气候变化领域集成服务门户(CCPortal): Spatio-Temporal Changes and Habitats of Rare and Endangered Species in Yunnan Province Based on MaxEnt Model

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DOI	10.3390/land13020240
	Spatio-Temporal Changes and Habitats of Rare and Endangered Species in Yunnan Province Based on MaxEnt Model
	Lian, Yiwei; Bai, Yang; Huang, Zhongde; Ali, Maroof; Wang, Jie; Chen, Haoran
发表日期	2024
EISSN	2073-445X
起始页码	13
结束页码	2
卷号	13 期号:2
英文摘要	Biodiversity is crucial for ecosystem functioning, but it is rapidly declining due to human activities and climate change. Protecting biodiversity has become a key priority for global environmental conservation actions. Rare and endangered species have a great impact on the ecosystem, yet due to their limited survival capacity, they are more prone to extinction, thus exerting a significant impact on biodiversity. However, current research reveals a lack of information concerning the potential distribution and changes of these species. This study used the maximum entropy model to predict the present and future potential habitats of rare and endangered species in Yunnan Province. After superimposing model results, four richness regions are divided by the natural breakpoint method and analyzed. Existing protected areas are compared with hotspots, and the land-use composition of hotspots is also analyzed. The results revealed that, in both current and future scenarios, rare and endangered species in Yunnan Province are primarily found in the western mountainous region, the Xishuangbanna-Wenshan high temperature area, and the Kunming-Qujing dense vegetation cover area. These species are also expanding their distribution towards the western mountainous area. However, under the low carbon emission scenario (RCP2.6), these species will spread from the high abundance regions to the low altitude hotspots by 2070. In the high carbon emissions scenario (RCP8.5), there will be fewer high abundance areas in 2070 than in 2050. The transfer matrix analysis reveals regional richness variations over time. Furthermore, the analysis revealed significant conservation gaps and found that existing hotspot areas were heavily affected by human activities. To improve conservation efficiency, it is necessary to enhance the protection of existing hotspots in Yunnan Province. Climate change plays a significant role in species migration, with precipitation levels being a key factor. The necessary actions should be taken to address the insufficient protection, resolve conflicts between human activities and land use in critical areas, and formulate effective strategies for adapting to future climate changes. Yunnan Province, with its rich species resources, has the potential to become a global innovator in biodiversity conservation by implementing improved conservation strategies.
英文关键词	rare and endangered species; MaxEnt model; biodiversity prediction; climate change; gap analysis
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Studies
WOS记录号	WOS:001172046600001
来源期刊	LAND
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/310043
作者单位	Chinese Academy of Sciences; Chinese Academy of Sciences; Xishuangbanna Tropical Botanical Garden, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Yunnan University
推荐引用方式 GB/T 7714	Lian, Yiwei,Bai, Yang,Huang, Zhongde,et al. Spatio-Temporal Changes and Habitats of Rare and Endangered Species in Yunnan Province Based on MaxEnt Model[J],2024,13(2).
APA	Lian, Yiwei,Bai, Yang,Huang, Zhongde,Ali, Maroof,Wang, Jie,&Chen, Haoran.(2024).Spatio-Temporal Changes and Habitats of Rare and Endangered Species in Yunnan Province Based on MaxEnt Model.LAND,13(2).
MLA	Lian, Yiwei,et al."Spatio-Temporal Changes and Habitats of Rare and Endangered Species in Yunnan Province Based on MaxEnt Model".LAND 13.2(2024).