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Evaluating the Food Profile in Qatar within the Energy–Water–Food Nexus Approach

Finding a balance between the capacity for production and the rising demand for food is the first step toward achieving food security. To achieve sustainable development on a national scale, decision-makers must use an energy, water, and food nexus approach that considers the relationships and inter...

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Autores principales: Alrebei, Odi Fawwaz, Al-Ansari, Tareq, Al-Kuwari, Mohammad S., Amhamed, Abdulkarem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857933/
https://www.ncbi.nlm.nih.gov/pubmed/36673322
http://dx.doi.org/10.3390/foods12020230
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author Alrebei, Odi Fawwaz
Al-Ansari, Tareq
Al-Kuwari, Mohammad S.
Amhamed, Abdulkarem
author_facet Alrebei, Odi Fawwaz
Al-Ansari, Tareq
Al-Kuwari, Mohammad S.
Amhamed, Abdulkarem
author_sort Alrebei, Odi Fawwaz
collection PubMed
description Finding a balance between the capacity for production and the rising demand for food is the first step toward achieving food security. To achieve sustainable development on a national scale, decision-makers must use an energy, water, and food nexus approach that considers the relationships and interactions among these three resources as well as the synergies and trade-offs that result from the way they are handled. Therefore, this paper evaluates the Energy–Water–Food Nexus Profile of Qatar at a superstructural level by applying the Business-As-Usual (BAU) storyline; thus, trends of past data have been used to provide future projections to 2050 using the statistical prediction tools such as the compound annual growth rates of food demand ([Formula: see text]), international supply ([Formula: see text]), and the average local food supply change factor ([Formula: see text]). Once the BAU storyline has been generated, the source-to-demand correlations have been defined for each food category. Such correlations include the annual and average ratios of the local food supply to the total demand (i.e., [Formula: see text] and [Formula: see text]) and the ratios of the local food supply to the international supply (i.e., [Formula: see text] and [Formula: see text]). In addition, as an effort to identify the required action to reach food self-sustainability, the additional local food supply to achieve ([Formula: see text] and its ratio to the local demand ([Formula: see text]) have been defined. The highest average ratio of the local food supply to the total demand ([Formula: see text]) was found for the meat category, which was estimated to be 48.3%. Finally, to evaluate the feasibility of attaining food self-sustainability in Qatar, the water consumption ([Formula: see text]) and its corresponding required energy for each food category have been estimated.
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spelling pubmed-98579332023-01-21 Evaluating the Food Profile in Qatar within the Energy–Water–Food Nexus Approach Alrebei, Odi Fawwaz Al-Ansari, Tareq Al-Kuwari, Mohammad S. Amhamed, Abdulkarem Foods Article Finding a balance between the capacity for production and the rising demand for food is the first step toward achieving food security. To achieve sustainable development on a national scale, decision-makers must use an energy, water, and food nexus approach that considers the relationships and interactions among these three resources as well as the synergies and trade-offs that result from the way they are handled. Therefore, this paper evaluates the Energy–Water–Food Nexus Profile of Qatar at a superstructural level by applying the Business-As-Usual (BAU) storyline; thus, trends of past data have been used to provide future projections to 2050 using the statistical prediction tools such as the compound annual growth rates of food demand ([Formula: see text]), international supply ([Formula: see text]), and the average local food supply change factor ([Formula: see text]). Once the BAU storyline has been generated, the source-to-demand correlations have been defined for each food category. Such correlations include the annual and average ratios of the local food supply to the total demand (i.e., [Formula: see text] and [Formula: see text]) and the ratios of the local food supply to the international supply (i.e., [Formula: see text] and [Formula: see text]). In addition, as an effort to identify the required action to reach food self-sustainability, the additional local food supply to achieve ([Formula: see text] and its ratio to the local demand ([Formula: see text]) have been defined. The highest average ratio of the local food supply to the total demand ([Formula: see text]) was found for the meat category, which was estimated to be 48.3%. Finally, to evaluate the feasibility of attaining food self-sustainability in Qatar, the water consumption ([Formula: see text]) and its corresponding required energy for each food category have been estimated. MDPI 2023-01-04 /pmc/articles/PMC9857933/ /pubmed/36673322 http://dx.doi.org/10.3390/foods12020230 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alrebei, Odi Fawwaz
Al-Ansari, Tareq
Al-Kuwari, Mohammad S.
Amhamed, Abdulkarem
Evaluating the Food Profile in Qatar within the Energy–Water–Food Nexus Approach
title Evaluating the Food Profile in Qatar within the Energy–Water–Food Nexus Approach
title_full Evaluating the Food Profile in Qatar within the Energy–Water–Food Nexus Approach
title_fullStr Evaluating the Food Profile in Qatar within the Energy–Water–Food Nexus Approach
title_full_unstemmed Evaluating the Food Profile in Qatar within the Energy–Water–Food Nexus Approach
title_short Evaluating the Food Profile in Qatar within the Energy–Water–Food Nexus Approach
title_sort evaluating the food profile in qatar within the energy–water–food nexus approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857933/
https://www.ncbi.nlm.nih.gov/pubmed/36673322
http://dx.doi.org/10.3390/foods12020230
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