Biodiv Sci ›› 2025, Vol. 33 ›› Issue (12): 25265.  DOI: 10.17520/biods.2025265  cstr: 32101.14.biods.2025265

• Original Papers: Animal Diversity • Previous Articles     Next Articles

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

Jinhui Wang1, Baoquan Liu1, Xiao Zhou2, Zi'an 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 A&F 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

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 Muntiacus reevesi, Paguma larvata, Melogale moschata, and Arctonyx collaris, while 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 Muntiacus crinifrons and Capricornis milneedwardsii were concentrated in these regions, whereas Cervus nippon was found only in protected areas of Lin’an. Chun’an supported an ecologically significant population of Prionailurus bengalensis, while Yuhang was characterized by the presence of peri-urban adapted carnivores such as Nyctereutes procyonoides and Meles leucurus. (3) For widely distributed species, elevation emerged as a major factor influencing their distribution in Hangzhou. (4) Systematic spatial prioritization identified a total priority conservation area of 5,068.85 km². Within the top 30% priority zones, 54.3% 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—forms the overwhelming majority 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 City, priority conservation areas