Climate Smart Agriculture -ASB World Bank Presentation
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Transcript of Climate Smart Agriculture -ASB World Bank Presentation
Strategic Planning for Climate-Smart Landscapes
Part I: Climate Smart Agriculture and Landscape Approaches
Peter A Minang, Douglas White
About ASB • What is ASB?
– Consortium of over 50 Institutions (International, Universities and National) created in 1994
– Research on Forest-Agriculture-Environment interactions along tropical forest margins
• Goal – To raise productivity and income of rural households in the humid tropics
without increasing deforestation or undermining essential environmental services.
• Research Programmes – Landscape approaches to REDD+, Reducing Emissions from All Land Use- REALU
– Synergies between Mitigation & Adaptation for Rural Transformations 2-SMART
– Swiddens in Poverty Reduction, Climate and Environmental Services- SPACES
WWW.ASB.CGIAR.ORG
Mosaic Landscapes in Indonesia and Kenya: The dominant reality
Why Landscape Approaches for CSA?
1. CSA practices and activities will be part of landscapes and compete against other land uses. Hence tradeoffs and synergies need to be understood
2. Synergy between REDD+ and CSA
can lead to greater emission reductions and multiple productivity and resilience benefits
3. Farm level change is necessary but not sufficient. Communal use of resources and associated externalities (sedimentation, deforestation, biodiversity loss) requires coordinated social efforts. Higher level policy is also needed to enable scaling-up
4. Scaling-up CSA requires cross-
sectoral action and policy support at multiple scales
What constitutes Landscape Approaches?
• Heterogeneity (Mosaic of Landuses)
• Integration – Synergies, trade-offs – Multiple sectors, participants – CSA vs REDD vs NAMA vs … – Multiple practices – Mitigation and adaptation
• Scale – Appropriate Scale? – Multiple scales (3 nested
scales) – What problem?
Why? • For Analyzing and
Understanding REDD+ • For Planning and
Implementing REDD+, CSA and adaptation
• Most experience
– Geography – Biodiversity conservation – Water management….
1. CSA activities have to be seen as part of a Landscape
• CSA Practices and activities will be part of landscapes and compete against other land uses. Hence trade-offs and synergies need to be understood.
Agrarian dynamics: stages & trajectories
Point No. 2: Synergy between REDD+ and CSA can lead to greater emission reductions and multiple
productivity and resilience benefits
• Some CSA practices can support programs to control deforestation as a sustainable intensification strategy
• Therefore CSA could be related to REDD+ as same policy instruments promote both
Intensification of agriculture is necessary, but not sufficient, to stop deforestation
Source: Fischer et al. 2008
Can intensification spare forests?
• 3 conditions
– Yield increases
– Price decreases
– Area cultivated decreases
• Higher yield = more food on same land area
• Therefore sparing more land for forest conservation
• However, demand is elastic
• Therefore potentially resolve Agriculture – REDD conflict?????
Co-financing opportunities exist for both REDD+ and CSA
Challenges: • Increasing soil and tree
carbon takes time – sometimes up to 3 years to yield benefits
• Some CSA activities such as agroforestry systems do not generate profits during initial years of establishment
Solutions: • Required investments and
financing could be funded through REDD+ agricultural intensification approaches;
• It could also be argued that because these CSA activities increase resilience and productivity, they could be funded through adaptation investments in the landscape
Some CSA options do not yield immediate benefits, hence would need start up funding, e.g. Agroforestry
1 year 2 years 3 years
Relay Fallow
intercropping (2-3 tons)
Improved Fallows (3-4 tons) Gliricidia/maize
intercropping (3-5 tons)
Waiting Period before benefit accrual
Maize Yield
10th Crop
Point No. 3: Some CSA benefits to water and biodiversity need landscape level engagements
• Farm level focus is necessary but not sufficient.
• Communal use of resources and associated externalities (sedimentation, deforestation, biodiversity loss) requires coordinated social efforts.
