基于泰森多边形模型预测喜马拉雅旱獭的领域边界

doi:10.17520/biods.2026185

生物多样性

基于泰森多边形模型预测喜马拉雅旱獭的领域边界

王嘉琳^1#, 王涛^1#, 袁怡阳¹, 杨子璎¹, 郭程², 陈毅³, 班英⁴, 向左甫^1,3, 鲍自强^1,3*

1中南林业科技大学林学院, 长沙 410000; 2中南林业科技大学生命科学与技术学院, 长沙 410000; 3中南林业科技大学国家公园与旅游学院, 长沙 410000; 4四川若尔盖湿地国家级自然保护区管理局, 四川阿坝藏族羌族自治州 624500

收稿日期:2026-05-15 修回日期:2026-07-01 接受日期:2026-09-10
通讯作者: 鲍自强
基金资助:
湖南省自然科学基金项目(2025JJ60191); 中南林业科技大学引进人才科研启动基金项目(2025YJZ002)

Predicting the territory boundaries of the Himalayan marmot based on the Voronoi diagram model

Jialin Wang^1#, Tao Wang^1# , Yiyang Yuan¹, Ziying Yang¹, Cheng Guo², Yi Chen³, Ying Ban⁴, Zuofu Xiang^1,3, Ziqiang Bao^1,3*

1 College of Forestry, Central South University of Forestry and Technology, Changsha 410000, China

2 College of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410000, China

3 National Park and Tourism College, Central South University of Forestry and Technology, Changsha 410000, China

4 Sichuan Zoigê Wetland National Nature Reserve Administration, Aba, Sichuan 624500, China

Received:2026-05-15 Revised:2026-07-01 Accepted:2026-09-10
Contact: Ziqiang Bao

摘要/Abstract

摘要： 喜马拉雅旱獭(Marmota himalayana)是青藏高原特有的穴居型啮齿动物, 其家族领域边界的准确划分不仅具有重要的生态学价值, 也对鼠疫精准防控具有实际意义。然而, 基于其洞穴系统对家族领域边界的快速、可量化划分模型仍有待建立。本研究以四川阿坝藏族羌族自治州若尔盖县多玛村高寒草甸为研究样地, 基于野外调查获得的37个主洞坐标构建泰森多边形模型, 将实测的701个临时洞归属(观察组)与模型预测的各多边形内临时洞数量(模型组)进行对比验证, 并采用配对t检验、线性回归及z值法评估模型有效性。结果表明, 观察组与模型组之间无显著统计学差异(P > 0.05), 两者呈显著正相关(R² = 0.88, P < 0.01), 模型整体有效性达95%以上; 模型误差主要集中于样地中心高密度区域的多边形边界附近, 与喜马拉雅旱獭在密集竞争条件下领域边界具有弹性特征有关, 而边缘区域拟合效果较好。基于主洞坐标的泰森多边形模型能够有效划分喜马拉雅旱獭的家族活动领域, 其“最近邻独占”原则基本符合该物种“核心巢穴-外围活动区”的空间利用策略。本研究为基于洞穴系统快速评估啮齿动物领域分布提供了简便、可量化的技术方案, 在旱獭种群监测与鼠疫靶向防控中具有明确的推广价值。

关键词: 喜马拉雅旱獭, 领域, 泰森多边形, 鼠害

Abstract

Aims: The Himalayan marmot (Marmota himalayana) is a burrowing rodent endemic to the Qinghai-Xizang Plateau. Accurately delineating its family territories holds both significant ecological value and practical importance for precision plague prevention and control. However, a rapid and quantifiable model for delineating family territory boundaries based on the burrow system has yet to be established.

Methods: This study conducted field investigations in the high-altitude meadow of Duoma Village, Ruoergai County, and constructed a Voronoi diagram model based on the coordinates of 37 main burrows. The 701 temporary holes observed (observation group) were compared and verified with the number of temporary holes predicted within each polygon by the model (model group), and the validity of the model was evaluated using paired t-test, linear regression, and z-value method.

Results: There was no significant statistical difference between the observation group and the model group (P > 0.05), and had a significant positive correlation (R² = 0.88, P < 0.01) between the two groups, with the overall validity of the model reaching over 95%. The model errors were mainly concentrated near the boundaries of the Voronoi diagram in the high-density central area of the study site, which was related to the elastic characteristics of the territory boundaries of the Himalayan marmot under dense competition conditions, while the fitting effect was better in the edge areas.

Conclusion: We confirmed that the Voronoi diagram model based on the coordinates of main burrows can effectively delineate the family territory of the Himalayan marmot, and its “nearest-neighbor exclusive” principle basically conforms to the spatial utilization strategy of the species “core nest–peripheral activity area”. This study provided a simple and quantifiable technical solution for rapid assessment of the distribution of rodent territories based on the burrow system and had clear application value in the monitoring of marmot populations and targeted plague prevention and control.

Key words: Himalayan marmot, territory, Voronoi diagram, plague

王嘉琳, 王涛, 袁怡阳, 杨子璎, 郭程, 陈毅, 班英, 向左甫, 鲍自强. 基于泰森多边形模型预测喜马拉雅旱獭的领域边界. 生物多样性, DOI: 10.17520/biods.2026185.

Jialin Wang, Tao Wang, Yiyang Yuan, Ziying Yang, Cheng Guo, Yi Chen, Ying Ban, Zuofu Xiang, Ziqiang Bao. Predicting the territory boundaries of the Himalayan marmot based on the Voronoi diagram model. Biodiversity Science, DOI: 10.17520/biods.2026185.

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