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白颊猕猴(Macaca leucogenys)在西藏雅鲁藏布大峡谷国家级自然保护区的栖息地适宜性评价

徐进博, 崔雅倩, 王渊, 王伟波, 刘锋, 王广龙, 扈晶晶, 普布顿珠, 边巴多吉, 旦增, 胡开, 王小川, 宋刚, 吕永磊, 温知新   

  1. 西藏农牧学院 资源与环境学院, 860000
  • 收稿日期:2024-11-08 修回日期:2025-02-17 接受日期:2025-05-11 出版日期:2025-07-29 发布日期:2025-07-29
  • 通讯作者: 温知新

Habitat Suitability Evaluation of Macaca leucogenys in the Yarlung Zangbo Grand Canyon National Nature Reserve, Tibet

Jin-Bo XU, Ya-Qian CUI, Yuan Wang, Wei Bo WANG, Feng LIU, Wang Guang Long, JingJing HU, PuBu DunZhu, DuoJI BIANBA, Zeng DAN, Kai HU, Xiao Chuan WANG, GANG SONG, Yong-Lei LV, Zhi Xin WEN   

  1. , College of Resources and Environment, Xizang Agricultural & Animal Husbandry University 860000,
  • Received:2024-11-08 Revised:2025-02-17 Accepted:2025-05-11 Online:2025-07-29 Published:2025-07-29
  • Contact: WEN, Zhi Xin

摘要: 白颊猕猴(Macaca leucogenys)是灵长目猴科猕猴属的国家二级重点保护野生动物,是我国学者于2015年在墨脱地区发现并命名的新哺乳动物物种,白颊猕猴的分布范围有限,种群数量稀少,对于白颊猕猴栖息地适宜性评价方面尚缺乏相关的研究。为了解白颊猕猴的分布格局,本研究通过红外相机布设与野外调查数据,结合冠层高度、HII(人类影响指数)、海拔、坡向、坡度和19 个生物气候因子,使用MaxEnt 模型系统分析了白颊猕猴在西藏雅鲁藏布大峡谷国家级自然保护区的栖息地分布现状及影响因素,并根据未来不同气候变化情景下该区域的生境状况,预测了栖息地的变化趋势。结果显示:(1)筛选后的气候和地形因子拟合的 MaxEnt 模型AUC值为0.932,表明模型预测结果较为准确;(2)影响白颊猕猴当前分布的关键环境变量为最湿月降水量(bio13)、HII(人类影响指数)、气温年较差(bio7)、最冷季降水量(bio19)。(3)当前气候条件下,白颊猕猴的高适生区大部分集中在西藏雅鲁藏布大峡谷国家级自然保护区的实验区内,部分高适生区分布于达木核心区,在未来2050s年SSP1-2.6气候情景下,白颊猕猴的适生区相较于当前气候条件下有所增加,在未来2050s年SSP3-7.0气候情景下,白颊猕猴的适生区相较于当前气候条件下有所减少。本研究为了解白颊猕猴当前及未来的分布情况以及对该珍稀物种实施的有效保护策略提供理论和基础数据支持。

关键词: 白颊猕猴, 西藏雅鲁藏布大峡谷国家级自然保护区, MaxEnt模型, 适宜性评价, 气候变化

AbstractAims: The white-cheeked macaque (Macaca leucogenys), a primate species of the genus Macaca, is classified as a Class II National Protected Animal in China. It is a novel mammal species discovered and named by Chinese scholars in the Moutuo area in 2015. The distribution range of Macaca leucogenys is very limited and its population is small. There is a lack of research on the habitat suitability of Macaca leucogenys. Methods: To understand the distribution pattern of Macaca leucogenys, this study used infrared camera deployments and field survey data, combined with canopy height, HII (Human Influence Index), elevation, aspect, slope, and 19 bioclimatic factors. The Maxent model was used to systematically analyze the current habitat distribution and influencing factors for Macaca leucogenys within the Yarlung Zangbo Grand Canyon National Nature Reserve, Tibet. Additionally, we predicted habitat change trends based on the habitat conditions of the region under different future climate scenarios. Results:(1) The MaxEnt models, fitted with the selected climate and topographic factors, had an AUC value of 0.932, indicating that the model prediction results were relatively accurate; (2) the key environmental variables affecting the current distribution of Macaca leucogenys were the precipitation of wettest month (bio13), HII (Human Influence Index), annual temperature range (bio7) and the precipitation of coldest quarter (bio19); (3) under current climate conditions, the majority of high suitability habitats for Macaca leucogenys are located in the experimental area of the Yarlung Zangbo Grand Canyon National Nature Reserve , with some high suitability habitats being located at the Damu core area. Under the SSP1-2.6 climate scenario projected for the 2050s, the suitable habitat of Macaca leucogenys will expand. However, under the SSP3-7.0 climate scenario projected for the 2050s, the suitable habitat of Macaca leucogenys will contract compared to the present climate conditions . Conclusion:This study provides theoretical and foundational data for understanding the current and future distribution of Macaca leucogenys, which is important for implementing effective conservation strategies for this endangered species.

Key words: Macaca leucogenys, Tibet's Yarlung Zangbo Grand Canyon National Nature Reserve, MaxEnt model, suitability evaluation, Climate change