兽类学报 ›› 2023, Vol. 43 ›› Issue (4): 378-386.DOI: 10.16829/j.slxb.150733

• 研究论文 • 上一篇    下一篇

浙江九龙山国家级自然保护区六种兽类占域分析及其影响因素

郑伟成1, 郑子洪1, 刘菊莲1, 王宇1, 杨晓君1, 黄林平1, 丁平2, 曾頔2,3   

  1. 1 浙江九龙山国家级自然保护区管理中心, 遂昌 323300;
    2 浙江大学生命科学学院, 杭州 310058;
    3 华东师范大学生态与环境科学学院, 上海 200241
  • 收稿日期:2022-09-07 修回日期:2023-04-12 发布日期:2023-08-02
  • 通讯作者: 郑伟成,E-mail:jlszwc@126.com
  • 作者简介:郑伟成(1976-),男,高级工程师,主要从事保护区生物多样性保护与研究.
  • 基金资助:
    遂昌县县校合作项目(2020-HZ15);丽水市本级公益性技术应用研究项目(2021SJC090)

The occupancy of six mammal species and the potential impacting factors in Jiulongshan National Nature Reserve, Zhejiang Province

ZHENG Weicheng1, ZHENG Zihong1, LIU Julian1, WANG Yu1, YANG Xiaojun1, HUANG Linping1, DING Ping2, ZENG Di2,3   

  1. 1 Administration Center of Zhejiang Jiulongshan National Nature Reserve, Suichang 323300, China;
    2 College of Life Sciences, Zhejiang University, Hangzhou 310058, China;
    3 School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
  • Received:2022-09-07 Revised:2023-04-12 Published:2023-08-02

摘要: 我国是世界上兽类多样性最高的国家之一,也是濒危兽类分布的大国。了解濒危兽类在保护区内的分布及影响因素,将有助于开展科学有效的兽类多样性保护和提高保护区的管理效率。然而现有的研究较多集中于自然保护区内的物种编目,探讨多个物种在保护区内的空间分布格局及其影响因素的研究还相对缺乏。本研究以九龙山国家级自然保护区中6种濒危兽类为研究对象,基于占域模型评估这些物种的空间分布及影响因素,以期为后续的监测和保护提供科学依据。结果表明,藏酋猴(Macaca thibetana)平均占域率最高(48.62%),豹猫(Prionailurus bengalensis)平均占域率最低(2.14%);豹猫的平均探测率最高(22.95%),藏酋猴探测率最低(1.75%)。其中,海拔是影响猕猴(Macaca mulatta)、中华鬣羚(Capricornis milneedwardsii)和豹猫占域率的重要因素,而100 m内是否有水源则是影响黑麂(Muntiacus crinifrons)、中华鬣羚和豹猫探测率的重要因素。本研究表明,海拔是影响九龙山地区濒危兽类分布的重要环境因素,而水源则是影响监测效率的重要环境因素。在后续的监测和管理中,我们应针对这些因素开展监测和保护策略的调整和优化。

关键词: 占域模型, 空间分布格局, 红外相机, 濒危兽类监测, 环境因素

Abstract: China is one of the countries with the most mammal species and threatened mammals in the world. It is essential to understand the spatial distribution of threatened mammals and the underlying impacting factors to enhance the protection efficiency of the natural reserves. Although mammal surveys have been conducted in most nature reserves in China, many researchers have focused on basic data collection. The local distribution of mammals and the potential impacting factors in nature reserves are still unclear, especially for some threatened mammal species. We used camera trap data of six mammal species in Jiulongshan National Nature Reserve to assess the occupancy of these species and the potential impacting factors by the Bayesian single-species occupancy models. The results indicated that the Macaca thibetana had the highest occupancy probability (48. 62%), and Prionailurus bengalensis had the lowest occupancy probability (2. 14%). For detection probability, P. bengalensis was the highest (22. 95%) and M. thibetana was the lowest (1. 75%). Furthermore, altitude was the most important factor in determining the occupancy of M. mulatta, Capricornis milneedwardsii, and P. bengalensis. The probability of water in one hundred meters significantly affected the detections of Muntiacus crinifrons, C. milneedwardsii, and P. bengalensis. The present study reveals that altitude and water are essential environmental factors that affect the occupancy and detection probability, respectively. In the future, nature reserve managers could adjust the monitoring and protective strategies according to our results.

Key words: Occupancy model, Spatial distribution, Camera traps, Endangered mammals, Environmental factors

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