Advancing a climate smart strategy for biodiversity conservation in protected areas on the Qinghai-Xizang Plateau
The Qinghai-Xizang Plateau serves as an extensive gene pool for plateau species and a crucial focal point for global biodiversity conservation. Being a climate-sensitive region, the impacts of climate change have led to habitat loss, population extinction, and ecological imbalances, posing formidabl...
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Elsevier
2025-06-01
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| Series: | Geography and Sustainability |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666683925000033 |
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| author | Xuan Li Yanzheng Yang Pengxiang Zhao Da Lv Jun Zhao Zijian Lu Ping Huang Jingyi Zhu Hao Song Binqiang Bao Jalal Kassout Ruonan Li Weihua Xu Hua Zheng |
| author_facet | Xuan Li Yanzheng Yang Pengxiang Zhao Da Lv Jun Zhao Zijian Lu Ping Huang Jingyi Zhu Hao Song Binqiang Bao Jalal Kassout Ruonan Li Weihua Xu Hua Zheng |
| author_sort | Xuan Li |
| collection | DOAJ |
| description | The Qinghai-Xizang Plateau serves as an extensive gene pool for plateau species and a crucial focal point for global biodiversity conservation. Being a climate-sensitive region, the impacts of climate change have led to habitat loss, population extinction, and ecological imbalances, posing formidable challenges to the sustained effectiveness of existing protected areas. Despite substantial advancements in understanding species distribution, assessing habitat changes, and evaluating the efficiency of protected areas in recent decades, comprehensive evaluations encompassing all protected species are lacking, impeding conservation strategies. In this study, we gathered 137,856 observations, encompassing 2,605 species, and utilized the MaxEnt model to simulate changes in the current distribution patterns of endangered species and suitable habitats under future scenarios. We further proposed a climate smart approach to optimize the boundaries of protected areas in response to climate change. Key findings indicate that (1) the Qinghai-Xizang Plateau harbors 2,605 endangered species, constituting 34.04 % of the total endangered species catalog in China; (2) current high-adaptation habitats of Qinghai-Xizang Plateau cover a mere 7 % of the plateau, showing minimal alteration in protected efficiency under climate change scenarios (0.50 % increase); (3) incorporating the effects of climate change in adjusting protected area boundaries enhances their efficiency by an average of 20.52 %. Our proposed methodology holds promise for safeguarding endangered species on the Qinghai-Xizang Plateau and offers significant implications for analogous regions worldwide. |
| format | Article |
| id | doaj-art-c5e084de1f914dfcb1e8c83622e30cd6 |
| institution | DOAJ |
| issn | 2666-6839 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Geography and Sustainability |
| spelling | doaj-art-c5e084de1f914dfcb1e8c83622e30cd62025-08-20T03:23:01ZengElsevierGeography and Sustainability2666-68392025-06-016310026410.1016/j.geosus.2025.100264Advancing a climate smart strategy for biodiversity conservation in protected areas on the Qinghai-Xizang PlateauXuan Li0Yanzheng Yang1Pengxiang Zhao2Da Lv3Jun Zhao4Zijian Lu5Ping Huang6Jingyi Zhu7Hao Song8Binqiang Bao9Jalal Kassout10Ruonan Li11Weihua Xu12Hua Zheng13State Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Forestry, Northwest A&F University, Yangling, Shaanxi 712100, ChinaState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China; Corresponding author.College of Forestry, Northwest A&F University, Yangling, Shaanxi 712100, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaChina Aero Geophysical Survey & Remote Sensing Center for Natural Resources, Beijing 100083, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Forestry, Northwest A&F University, Yangling, Shaanxi 712100, ChinaState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Forestry, Northwest A&F University, Yangling, Shaanxi 712100, ChinaState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Forestry, Northwest A&F University, Yangling, Shaanxi 712100, China; University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; China Aero Geophysical Survey & Remote Sensing Center for Natural Resources, Beijing 100083, China; State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China; Regional Center of Agricultural Research of Marrakech, National Institute of Agricultural Research, Avenue Ennasr, P.O. Box 415, Rabat Principale, Rabat 10090, Morocco; Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaThe Qinghai-Xizang Plateau serves as an extensive gene pool for plateau species and a crucial focal point for global biodiversity conservation. Being a climate-sensitive region, the impacts of climate change have led to habitat loss, population extinction, and ecological imbalances, posing formidable challenges to the sustained effectiveness of existing protected areas. Despite substantial advancements in understanding species distribution, assessing habitat changes, and evaluating the efficiency of protected areas in recent decades, comprehensive evaluations encompassing all protected species are lacking, impeding conservation strategies. In this study, we gathered 137,856 observations, encompassing 2,605 species, and utilized the MaxEnt model to simulate changes in the current distribution patterns of endangered species and suitable habitats under future scenarios. We further proposed a climate smart approach to optimize the boundaries of protected areas in response to climate change. Key findings indicate that (1) the Qinghai-Xizang Plateau harbors 2,605 endangered species, constituting 34.04 % of the total endangered species catalog in China; (2) current high-adaptation habitats of Qinghai-Xizang Plateau cover a mere 7 % of the plateau, showing minimal alteration in protected efficiency under climate change scenarios (0.50 % increase); (3) incorporating the effects of climate change in adjusting protected area boundaries enhances their efficiency by an average of 20.52 %. Our proposed methodology holds promise for safeguarding endangered species on the Qinghai-Xizang Plateau and offers significant implications for analogous regions worldwide.http://www.sciencedirect.com/science/article/pii/S2666683925000033Protected areasBiodiversity assessmentBoundary optimizationClimate changeQinghai-Xizang Plateau |
| spellingShingle | Xuan Li Yanzheng Yang Pengxiang Zhao Da Lv Jun Zhao Zijian Lu Ping Huang Jingyi Zhu Hao Song Binqiang Bao Jalal Kassout Ruonan Li Weihua Xu Hua Zheng Advancing a climate smart strategy for biodiversity conservation in protected areas on the Qinghai-Xizang Plateau Geography and Sustainability Protected areas Biodiversity assessment Boundary optimization Climate change Qinghai-Xizang Plateau |
| title | Advancing a climate smart strategy for biodiversity conservation in protected areas on the Qinghai-Xizang Plateau |
| title_full | Advancing a climate smart strategy for biodiversity conservation in protected areas on the Qinghai-Xizang Plateau |
| title_fullStr | Advancing a climate smart strategy for biodiversity conservation in protected areas on the Qinghai-Xizang Plateau |
| title_full_unstemmed | Advancing a climate smart strategy for biodiversity conservation in protected areas on the Qinghai-Xizang Plateau |
| title_short | Advancing a climate smart strategy for biodiversity conservation in protected areas on the Qinghai-Xizang Plateau |
| title_sort | advancing a climate smart strategy for biodiversity conservation in protected areas on the qinghai xizang plateau |
| topic | Protected areas Biodiversity assessment Boundary optimization Climate change Qinghai-Xizang Plateau |
| url | http://www.sciencedirect.com/science/article/pii/S2666683925000033 |
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