• Higher level supporting policy is also needed.
• Picture of ag in biodiversity context
Farm-level Productivity & Resilience: Improved Fallow and Drought Mitigation
0
500
1000
1500
2000
2500
3000
Yie
ld (
kg h
a-1)
After maize
After Sesbania
Year 1 (1001)
Year 2 (1017)
Year 3 (551)
Year 4 (962)
Year 5 (522)
Chipata, Zambia (5-year average rainfall = 811 mm)
An Landscape Example from Indonesia: RUPES at Lake Singkarak
• Prospects for bringing CSA as part of a landscape approach
Lake Singkarak Landscape
CO-BENEFITS: Cocoa Intensification, increased productivity, biodiversity, and income diversification
• In E. Ghana, shaded cocoa recorded more than 3x avian &, mammalian species, 4x butterfly species and 30 times plant species than full sun (Ofori-Frimpong and Asase, 2005).
• In Cameroon 286 plant species counted (Sonwa et al. 2006)
• Important for biodiversity in buffer zones
Gockowski et al., 2006
Point No. 4: Promoting and developing CSA activities would not be complete
• Other sectoral interventions may be needed to enable the full scale carbon, resilience and productivity benefits from CSA
• Policy frameworks that allow emission reductions (e.g. REDD+) and adaptation investments in CSA would provide a great opportunity.
• An enabling legal and policy environment would be necessary
– to enable cross-sectoral planning,
– with a functional and viable extension system for enabling CSA
– for tree rights and ownership (e.g., landscape transformations in Niger and Mali)
– for investments in physical and market infrastructure necessary for handling (e.g. processing) increased crop and tree products from CSA
Why multiple sectors and policies in Landscape approaches to CSA?
Briamoh, 2012
Part II: Tools for integrating CSA into Landscape Approaches
Doug White, Peter A Minang
Analytical tools
• Synergies & tradeoffs amongst land uses
– ASB experience
– CSA and all land uses
ASB Matrix Example: Pucallpa, Peru Amazon
Smallholder
Land useCarbon
storageBiodiversity
Soil bulk
density
Available
Phosphorus
Returns to
land
Employ-
ment
Returns to
land
Forest 250 63 1.2 10 73 45
Logged forest 123 66 1.2 10 122 84
Cocoa 43 27 17 4734 42 296
Oil palm 41 1,247 99 156
Long fallow agriculture 20 36 1.25 15 302 27 197
Short fallow agriculture 14 26 1.3 15 466 32 209
Improved pasture 5 12 1.4 10 1069 7 6
Traditional pasture 2 23 1.45 5 553 8 -11
Unit (per ha)
tC,
AG,time-
averaged
plant
species
richness
g/cm3 ppmNPV 30y,
5% discount
workdays
per year
NPV 30y,
15% discount
Global environmentAgronomic
sustainabilityNational policy
Evaluation criteria
Land uses
White, et al. 2006, 2011 Based on Tomich, et al. 1998.
scientists devised metrics and conducted measurements that fill cells
users defined units of analysis and criteria
ASB Matrix Example: Pucallpa, Peru Amazon
Smallholder
Land useCarbon
storageBiodiversity
Soil bulk
density
Available
Phosphorus
Returns to
land
Employ-
ment
Returns to
land
Forest 250 63 1.2 10 73 45
Logged forest 123 66 1.2 10 122 84
Cocoa 43 27 17 4734 42 296
Oil palm 41 1,247 99 156
Long fallow agriculture 20 36 1.25 15 302 27 197
Short fallow agriculture 14 26 1.3 15 466 32 209
Improved pasture 5 12 1.4 10 1069 7 6
Traditional pasture 2 23 1.45 5 553 8 -11
Unit (per ha)
tC,
AG,time-
averaged
plant
species
richness
g/cm3 ppmNPV 30y,
5% discount
workdays
per year
NPV 30y,
15% discount
Global environmentAgronomic
sustainabilityNational policy
Evaluation criteria
Land uses
White, et al. 2006, 2011 Based on Tomich, et al. 1998.
