生物多样性 ›› 2025, Vol. 33 ›› Issue (12): 25265.  DOI: 10.17520/biods.2025265  cstr: 32101.14.biods.2025265

• 研究报告: 动物多样性 • 上一篇    下一篇

基于红外相机监测的杭州市鸟兽多样性分析与优先保护关键区域评估

汪锦辉1, 刘宝权1, 周晓2, 梁子安2, 孔令伟3, 方卫军4, 孙晗靖5, 金挺浩1, 厉亮6, 何珂7*, 朱振贤1*   

  1. 1. 浙江省森林资源监测中心, 杭州 310020; 2. 浙江省林业勘测规划设计有限公司, 杭州 310020; 3. 杭州市森林和野生动物保护服务中心, 杭州 310016; 4. 淳安县林业局, 杭州 311700; 5. 富阳区林业水利局, 杭州 311400; 6. 临安区林业局, 杭州 311300; 7. 浙江农林大学动物科技学院动物医学院, 杭州 311300
  • 收稿日期:2025-07-10 修回日期:2025-09-22 接受日期:2026-01-06 出版日期:2025-12-20 发布日期:2026-01-09
  • 通讯作者: 何珂, 朱振贤

Analyzing bird and mammal diversity and identifying key protection zones in Hangzhou using infrared camera traps

Jinhui Wang1, Baoquan Liu1, Xiao Zhou2, Zian Liang2, Lingwei Kong3, Weijun Fang4, Jinghan Sun5, Tinghao Jin1*, Liang Li6, Ke He7*, Zhenxian Zhu1*   

  1. 1 Zhejiang Forest Resource Monitoring Center, Hangzhou, 310020, China 

    2 Zhejiang Forestry Survey Planning and Design Company Limited, Hangzhou 310020, China 

    3 Hangzhou Forest and Wildlife Conservation Service Center, Hangzhou 310016, China 

    4 Chun’an County Forestry Bureau, Hangzhou 311700, China 

    5 Fuyang District Forestry and Water Resources Bureau, Hangzhou 311400, China

    6 Lin’an District Forestry Bureau, Hangzhou 311300, China 

    7 College of Animal Science and Technology College of Veterinary Medicine, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China

  • Received:2025-07-10 Revised:2025-09-22 Accepted:2026-01-06 Online:2025-12-20 Published:2026-01-09
  • Contact: Ke He, Zhenxian Zhu

摘要: 了解区域内物种的空间分布格局和种群数量, 是制定科学有效保护策略的关键依据, 城市生物多样性更是城市自然生产力和生态系统稳定的重要基础。本研究基于杭州市全域红外相机监测数据, 系统分析区域内物种的空间分布格局, 利用随机相遇模型估算种群密度, 占域模型评价栖息地利用影响生态因素, Zonation评估杭州市珍稀濒危物种保护优先区。结果显示: (1)共记录到147个物种, 包括兽类7目18科30种, 鸟类11目36科117种, 其中兽类以小麂(Muntiacus reevesi)、花面狸(Paguma larvata)、鼬獾(Melogale moschata)和猪獾(Arctonyx collaris)为优势种, 鸟类则以白鹇(Lophura nycthemera)为优势种。(2)物种多样性空间分布呈现明显异质性, 临安和淳安是重点保护物种的主要分布区, 黑麂(Muntiacus crinifrons)、中华鬣羚(Capricornis milneedwardsii)等珍稀物种集中分布于此, 而梅花鹿(Cervus nippon)仅见于临安的自然保护区内; 淳安发现了具有重要生态意义的豹猫(Prionailurus bengalensis)种群, 余杭区则分布有貉(Nyctereutes procyonoides)和亚洲狗獾(Meles leucurus)等适应城市周边生态系统的食肉目物种。(3)对于广泛分布的物种, 海拔是影响其在杭州市分布的重要因素。(4)针对红外相机监测的小型兽类和地栖性鸟类数据, 系统评估识别出优先区总面积5,068.85 km2, 现有自然保护地的54.33%位于30%优先区内, 保护了目标优先区的20.74%, 主要为国家级保护体系(天目山国家级自然保护区、清凉峰国家级自然保护区和富春江-新安江国家级风景名胜区, 占目标优先区保护体系的94.25%)。在淳安西部和西北部的山区、萧山湘湖、临安岛石和清凉峰镇及桐庐百江镇山区存在保护空缺。这些发现为优化杭州市生物多样性保护网络、完善保护地体系建设提供了科学依据, 特别是对临安和淳安等关键区域的保护管理具有重要指导意义。

