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Assessing adaptation, mitigation and risk management
                             options at multiple scales

                                                Lini Wollenberg, Philip Thornton
CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)
                           Systems tools workshop, Wageningen, February 2013
Outline

• CCAFS background
• … at different spatial scales
• … at different temporal scales
• … in different domains (of knowledge,
   modes of enquiry, …)
• Concluding remarks
CCAFS objectives

             1. Identify and develop pro-poor
                adaptation and mitigation practices,
                technologies and policies for
                agriculture and food systems.

             2. Support the inclusion of agricultural
                issues in climate change policies, and
                of climate issues in agricultural
                policies, at all levels.
The CCAFS Framework

                 Adapting Agriculture to
             Climate Variability and Change
  Technologies, practices, partnerships and
                policies for:
                                                         Improved
    1. Adaptation to Progressive Climate               Environmental     Improved
                     Change                               Health           Rural
       2. Adaptation through Managing                                   Livelihoods
                  Climate Risk                                                           Improved
   3. Pro-poor Climate Change Mitigation                                                   Food
                                                                                          Security
          4. Integration for Decision Making
                • Linking Knowledge with Action
           • Assembling Data and Tools for Analysis
                           and Planning
           • Refining Frameworks for Policy Analysis


                                                           Enhanced adaptive capacity
                                                              in agricultural, natural
                                                           resource management, and
                                                                  food systems
… different spatial scales

    What are the trade-offs and synergies between
    benefits and costs (social, economic, nutritional,
    environmental) at:
    •   Household, community levels and
    •   At national, regional, global levels?


Many examples: new technology  production increases  product
prices decrease  social benefits for urbanites  individual producer
disbenefits, so no adoption …
Assessing different options at different scales
Importance of iteration; and which are robust?



  Global visioning                                 Global impacts
     activities
                       Global Scenarios              modelling




   Participatory     Regional Scenarios           Regional impacts
 scenario building                                   modelling




                                                    Household &
 Action research
                         Farmer/village              community
                          perspectives            impacts modelling
… different temporal scales

    Are there trade-offs between benefits and costs (social,
    economic, environmental) between:
    •   Coping with disasters now (drought, flood)
    •   Managing seasonal risk
    •   Adapting to increasing decadal temperatures?


Many pathways to “maladaptation”: actions that increase GHG emissions;
that disproportionately burden the most vulnerable; that have high
opportunity costs; that reduce incentives to adapt; that limit choices
available to future generations (Barnett & O’Neil, 2009)
Managing climate risk · 2

    >> Indexed crop & livestock insurance


                                                           Trade-offs, synergies?
                                                           • Avoids cost of verifying
                                                             losses
                                                           • Overcomes the problems of
                                                             moral hazard
                                                           • Farmers’ assets are
                                                             protected from climate
                                                             shocks
                                                           • Impacts on longer-term local
                                                             prices, local commodity
In indexed insurance schemes, payouts are based on
                                                             supply, on the environment?
 a meteorological index (e.g., rainfall) correlated with
 agricultural losses, rather than on observed losses.
Adaptation to progressive climate change · 1


  >> Farms of the future


                                            Trade-offs, synergies?
                                            • Sharing knowledge through
                                              cross-site farmer visits and
                                              participatory crop and
                                              livestock trials
                                            • Climate similarity mediated
                                              via socio-economic, politico-
                                              cultural similarities and
                                              differences
 Climate analogue tool to identify places   • Do longer-term adaptations
 whose current climates correspond to the     make sense next season?
 future of a chosen locality
… different domains

• The need to find synergies between mitigation and
  adaptation
• The need to balance indigenous knowledge /
  experience with new science
• The need to balance technology and process (social
  learning …)
Social learning tools and approaches
               Individual                          Network                                                  System
Facilitating   “Search Conferences” (5)            Collaborative learning exercise (9)                      Participatory techniques for
Interaction                                                                                                 mentoring farmers’
               Role playing games (1, 3)           Participatory techniques combined with social            representatives (22)
                                                   learning approaches (7)
               Joint interactive use of a single                                                            Coordination platforms,
               influence model (3)                 Facilitating public participation (7)                    especially at regional level
                                                                                                            (18?)
                                                   Develop partnerships, engage in action research
                                                   (10)

                                                   Field visits, virtual role playing, project and policy
                                                   simulation exercises (12)
Capturing                                          Framing/reframing exercise (14)                          Field visits (22)
Lessons
Knowledge      Actors Platforms (3)                Development of a knowledge network (12)                  Combining farmer-produced
Manage-                                                                                                     resource maps of catchment
               Workshops for joint knowledge       ICT-tools (14)                                           areas (16)
ment
               production (4)
                                                   Collective perceptive maps (14)
               Card sorting techniques (3)