ASB Matrix Example: Pucallpa, Peru Amazon
Smallholder
Land useCarbon
storageBiodiversity
Soil bulk
density
Available
Phosphorus
Returns to
land
Employ-
ment
Returns to
land
Forest 250 63 1.2 10 73 45
Logged forest 123 66 1.2 10 122 84
Cocoa 43 27 17 4734 42 296
Oil palm 41 1,247 99 156
Long fallow agriculture 20 36 1.25 15 302 27 197
Short fallow agriculture 14 26 1.3 15 466 32 209
Improved pasture 5 12 1.4 10 1069 7 6
Traditional pasture 2 23 1.45 5 553 8 -11
Unit (per ha)
tC,
AG,time-
averaged
plant
species
richness
g/cm3 ppmNPV 30y,
5% discount
workdays
per year
NPV 30y,
15% discount
Global environmentAgronomic
sustainabilityNational policy
Evaluation criteria
Land uses
White, et al. 2006, 2011 Based on Tomich, et al. 1998.
ASB Matrix Example: Pucallpa, Peru Amazon
Smallholder
Land useCarbon
storageBiodiversity
Soil bulk
density
Available
Phosphorus
Returns to
land
Employ-
ment
Returns to
land
Forest 250 63 1.2 10 73 45
Logged forest 123 66 1.2 10 122 84
Cocoa 43 27 17 4734 42 296
Oil palm 41 1,247 99 156
Long fallow agriculture 20 36 1.25 15 302 27 197
Short fallow agriculture 14 26 1.3 15 466 32 209
Improved pasture 5 12 1.4 10 1069 7 6
Traditional pasture 2 23 1.45 5 553 8 -11
Unit (per ha)
tC,
AG,time-
averaged
plant
species
richness
g/cm3 ppmNPV 30y,
5% discount
workdays
per year
NPV 30y,
15% discount
Global environmentAgronomic
sustainabilityNational policy
Evaluation criteria
Land uses
White, et al. 2006, 2011 Based on Tomich, et al. 1998.
Other qualitative measures can be used such as: •Soil structure •Nutrient export •Crop protection Participatory soil quality measures can also be used
ASB Matrix Example: Pucallpa, Peru Amazon
Smallholder
Land useCarbon
storageBiodiversity
Soil bulk
density
Available
Phosphorus
Returns to
land
Employ-
ment
Returns to
land
Forest 250 63 1.2 10 73 45
Logged forest 123 66 1.2 10 122 84
Cocoa 43 27 17 4734 42 296
Oil palm 41 1,247 99 156
Long fallow agriculture 20 36 1.25 15 302 27 197
Short fallow agriculture 14 26 1.3 15 466 32 209
Improved pasture 5 12 1.4 10 1069 7 6
Traditional pasture 2 23 1.45 5 553 8 -11
Unit (per ha)
tC,
AG,time-
averaged
plant
species
richness
g/cm3 ppmNPV 30y,
5% discount
workdays
per year
NPV 30y,
15% discount
Global environmentAgronomic
sustainabilityNational policy
Evaluation criteria
Land uses
White, et al. 2006, 2011 Based on Tomich, et al. 1998.
Measures of Resilience?
Other qualitative measures can be used such as: •Soil structure •Nutrient export •Crop protection Participatory soil quality measures can also be used
ASB Matrix Example: Pucallpa, Peru Amazon
Smallholder
Land useCarbon
storageBiodiversity
Soil bulk
density
Available
Phosphorus
Returns to
land
Employ-
ment
Returns to
land
Forest 250 63 1.2 10 73 45
Logged forest 123 66 1.2 10 122 84
Cocoa 43 27 17 4734 42 296
Oil palm 41 1,247 99 156
Long fallow agriculture 20 36 1.25 15 302 27 197
Short fallow agriculture 14 26 1.3 15 466 32 209
Improved pasture 5 12 1.4 10 1069 7 6
Traditional pasture 2 23 1.45 5 553 8 -11
Unit (per ha)
tC,
AG,time-
averaged
plant
species
richness
g/cm3 ppmNPV 30y,
5% discount
workdays
per year
NPV 30y,
15% discount
Global environmentAgronomic
sustainabilityNational policy
Evaluation criteria
Land uses
White, et al. 2006, 2011 Based on Tomich, et al. 1998.
