Biodiv Sci ›› 2024, Vol. 32 ›› Issue (5): 23497.  DOI: 10.17520/biods.2023497

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The application and outlook of wildlife tracking using sensor-based tags in China

Binyue Lu1,#(), Kun Li1,#(), Chenxi Wang2(), Sheng Li1,*()()   

  1. 1 School of Life Sciences, Peking University, Beijing 100871
    2 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101
  • Received:2023-12-27 Accepted:2024-03-10 Online:2024-05-20 Published:2024-03-28
  • Contact: E-mail: shengli@pku.edu.cn
  • About author:

    #Co-first authors

Abstract:

Aims: The tagging, positioning, and tracking of animals are crucial approaches to the study of their spatial movements. In China, the application of sensor-based wildlife tracking technologies for free-ranging animals has gained significant traction since the 1980s. These technologies have been widely employed in studies related to wildlife behavior and ecology. To provide a comprehensive overview of the current status of wildlife tracking technologies in China and offer insights into the future, we conducted this review based on comprehensive literature research.

Methods: We systematically searched academic articles on wildlife tracking studies conducted in China from 1970 to 2022. We compiled information of each study, including the type of sensor and tracking technologies used, the taxonomic group of tracked animals, the research field, and the location of study sites.

Results: We collected 519 relevant articles published between 1970 and 2022, encompassing 185 species belonging to 7 classes and 32 orders. The study sites encompassed 34 provinces (including municipalities, autonomous regions, and special administrative regions) in China. We identified four hotspots of tracking studies within the country: the eastern edge of the Qinghai-Tibet Plateau and surrounding mountainous areas, the middle and lower reaches of the Yangtze River, the coastal areas from East to South China, and the Northeast China region. Five senor-based tracking technologies were identified in these studies: radio telemetry (RT) (accounting for 47.7% of the total researches), radio frequency identification (RFID) (3.2%), light-level global geolocator sensor (GLS) (0.6%), satellite tracking based on the Argos Satellite System (ASS) (9.3%) or Global Navigation Satellite System (GNSS) (39.3%). Among these technologies, VHF radio telemetry has had a longer history and more applications in China; ASS and GNSS technologies have been introduced late but have undergone rapid growth, with GNSS emerging as the most widely applied technology in the past 5 years. Radio telemetry is predominantly employed for large- and medium-sized mammals, small mammals, terrestrial birds, amphibians and reptiles. GNSS technology is mainly applied in tracking swimming and wading birds. ASS technology is primarily used in fish studies, while RFID technology is prevalent in tracking invertebrate. The choice of technology varies across different research fields, with GNSS and ASS satellite tracking being the primary technology used in migration studies.

Conclusions: The application scale of sensor-based wildlife tracking technologies in China is experiencing rapid expansion, resulting in a rapid increase of numbers of tagged animals and accumulated data. In the future, wildlife tracking studies in China should put emphases on: (1) deepening the research to examine the underlying ecological mechanisms and broadening the research scales, (2) facilitating interdisciplinary collaboration and fostering technological innovation, (3) advocating for and promoting data sharing and fostering multilateral cooperation, and (4) continuing to advance the development and improvement of domestic tracking equipment and technologies. This will provide reliable scientific supports for wildlife ecology research and resource conservation and management in China.

Key words: animal tracking, radio telemetry, satellite tracking, wildlife monitoring, movement ecology