Study on the Spatiotemporal Changes and Driving Factors of Habitat Quality in the Yarlung Zangbo River From 2000 to 2020
ABSTRACT The Yarlung Zangbo River (YLZB), the world's highest plateau river, possesses a particularly fragile ecosystem, making it highly vulnerable to global climate change. Understanding changes in YLZB habitat quality and their driving mechanisms is crucial for ecological protection and sust...
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Wiley
2025-02-01
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| Series: | Ecology and Evolution |
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| Online Access: | https://doi.org/10.1002/ece3.70807 |
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| author | Yu Chen Yujie Kang Jingji Li Yanguo Liu Qin Liu Zhengyu Luo Xiaohui Zhou Tingbin Zhang Guoyan Wang Xiaolu Tang Xiangjun Pei |
| author_facet | Yu Chen Yujie Kang Jingji Li Yanguo Liu Qin Liu Zhengyu Luo Xiaohui Zhou Tingbin Zhang Guoyan Wang Xiaolu Tang Xiangjun Pei |
| author_sort | Yu Chen |
| collection | DOAJ |
| description | ABSTRACT The Yarlung Zangbo River (YLZB), the world's highest plateau river, possesses a particularly fragile ecosystem, making it highly vulnerable to global climate change. Understanding changes in YLZB habitat quality and their driving mechanisms is crucial for ecological protection and sustainable development in the region. Based on land use data from 2000 to 2020, we conducted a quantitative study on the spatiotemporal changes and driving mechanisms of habitat quality in the YLZB. This study employed habitat quality model, Land Use Transition Matrix, optimal parameter geographical detector, and partial least squares structural equation model (PLS‐SEM). The results show that: (1) Forests, grasslands, and unused land account for 94.14% of the basin area. The areas of unused land, forest land, and water bodies have continuously increased, while the areas of grasslands, permanent glaciers, and snowfields have continuously decreased. The decline was most pronounced from 2005 to 2010. (2) The habitat quality in the study area is higher in the southeast and lower in the west. The area of degraded habitats is significantly larger than that of improved habitats. (3) NDVI, elevation, and annual average temperature are key factors affecting changes in habitat quality. Elevation indirectly affects NDVI by influencing climate conditions, leading to a decline in habitat quality. This study provides a scientific basis for understanding ecological trends in YLZB habitat quality, it provides new insights into the intrinsic driving mechanisms in high‐altitude regions, and it offers theoretical support for relevant departments to implement sustainable management and conservation efforts. |
| format | Article |
| id | doaj-art-71e618314a6547e284f4eed14cd8fde5 |
| institution | Kabale University |
| issn | 2045-7758 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecology and Evolution |
| spelling | doaj-art-71e618314a6547e284f4eed14cd8fde52025-08-20T03:26:04ZengWileyEcology and Evolution2045-77582025-02-01152n/an/a10.1002/ece3.70807Study on the Spatiotemporal Changes and Driving Factors of Habitat Quality in the Yarlung Zangbo River From 2000 to 2020Yu Chen0Yujie Kang1Jingji Li2Yanguo Liu3Qin Liu4Zhengyu Luo5Xiaohui Zhou6Tingbin Zhang7Guoyan Wang8Xiaolu Tang9Xiangjun Pei10State Key Laboratory of Geological Hazard Prevention and Geological Environmental Protection Chengdu University of Technology Chengdu ChinaCollege of Ecology and Environment Chengdu University of Technology Chengdu ChinaState Key Laboratory of Geological Hazard Prevention and Geological Environmental Protection Chengdu University of Technology Chengdu ChinaSchool of Environment Resource Southwest University of Science and Technology Mianyang ChinaInstitute of Mountain Hazards and Environment, Chinese Academy of Sciences Chengdu ChinaCollege of Ecology and Environment Chengdu University of Technology Chengdu ChinaCollege of Ecology and Environment Chengdu University of Technology Chengdu ChinaCollege of Earth Science Chengdu University of Technology Chengdu ChinaCollege of Geography and Planning Chengdu University of Technology Chengdu ChinaState Key Laboratory of Geological Hazard Prevention and Geological Environmental Protection Chengdu University of Technology Chengdu ChinaState Key Laboratory of Geological Hazard Prevention and Geological Environmental Protection Chengdu University of Technology Chengdu ChinaABSTRACT The Yarlung Zangbo River (YLZB), the world's highest plateau river, possesses a particularly fragile ecosystem, making it highly vulnerable to global climate change. Understanding changes in YLZB habitat quality and their driving mechanisms is crucial for ecological protection and sustainable development in the region. Based on land use data from 2000 to 2020, we conducted a quantitative study on the spatiotemporal changes and driving mechanisms of habitat quality in the YLZB. This study employed habitat quality model, Land Use Transition Matrix, optimal parameter geographical detector, and partial least squares structural equation model (PLS‐SEM). The results show that: (1) Forests, grasslands, and unused land account for 94.14% of the basin area. The areas of unused land, forest land, and water bodies have continuously increased, while the areas of grasslands, permanent glaciers, and snowfields have continuously decreased. The decline was most pronounced from 2005 to 2010. (2) The habitat quality in the study area is higher in the southeast and lower in the west. The area of degraded habitats is significantly larger than that of improved habitats. (3) NDVI, elevation, and annual average temperature are key factors affecting changes in habitat quality. Elevation indirectly affects NDVI by influencing climate conditions, leading to a decline in habitat quality. This study provides a scientific basis for understanding ecological trends in YLZB habitat quality, it provides new insights into the intrinsic driving mechanisms in high‐altitude regions, and it offers theoretical support for relevant departments to implement sustainable management and conservation efforts.https://doi.org/10.1002/ece3.70807driving factorshabitat qualityland useoptimal parameter geographic detector (OPGD)partial least squares structural equation modelYarlung Zangbo River |
| spellingShingle | Yu Chen Yujie Kang Jingji Li Yanguo Liu Qin Liu Zhengyu Luo Xiaohui Zhou Tingbin Zhang Guoyan Wang Xiaolu Tang Xiangjun Pei Study on the Spatiotemporal Changes and Driving Factors of Habitat Quality in the Yarlung Zangbo River From 2000 to 2020 Ecology and Evolution driving factors habitat quality land use optimal parameter geographic detector (OPGD) partial least squares structural equation model Yarlung Zangbo River |
| title | Study on the Spatiotemporal Changes and Driving Factors of Habitat Quality in the Yarlung Zangbo River From 2000 to 2020 |
| title_full | Study on the Spatiotemporal Changes and Driving Factors of Habitat Quality in the Yarlung Zangbo River From 2000 to 2020 |
| title_fullStr | Study on the Spatiotemporal Changes and Driving Factors of Habitat Quality in the Yarlung Zangbo River From 2000 to 2020 |
| title_full_unstemmed | Study on the Spatiotemporal Changes and Driving Factors of Habitat Quality in the Yarlung Zangbo River From 2000 to 2020 |
| title_short | Study on the Spatiotemporal Changes and Driving Factors of Habitat Quality in the Yarlung Zangbo River From 2000 to 2020 |
| title_sort | study on the spatiotemporal changes and driving factors of habitat quality in the yarlung zangbo river from 2000 to 2020 |
| topic | driving factors habitat quality land use optimal parameter geographic detector (OPGD) partial least squares structural equation model Yarlung Zangbo River |
| url | https://doi.org/10.1002/ece3.70807 |
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