understanding environmental ‘hotspots’ for non-renewable … · 2016-01-26 · 08 december,...
TRANSCRIPT
Understanding Environmental ‘Hotspots’ for Non-Renewable
Biomass
Rob Bailis, Rudi Drigo, Omar Masera, Adrian Ghilardi
COP21 Side Event- Tuesday 8 December, 2015 Evaluating the Health and Climate Benefits
of Clean Cooking Solutions
08December,2015
Why think about “non-renewable biomass”?
2Environmental‘Hotspots’forNon-RenewableBiomass
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What is “non-renewable biomass”?
3Environmental‘Hotspots’forNon-RenewableBiomass
PICs:CO,CH4,
VOCs,BC,OC…
08December,2015
What is “non-renewable biomass”?
4Environmental‘Hotspots’forNon-RenewableBiomass
CO,CH4,VOCs,BC,
OC…CO,CH4,VOCs,BC,
OC…
08December,2015
What is “non-renewable biomass”?
5
Biomass harvested in excess of the landscape’s productive capacity is non-renewable.
Environmental‘Hotspots’forNon-RenewableBiomass
If the landscape can produce in a year,
But we harvest this,
Then NRB = + +
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What is “non-renewable biomass”?
6
We can estimate emission reductions using the ratio of NRB to total consumption or “fNRB”
Environmental‘Hotspots’forNon-RenewableBiomass
fNRB = +
For example, the GS methodology uses fNRB like this:
08December,2015
Is this really a problem? In the 70s and 80s, woodfuels were considered major drivers of deforestation…
7Environmental‘Hotspots’forNon-RenewableBiomass
By the 1990s a different story emerged…
The “Other Energy Crisis”
Worldwatch 1975
...leading to “treeless wastes in peri-urban areas in many parts of Africa”
FAO 1978
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More recent studies? Still ambiguous…
Woodfuels are… “not a significant cause of deforestation” and provide “important livelihood opportunities” in Botswana
Hiemstra-Van der Horst & Hovorka, 2008
causing “severe deforestation” in India (Uttarakhand) Singh et al., 2010
driving “wave-fronts” of degradation in Tanzania Ahrends et al., 2010
“adapted to changing circumstances” and likely to provide “continued cheap fuel supply” in Mali
Hansfort & Mertz, 2011
8Environmental‘Hotspots’forNon-RenewableBiomass
08December,2015
Project developers assume the worst…
9Environmental‘Hotspots’forNon-RenewableBiomass
Global median fNRB of 287 carbon projects is 88%
84%
88%
91%
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Can we get a clearer picture? ! How sustainable is woodfuel
consumption?
! Where are likely woodfuel “hotspots” and how many people are affected?
! What are climate impacts and potential for mitigation?
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Project Scope
! “Global” assessment: 88 countries; 1482 sub-nat’l units
! Based on “WISDOM” methodology
! 3 meso- and local-scale case studies
! Local case studies are dynamic 11
Honduras
Karnataka,India
Kenya
Environmental‘Hotspots’forNon-RenewableBiomass
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Results of the global assessment
12Environmental‘Hotspots’forNon-RenewableBiomass
• Current woodfuel demand is ~1.4 Gton/yr
• Global NRB is 300-350 Mton/yr
NRB
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Results of the global assessment
13Environmental‘Hotspots’forNon-RenewableBiomass
• Global fNRB 27-34% • 1.0-1.2 GtCO2e
• ~2% global emissions • Hotspots: fNRB > 50% in E Africa, S Asia
• 275 million people affected
fNRB
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Web-based map: http://redd.ciga.unam.mx/webtool/
14Environmental‘Hotspots’forNon-RenewableBiomass
But why stop here?
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Meso-scale studies
15Environmental‘Hotspots’forNon-RenewableBiomass
! Same approach with more detailed data, expert consultations, etc ! Incorporate more contextual assumptions ! “Validate” global assessment
KenyaKarnataka
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NRB.v1.0 – Model for local analyses
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! Dynamic simulations
• Explicit LUC component
• Uncertainty and stochasticity
! All freeware platforms
! 3 levels of user interaction:
1. Use default supply data, input basic demand parameters (no GIS expertise needed)
2. Input some supply parameters from a given study area (some GIS expertise needed)
3. Customize geoprocessing algorithms (GIS and R- expertise needed)
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Local scale: data from real people
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Wood collectors’ paths in Central Karnataka
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“Wastelands”
Fallows
Cropland
Environmental‘Hotspots’forNon-RenewableBiomass
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! Using empirical measurements of: • Fuel consumption • Biomass growth • Travel velocities etc etc…
20Environmental‘Hotspots’forNon-RenewableBiomass
Model Outputs
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! Argentina
! Kenya
! Mexico
! Ghana
21Environmental‘Hotspots’forNon-RenewableBiomass
NRB.v1.0 workshops
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Next steps…
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Research ! Validate model using independent datasets and
field assessments ! Incorporate multiple LUC drivers
! Add behavioral elements to dynamic model Outreach
! Make modeling more user-friendly for non-technical practitioners
! Trainings and workshops ! Advocate change in C/VER methodologies?
Environmental‘Hotspots’forNon-RenewableBiomass
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For more information:
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! NRB case studies in 20+ countries • http://www.wisdomprojects.net/global/cs.asp
! Global NRB Assessment • http://www.nature.com/nclimate/journal/vaop/
ncurrent/full/nclimate2491.html • http://www.wisdomprojects.net/global/
csdetail.asp?id=31 ! Global NRB map
• http://redd.ciga.unam.mx/webtool/ ! NRB.v1.0 – coming soon
Environmental‘Hotspots’forNon-RenewableBiomass
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Thank You!
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Intermediate-scale analyses
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• PotenValsupplywasconsistentlyhigherinTier2assessment• DemandwasalsohigherexceptinNbiandCoast(urbaninfluence)• NRBwaslowerinallProvincesexceptCentral
ComparisonofProvincial-levelresultsinKenya
R²=0.97924
0
5,000
10,000
0 5000 10000
Tier2
PotenValSupply(ktons/yr)
R²=0.82151
0
4,000
8,000
0 4,000 8,000
Tier1
Demand(ktons/yr)
R²=0.98885
0
4,000
8,000
0 4,000 8,000
NRB(ktons/yr)
FromDrigo,Bailisetal,(2015)