The scientific basis of climate-smart agriculture: A systematic review protocol

Background: ‘Climate-smart agriculture’ (CSA)—agriculture and food systems that sustainably increase food production, improve resilience (or adaptive capacity) of farming systems, and mitigate climate change when possible—has quickly been integrated into the global development agenda. However, th...

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Autores principales: Rosenstock, Todd S., Lamanna, Christine, Chesterman, Sabrina, Bell, P., Arslan, A., Richards, Meryl B., Rioux, J., Akinleye, AO, Champalle, Clara, Cheng, Z, Corner-Dolloff, Caitlin, Dohn, J, English, W, Eyrich, AS, Girvetz, Evan Hartunian, Kerr, A, Lizarazo, Miguel, Madalinska, A, McFatridge, S, Morris, KS, Namoi, N, Poultouchidou, N, Silva, Manuela Ravina da, Rayess, S, Ström, H, Tully, Katherine L., Zhou, W
Formato: Artículo preliminar
Lenguaje:Inglés
Publicado: 2016
Materias:
Acceso en línea:https://hdl.handle.net/10568/70967
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author Rosenstock, Todd S.
Lamanna, Christine
Chesterman, Sabrina
Bell, P.
Arslan, A.
Richards, Meryl B.
Rioux, J.
Akinleye, AO
Champalle, Clara
Cheng, Z
Corner-Dolloff, Caitlin
Dohn, J
English, W
Eyrich, AS
Girvetz, Evan Hartunian
Kerr, A
Lizarazo, Miguel
Madalinska, A
McFatridge, S
Morris, KS
Namoi, N
Poultouchidou, N
Silva, Manuela Ravina da
Rayess, S
Ström, H
Tully, Katherine L.
Zhou, W
author_browse Akinleye, AO
Arslan, A.
Bell, P.
Champalle, Clara
Cheng, Z
Chesterman, Sabrina
Corner-Dolloff, Caitlin
Dohn, J
English, W
Eyrich, AS
Girvetz, Evan Hartunian
Kerr, A
Lamanna, Christine
Lizarazo, Miguel
Madalinska, A
McFatridge, S
Morris, KS
Namoi, N
Poultouchidou, N
Rayess, S
Richards, Meryl B.
Rioux, J.
Rosenstock, Todd S.
Silva, Manuela Ravina da
Ström, H
Tully, Katherine L.
Zhou, W
author_facet Rosenstock, Todd S.
Lamanna, Christine
Chesterman, Sabrina
Bell, P.
Arslan, A.
Richards, Meryl B.
Rioux, J.
Akinleye, AO
Champalle, Clara
Cheng, Z
Corner-Dolloff, Caitlin
Dohn, J
English, W
Eyrich, AS
Girvetz, Evan Hartunian
Kerr, A
Lizarazo, Miguel
Madalinska, A
McFatridge, S
Morris, KS
Namoi, N
Poultouchidou, N
Silva, Manuela Ravina da
Rayess, S
Ström, H
Tully, Katherine L.
Zhou, W
author_sort Rosenstock, Todd S.
collection Repository of Agricultural Research Outputs (CGSpace)
description Background: ‘Climate-smart agriculture’ (CSA)—agriculture and food systems that sustainably increase food production, improve resilience (or adaptive capacity) of farming systems, and mitigate climate change when possible—has quickly been integrated into the global development agenda. However, the empirical evidence base for CSA has not been assembled, complicating the transition from CSA concept to concrete actions, and contributing to ideological disagreement among development practitioners. Thus, there is an urgent need to evaluate current knowledge on the effectiveness of CSA to achieve its intended benefits and inform discourse on food, agriculture, and climate change. This systematic review intends to establish the scientific evidence base of CSA practices to inform the next steps in development of agricultural programming and policy. We will evaluate the impact of 73 promising farm-level management practices across five categories (agronomy, agroforestry, livestock, postharvest management, and energy systems) to assess their contributions to the three CSA pillars: (1) agronomic and economic productivity, (2) resilience and adaptive capacity, and (3) climate change mitigation in the developing world. The resulting data will be compiled into a searchable Web-based database and analytical engine that can be used to assess the relative effectiveness and strength of evidence for CSA, as well as identify best-fit practices for specific farming and development contexts. This represents the largest meta-analysis of agricultural practices to date. Methods/Design: This protocol sets out the approach for investigating the question: How do farm-level CSA management practices and technologies affect food production and/or farmers’ incomes, resilience/adaptive capacity, and climate change mitigation in farming systems of developing countries? The objective of this ongoing systematic review is to provide a first appraisal of the evidence for CSA practices in order to inform subsequent programming. The review is based on data found in English-language peer-reviewed journals with searches using terms relevant to CSA practices and CSA outcomes. Searches were conducted via Web of Science (WoS) and Scopus. Articles located were screened first by abstract and then full text according to predefined eligibility criteria for inclusion in the review. Data capturing the context of the study (e.g., geographic location, environmental context), management practices, and impacts (e.g., indicators of CSA outcomes) will be compiled from those studies that meet the predetermined criteria. Statistical relationships between practices and impacts will be evaluated via meta-analytical approaches including response ratios and effect sizes. Mechanisms to identify bias and maintain consistency continue to be applied throughout the review process. These analyses will be complemented with an analysis of determinants of/barriers to adoption of promising CSA practices covered in the meta-analysis. Results of the review will be incorporated into a publicly available Web-based database. Data will be publicly available under Creative Commons License in 2016.
