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中国鄂尔多斯荒漠草原啮齿动物物种栖息地的时空动态

Temporal and Spatial Dynamics of Rodent Species Habitats in the Ordos Desert Steppe, China.

作者信息

Hua Rui, Su Qin, Fan Jinfu, Wang Liqing, Xu Linbo, Hui Yuchuang, Huang Miaomiao, Du Bobo, Tian Yanjun, Zhao Yuheng

机构信息

Inner Mongolia Key Laboratory of Grassland Protection Ecology, Grassland Research Institute, Chinese Academy of Agricultural Science, Hohhot 010010, China.

Ordos Forestry and Grassland Bureau, Ordos 017000, China.

出版信息

Animals (Basel). 2025 Mar 3;15(5):721. doi: 10.3390/ani15050721.

DOI:10.3390/ani15050721
PMID:40076004
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11899341/
Abstract

Climate change is driving the restructuring of global biological communities. As a species sensitive to climate change, studying the response of small rodents to climate change is helpful to indirectly understand the changes in ecology and biodiversity in a certain region. Here, we use the MaxEnt (maximum entropy) model to predict the distribution patterns, main influencing factors, and range changes of various small rodents in the Ordos desert steppe in China under different climate change scenarios in the future (2050s: average for 2041-2060). The results show that when the parameters are FC = LQHPT, and RM = 4, the MaxEnt model is optimal and AUC = 0.833. We found that NDVI (normalized difference vegetation index), Bio 12 (annual precipitation), and TOC (total organic carbon) are important driving factors affecting the suitability of the small rodent habitat distribution in the region. At the same time, the main influencing factors were also different for different rodent species. We selected 4 dominant species for analysis and found that, under the situation of future climate warming, the high-suitability habitat area of and will decrease, while that of and will increase. Our research results suggest that local governments should take early preventive measures, strengthen species protection, and respond to ecological challenges brought about by climate change promptly.

摘要

气候变化正在推动全球生物群落的重组。作为对气候变化敏感的物种，研究小型啮齿动物对气候变化的响应有助于间接了解某一地区的生态和生物多样性变化。在此，我们使用最大熵（MaxEnt）模型来预测未来（2050年代：2041 - 2060年平均值）不同气候变化情景下中国鄂尔多斯荒漠草原各种小型啮齿动物的分布格局、主要影响因素及分布范围变化。结果表明，当参数为FC = LQHPT且RM = 4时，MaxEnt模型最优，AUC = 0.833。我们发现归一化植被指数（NDVI）、生物12（年降水量）和总有机碳（TOC）是影响该地区小型啮齿动物栖息地分布适宜性的重要驱动因素。同时，不同啮齿动物物种的主要影响因素也有所不同。我们选取4个优势物种进行分析，发现未来气候变暖情况下，[物种名称1]和[物种名称2]的高适宜栖息地面积将减少，而[物种名称3]和[物种名称4]的高适宜栖息地面积将增加。我们的研究结果表明，地方政府应尽早采取预防措施，加强物种保护，并及时应对气候变化带来的生态挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5d1/11899341/28dbd40802c5/animals-15-00721-g012.jpg
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本文引用的文献

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The Spatial Niche and Influencing Factors of Desert Rodents.
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Potentially Suitable Geographical Area for under Current and Future Climatic Scenarios Based on Optimized MaxEnt Model.基于优化最大熵模型的当前和未来气候情景下潜在适宜地理区域
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