               Hexagon modeling (3)

Simulation     Agent based social simulation (3)   Future scenarios workshops (8)
               Companion Modeling approach (1)

                                                                                                                     Harvey (2013)
Low emissions development· 3

  >> Governing mitigation trade-offs in agriculture-
  forest landscapes
                                   Trade-offs, Synergies?
                                   • Intensify agriculture to
     Food
    Security
                 Livelihoods       conserve tropical forests?
                                   • Forest C and ES at expense of
        Mitigation and
        sustainability
                                   expansion in South, CO2 in North
                                   • Intensification lowers GHG/kg,
                                   but increases inputs and
                                   pollutants
                                   •
Rethinking agricultural efficiencies

Test innovations in supply chain                             Footprint of                            Analytics
                                                            outcomes and
                                                             efficiencies                         Emergent properties




                                                                                                        Trade-offs




 e.g. sustainability policies, development
          investments, agricultural
     credit, certification, industry CSR
     initiatives, awareness campaigns
                                                                 Per
                                                            ha, kg, person




                                             UVM Gund Institute Initiative (Ricketts, Galford, Mendez, Farley ) with
                                                         University of Michigan (Agrawal, Newton)
Strategic questions for mitigation
1. How to avoid trade-offs: Low emissions
   development
  • SAMPLES HH modeling (ICRAF-ILRI-IRRI)
  • IIASA- LED priorities
  • U. Michigan- jointness of outcomes
Strategic questions cont.
2. Land for food v. energy v. forests
   • Meeting energy needs: energy-food crop
      intermodel comparison (PIK and ILRI)
   • Geography of adaptation: impacts of
      elevation change by perennial crops (CIAT)
Concluding remarks

Priorities for attention
• Develop systems approach to link TO analysis
• Sustainable intensification efficiencies and sustainability
    under climate change
• More understanding of options and impacts from (1)
    short-to long-term and (2) benefits and costs across
    social groups

Challenges
• Costs of measuring multiple dimensions
• Managing process for understanding and applying local
  stakeholder values in specific places
www.ccafs.cgiar.org
              lini.wollenberg@uvm.edu
              p.thornton@cgiar.org

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Workshop Trade-off Analysis - CGIAR_19 Feb 2013_CRP 7_Philip Thornton & Lini Wollenberg

