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Climate-smart agriculture: panacea or 
Agroforestry 
propaganda? 
Nutrition security 
Poverty alleviation 
Natural resource 
Todd Rosenstock & Christine Lamanna 
Improved 
cook-stove 
Conservation 
agriculture 
Increased yields 
Soil quality & carbon 
Reduced 
degradation & 
erosion 
Dietary 
diversity 
Intercropping 
Participatory 
approach 
Global Landscapes Forum 
Lima, Peru | 7 Dec. 2014
Global Alliance for CSA: 500 million 
smallholders 
NEPAD Vision 25x25: 25 million in Africa by 
2025 
Photo: 
CCAFS
Meta-analysis: 65 practices/15 indicators 
Key word search 
Abstract title 
review 
Full text review 
Data 
extraction/analys 
is 
144,567 
papers 
16,254 
papers 
6,100 
papers 
~120,000 data points
Studies with indicators for at least one 
component of CSA 
Random sample of 815 studies
Studies with indicators for at least two 
components of CSA 
Random sample of 815 studies
Studies with indicators for all three 
components of CSA 
Random sample of 815 studies
● 
● 
● 
● ●● 
Agroforestry (AF) 
Leguminous AF 
Inorganic fertilizer 
Diet management 
Increasing protein 
Alternative feeds 
−0.5 0.0 0.5 
Effect size 
CSA 
Effects of CSA on food security are 
variable and can be + or - 
Random sample of 130 studies 
-60% 0 +60%
Synergies and tradeoffs between 
food security and adaptation with CSA 
Food security 
Tradeoffs 0.5 
Synergies 
46% 32% 
0.4 
0.3 
0.2 
0.1 
0 
-0.5 -0.3 -0.1 0.1 0.3 0.5 
-0.1 
-0.2 
-0.3 
-0.4 
6% 16% 
-0.5 
Adaptation 
Tradeoffs 
Mean effect from random sample of 130 studies (55 comparisons)
t.rosenstock@cgiar.org 
Financial support 
CCAFS 
IFAD 
CIFOR-EBF 
FAO-MICCA 
Thank you 
Collaborators: 
K Tully, C. Corner-Dolloff, E 
Girvetz, M Lazaro, A Jarvis, 
P Bell, S Chesterman, S 
MacFatrige, H Strom, A 
Madalinska, A-S Eyrich, C 
Champalle, W English, A 
Akinleye, A Poultouchidou, 
A Kerr, H Neufeldt

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Todd rosenstock-climate-smart-agriculture panacea-or-propaganda-

  • 1. Climate-smart agriculture: panacea or Agroforestry propaganda? Nutrition security Poverty alleviation Natural resource Todd Rosenstock & Christine Lamanna Improved cook-stove Conservation agriculture Increased yields Soil quality & carbon Reduced degradation & erosion Dietary diversity Intercropping Participatory approach Global Landscapes Forum Lima, Peru | 7 Dec. 2014
  • 2. Global Alliance for CSA: 500 million smallholders NEPAD Vision 25x25: 25 million in Africa by 2025 Photo: CCAFS
  • 3. Meta-analysis: 65 practices/15 indicators Key word search Abstract title review Full text review Data extraction/analys is 144,567 papers 16,254 papers 6,100 papers ~120,000 data points
  • 4. Studies with indicators for at least one component of CSA Random sample of 815 studies
  • 5. Studies with indicators for at least two components of CSA Random sample of 815 studies
  • 6. Studies with indicators for all three components of CSA Random sample of 815 studies
  • 7. ● ● ● ● ●● Agroforestry (AF) Leguminous AF Inorganic fertilizer Diet management Increasing protein Alternative feeds −0.5 0.0 0.5 Effect size CSA Effects of CSA on food security are variable and can be + or - Random sample of 130 studies -60% 0 +60%
  • 8. Synergies and tradeoffs between food security and adaptation with CSA Food security Tradeoffs 0.5 Synergies 46% 32% 0.4 0.3 0.2 0.1 0 -0.5 -0.3 -0.1 0.1 0.3 0.5 -0.1 -0.2 -0.3 -0.4 6% 16% -0.5 Adaptation Tradeoffs Mean effect from random sample of 130 studies (55 comparisons)
  • 9. t.rosenstock@cgiar.org Financial support CCAFS IFAD CIFOR-EBF FAO-MICCA Thank you Collaborators: K Tully, C. Corner-Dolloff, E Girvetz, M Lazaro, A Jarvis, P Bell, S Chesterman, S MacFatrige, H Strom, A Madalinska, A-S Eyrich, C Champalle, W English, A Akinleye, A Poultouchidou, A Kerr, H Neufeldt

Editor's Notes

  1. Over the next ten minutes, convince you Mapping the location of the 6,000 studies that met our criteria shows geographic and topical clustering in relatively few locations and around relatively few measures of CSA, indicating potential for bias and highlighting gaps in the evidence for desired CSA objectives (e.g., gender inclusiveness). Furthermore, outcomes vary widely among studies and locations and are far from clearly positive or negative, suggesting the ‘climate-smartness’ of practices needs to be considered for local conditions and objectives to be meaningful. Co-located, cross-outcome research tends to be sparse except for a few outcome-by-practice combinations. Thus, grand conclusions about synergies and trade-offs among CSA components may be unsupported. This meta-analysis provides a useful benchmark of CSA’s scientific basis and can support the transition from hype to meaningful impact on the ground.
  2. GASCA: 500 million farmers NEPAD: 25 million farmers Development activities are based on a fundamental assumption that there is a signifcant scientific basis of CSA. That is there thre
  3. Only 3 of the studies had adaptaion and mitigation data. 2 of the 3 showed synergies, one tradeoffs.