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Climate-smart agriculture: 
Food security in a warmer and more 
climate-extreme world
1. Warmer and more extreme:- the global 
challenge 
2. Rising to the challenge: CGIAR & CCAFS 
3. Systems research: Linking knowledge and 
action
IPCC AR5 in April 2014: 
global diagnosis for the next seven 
years?
Evidence that yields losses occur 
already 
Lobell et al 2011
Cheung et al 2010
Extremes will intensify 
warm spells or heat waves 
droughts 
heavy rainfall events 
local flooding 
extreme coastal high water levels 
IPCC, 2012
Losses from weather-related disasters have increased 
Munich Re, 2011 
Overall Losses 
Of which insured losses 
US$ billions (2010 dollars)
Magnitude and sources of GHGs 
Indirect - 
deforestation 
Soils 
Enteric 
Manure 
Rice 
Burning 
Vermeulen et al (2012)
Can Agriculture be excused from emission 
targets? 
Gt CO2e per year 
12 15 
Ag must do its part 
36 
70 
2010 2050 
(Business as usual) 
2050 
(2°C target) 
Non-agricultural 
emissions 
Agricultural and 
land-use change 
emissions 
>70% 
48 
85 
21 
World Resources Institute (2014)
2. How can 
we rise to the 
challenges? 
Role for CGIAR 
& CCAFS?
What is Climate Smart Agriculture?
Proposed goal 13: Take 
urgent action to combat 
climate change and its 
impacts 
Aim to enhance the 
resilience of 500 million 
people in agriculture by 
2030 
Reduce emissions intensity of 
agriculture by 21% by 2030
2. Climate information 
services and climate-informed 
safety nets 
4. Policies and institutions for 
climate-resilient food systems 
1. Climate smart 
technologies, practices, and 
portfolios
Capacity 
Development 
Gender 
IDO1: Enhanced food 
security 
IDO2: Benefits to women 
and marginalised groups 
IDO3: Enhanced adaptive 
capacity to climate risks 
IDO5: Reduced GHGs and 
forest conversion 
IDO4: Policies supporting 
Working with partners to change climate-resilient agriculture 
opinions and worldviews 
Working with 
partners to 
understand what 
works 
Working with 
partners to make 
it happen 
Research evidence 
Policy and 
Institutional Change 
CSA implementation
Coffee-banana intercropping 
3 
2 
1 
0 
2268 $ ha yr 4307 1286 $ ha yr 1770 
Monocrops Intercrops 
Arabica 
(t/ha) 
Banana 
(tenth 
t/ha) 
Arabica systems 
Arabica Banana 
1.5 
1 
0.5 
0 
Monocrops Intercrops 
Robusta 
(t/ha) 
Banana 
(tenth 
t/ha) 
Robusta systems 
Robusta Banana 
More carbon in the 
system 
Diversification 
Decreases drought impacts 
Increased income 
Enhanced food security
weather index 
for a crop in 
an area 
technological 
innovations to 
generate 
weather data 
Community-based 
monitoring
Protocol for GHG emissions in smallholder systems 
Heterogeneous landscapes 
Mixed farming systems 
Capacity strengthening 
Methods and equipment
• Assess current practice in 12 
countries 
• Lessons for improving process 
and outcomes
Regional programs
3. Systems Research: 
linking knowledge 
and action
1. Vision, targets, indicators 
VISION 2025 FOR LATIN AMERICA 
Instead of being totally dependent on climate variability (droughts, floods, landslides), the agricultural sector in Latin America (LAM) climate to its advantage, or at least to 
avoid the bulk of negative consequences. LAM farmers and agricultural sector to climate variability and challenges, and sustainable 
and climate adapted practices food insecurity. Policy makers and planners at the national level climate information and tools plans 
and strategies, and to make climate information useful and applicable for end-users. Policy makers and planners policy and interventions that 
combine and consider the trade-offs between adaptation and mitigation towards a low emissions agricultural development. 
LAM’s FP1 2019 Outcome 
LAM’s producers associations CSA 
context-specific practices through strengthened extension 
services rescuing ancient and traditional knowledge. Local 
governments equitable local agricultural development 
plans using CSA context-specific portfolios assessed 
economically their investments focusing 
on climate variability challenges. NARS demand-driven 
outputs with sufficient technological capacity to address 
agricultural sector needs to face climate challenges. Private 
sector with producer’s associations, local and national 
governments CSA involving 
agricultural market agents through innovative approaches 
(incentives along value chain to access to certification 
schemes). National governments CSA approach based 
on successful experiences developed at local level. 
