A Climate Smartness Index (CSI) Based on Greenhouse Gas Intensity and Water Productivity: Application to Irrigated Rice

Efforts to increase agricultural productivity, adapt to climate change, and reduce the carbon footprint of agriculture are reflected in a growing interest in climate-smart agriculture (CSA). Specific indicators of productivity, adaptation and mitigation are commonly used in support of claims about t...

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Main Authors: Laura N. Arenas-Calle, Stephen Whitfield, Andrew J. Challinor
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Sustainable Food Systems
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fsufs.2019.00105/full
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author Laura N. Arenas-Calle
Stephen Whitfield
Andrew J. Challinor
author_facet Laura N. Arenas-Calle
Stephen Whitfield
Andrew J. Challinor
author_sort Laura N. Arenas-Calle
collection DOAJ
description Efforts to increase agricultural productivity, adapt to climate change, and reduce the carbon footprint of agriculture are reflected in a growing interest in climate-smart agriculture (CSA). Specific indicators of productivity, adaptation and mitigation are commonly used in support of claims about the climate smartness of practices. However, it is rare that these three objectives can be optimized simultaneously by any one strategy. In evaluating the relative climate smartness of different agricultural practices, plans and policies, there is a need for metrics that can simultaneously represent all three objectives and therefore be used in comparing strategies that have different benefits and trade-offs across this triad of objectives. In this context, a method for developing a Climate Smartness Index (CSI) is presented. The process of developing the index follows four steps: (1) defining system specific climate smartness; (2) selecting relevant indicators; (3) normalizing against reference values from a systematic literature review; and (4) aggregating and weighting. The CSI presented here has been developed for application in a systematic review of rice irrigation strategies and it combines normalized water productivity (WP) and greenhouse gas intensity (GHGI) The CSI was developed for application to data from published field experiments that assessed the impact of water management practices in irrigated rice, focusing on practices heralded as climate-smart strategies, such as Alternate Wetting and Drying (AWD). The analysis shows that the CSI can provide a consistent judgment of the treatments based on the evidence of water efficiency and reduced GHGI reported in such studies. Using a measurable and replicable index supports the aim of generating a reliable quantification of the climate smartness of agricultural practices. The same four step process can be used to build metrics for a broad range of CSA practice, policy and planning.
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spelling doaj.art-73221a5514274651bfa5974598cd37a02022-12-22T00:15:55ZengFrontiers Media S.A.Frontiers in Sustainable Food Systems2571-581X2019-11-01310.3389/fsufs.2019.00105461995A Climate Smartness Index (CSI) Based on Greenhouse Gas Intensity and Water Productivity: Application to Irrigated RiceLaura N. Arenas-Calle0Stephen Whitfield1Andrew J. Challinor2Institute Climate and Atmospheric Science, University of Leeds, Leeds, United KingdomSchool of Earth and Environment, Sustainability Research Institute, University of Leeds, Leeds, United KingdomInstitute Climate and Atmospheric Science, University of Leeds, Leeds, United KingdomEfforts to increase agricultural productivity, adapt to climate change, and reduce the carbon footprint of agriculture are reflected in a growing interest in climate-smart agriculture (CSA). Specific indicators of productivity, adaptation and mitigation are commonly used in support of claims about the climate smartness of practices. However, it is rare that these three objectives can be optimized simultaneously by any one strategy. In evaluating the relative climate smartness of different agricultural practices, plans and policies, there is a need for metrics that can simultaneously represent all three objectives and therefore be used in comparing strategies that have different benefits and trade-offs across this triad of objectives. In this context, a method for developing a Climate Smartness Index (CSI) is presented. The process of developing the index follows four steps: (1) defining system specific climate smartness; (2) selecting relevant indicators; (3) normalizing against reference values from a systematic literature review; and (4) aggregating and weighting. The CSI presented here has been developed for application in a systematic review of rice irrigation strategies and it combines normalized water productivity (WP) and greenhouse gas intensity (GHGI) The CSI was developed for application to data from published field experiments that assessed the impact of water management practices in irrigated rice, focusing on practices heralded as climate-smart strategies, such as Alternate Wetting and Drying (AWD). The analysis shows that the CSI can provide a consistent judgment of the treatments based on the evidence of water efficiency and reduced GHGI reported in such studies. Using a measurable and replicable index supports the aim of generating a reliable quantification of the climate smartness of agricultural practices. The same four step process can be used to build metrics for a broad range of CSA practice, policy and planning.https://www.frontiersin.org/article/10.3389/fsufs.2019.00105/fullclimate-smart agricultureclimate smartness indexriceAWDwater management
spellingShingle Laura N. Arenas-Calle
Stephen Whitfield
Andrew J. Challinor
A Climate Smartness Index (CSI) Based on Greenhouse Gas Intensity and Water Productivity: Application to Irrigated Rice
Frontiers in Sustainable Food Systems
climate-smart agriculture
climate smartness index
rice
AWD
water management
title A Climate Smartness Index (CSI) Based on Greenhouse Gas Intensity and Water Productivity: Application to Irrigated Rice
title_full A Climate Smartness Index (CSI) Based on Greenhouse Gas Intensity and Water Productivity: Application to Irrigated Rice
title_fullStr A Climate Smartness Index (CSI) Based on Greenhouse Gas Intensity and Water Productivity: Application to Irrigated Rice
title_full_unstemmed A Climate Smartness Index (CSI) Based on Greenhouse Gas Intensity and Water Productivity: Application to Irrigated Rice
title_short A Climate Smartness Index (CSI) Based on Greenhouse Gas Intensity and Water Productivity: Application to Irrigated Rice
title_sort climate smartness index csi based on greenhouse gas intensity and water productivity application to irrigated rice
topic climate-smart agriculture
climate smartness index
rice
AWD
water management
url https://www.frontiersin.org/article/10.3389/fsufs.2019.00105/full
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