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Making agriculture climate-smart at scale

  1. Making agriculture climate smart at scale Philip Thornton CCAFS Southeast Asia-South Asia CSA workshop Hanoi, 21 November 2017
  2. Outline • The food security challenge • Foresight – how systems are changing • Targeting interventions for adaptation – who, what, where • Scaling up - CSA challenges • Enabling the changes needed
  3. http://www.csiro.au/Portals/Multimedia/On-the-record/Sustainable-Agriculture-Feeding-the-World.aspx
  4. Feeding 9.6 billion people by 2050? • Different social and environmental costs in different regions • More food trade • Increases in prices • Limited land expansion, mostly via intensification • We will not meet key environmental goals if current trends continue (reducing greenhouse gas emissions, reducing deforestation, managing water)
  5. Steffen et al. Science (2015); updated from Rockstrom et al. (2009) Current status of key planetary boundaries … but what of the future?
  6. Need for climate-smart agriculture: Asia a hotspot GHG emissions from agriculture Food intensity Carlson et al. Nov 2016
  7. 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 1970 1990 2010 2030 2050 Fooddemand(kcal/yearx1015) Balancing food supply and demand Reducing the Demand Filling the Production Gap Sustaining productive capacity Keating et al. (2014)
  8. Systems change: Plot sizes in Asia Very small < 0.5 ha small 0.5-2 ha medium 2-100 ha large > 100 ha Fritz et al. (2015), GCB
  9. Transforming agriculture: which development pathways? Keating et al. (2013)
  10. Transforming agriculture: which development pathways? Keating et al. (2013) • Intensification and land consolidation? Farming in 2030: more inequality in farm incomes, sizes, technologies, market linkages • 30% of most food commodities in SSA & Asia produced on farms ≤2 ha; 75% on farms <20 ha • 560 million farms today, maybe 750 million by 2030 (most increases in Africa, Asia). How to enable the sustainable intensification needed? Herrero et al. (2017), Campbell & Thornton (2014)
  11. Prospects for game-changing / disruptive technologies? Mobile phones in Africa In 1997: zero By early 2017:  960 million mobile subscriptions  80 % penetration rate (Jumia, 2017)
  12. Prospects for game-changing / disruptive technologies? Mobile phones in Africa In 1997: zero By early 2017:  960 million mobile subscriptions  80 % penetration rate (Jumia, 2017) Courtesy of Steve Swain, 2017
  13. Prospects for game-changing / disruptive technologies? Mobile phones in Africa In 1997: zero By early 2017:  960 million mobile subscriptions  80 % penetration rate (Jumia, 2017)
  14. Prospects for game-changing / disruptive technologies? Mobile phones in Africa In 1997: zero By early 2017:  960 million mobile subscriptions  80 % penetration rate (Jumia, 2017)
  15. Targeting: Some climate-smart options Asterisks show the strength of evidence relating to potential impacts on productivity, resilience, mitigation (weak *, moderate **, strong ***) FAO 2013; Thornton et al. 2017
  16. Some of the climate-smart options available to smallholders in mixed crop- livestock systems: synergies, trade-offs Potential impacts: + positive, -negative, +/- = uncertain Strength of evidence: *** confident, ** likely, * poor Rosenstock et al. 2016; Thornton et al. 2017
  17. Constraints to the widespread adoption of some climate-smart options Importance of constraint: ** major, * moderate Thornton et al. 2017
  18. Targeting interventions • No silver bullets: “climate smartness” depends on local context • Triple wins may exist in some situations, but there will often be trade- offs • E.g. temporal trade-offs between meeting shorter-term food production / income objectives and longer-term resilience objectives • Constraints to adoption of interventions still need to be addressed • Some promising options are heavily under-researched: food storage, food processing • Evidence base needs to be improved for several other options, including climate services and insurance • Are we using appropriate metrics and currencies?