关键词: 红外相机, 全域监测, 杭州市, 优先保护关键区域

Abstract

Aims: Understanding the spatial distribution patterns and population dynamics of species within a region is crucial for developing scientifically sound conservation strategies. Urban biodiversity serves as a vital foundation for urban ecosystem productivity and stability, providing diverse ecosystem services. However, rapid urbanization continues to transform natural landscapes and fragment wildlife habitats. As a rapidly developing city, Hangzhou represents an important case for examining urban ecological change, making a thorough assessment of its current biodiversity status particularly meaningful. 

Methods: Based on infrared camera monitoring data covering the entire area of Hangzhou (with a total of 1,224 cameras deployed and 401,600 effective camera-days), we systematically analyzed: (1) spatial distribution patterns of species within the region, with a focus on rare and endangered species; (2) estimated population densities using the random encounter model and evaluated ecological factors influencing habitat use via occupancy modeling; (3) effectiveness of the current conservation system in protecting species; and (4) identification of priority conservation areas for rare species in Hangzhou using the Zonation software. 

Results: The results showed that: (1) A total of 147 species were recorded, comprising 30 mammal species (7 orders, 18 families) and 117 bird species (11 orders, 36 families). The most frequently observed mammals were Reeves’s muntjac (Muntiacus reevesi), masked palm civet (Paguma larvata), Chinese ferret-badger (Melogale moschata), and hog badger (Arctonyx collaris), while the silver pheasant (Lophura nycthemera) was the dominant bird species. (2) Species diversity exhibited pronounced spatial heterogeneity, with Lin’an and Chun’an regions hosting major distribution areas for key protected species. Rare species such as the black muntjac (Muntiacus crinifrons) and Chinese serow (Capricornis milneedwardsii) were concentrated in these regions, whereas the sika deer (Cervus nippon) was found only in protected areas of Lin’an. Chun’an supported an ecologically significant population of leopard cat (Prionailurus bengalensis), while Yuhang was characterized by the presence of peri-urban adapted carnivores such as raccoon dog (Nyctereutes procyonoides) and Asian badger (Meles leucurus). (3) For widely distributed species, elevation emerged as a major factor influencing their distribution in Hangzhou. Among the 16 species analyzed, nine exhibited significant elevational effects. Specifically, elevation played a decisive role in the distribution of Malayan porcupine (Hystrix brachyura), leopard cat, raccoon dog, and silver pheasant, with higher occupancy probabilities observed at higher elevations (P < 0.05). (4) Systematic spatial prioritization identified a total priority conservation area of 5,068.85 km². Within the top 30% priority zones, 54.33% of the existing protected areas are located, conserving 20.74% of the key priority regions. The national-level protection system—comprising Tianmushan National Nature Reserve, Qingliangfeng National Nature Reserve, and Fuchun River–Xin’an River National Scenic Area—contributes 94.25% of the protected areas within these high-priority zones. Significant conservation gaps were identified in the Qianligang Mountains of Chun’an, the Xianghu area in Xiaoshan, Daoshi and Qingliangfeng towns in Lin’an, as well as the mountainous regions of Baijiang town in Tonglu. 

Conclusion: These findings provide a scientific basis for optimizing Hangzhou’s biodiversity conservation network and improving its protected area system, providing critical guidance for conservation management, particularly in key regions such as Lin’an and Chun’an.

Key words: infrared camera, whole region monitoring, Hangzhou, priority conservation areas