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Monitoring wildlife abundance and diversity with infra-red camera traps in Guanyinshan Nature Reserve of Shaanxi Province,China
Institution:1. State Key Joint Laboratory of Environment Simulation and Pollution Control, Beijing 100084, China;2. School of Environment, Tsinghua University, Beijing 100084, China;3. College of Biological Sciences, China Agricultural University, Beijing 100193, China;4. Conservation Ecology Center, Smithsonian Conservation Biology Institute, Front Royal, VA 22630, USA;5. Shaanxi Guanyinshan Nature Reserve, Foping County, Shaanxi 723400, China;6. Shaanxi Foping National Nature Reserve, Foping County, Shaanxi 723400, China;1. Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT 84602, USA;2. Monte L. Bean Life Sciences Museum, Brigham Young University, Provo, UT 84602, USA;3. Department of Biology, Brigham Young University-Idaho, Rexburg, ID 83460, USA;4. Southwest Alaska Network, National Park Service, Anchorage, AK 99501, USA;5. Department of Natural Resource Management, South Dakota State University, Brookings, SD 57006, USA;1. Conservation Ecology Center, Smithsonian Conservation Biology Institute, National Zoological Park, 1500 Remount RD, Front Royal, VA 22630, USA;2. School of Life Sciences, Peking University, 5 Yiheyuan RD, Beijing 100871, China;1. China Academy of Transportation Sciences, 240 Huixinli, Chaoyang District, Beijing 100029, China;2. Changbai Mountain Academy of Sciences, Erdaobaihe Town, Antu, Jilin Province 133613, China;1. State Key Joint Laboratory of Environmental Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing 100084, China;2. School of Life Sciences, Northwestern University, Shaanxi 710069, China;3. Foping Nature Reserve, Foping County, Shaanxi 723400, China;4. Changqing Nature Reserve, Hanzhong, Shaanxi 723000, China;5. Guanyinshan Nature Reserve, Foping County, Shaanxi 723400, China
Abstract:Ecological indicators or indices have been widely used to simplify and measure complex ecosystems. It is critical to identify suitable indicators or indices to improve monitoring and understanding of complex natural systems. Camera trapping is an objective technique that can provide a large amount of information on wildlife. The purpose of our study is to explore the effective ecological indices for wildlife diversity analysis and monitoring in Guanyinshan Nature Reserve of Shaanxi Province, China. Since July 2009, a total of 18 cameras were installed in the reserve from August 2009 to July 2011, collecting 2115 photo captures during these 24 months. We developed five abundance indices, including relative abundance index (RAI), monthly relative abundance index (MRAI), time-period relative abundance index (TRAI), night-time relative abundance index (NRAI) and species abundance index (N) to integrate the information derived from captures. Results are: (1) 27 species were detected and 6 species had high RAI values of over 79.3%, including takin (Budorcas taxicolor), common goral (Naemorhedus goral), tufted deer (Elaphodus cephalophus), golden pheasant (Chrysolophus pictus), wild boar (Sus scrofa), and mainland serow (Capricornis sumatraensis). (2) MRAI shows a consistent monthly activity pattern of all animals being active in June and July and inactive in February. (3) TRAIs of the most abundant six species show that takin, tufted deer and common goral have the similar daily activity pattern with one peak at dawn and one peak at dusk. The daily activity patterns of golden pheasant and wild boar show that they are most active during the day time, with wild boar being particularly active at noon. NRAIs of mainland serow show the highest nocturnality and of golden pheasant the lowest nocturnality. (4) We estimated abundance of takin, tufted deer and wild boar by using our developed index. The abundance for the three species shows an increasing trend during the 2-year study period, particularly for wild boar. Our results provided an interesting comparison of species diversity and their activity patterns. As trapping continues we will have a consistent source of monitoring data to evaluate changes in species abundance and activities. Therefore, the conclusion is that the methods we used and the indices we developed are capable to estimate species activity patterns and abundance dynamics which are useful for future wildlife management in Guanyinshan Nature Reserve and elsewhere.
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