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spelling CGSpace709672024-01-17T12:58:34Z The scientific basis of climate-smart agriculture: A systematic review protocol Rosenstock, Todd S. Lamanna, Christine Chesterman, Sabrina Bell, P. Arslan, A. Richards, Meryl B. Rioux, J. Akinleye, AO Champalle, Clara Cheng, Z Corner-Dolloff, Caitlin Dohn, J English, W Eyrich, AS Girvetz, Evan Hartunian Kerr, A Lizarazo, Miguel Madalinska, A McFatridge, S Morris, KS Namoi, N Poultouchidou, N Silva, Manuela Ravina da Rayess, S Ström, H Tully, Katherine L. Zhou, W climate change agriculture food security climate-smart agriculture adaptation mitigation Background: ‘Climate-smart agriculture’ (CSA)—agriculture and food systems that sustainably increase food production, improve resilience (or adaptive capacity) of farming systems, and mitigate climate change when possible—has quickly been integrated into the global development agenda. However, the empirical evidence base for CSA has not been assembled, complicating the transition from CSA concept to concrete actions, and contributing to ideological disagreement among development practitioners. Thus, there is an urgent need to evaluate current knowledge on the effectiveness of CSA to achieve its intended benefits and inform discourse on food, agriculture, and climate change. This systematic review intends to establish the scientific evidence base of CSA practices to inform the next steps in development of agricultural programming and policy. We will evaluate the impact of 73 promising farm-level management practices across five categories (agronomy, agroforestry, livestock, postharvest management, and energy systems) to assess their contributions to the three CSA pillars: (1) agronomic and economic productivity, (2) resilience and adaptive capacity, and (3) climate change mitigation in the developing world. The resulting data will be compiled into a searchable Web-based database and analytical engine that can be used to assess the relative effectiveness and strength of evidence for CSA, as well as identify best-fit practices for specific farming and development contexts. This represents the largest meta-analysis of agricultural practices to date. Methods/Design: This protocol sets out the approach for investigating the question: How do farm-level CSA management practices and technologies affect food production and/or farmers’ incomes, resilience/adaptive capacity, and climate change mitigation in farming systems of developing countries? The objective of this ongoing systematic review is to provide a first appraisal of the evidence for CSA practices in order to inform subsequent programming. The review is based on data found in English-language peer-reviewed journals with searches using terms relevant to CSA practices and CSA outcomes. Searches were conducted via Web of Science (WoS) and Scopus. Articles located were screened first by abstract and then full text according to predefined eligibility criteria for inclusion in the review. Data capturing the context of the study (e.g., geographic location, environmental context), management practices, and impacts (e.g., indicators of CSA outcomes) will be compiled from those studies that meet the predetermined criteria. Statistical relationships between practices and impacts will be evaluated via meta-analytical approaches including response ratios and effect sizes. Mechanisms to identify bias and maintain consistency continue to be applied throughout the review process. These analyses will be complemented with an analysis of determinants of/barriers to adoption of promising CSA practices covered in the meta-analysis. Results of the review will be incorporated into a publicly available Web-based database. Data will be publicly available under Creative Commons License in 2016. 2016-02-09 2016-02-09T10:57:50Z 2016-02-09T10:57:50Z Working Paper https://hdl.handle.net/10568/70967 en Open Access application/pdf Rosenstock TS, Lamanna C, Chesterman S, Bell P, Arslan A, Richards M, Rioux J, Akinleye AO, Champalle C, Cheng Z, Corner-Dolloff C, Dohn J, English W, Eyrich AS, Girvetz EH, Kerr A, Lizarazo M, Madalinska A, McFatridge S, Morris KS, Namoi N, Poultouchidou N, Ravina da Silva M, Rayess S, Ström H, Tully KL, Zhou W. 2016. The scientific basis of climate-smart agriculture: A systematic review protocol. CCAFS Working Paper no. 138. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
spellingShingle climate change
agriculture
food security
climate-smart agriculture
adaptation
mitigation
Rosenstock, Todd S.
Lamanna, Christine
Chesterman, Sabrina
Bell, P.
Arslan, A.
Richards, Meryl B.
Rioux, J.
Akinleye, AO
Champalle, Clara
Cheng, Z
Corner-Dolloff, Caitlin
Dohn, J
English, W
Eyrich, AS
Girvetz, Evan Hartunian
Kerr, A
Lizarazo, Miguel
Madalinska, A
McFatridge, S
Morris, KS
Namoi, N
Poultouchidou, N
Silva, Manuela Ravina da
Rayess, S
Ström, H
Tully, Katherine L.
Zhou, W
The scientific basis of climate-smart agriculture: A systematic review protocol
title The scientific basis of climate-smart agriculture: A systematic review protocol
title_full The scientific basis of climate-smart agriculture: A systematic review protocol
title_fullStr The scientific basis of climate-smart agriculture: A systematic review protocol
title_full_unstemmed The scientific basis of climate-smart agriculture: A systematic review protocol
title_short The scientific basis of climate-smart agriculture: A systematic review protocol
title_sort scientific basis of climate smart agriculture a systematic review protocol
topic climate change
agriculture
food security
climate-smart agriculture
adaptation
mitigation
url https://hdl.handle.net/10568/70967
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