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Article

Modeling the Potential Distribution of Two Species of Shrews (Chodsigoa hypsibia and Anourosorex squamipes) under Climate Change in China

1
Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu 241000, China
2
Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-Founded by Anhui Province and Ministry of Education, School of Ecology and Environment, Anhui Normal University, Wuhu 241002, China
3
State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650204, China
*
Author to whom correspondence should be addressed.
Diversity 2022, 14(2), 87; https://doi.org/10.3390/d14020087
Submission received: 15 November 2021 / Revised: 25 January 2022 / Accepted: 26 January 2022 / Published: 27 January 2022

Abstract

Understanding how the direct and indirect effects of climate change may affect species distributions is a key topic in ecology. We used maximum entropy models to explore the distribution of two species of shrews (Chodsigoa hypsibia and Anourosorex squamipes) in China and analyzed the main environmental factors affecting their current distribution and potential distribution changes under two future climate scenarios. The results showed that the major environmental factors determining the current distribution of C. hypsibia were the mean temperature of the coldest quarter (contributing 47.4%), annual mean temperature (contributing 24.7%), precipitation of the driest quarter (contributing 21.1%) and isothermality (contributing 6%). Annual precipitation (contributing 42.9%), precipitation of the driest month (contributing 28.1%), annual mean temperature (contributing 14.8%) and temperature seasonality (contributing 12.6%) had the highest contributions to the distribution of A. squamipes. Under future climate scenarios, the suitable habitat range of C. hypsibia increased while that of A. squamipes decreased. These findings demonstrate that different small mammal species respond differently to climate change.
Keywords: MaxEnt model; climate change; Chodsigoa hypsibia; Anourosorex squamipes; potential distribution MaxEnt model; climate change; Chodsigoa hypsibia; Anourosorex squamipes; potential distribution

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MDPI and ACS Style

Hu, W.; Onditi, K.O.; Jiang, X.; Wu, H.; Chen, Z. Modeling the Potential Distribution of Two Species of Shrews (Chodsigoa hypsibia and Anourosorex squamipes) under Climate Change in China. Diversity 2022, 14, 87. https://doi.org/10.3390/d14020087

AMA Style

Hu W, Onditi KO, Jiang X, Wu H, Chen Z. Modeling the Potential Distribution of Two Species of Shrews (Chodsigoa hypsibia and Anourosorex squamipes) under Climate Change in China. Diversity. 2022; 14(2):87. https://doi.org/10.3390/d14020087

Chicago/Turabian Style

Hu, Wenhao, Kenneth Otieno Onditi, Xuelong Jiang, Hailong Wu, and Zhongzheng Chen. 2022. "Modeling the Potential Distribution of Two Species of Shrews (Chodsigoa hypsibia and Anourosorex squamipes) under Climate Change in China" Diversity 14, no. 2: 87. https://doi.org/10.3390/d14020087

APA Style

Hu, W., Onditi, K. O., Jiang, X., Wu, H., & Chen, Z. (2022). Modeling the Potential Distribution of Two Species of Shrews (Chodsigoa hypsibia and Anourosorex squamipes) under Climate Change in China. Diversity, 14(2), 87. https://doi.org/10.3390/d14020087

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