use
planning process
E.g. Using Marxan for REDD+• Marxan is a type of spatial decision support
software• Marxan can be used to demonstrate where
priority areas for REDD+ interventions should be when there are too many considerations for the solution to be obvious.
• This map of DRC illustrates the overlap between great ape ranges, IBAs and carbon: Marxan can take it a step further:
• Deforestation trends & valuation• Marxan can seek to preserve from this map
50% of Great ape ranges and 5Gt of carbon• Even with just 2 objectives, this would be
difficult for a human to analyse all of these options and present the optimum one
Other data needsSocial data, e.g.:- Poverty data - Population density - Children/youth as a % of the total population - Percentage of population employed in forestry/
farming/ agricultural sectors - Indigenous territories- Distribution of communities leading traditional
lifestyles
However, much of this social data doesn’t exist/ and/or is not available in a spatial format
Global Forest Watch 2.0
• Builds on DETER• MODIS & Landsat • Identification/alerts of deforestation hotspots• Combined with mobile apps & social media• Supply chains• WWW.GFW-BETA.ORG
Niklas Hagelberg
niklas.hagelberg@unep.org
Thank YouWebsite: http://www.un-redd.org
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