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Developing water, energy, and food sustainability performance indicators for agricultural systems

Water use by the agricultural sector along with inefficient irrigation methods and climate change has led to the depletion and insecurity of water resources and consequent instability of the agricultural system. Defining benchmarks and comparing them is essential for sustainable system management pe...

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Autores principales: Zarei, Soheila, Bozorg-Haddad, Omid, Singh, Vijay P., Loáiciga, Hugo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613199/
https://www.ncbi.nlm.nih.gov/pubmed/34819559
http://dx.doi.org/10.1038/s41598-021-02147-9
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author Zarei, Soheila
Bozorg-Haddad, Omid
Singh, Vijay P.
Loáiciga, Hugo A.
author_facet Zarei, Soheila
Bozorg-Haddad, Omid
Singh, Vijay P.
Loáiciga, Hugo A.
author_sort Zarei, Soheila
collection PubMed
description Water use by the agricultural sector along with inefficient irrigation methods and climate change has led to the depletion and insecurity of water resources and consequent instability of the agricultural system. Defining benchmarks and comparing them is essential for sustainable system management performance. The sustainability performance of an agricultural system depends on various factors related to water, energy, and food. This study selects and ranks sustainability performance indicators (SPIs) of agricultural systems with the analytical hierarchy process (AHP). Expert opinions on agricultural sustainability were obtained from Iran’s Regional Water Organization. The factors and variables affecting the management of water resources in agricultural systems in a basin area are evaluated with 17 SPIs (10 indicators of water resources sustainability, 3 energy sustainability indicators, and 4 food sustainability indicators) that measure the sustainability of agricultural systems. The AHP reduced the number of indicators to a small number of effective indicators. Results of pairwise comparison and the subsequent determination of the weight of each indicator show that the indicators of water consumption, groundwater level stability, vulnerability of water resources, and water stress have the largest weights (i.e., importance) for agricultural system sustainability at the basin scale. These selected indicators can be applied to agricultural water systems (AWSs).
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spelling pubmed-86131992021-11-26 Developing water, energy, and food sustainability performance indicators for agricultural systems Zarei, Soheila Bozorg-Haddad, Omid Singh, Vijay P. Loáiciga, Hugo A. Sci Rep Article Water use by the agricultural sector along with inefficient irrigation methods and climate change has led to the depletion and insecurity of water resources and consequent instability of the agricultural system. Defining benchmarks and comparing them is essential for sustainable system management performance. The sustainability performance of an agricultural system depends on various factors related to water, energy, and food. This study selects and ranks sustainability performance indicators (SPIs) of agricultural systems with the analytical hierarchy process (AHP). Expert opinions on agricultural sustainability were obtained from Iran’s Regional Water Organization. The factors and variables affecting the management of water resources in agricultural systems in a basin area are evaluated with 17 SPIs (10 indicators of water resources sustainability, 3 energy sustainability indicators, and 4 food sustainability indicators) that measure the sustainability of agricultural systems. The AHP reduced the number of indicators to a small number of effective indicators. Results of pairwise comparison and the subsequent determination of the weight of each indicator show that the indicators of water consumption, groundwater level stability, vulnerability of water resources, and water stress have the largest weights (i.e., importance) for agricultural system sustainability at the basin scale. These selected indicators can be applied to agricultural water systems (AWSs). Nature Publishing Group UK 2021-11-24 /pmc/articles/PMC8613199/ /pubmed/34819559 http://dx.doi.org/10.1038/s41598-021-02147-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zarei, Soheila
Bozorg-Haddad, Omid
Singh, Vijay P.
Loáiciga, Hugo A.
Developing water, energy, and food sustainability performance indicators for agricultural systems
title Developing water, energy, and food sustainability performance indicators for agricultural systems
title_full Developing water, energy, and food sustainability performance indicators for agricultural systems
title_fullStr Developing water, energy, and food sustainability performance indicators for agricultural systems
title_full_unstemmed Developing water, energy, and food sustainability performance indicators for agricultural systems
title_short Developing water, energy, and food sustainability performance indicators for agricultural systems
title_sort developing water, energy, and food sustainability performance indicators for agricultural systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613199/
https://www.ncbi.nlm.nih.gov/pubmed/34819559
http://dx.doi.org/10.1038/s41598-021-02147-9
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