Optimal virtual water flows for improved food security in water-scarce countries
dc.contributor.author | Maroufpoor, S | |
dc.contributor.author | Bozorg-Haddad, O | |
dc.contributor.author | Maroufpoor, E | |
dc.contributor.author | Gerbens-Leenes, PW | |
dc.contributor.author | Loáiciga, HA | |
dc.contributor.author | Savic, D | |
dc.contributor.author | Singh, VP | |
dc.date.accessioned | 2021-10-28T09:02:27Z | |
dc.date.issued | 2021-10-25 | |
dc.description.abstract | The worsening water scarcity has imposed a significant stress on food production in many parts of the world. This stress becomes more critical when countries seek self-sufficiency. A literature review shows that food self-sufficiency has not been assessed as the main factor in determining the optimal cultivation patterns. However, food self-sufficiency is one of the main policies of these countries and requires the most attention and concentration. Previous works have focused on the virtual water trade to meet regional food demand and to calculate trade flows. The potential of the trade network can be exploited to improve the cropping pattern to ensure food and water security. To this end, and based on the research gaps mentioned, this study develops a method to link intra-country trade networks, food security, and total water footprints (WFs) to improve food security. The method is applied in Iran, a water-scarce country. The study shows that 781 × 106 m3 of water could be saved by creating a trade network. Results of the balanced trade network are input to a multi-objective optimization model to improve cropping patterns based on the objectives of achieving food security and preventing water crises. The method provides 400 management scenarios to improve cropping patterns considering 51 main crops in Iran. Results show a range of improvements in food security (19–45%) and a decrease in WFs (2–3%). The selected scenario for Iran would reduce the blue water footprint by 1207 × 106 m3, and reduce the cropland area by 19 × 103 ha. This methodology allows decision makers to develop policies that achieve food security under limited water resources in arid and semi-arid regions. | en_GB |
dc.description.sponsorship | Iran National Science Foundation | en_GB |
dc.description.sponsorship | Center for International Scientific Studies and Collaboration (CISSC), Ministry of Science, Research and Technology | en_GB |
dc.identifier.citation | Vol. 11, article 21027 | en_GB |
dc.identifier.doi | 10.1038/s41598-021-00500-6 | |
dc.identifier.grantnumber | 98002204 | en_GB |
dc.identifier.grantnumber | 990092 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/127603 | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.rights | © The Author(s) 2021. 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/. | en_GB |
dc.title | Optimal virtual water flows for improved food security in water-scarce countries | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2021-10-28T09:02:27Z | |
exeter.article-number | 21027 | en_GB |
dc.description | This is the final version. Available on open access from Nature Research via the DOI in this record | en_GB |
dc.identifier.eissn | 2045-2322 | |
dc.identifier.journal | Scientific Reports | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2021-10-13 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2021-10-25 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2021-10-28T08:59:08Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2021-10-28T09:04:26Z | |
refterms.panel | B | en_GB |
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Except where otherwise noted, this item's licence is described as © The Author(s) 2021. 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/.