生物学杂志 ›› 2025, Vol. 42 ›› Issue (6): 72-.doi: 10.3969/j.issn.2095-1736.2025.06.072

• 研究报告 • 上一篇    下一篇

气候变化情景下绒鼠属在中国的潜在适生区及时空变化

张 薇, 朱万龙   

  1. 云南师范大学 生命科学学院, 昆明 650500
  • 出版日期:2025-12-18 发布日期:2025-12-19
  • 通讯作者: 朱万龙,博士,教授,研究方向为动物学,E-mail:zwl_8307@163.com
  • 作者简介:张薇,硕士研究生,研究方向为动物学,E-mail:weizhang_39@163.com
  • 基金资助:
    国家自然科学基金项目(32160254); 云南省基础研究计划重点项目(202401AS070039); 云南省兴滇英才计划青年学者专项项目(YNWR-QNRC-2019-047)

Potential suitable habitats and spatiotemporal changes of Eothenomys in China under climate change scenarios

ZHANG Wei, ZHU Wanlong   

  1. School of Life Sciences, Yunnan Normal University, Kunming 650500, China
  • Online:2025-12-18 Published:2025-12-19

摘要: 研究以绒鼠属为研究对象,通过优化后的最大熵模型(maximum entropy model,MaxEnt),基于不同温室气体排放模式,预测未来气候情景下绒鼠属潜在栖息地及其动态变化。结果表明,绒鼠属主要分布在我国云南、四川、重庆、贵州、广西、广东、福建及西藏东南部,高适生区主要集中在云南北部、四川南部、贵州西北部和西藏东南部。最暖季度降水是影响绒鼠属分布的主要气候变量。在不同温室气体排放模式下,绒鼠属分布无规律性。绒鼠属在2050年、2070年和2090年预测分布区总面积变化幅度较小,但高适生区面积缩小,分布质心迁移较小,主要集中在云南、四川交界的东部。在未来绒鼠属一部分向高海拔迁移,一部分向我国东部及沿海地区扩散。绒鼠分布区海拔落差大,栖息地破碎化严重,建议在采取预防鼠害措施的同时,加强对物种的监测和保护,以维护当地生态多样性。

关键词: 绒鼠属, MaxEnt模型, 气候变化, 适生区分布, 生境质心

Abstract: In the present study, an optimized maximum entropy model (MaxEnt) was used to predict both the potential habitat distribution and its dynamics under future climate scenarios across different greenhouse gas emission modes for the genusEothenomys. The findings indicated that the geographic distribution ofEothenomysprimarily encompasses regions within Yunnan, Sichuan, Chongqing, Guizhou, Guangxi, Guangdong, Fujian, and southeastern Xizang in China. Moreover, areas exhibiting high suitability forEothenomyshabitat were predominantly clustered in the northern Yunnan, southern Sichuan, northwestern Guizhou and southeastern Xizang regions. Warmest-quarter precipitation was the key climatic variable affecting the distribution ofEothenomys. The distribution ofEothenomysshowed irregular patterns across different greenhouse gas emission patterns. Although the total area of predicted distribution zones ofEothenomysin the 2050s, 2070s, and 2090s showed minimal changes, high-suitability habitats decreased accompanied by slight shifts in distribution centers, primarily concentrated in the eastern region at the border of Yunnan and Sichuan. In the future, someEothenomyspopulations might migrate to higher altitudes, while others could expand into eastern China and coastal areas. The distribution areas ofEothenomysexhibited significant altitude differences and severe habitat fragmentation, highlighting the importance of enhanced monitoring and protection of the species to preserve local ecological diversity, and the need of implementing measures to prevent rodent damage.

Key words: Eothenomys, MaxEnt modelling, climate change, suitable habitat distribution, habitat centroid

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