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Assessing the environmental destruction in forest ecosystems using landscape metrics and spatial analysis
Forest degradation is a serious environmental issue that has significant implications for ecological stability, biodiversity, and human well-being. Identifying the extent and severity of forest degradation is crucial for effective management and conservation of forest ecosystems. The objective of th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499934/ https://www.ncbi.nlm.nih.gov/pubmed/37704677 http://dx.doi.org/10.1038/s41598-023-42251-6 |
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author | Mansori, M. Badehian, Z. Ghobadi, M. Maleknia, R. |
author_facet | Mansori, M. Badehian, Z. Ghobadi, M. Maleknia, R. |
author_sort | Mansori, M. |
collection | PubMed |
description | Forest degradation is a serious environmental issue that has significant implications for ecological stability, biodiversity, and human well-being. Identifying the extent and severity of forest degradation is crucial for effective management and conservation of forest ecosystems. The objective of this study was to assess the ecological vulnerability of the forest in the Dadabad region using spatial analysis and landscape metrics. The land cover map of the area was divided into 13 sub-basins to quantify landscape metrics, and the severity of human activities, degradation level, and ecological vulnerability were calculated for each sub-basin. Each sub-basin was evaluated as a single landscape to determine the extent of degradation, and landscape zoning was performed based on the degradation coefficients. The study found that sub-basins 2 and 4 had the highest levels of degradation, while sub-basins 3, 7, 8, 11, and 12 were the least degraded. Over half of the Dadabad region, 37.8% for protection and 32.25% for rehabilitation, was recommended for conservation planning. The research highlights the importance of using spatial analysis of landscape metrics to assist managers and planners in protecting and conserving natural areas. |
format | Online Article Text |
id | pubmed-10499934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104999342023-09-15 Assessing the environmental destruction in forest ecosystems using landscape metrics and spatial analysis Mansori, M. Badehian, Z. Ghobadi, M. Maleknia, R. Sci Rep Article Forest degradation is a serious environmental issue that has significant implications for ecological stability, biodiversity, and human well-being. Identifying the extent and severity of forest degradation is crucial for effective management and conservation of forest ecosystems. The objective of this study was to assess the ecological vulnerability of the forest in the Dadabad region using spatial analysis and landscape metrics. The land cover map of the area was divided into 13 sub-basins to quantify landscape metrics, and the severity of human activities, degradation level, and ecological vulnerability were calculated for each sub-basin. Each sub-basin was evaluated as a single landscape to determine the extent of degradation, and landscape zoning was performed based on the degradation coefficients. The study found that sub-basins 2 and 4 had the highest levels of degradation, while sub-basins 3, 7, 8, 11, and 12 were the least degraded. Over half of the Dadabad region, 37.8% for protection and 32.25% for rehabilitation, was recommended for conservation planning. The research highlights the importance of using spatial analysis of landscape metrics to assist managers and planners in protecting and conserving natural areas. Nature Publishing Group UK 2023-09-13 /pmc/articles/PMC10499934/ /pubmed/37704677 http://dx.doi.org/10.1038/s41598-023-42251-6 Text en © The Author(s) 2023 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 Mansori, M. Badehian, Z. Ghobadi, M. Maleknia, R. Assessing the environmental destruction in forest ecosystems using landscape metrics and spatial analysis |
title | Assessing the environmental destruction in forest ecosystems using landscape metrics and spatial analysis |
title_full | Assessing the environmental destruction in forest ecosystems using landscape metrics and spatial analysis |
title_fullStr | Assessing the environmental destruction in forest ecosystems using landscape metrics and spatial analysis |
title_full_unstemmed | Assessing the environmental destruction in forest ecosystems using landscape metrics and spatial analysis |
title_short | Assessing the environmental destruction in forest ecosystems using landscape metrics and spatial analysis |
title_sort | assessing the environmental destruction in forest ecosystems using landscape metrics and spatial analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499934/ https://www.ncbi.nlm.nih.gov/pubmed/37704677 http://dx.doi.org/10.1038/s41598-023-42251-6 |
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