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Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China
With ongoing economic and social development, natural habitats are becoming increasingly fragmented, blocking habitat connections and reducing landscape connectivity. The study of changes in ecological connectivity can provide valuable information for habitat and landscape restoration, which are nec...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566035/ https://www.ncbi.nlm.nih.gov/pubmed/36232239 http://dx.doi.org/10.3390/ijerph191912941 |
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author | Guo, Shili Deng, Xian Ran, Jiaxuan Ding, Xiangyu |
author_facet | Guo, Shili Deng, Xian Ran, Jiaxuan Ding, Xiangyu |
author_sort | Guo, Shili |
collection | PubMed |
description | With ongoing economic and social development, natural habitats are becoming increasingly fragmented, blocking habitat connections and reducing landscape connectivity. The study of changes in ecological connectivity can provide valuable information for habitat and landscape restoration, which are necessary for sustainable regional development. Despite the growing interest in this issue, studies that reveal the change in ecological connectivity in the compounded areas of ecological vulnerability and deep poverty are still lacking. In this paper, one of the most underdeveloped and ecologically fragile southwestern ethnic regions of China, the Sanzhou region of Sichuan Province, was the study area. Based on a vector map of current land-use status and vector data on ecosystem factors and nature reserves in 2010 and 2015, the change in ecological connectivity was analyzed using the minimum cumulative resistance model using GIS spatial analysis method. Firstly, ecological sources were identified based on the distribution of ecological functional areas. Secondly, the ecological resistance surface based on ecosystem service value is revised by integrating the three dimensions of topography and hydrology, ecological environment and development, and utilization intensity. Finally, the ecological connectivity of ethnic areas in southwest China in 2010 and 2015 was compared and analyzed through the perspective of ecological resistance. The results show that: (1) From 2010 to 2015, the overall ecological connectivity decreased. (2) There were six areas of high ecological resistance featuring human activity and ecological degradation: the Anning River Valley in Liangshan Prefecture, Ganzi, Dege and Luho counties in Ganzi Prefecture, and Ruoergai and Hongyuan counties in Aba Prefecture. (3) Low ecological resistance areas were more numerous and widely distributed, forming an ecological protection barrier for the three autonomous prefectures, and regulating and protecting their natural environments. It is necessary to maintain and strengthen this protection; accordingly, measures are proposed to improve ecological connectivity. This study provides a reference for achieving ecological security and harmonious coexistence between humans and nature in this region. |
format | Online Article Text |
id | pubmed-9566035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95660352022-10-15 Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China Guo, Shili Deng, Xian Ran, Jiaxuan Ding, Xiangyu Int J Environ Res Public Health Article With ongoing economic and social development, natural habitats are becoming increasingly fragmented, blocking habitat connections and reducing landscape connectivity. The study of changes in ecological connectivity can provide valuable information for habitat and landscape restoration, which are necessary for sustainable regional development. Despite the growing interest in this issue, studies that reveal the change in ecological connectivity in the compounded areas of ecological vulnerability and deep poverty are still lacking. In this paper, one of the most underdeveloped and ecologically fragile southwestern ethnic regions of China, the Sanzhou region of Sichuan Province, was the study area. Based on a vector map of current land-use status and vector data on ecosystem factors and nature reserves in 2010 and 2015, the change in ecological connectivity was analyzed using the minimum cumulative resistance model using GIS spatial analysis method. Firstly, ecological sources were identified based on the distribution of ecological functional areas. Secondly, the ecological resistance surface based on ecosystem service value is revised by integrating the three dimensions of topography and hydrology, ecological environment and development, and utilization intensity. Finally, the ecological connectivity of ethnic areas in southwest China in 2010 and 2015 was compared and analyzed through the perspective of ecological resistance. The results show that: (1) From 2010 to 2015, the overall ecological connectivity decreased. (2) There were six areas of high ecological resistance featuring human activity and ecological degradation: the Anning River Valley in Liangshan Prefecture, Ganzi, Dege and Luho counties in Ganzi Prefecture, and Ruoergai and Hongyuan counties in Aba Prefecture. (3) Low ecological resistance areas were more numerous and widely distributed, forming an ecological protection barrier for the three autonomous prefectures, and regulating and protecting their natural environments. It is necessary to maintain and strengthen this protection; accordingly, measures are proposed to improve ecological connectivity. This study provides a reference for achieving ecological security and harmonious coexistence between humans and nature in this region. MDPI 2022-10-10 /pmc/articles/PMC9566035/ /pubmed/36232239 http://dx.doi.org/10.3390/ijerph191912941 Text en © 2022 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 Guo, Shili Deng, Xian Ran, Jiaxuan Ding, Xiangyu Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China |
title | Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China |
title_full | Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China |
title_fullStr | Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China |
title_full_unstemmed | Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China |
title_short | Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China |
title_sort | spatial and temporal patterns of ecological connectivity in the ethnic areas, sichuan province, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566035/ https://www.ncbi.nlm.nih.gov/pubmed/36232239 http://dx.doi.org/10.3390/ijerph191912941 |
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