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Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies

Author

Listed:
  • Mwongera, Caroline
  • Shikuku, Kelvin M.
  • Twyman, Jennifer
  • Läderach, Peter
  • Ampaire, Edidah
  • Van Asten, Piet
  • Twomlow, Steve
  • Winowiecki, Leigh A.

Abstract

Approaches that aim to identify and prioritize locally appropriate climate smart agriculture (CSA) technologies will need to address the context-specific multi-dimensional complexity in agricultural systems. The climate smart agriculture rapid appraisal (CSA-RA) is a mixed method approach that draws on participatory bottom-up, qualitative, and quantitative tools to assess the heterogeneity of local contexts, and prioritize context-specific CSA options. This is an imperative if countries are to respond to the COP21 agreement and meet their intended nationally determined contributions (INDCs). The CSA-RA is designed to assess biophysical including climatic, socio-cultural, economic and technological characteristics at the household, farm and community/regional level. The CSA-RA employs gender-disaggregated methods, including gender differences in perceptions of climate change and its impacts. The CSA-RA combines common participatory rural appraisal (PRA) and rapid rural appraisal (RRA) tools into one methodology, that disaggregates the gender dimension, and includes resource mapping; climate calendars; historical calendars; cropping calendars; organization mapping; transect walks; key informant interviews; farmer interviews; and pairwise ranking matrix. The tool collects qualitative and quantitative data from various stakeholders (farmers, local leaders, researchers, local-level agricultural experts, private sector actors, donor organizations, and policy implementers), allowing expansive analysis, triangulation and validation. Application of the CSA-RA in Tanzania and Uganda reveals heterogeneity across the sites in terms of vulnerability, constraints and CSA priorities among different social groups (gender) and agro-ecological zones. Thus, the CSA-RA allows stakeholders to simultaneously take into account biophysical and socio-economic aspects to target and implement CSA.

Suggested Citation

  • Mwongera, Caroline & Shikuku, Kelvin M. & Twyman, Jennifer & Läderach, Peter & Ampaire, Edidah & Van Asten, Piet & Twomlow, Steve & Winowiecki, Leigh A., 2017. "Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies," Agricultural Systems, Elsevier, vol. 151(C), pages 192-203.
    • Handle: RePEc:eee:agisys:v:151:y:2017:i:c:p:192-203
    DOI: 10.1016/j.agsy.2016.05.009
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    9. World Bank Group, 2019. "Cote d’Ivoire Climate-Smart Agriculture Investment Plan [Plan d’Investissement d’une Agriculture Intelligente face au Climat en Côte d’Ivoire]," World Bank Publications - Reports 32745, The World Bank Group.
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    15. Kabirigi, Michel & Abbasiharofteh, Milad & Sun, Zhanli & Hermans, Frans, 2022. "The importance of proximity dimensions in agricultural knowledge and innovation systems: The case of banana disease management in Rwanda," Agricultural Systems, Elsevier, vol. 202(C).
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    17. Kumar, Shalander & Craufurd, Peter & Haileslassie, Amare & Ramilan, Thiagarajah & Rathore, Abhishek & Whitbread, Anthony, 2019. "Farm typology analysis and technology assessment: An application in an arid region of South Asia," Land Use Policy, Elsevier, vol. 88(C).
    18. Acosta-Alba, Ivonne & Chia, Eduardo & Andrieu, Nadine, 2019. "The LCA4CSA framework: Using life cycle assessment to strengthen environmental sustainability analysis of climate smart agriculture options at farm and crop system levels," Agricultural Systems, Elsevier, vol. 171(C), pages 155-170.
    19. Thornton, Philip K. & Whitbread, Anthony & Baedeker, Tobias & Cairns, Jill & Claessens, Lieven & Baethgen, Walter & Bunn, Christian & Friedmann, Michael & Giller, Ken E. & Herrero, Mario & Howden, Mar, 2018. "A framework for priority-setting in climate smart agriculture research," Agricultural Systems, Elsevier, vol. 167(C), pages 161-175.
    20. Abrham Belay & Alisher Mirzabaev & John W. Recha & Christopher Oludhe & Philip M. Osano & Zerihun Berhane & Lydia A. Olaka & Yitagesu T. Tegegne & Teferi Demissie & Chrispinus Mutsami & Dawit Solomon, 2024. "Does climate-smart agriculture improve household income and food security? Evidence from Southern Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16711-16738, July.
    21. Laurent Cishahayo & Yueji Zhu & Cheng Zhang & Fang Wang, 2024. "Impacts of social capital on climate change adaptations of banana farmers in Southern China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26263-26286, October.
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