  19. Nutritional diversity matters Uday et al. (2013)
  20. Herrero et al. (2017)
  21. Nutritional security Resource use and emissions Agro-ecosystems health Value chains and zoonosis Risk management Income and employment Using nutrition as a driver for shaping the supply response in agriculture Another dimension to CSA? And a highly effective entry point for gender issues
  22. Cacho (2015) Budget Extension Road building Subsidy removal Crop insurance … Which interventions, policies? What response? What outputs? Production Incomes Self-sufficiency GHGs Taking CSA interventions to scale: evaluation
  23. Studies based on value chain and private sector approaches 1 Climate smart value chains (coffee, cocoa) in Ghana, Nicaragua, Peru 2 Sustainable dairy development in Kenya 3 Integrating private businesses in scaling CSA in Kenya 4 Index-based weather insurance in Nigeria Studies utilising ICT and agro-advisories 5 Climate smart information services in Senegal 6 Agro-climatic advisories and CSA in Colombia 7 Edutainment for scaling out CSA in Kenya “Shamba Shape-Up” Studies utilising policy engagement 8 Scenario-guided policy formulation in Cambodia 9 Climate Smart Villages in India 10 Mitigation & adaptation planning in Honduras 11 Alternate wetting & drying in rice in Vietnam Approaches to scaling up: some CCAFS case studies Westermann et al. (2015)
  24. Strategies Primarily demand- or supply-led Mean score, strength of impact Tensions & constraints Process & learning Value chains / private sector D 1.04 1.58 ICT / agro- advisory services S 0.94 1.67 Policy engagement D, S 1.46 1.92 Weighted average 1.17 1.73 Eleven CCAFS case studies and three scaling-up strategies evaluated for different characteristics Strength of impact: 0 (none) to 3 (large) Farmers’ objectives Reach strategy Context specificity Cross-level methods Equity Barriers Partners, alliances Capacity development Learning Westermann et al., 2015, 2017
  25. Approaching CSA scaling more systematically Already in the sunlight • Success factors / principles for R4D achieving development outcomes • Applying the lessons learnt for scaling CSA Still somewhat in the shadow • What precisely is it that we want to scale out? → What are our products (services, approaches, …) → What do we want to achieve (impact yes, but other things too?) • Do we need formalized strategies for communication and stakeholder engagement? Still in the dark • Costs of scaling ? • Partner profiles for scaling CSA? • How best to mix strategic work and making the best of opportunities? Jana Korner (2017)
  26. Countries’ NDC commitments Richards et al. (2015)
  27. Aggarwal et al. (submitted) Estimated global crop yield growth rates per year FAOSTAT data (current) and a meta-analysis of integrated assessment projections
  28. Aggarwal et al. (submitted) Estimated global crop yield growth rates per year FAOSTAT data (current) and a meta-analysis of integrated assessment projections Households in SA & SEA: • 10% Scraping by (food insecure: >5 food deficit months per year) • 15% Stepping up (practice changes in the last 10 years involving some intensification) • 15% Stepping out (no practice changes, increased off-farm income) • 60% Hanging in (none of the above) CCAFS baseline surveys
  29. 1. Harnessing the power of better participatory foresight around: • Future structure of production: sustainably intensified, market orientated smallholders and/or the commercial large-scale sector within a nutrition security framework • Game-changing innovations, and understanding where innovation comes from (sectors other than agriculture) • Power (and limitations) of markets: new value chains, new products, new business models: what works where • Institutions, governance and the private sector: how to provide appropriate incentives for change at multiple levels Upping our game: enabling change at scale
  30. Upping our game: enabling change at scale 2. Beyond technology: • Addressing conflicts and tensions as well as convergence:  values, worldviews, perceptions of experts, policy makers, farmers (personal sphere)  knowledge, authority and subjectivities in the political sphere • Scaling up adoption (practical sphere) in the light of the personal (e.g. worldviews) and political (e.g. power structures) spheres  New mechanisms for scaling  Constraints around politics and power?
  31. Upping our game: enabling change at scale 3. Bridging the science-policy divide • Co-design of processes is key – a critical contributor to co- ownership • Engage at multiple levels, and provide mechanisms to link levels up and down the hierarchy • Build on what’s already going on, use existing “infrastructure”, link into opportunities as they arise, e.g. NDCs • Engagement and translating research outputs into something useful for decision making needs time, resources, energy • Ensure there are tangible benefits for everyone involved • Recognise that decision making in any policy environment is affected by many things other than research outputs Lessons from CCAFS projects, 2017
  32. 4. Understand and utilise the power of communications • Burgeoning literature on global change communications: framing, psychology, values, attitudes, beliefs, political ideologies, … • Apply new skills in discourse analysis and understanding societal norms (including gender): how can they be modified or addressed, behavioural science, marketing science • Discourses around agriculture, food health & nutrition, climate change, the environment - are complex and differentiated by type, location, nature • Getting the messaging right, backed up by appropriate communications and engagement Upping our game: enabling change at scale
  33. p.thornton@cgiar.org
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