Translating theory into practice: a flexible decision-making tool to support the design and implementation of climate-smart agriculture projects

Context: Climate-smart agriculture (CSA) is a conceptual framework for responding climate-related risk in agriculture across the three pillars of Mitigation, Resilience, and Production. Existing tools have been developed which seek to operationalize the CSA concept to evaluate and benchmark progress...

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Autores principales: Walsh, Conor, Renn, Mara, Klauser, Dominik, de Pinto, Alessandro, Haggar, Jeremy, Rouf Abdur, Hopkins, Richard J., Farhad Zamil
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/172573
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author Walsh, Conor
Renn, Mara
Klauser, Dominik
de Pinto, Alessandro
Haggar, Jeremy
Rouf Abdur
Hopkins, Richard J.
Farhad Zamil
author_browse Farhad Zamil
Haggar, Jeremy
Hopkins, Richard J.
Klauser, Dominik
Renn, Mara
Rouf Abdur
Walsh, Conor
de Pinto, Alessandro
author_facet Walsh, Conor
Renn, Mara
Klauser, Dominik
de Pinto, Alessandro
Haggar, Jeremy
Rouf Abdur
Hopkins, Richard J.
Farhad Zamil
author_sort Walsh, Conor
collection Repository of Agricultural Research Outputs (CGSpace)
description Context: Climate-smart agriculture (CSA) is a conceptual framework for responding climate-related risk in agriculture across the three pillars of Mitigation, Resilience, and Production. Existing tools have been developed which seek to operationalize the CSA concept to evaluate and benchmark progress; each of which have their own relative strengths and weaknesses. Objective: The translation of this concept into actionable projects/portfolios hence requires the careful evaluation of potential trade-offs and synergies between these three pillars. The hereby presented decision-making tool aims to offer a basis for a structured evaluation of such trade-offs and synergies. Methods: It does so by assessing five different outcome pathways on how they contribute to a project's performance across the three pillars of CSA. We aspire that the use of this tool will allow for more deliberate design and implementation of projects in agricultural development, increasing the resilience and productivity of farming systems whilst ensuring the sustainable use of the environmental resource-based agriculture depends on. Results and conclusions: This tool was applied in a workshop setting to evaluate the relative strengths and weaknesses of two distinct projects; demonstrating the utility in visualizing the same performance in different ways. Of particular importance was ability to demonstrate how focusing on productivity and adaptation may trade-off mitigation activities. Significance: The results of the case study application demonstrated the challenge in meeting all the CSA requirements; particularly where the main objective of a project is to enhance and increase productivity. This reinforces how supporting all three pillars is challenging for a single project and therefore CSA is arguably more achievable when viewed in terms of a portfolio of activities which can collectively compensate for the limitations of a single project.
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spelling CGSpace1725732025-10-26T12:52:26Z Translating theory into practice: a flexible decision-making tool to support the design and implementation of climate-smart agriculture projects Walsh, Conor Renn, Mara Klauser, Dominik de Pinto, Alessandro Haggar, Jeremy Rouf Abdur Hopkins, Richard J. Farhad Zamil agricultural practices projects resilience support measures climate-smart agriculture farming systems Context: Climate-smart agriculture (CSA) is a conceptual framework for responding climate-related risk in agriculture across the three pillars of Mitigation, Resilience, and Production. Existing tools have been developed which seek to operationalize the CSA concept to evaluate and benchmark progress; each of which have their own relative strengths and weaknesses. Objective: The translation of this concept into actionable projects/portfolios hence requires the careful evaluation of potential trade-offs and synergies between these three pillars. The hereby presented decision-making tool aims to offer a basis for a structured evaluation of such trade-offs and synergies. Methods: It does so by assessing five different outcome pathways on how they contribute to a project's performance across the three pillars of CSA. We aspire that the use of this tool will allow for more deliberate design and implementation of projects in agricultural development, increasing the resilience and productivity of farming systems whilst ensuring the sustainable use of the environmental resource-based agriculture depends on. Results and conclusions: This tool was applied in a workshop setting to evaluate the relative strengths and weaknesses of two distinct projects; demonstrating the utility in visualizing the same performance in different ways. Of particular importance was ability to demonstrate how focusing on productivity and adaptation may trade-off mitigation activities. Significance: The results of the case study application demonstrated the challenge in meeting all the CSA requirements; particularly where the main objective of a project is to enhance and increase productivity. This reinforces how supporting all three pillars is challenging for a single project and therefore CSA is arguably more achievable when viewed in terms of a portfolio of activities which can collectively compensate for the limitations of a single project. 2024-08 2025-01-30T18:19:58Z 2025-01-30T18:19:58Z Journal Article https://hdl.handle.net/10568/172573 en Open Access application/pdf Elsevier Walsh, C., Renn, M., Klauser, D., De Pinto, A., Haggar, J., Abdur, R., Hopkins, R. J., & Zamil, F. (2024). Translating theory into practice: A flexible decision-making tool to support the design and implementation of climate-smart agriculture projects. Agricultural Systems, 219, 104060. https://doi.org/10.1016/j.agsy.2024.104060
spellingShingle agricultural practices
projects
resilience
support measures
climate-smart agriculture
farming systems
Walsh, Conor
Renn, Mara
Klauser, Dominik
de Pinto, Alessandro
Haggar, Jeremy
Rouf Abdur
Hopkins, Richard J.
Farhad Zamil
Translating theory into practice: a flexible decision-making tool to support the design and implementation of climate-smart agriculture projects
title Translating theory into practice: a flexible decision-making tool to support the design and implementation of climate-smart agriculture projects
title_full Translating theory into practice: a flexible decision-making tool to support the design and implementation of climate-smart agriculture projects
title_fullStr Translating theory into practice: a flexible decision-making tool to support the design and implementation of climate-smart agriculture projects
title_full_unstemmed Translating theory into practice: a flexible decision-making tool to support the design and implementation of climate-smart agriculture projects
title_short Translating theory into practice: a flexible decision-making tool to support the design and implementation of climate-smart agriculture projects
title_sort translating theory into practice a flexible decision making tool to support the design and implementation of climate smart agriculture projects
topic agricultural practices
projects
resilience
support measures
climate-smart agriculture
farming systems
url https://hdl.handle.net/10568/172573
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