LAM’s FP2 2019 Outcome 
Meteorological Services tailored climate 
information for decision-makers both at national and 
local level. Ministries of Agriculture 
tailored agro-climate services through 
extension services to help smallholder farmers to 
reduce climate risks, as well as food security 
information to create informed safety nets. Research 
institutions demand-driven insurance 
options based on agro-climate information, seed 
markets, and CSA context-specific options. Private 
Sector to the development and 
insurance options for smallholder 
farmers. 
LAM’s FP3 2019 Outcome 
National governments 
NAMAS and LEDS based on improved data on 
smallholder agricultural GHG emissions and 
equitable policies to strengthen 
linkages among environment and agriculture in 
order to avoid deforestation from commodity 
agriculture, promote restoration to increase 
carbon sequestration and reduce GHG emissions 
from livestock and commodities. Research 
organizations improved data on 
smallholder agricultural GHG emissions. Local 
governments to the development of 
NAMAS and LEDS action plans at local level. 
LAM’s FP4 2019 Outcome 
National governments 
equitable food systems policies and 
strategies taking adaptation into 
consideration to support national and 
regional policy and global climate change 
negotiations. Private institutions 
of NAPs and 
equivalent policies with their respective 
investment plans addressing climate 
challenges to increase food security and 
resilience to changes in climate. 
LAM FP2 MOGs 
1. Tailored climate and agro-climate information such 
as seasonal forecasts and food security information 
2. Climate-informed tools for safety net decision 
makers and participatory early warning systems 
3. Targeted dissemination mechanisms for rural 
communities and climate-informed decision 
making-process tools 
4. Agriculture insurance packages 
5. National and regional support climate-informed 
tools for investment in climate informed 
agricultural and food security decision-making 
LAM FP3 MOGs 
1. Options for silvopastoral, agroforestry and forest 
management systems, Sustainable intensification 
of cattle systems options, improved data on 
emissions estimations at smallholder level and 
bank of land-use based options. 
2. Enhanced practice and evidence-base outputs to 
support NAMAS in both commodities (basic 
grains, coffee) and livestock 
3. Economic modeling and scenarios of land use 
change 
4. Development landscapes and ecosystems 
restoration and deforestation reduction options 
LAM FP4 MOGs 
1. Targeted decision-support tools to 
address increase in investments from 
both public and private institutions 
(Analogues, AMKN, among others) 
2. Planning guidelines and 
recommendations considering equity 
and social differentiation 
3. Economic modelling to support 
decision making processes 
4. Scenarios analysis including global and 
regional models to support decisions 
on policy and investments 
5. Learning platforms and South-south 
exchange mechanisms. 
LAM FP1 MOGs 
1. Context-specific CSA portfolios and evidence reports on 
integration of ancient and traditional knowledge 
2. Economic analysis of equitable best bet CSA practices and 
technological packages 
3. Prioritization tools to support decision making and community 
level learning process outputs 
4. Crowdsourcing, climate site specific agriculture approach 
5. Evidence to generate building capacity to support local 
adaptation processes to scale up and out the successful 
approaches in the region 
6. Public-private partnerships, certification schemes
2. Integrative thinking 
Index-based 
insurance 
Climate 
information 
services 
Climate-smart 
technologies 
Local 
adaptation 
plans 
• Policy 
• Private sector 
• Development 
initiatives 
• Learning sites 
• Multiple partners 
Climate 
smart 
villages 
3. Vision on scaling up
12 million 
farmers & 40 
different crops 
insured 
Prioritisation 
Weather-based insurance 
Diversification 
Direct seeding 
Laser levelling 
Cell phone advisories (inc. gender targeted) 
Agriculture Insurance 
Company of India 
4. Managing 
complexity 
5. Partnership 
everywhere
Strong national engagement
Vision: Africa 25 X 25
Engaging investors as partners not funders 
• Opportunities to mitigate GHG emissions in 
their food security programming 
• Opportunities where Feed the Future 
interventions can be aligned with climate 
change priorities
CSA Prioritisation 
Pilots: Colombia; 
Mali; Vietnam; India 
6. Listen: to select 
science that matters
7. Open data and 
information
8. Integrating research and 
communications 
Launched COP19 
Over 8500 dowloads 
Over 9000 hard copies distributed 
2013 
Showcasing 
successes in CSA
Example: Seasonal 
weather forecasts in 
Senegal 
15 community radio stations 
2 million farmers get forecasts 
better food security outcomes
9. Management authority 
• Program Management Team 
• Independent Science Panel (no Centers or major Partners 
as substantive members) 
• Can hire and fire management team members 
• Can set budgets and workplans 
10. Good funding 
• To have strategic coherence and ability to 
implement at scale need Windows 1 and 2
www.ccafs.cgiar.org 
sign up for science, policy and news e-bulletins 
Twitter: @cgiarclimate @campbell_cgiar

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Climate-smart agriculture: Food security in a warmer and more climate-extreme world - Bruce Campbell

  • 1. Climate-smart agriculture: Food security in a warmer and more climate-extreme world
  • 2. 1. Warmer and more extreme:- the global challenge 2. Rising to the challenge: CGIAR & CCAFS 3. Systems research: Linking knowledge and action
  • 3. IPCC AR5 in April 2014: global diagnosis for the next seven years?