  • 1. Assessing adaptation, mitigation and risk management options at multiple scales Lini Wollenberg, Philip Thornton CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) Systems tools workshop, Wageningen, February 2013
  • 2. Outline • CCAFS background • … at different spatial scales • … at different temporal scales • … in different domains (of knowledge, modes of enquiry, …) • Concluding remarks
  • 3. CCAFS objectives 1. Identify and develop pro-poor adaptation and mitigation practices, technologies and policies for agriculture and food systems. 2. Support the inclusion of agricultural issues in climate change policies, and of climate issues in agricultural policies, at all levels.
  • 4. The CCAFS Framework Adapting Agriculture to Climate Variability and Change Technologies, practices, partnerships and policies for: Improved 1. Adaptation to Progressive Climate Environmental Improved Change Health Rural 2. Adaptation through Managing Livelihoods Climate Risk Improved 3. Pro-poor Climate Change Mitigation Food Security 4. Integration for Decision Making • Linking Knowledge with Action • Assembling Data and Tools for Analysis and Planning • Refining Frameworks for Policy Analysis Enhanced adaptive capacity in agricultural, natural resource management, and food systems
  • 5. … different spatial scales What are the trade-offs and synergies between benefits and costs (social, economic, nutritional, environmental) at: • Household, community levels and • At national, regional, global levels? Many examples: new technology  production increases  product prices decrease  social benefits for urbanites  individual producer disbenefits, so no adoption …
  • 6. Assessing different options at different scales Importance of iteration; and which are robust? Global visioning Global impacts activities Global Scenarios modelling Participatory Regional Scenarios Regional impacts scenario building modelling Household & Action research Farmer/village community perspectives impacts modelling
  • 7. … different temporal scales Are there trade-offs between benefits and costs (social, economic, environmental) between: • Coping with disasters now (drought, flood) • Managing seasonal risk • Adapting to increasing decadal temperatures? Many pathways to “maladaptation”: actions that increase GHG emissions; that disproportionately burden the most vulnerable; that have high opportunity costs; that reduce incentives to adapt; that limit choices available to future generations (Barnett & O’Neil, 2009)
  • 8. Managing climate risk · 2 >> Indexed crop & livestock insurance Trade-offs, synergies? • Avoids cost of verifying losses • Overcomes the problems of moral hazard • Farmers’ assets are protected from climate shocks • Impacts on longer-term local prices, local commodity In indexed insurance schemes, payouts are based on supply, on the environment? a meteorological index (e.g., rainfall) correlated with agricultural losses, rather than on observed losses.
  • 9. Adaptation to progressive climate change · 1 >> Farms of the future Trade-offs, synergies? • Sharing knowledge through cross-site farmer visits and participatory crop and livestock trials • Climate similarity mediated via socio-economic, politico- cultural similarities and differences Climate analogue tool to identify places • Do longer-term adaptations whose current climates correspond to the make sense next season? future of a chosen locality
  • 10. … different domains • The need to find synergies between mitigation and adaptation • The need to balance indigenous knowledge / experience with new science • The need to balance technology and process (social learning …)
  • 11. Social learning tools and approaches Individual Network System Facilitating “Search Conferences” (5) Collaborative learning exercise (9) Participatory techniques for Interaction mentoring farmers’ Role playing games (1, 3) Participatory techniques combined with social representatives (22) learning approaches (7) Joint interactive use of a single Coordination platforms, influence model (3) Facilitating public participation (7) especially at regional level (18?) Develop partnerships, engage in action research (10) Field visits, virtual role playing, project and policy simulation exercises (12) Capturing Framing/reframing exercise (14) Field visits (22) Lessons Knowledge Actors Platforms (3) Development of a knowledge network (12) Combining farmer-produced Manage- resource maps of catchment Workshops for joint knowledge ICT-tools (14) areas (16) ment production (4) Collective perceptive maps (14) Card sorting techniques (3) Hexagon modeling (3) Simulation Agent based social simulation (3) Future scenarios workshops (8) Companion Modeling approach (1) Harvey (2013)
  • 12. Low emissions development· 3 >> Governing mitigation trade-offs in agriculture- forest landscapes Trade-offs, Synergies? • Intensify agriculture to Food Security Livelihoods conserve tropical forests? • Forest C and ES at expense of Mitigation and sustainability expansion in South, CO2 in North • Intensification lowers GHG/kg, but increases inputs and pollutants •
  • 13. Rethinking agricultural efficiencies Test innovations in supply chain Footprint of Analytics outcomes and efficiencies Emergent properties Trade-offs e.g. sustainability policies, development investments, agricultural credit, certification, industry CSR initiatives, awareness campaigns Per ha, kg, person UVM Gund Institute Initiative (Ricketts, Galford, Mendez, Farley ) with University of Michigan (Agrawal, Newton)
  • 14. Strategic questions for mitigation 1. How to avoid trade-offs: Low emissions development • SAMPLES HH modeling (ICRAF-ILRI-IRRI) • IIASA- LED priorities • U. Michigan- jointness of outcomes
  • 15. Strategic questions cont. 2. Land for food v. energy v. forests • Meeting energy needs: energy-food crop intermodel comparison (PIK and ILRI) • Geography of adaptation: impacts of elevation change by perennial crops (CIAT)
  • 16. Concluding remarks Priorities for attention • Develop systems approach to link TO analysis • Sustainable intensification efficiencies and sustainability under climate change • More understanding of options and impacts from (1) short-to long-term and (2) benefits and costs across social groups Challenges • Costs of measuring multiple dimensions • Managing process for understanding and applying local stakeholder values in specific places
  • 17. www.ccafs.cgiar.org lini.wollenberg@uvm.edu p.thornton@cgiar.org

Notes de l'éditeur

  1. Analytically we are comparing multi-outcome "footprints" across types of interventions and their emergent properties (such as vulnerability), as well as looking at the jointness of outcomes  (can we have livelihoods, food security and biodiversity at the forest edge?).  We will plot pairs of outcomes against each other to identify patterned trade-off relatioonships/functions.  We also want to understand the drivers behind outcomes.
  2. The tools we are using are modeling global scenarios (PIK, IIASA), the IMPACT household decision-making model (via Mariana for the SAMPLES  protocol-related  analysis), GIS and spatial analysis. We are also monitoring projects to assess their empirical outcomes.Protecting Ecosystem Services and Biodiversity in the World's WatershedsGlobal priorities for the protection of ecosystem services and biodiversity. Map shows all ecosystem-service indices combined and all biodiversity indices combined (Hotspots, Global 200, and EBA). Watersheds are split into four categories: mutual-high priorities (MHP; red) for protection of both ecosystem services and biodiversity; high priorities for protecting ecosystem services (ESP; blue); high priorities for protecting biodiversity (BCP; green); and mutual-low priorities (MLP; gray/black) for protecting both ecosystem services and biodiversity. White areas are not included in our analysis. Color intensity varies in each category to reflect the quartiles of values in that category with dark-light corresponding with the top-bottom quartiles (Supporting Information).