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CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran
Soil erosion (SE) and climate change are closely related to environmental challenges that influence human wellbeing. However, the potential impacts of both processes in semi-arid areas are difficult to be predicted because of atmospheric variations and non-sustainable land use management. Thus, mode...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012627/ https://www.ncbi.nlm.nih.gov/pubmed/33790351 http://dx.doi.org/10.1038/s41598-021-86618-z |
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author | Hateffard, Fatemeh Mohammed, Safwan Alsafadi, Karam Enaruvbe, Glory O. Heidari, Ahmad Abdo, Hazem Ghassan Rodrigo-Comino, Jesús |
author_facet | Hateffard, Fatemeh Mohammed, Safwan Alsafadi, Karam Enaruvbe, Glory O. Heidari, Ahmad Abdo, Hazem Ghassan Rodrigo-Comino, Jesús |
author_sort | Hateffard, Fatemeh |
collection | PubMed |
description | Soil erosion (SE) and climate change are closely related to environmental challenges that influence human wellbeing. However, the potential impacts of both processes in semi-arid areas are difficult to be predicted because of atmospheric variations and non-sustainable land use management. Thus, models can be employed to estimate the potential effects of different climatic scenarios on environmental and human interactions. In this research, we present a novel study where changes in soil erosion by water in the central part of Iran under current and future climate scenarios are analyzed using the Climate Model Intercomparison Project-5 (CMIP5) under three Representative Concentration Pathway-RCP 2.6, 4.5 and 8.5 scenarios. Results showed that the estimated annual rate of SE in the study area in 2005, 2010, 2015 and 2019 averaged approximately 12.8 t ha(−1) y(−1). The rangeland areas registered the highest soil erosion values, especially in RCP2.6 and RCP8.5 for 2070 with overall values of 4.25 t ha(−1) y(−1) and 4.1 t ha(−1) y(−1), respectively. They were followed by agriculture fields with 1.31 t ha(−1) y(−1) and 1.33 t ha(−1) y(−1). The lowest results were located in the residential areas with 0.61 t ha(−1) y(−1) and 0.63 t ha(−1) y(−1) in RCP2.6 and RCP8.5 for 2070, respectively. In contrast, RCP4.5 showed that the total soil erosion could experience a decrease in rangelands by − 0.24 t ha(−1) y(−1) (2050), and − 0.18 t ha(−1) y(−1) (2070) or a slight increase in the other land uses. We conclude that this study provides new insights for policymakers and stakeholders to develop appropriate strategies to achieve sustainable land resources planning in semi-arid areas that could be affected by future and unforeseen climate change scenarios. |
format | Online Article Text |
id | pubmed-8012627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80126272021-04-05 CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran Hateffard, Fatemeh Mohammed, Safwan Alsafadi, Karam Enaruvbe, Glory O. Heidari, Ahmad Abdo, Hazem Ghassan Rodrigo-Comino, Jesús Sci Rep Article Soil erosion (SE) and climate change are closely related to environmental challenges that influence human wellbeing. However, the potential impacts of both processes in semi-arid areas are difficult to be predicted because of atmospheric variations and non-sustainable land use management. Thus, models can be employed to estimate the potential effects of different climatic scenarios on environmental and human interactions. In this research, we present a novel study where changes in soil erosion by water in the central part of Iran under current and future climate scenarios are analyzed using the Climate Model Intercomparison Project-5 (CMIP5) under three Representative Concentration Pathway-RCP 2.6, 4.5 and 8.5 scenarios. Results showed that the estimated annual rate of SE in the study area in 2005, 2010, 2015 and 2019 averaged approximately 12.8 t ha(−1) y(−1). The rangeland areas registered the highest soil erosion values, especially in RCP2.6 and RCP8.5 for 2070 with overall values of 4.25 t ha(−1) y(−1) and 4.1 t ha(−1) y(−1), respectively. They were followed by agriculture fields with 1.31 t ha(−1) y(−1) and 1.33 t ha(−1) y(−1). The lowest results were located in the residential areas with 0.61 t ha(−1) y(−1) and 0.63 t ha(−1) y(−1) in RCP2.6 and RCP8.5 for 2070, respectively. In contrast, RCP4.5 showed that the total soil erosion could experience a decrease in rangelands by − 0.24 t ha(−1) y(−1) (2050), and − 0.18 t ha(−1) y(−1) (2070) or a slight increase in the other land uses. We conclude that this study provides new insights for policymakers and stakeholders to develop appropriate strategies to achieve sustainable land resources planning in semi-arid areas that could be affected by future and unforeseen climate change scenarios. Nature Publishing Group UK 2021-03-31 /pmc/articles/PMC8012627/ /pubmed/33790351 http://dx.doi.org/10.1038/s41598-021-86618-z Text en © 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/. |
spellingShingle | Article Hateffard, Fatemeh Mohammed, Safwan Alsafadi, Karam Enaruvbe, Glory O. Heidari, Ahmad Abdo, Hazem Ghassan Rodrigo-Comino, Jesús CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran |
title | CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran |
title_full | CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran |
title_fullStr | CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran |
title_full_unstemmed | CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran |
title_short | CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran |
title_sort | cmip5 climate projections and rusle-based soil erosion assessment in the central part of iran |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012627/ https://www.ncbi.nlm.nih.gov/pubmed/33790351 http://dx.doi.org/10.1038/s41598-021-86618-z |
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