  • 4.
  • 5. Evidence that yields losses occur already Lobell et al 2011
  • 7. Extremes will intensify warm spells or heat waves droughts heavy rainfall events local flooding extreme coastal high water levels IPCC, 2012
  • 8.
  • 9. Losses from weather-related disasters have increased Munich Re, 2011 Overall Losses Of which insured losses US$ billions (2010 dollars)
  • 10. Magnitude and sources of GHGs Indirect - deforestation Soils Enteric Manure Rice Burning Vermeulen et al (2012)
  • 11. Can Agriculture be excused from emission targets? Gt CO2e per year 12 15 Ag must do its part 36 70 2010 2050 (Business as usual) 2050 (2°C target) Non-agricultural emissions Agricultural and land-use change emissions >70% 48 85 21 World Resources Institute (2014)
  • 12. 2. How can we rise to the challenges? Role for CGIAR & CCAFS?
  • 13. What is Climate Smart Agriculture?
  • 14. Proposed goal 13: Take urgent action to combat climate change and its impacts Aim to enhance the resilience of 500 million people in agriculture by 2030 Reduce emissions intensity of agriculture by 21% by 2030
  • 15.
  • 16.
  • 17. 2. Climate information services and climate-informed safety nets 4. Policies and institutions for climate-resilient food systems 1. Climate smart technologies, practices, and portfolios
  • 18. Capacity Development Gender IDO1: Enhanced food security IDO2: Benefits to women and marginalised groups IDO3: Enhanced adaptive capacity to climate risks IDO5: Reduced GHGs and forest conversion IDO4: Policies supporting Working with partners to change climate-resilient agriculture opinions and worldviews Working with partners to understand what works Working with partners to make it happen Research evidence Policy and Institutional Change CSA implementation
  • 19. Coffee-banana intercropping 3 2 1 0 2268 $ ha yr 4307 1286 $ ha yr 1770 Monocrops Intercrops Arabica (t/ha) Banana (tenth t/ha) Arabica systems Arabica Banana 1.5 1 0.5 0 Monocrops Intercrops Robusta (t/ha) Banana (tenth t/ha) Robusta systems Robusta Banana More carbon in the system Diversification Decreases drought impacts Increased income Enhanced food security
  • 20. weather index for a crop in an area technological innovations to generate weather data Community-based monitoring
  • 21. Protocol for GHG emissions in smallholder systems Heterogeneous landscapes Mixed farming systems Capacity strengthening Methods and equipment
  • 22. • Assess current practice in 12 countries • Lessons for improving process and outcomes
  • 24. 3. Systems Research: linking knowledge and action
  • 25. 1. Vision, targets, indicators VISION 2025 FOR LATIN AMERICA Instead of being totally dependent on climate variability (droughts, floods, landslides), the agricultural sector in Latin America (LAM) climate to its advantage, or at least to avoid the bulk of negative consequences. LAM farmers and agricultural sector to climate variability and challenges, and sustainable and climate adapted practices food insecurity. Policy makers and planners at the national level climate information and tools plans and strategies, and to make climate information useful and applicable for end-users. Policy makers and planners policy and interventions that combine and consider the trade-offs between adaptation and mitigation towards a low emissions agricultural development. LAM’s FP1 2019 Outcome LAM’s producers associations CSA context-specific practices through strengthened extension services rescuing ancient and traditional knowledge. Local governments equitable local agricultural development plans using CSA context-specific portfolios assessed economically their investments focusing on climate variability challenges. NARS demand-driven outputs with sufficient technological capacity to address agricultural sector needs to face climate challenges. Private sector with producer’s associations, local and national governments CSA involving agricultural market agents through innovative approaches (incentives along value chain to access to certification schemes). National governments CSA approach based on successful experiences developed at local level. LAM’s FP2 2019 Outcome Meteorological Services tailored climate information for decision-makers both at national and local level. Ministries of Agriculture tailored agro-climate services through extension services to help smallholder farmers to reduce climate risks, as well as food security information to create informed safety nets. Research institutions demand-driven insurance options based on agro-climate information, seed markets, and CSA context-specific options. Private Sector to the development and