ASB Matrix Example: Pucallpa, Peru Amazon
Smallholder
Land useCarbon
storageBiodiversity
Soil bulk
density
Available
Phosphorus
Returns to
land
Employ-
ment
Returns to
land
Forest 250 63 1.2 10 73 45
Logged forest 123 66 1.2 10 122 84
Cocoa 43 27 17 4734 42 296
Oil palm 41 1,247 99 156
Long fallow agriculture 20 36 1.25 15 302 27 197
Short fallow agriculture 14 26 1.3 15 466 32 209
Improved pasture 5 12 1.4 10 1069 7 6
Traditional pasture 2 23 1.45 5 553 8 -11
Unit (per ha)
tC,
AG,time-
averaged
plant
species
richness
g/cm3 ppmNPV 30y,
5% discount
workdays
per year
NPV 30y,
15% discount
Global environmentAgronomic
sustainabilityNational policy
Evaluation criteria
Land uses
White, et al. 2006, 2011 Based on Tomich, et al. 1998.
ASB Matrix Example: Pucallpa, Peru Amazon
Smallholder
Land useCarbon
storageBiodiversity
Soil bulk
density
Available
Phosphorus
Returns to
land
Employ-
ment
Returns to
land
Forest 250 63 1.2 10 73 45
Logged forest 123 66 1.2 10 122 84
Cocoa 43 27 17 4734 42 296
Oil palm 41 1,247 99 156
Long fallow agriculture 20 36 1.25 15 302 27 197
Short fallow agriculture 14 26 1.3 15 466 32 209
Improved pasture 5 12 1.4 10 1069 7 6
Traditional pasture 2 23 1.45 5 553 8 -11
Unit (per ha)
tC,
AG,time-
averaged
plant
species
richness
g/cm3 ppmNPV 30y,
5% discount
workdays
per year
NPV 30y,
15% discount
Global environmentAgronomic
sustainabilityNational policy
Evaluation criteria
Land uses
White, et al. 2006, 2011 Based on Tomich, et al. 1998.
Are criteria salient, credible and legitimate?
An example landscape tradeoff: Carbon – Profits
Dense forest (95% canopy)
Selective logged forest (80%
canopy)
Logged forest (65% canopy)
Agriculture 8yr fallow
Agriculture 4yr fallow
Oil palm
Cocoa
Improved pastures
Degraded pastures
-50
0
50
100
150
200
250
300
0 50 100 150 200 250 300Pri
vate
pe
rsp
ect
ive
pro
fits
(NP
V, $
/ha)
Above-ground Carbon (tC/ha)
REDD+ benefits and costs
Policy and program options evaluated according different environmental equity and economic criteria:
Environmental
Economic
Equity
Efficiency Carbon rents
Air/Climate
Environmental service compensation
Benefits Costs
Livelihoods & income
Implementation
Transaction
Opportunity
Socio-cultural rights & traditions
Biodiversity Water
CSA and REDD+
Environmental
Economic
Equity
Efficiency Carbon rents
(Soils) Air/Climate
Environmental service compensation
improved productivity
enhanced climate
resilience
increased mitigation and
carbon sequestration
CSA
Benefits Costs
Livelihoods & income
Implementation
Transaction
Opportunity
Socio-cultural rights & traditions
Biodiversity Water
Planning a Land Use Strategy Helpful to merge CSA, REDD+, NAMA
Key steps:
1. Diagnose contexts – Stakeholder
– Existing technologies, practices, policies and institutions
Stakeholder interests & land use
Political administrations (national, sub-
national) Agriculture
ministry
Forestry ministry
Environment ministry
Finance ministry
Energy ministry Defense
ministry
Export ministry
Transport ministry
Hunter- gatherers
Farmers
Loggers
Private citizens
Private industry
CBOs
NGOs
Existing policies affecting land use Peru
Policy intervention Promotional Restrictive
Economic sector Subsidy Tax break Taxes & fees
Regulation & penalty
Forestry / Timber
Research & extension (e.g., reduced impact logging – RIL)
Timber export marketing
Concession fee per ha
Management plan fee
Tax m3 harvest