insurance options for smallholder farmers. LAM’s FP3 2019 Outcome National governments NAMAS and LEDS based on improved data on smallholder agricultural GHG emissions and equitable policies to strengthen linkages among environment and agriculture in order to avoid deforestation from commodity agriculture, promote restoration to increase carbon sequestration and reduce GHG emissions from livestock and commodities. Research organizations improved data on smallholder agricultural GHG emissions. Local governments to the development of NAMAS and LEDS action plans at local level. LAM’s FP4 2019 Outcome National governments equitable food systems policies and strategies taking adaptation into consideration to support national and regional policy and global climate change negotiations. Private institutions of NAPs and equivalent policies with their respective investment plans addressing climate challenges to increase food security and resilience to changes in climate. LAM FP2 MOGs 1. Tailored climate and agro-climate information such as seasonal forecasts and food security information 2. Climate-informed tools for safety net decision makers and participatory early warning systems 3. Targeted dissemination mechanisms for rural communities and climate-informed decision making-process tools 4. Agriculture insurance packages 5. National and regional support climate-informed tools for investment in climate informed agricultural and food security decision-making LAM FP3 MOGs 1. Options for silvopastoral, agroforestry and forest management systems, Sustainable intensification of cattle systems options, improved data on emissions estimations at smallholder level and bank of land-use based options. 2. Enhanced practice and evidence-base outputs to support NAMAS in both commodities (basic grains, coffee) and livestock 3. Economic modeling and scenarios of land use change 4. Development landscapes and ecosystems restoration and deforestation reduction options LAM FP4 MOGs 1. Targeted decision-support tools to address increase in investments from both public and private institutions (Analogues, AMKN, among others) 2. Planning guidelines and recommendations considering equity and social differentiation 3. Economic modelling to support decision making processes 4. Scenarios analysis including global and regional models to support decisions on policy and investments 5. Learning platforms and South-south exchange mechanisms. LAM FP1 MOGs 1. Context-specific CSA portfolios and evidence reports on integration of ancient and traditional knowledge 2. Economic analysis of equitable best bet CSA practices and technological packages 3. Prioritization tools to support decision making and community level learning process outputs 4. Crowdsourcing, climate site specific agriculture approach 5. Evidence to generate building capacity to support local adaptation processes to scale up and out the successful approaches in the region 6. Public-private partnerships, certification schemes
  • 26. 2. Integrative thinking Index-based insurance Climate information services Climate-smart technologies Local adaptation plans • Policy • Private sector • Development initiatives • Learning sites • Multiple partners Climate smart villages 3. Vision on scaling up
  • 27. 12 million farmers & 40 different crops insured Prioritisation Weather-based insurance Diversification Direct seeding Laser levelling Cell phone advisories (inc. gender targeted) Agriculture Insurance Company of India 4. Managing complexity 5. Partnership everywhere
  • 30. Engaging investors as partners not funders • Opportunities to mitigate GHG emissions in their food security programming • Opportunities where Feed the Future interventions can be aligned with climate change priorities
  • 31. CSA Prioritisation Pilots: Colombia; Mali; Vietnam; India 6. Listen: to select science that matters
  • 32. 7. Open data and information
  • 33. 8. Integrating research and communications Launched COP19 Over 8500 dowloads Over 9000 hard copies distributed 2013 Showcasing successes in CSA
  • 34. Example: Seasonal weather forecasts in Senegal 15 community radio stations 2 million farmers get forecasts better food security outcomes
  • 35.
  • 36. 9. Management authority • Program Management Team • Independent Science Panel (no Centers or major Partners as substantive members) • Can hire and fire management team members • Can set budgets and workplans 10. Good funding • To have strategic coherence and ability to implement at scale need Windows 1 and 2
  • 37. www.ccafs.cgiar.org sign up for science, policy and news e-bulletins Twitter: @cgiarclimate @campbell_cgiar