Illegal timber confiscation & fine
Agriculture/ Ranching
Research & extension
Seeds/plants (oilpalm, cocoa)
Processing facilities (oilpalm)
Coca plant eradication
Amazon region
Road construction
Land tenure
Fuel
Capital investment (machinery)
Mining
Planning a Land Use Strategy Helpful to merge CSA, REDD+, NAMA
Key steps:
1. Diagnose contexts – Stakeholder
– Existing technologies, practices, policies and institutions
2. Develop a results framework – With economic, equity, environmental criteria
Land Use Policy Performance Criteria
• Climate
• Soils
• Water
• Biodiversity Quality, flow regulation
Emission reduction, carbon stock increase
Plants & animals
Environmental Sustainability
Fertility, health
Land Use Policy Performance Criteria
• Climate
• Soils
• Water
• Biodiversity
• Income distribution
• Self-determination
• Cultural identity Quality, flow regulation
Emission reduction, carbon stock increase
Participation and influence in policy process
Plants & animals
Livelihood traditions, community social capital
Social Equity
Environmental Sustainability
Fair opportunities and earnings
Fertility, health
Land Use Policy Performance Criteria
• Climate
• Soils
• Water
• Biodiversity
• Agriculture
• Forest
• Mining
• Income distribution
• Self-determination
• Cultural identity Quality, flow regulation
Emission reduction, carbon stock increase
Participation and influence in policy process
Plants & animals
Farms, ranches
Timber, firewood, hunting & gathering
Metals and energy
Livelihood traditions, community social capital
Social Equity
Economic growth
Environmental Sustainability
Fair opportunities and earnings
Fertility, health
Planning a Land Use Strategy Helpful to merge CSA, REDD+, NAMA
Key steps:
1. Diagnose contexts
2. Develop a results framework
3. Identify scenarios
4. Estimate policy impacts – Stakeholders
– Clarify methods and assumptions
5. Identify stakeholder roles – Selecting priorities
– Fulfilling contract commitments (e.g., REDD+)
Land Use Planning for LoW Emission Development Strategies- LUWES
• A set of tools for incorporating emission reductions from all land uses including CSA, REDD+ and others with Sustainable Development Benefits
• Dewi et al. 2012 @ ASB / ICRAF Indonesia
Summary of key messages
• Synergies and tradeoffs
– Many performance criteria and measurement methods
– Need to address different perspectives and priorities
• Overlap of CSA, REDD+, NRM, breeding, agronomy, farming systems research, environmental service compensation, rapid rural appraisal, participatory research…
Summary of key messages
• For climate smart landscapes, attention is required of
– Genetic resources
• Improved plant germplasm / animal breeds and practices
– increased yields build trust and ability to take on longer term and collaborative efforts
– Fitting into existing farming systems
– Soil and water resources
• Investment - not mining, management - not use
– Green manure, compost, runoff erosion control
• Diversification
– crop rotation, agroforestry, silvopastoral
– animal manure management, fodder banks
Summary of key messages
• For climate smart landscapes, attention is required of
– Genetic resources
– Soil and water resources
– Human resources
• Improved farm management practices
• Participation in R&D and policy – community/watershed scale – environmental service
compensation
– sub-national/national level
Thank you