Density estimations of the Asiatic black bear: Application of the Random Encounter Model
Density estimations of the Asiatic black bear: Application of the Random Encounter Model
复制标题
亚洲黑熊的密度估计：随机遭遇模型的应用
DOI：
10.1080/00222933.2022.2070441
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发表时间：
2022
影响因子：
0.8
通讯作者：
Yasuaki Niizuma
中科院分区：
文献类型：
--
作者：
Kensuke Miura;Tomoki Mori;Haruna Ogawa;Shota Umano;Haruki Kato;Shigeyuki Izumiyama;Yasuaki Niizuma
由于大型陆生食肉动物的密度较低，很难评估其种群状况。最近采用的相机捕捉技术使我们能够调查动物生态和保护的许多方面，并被广泛用于野生动物种群估计。本研究应用随机相遇模型(REM)估计了2018年5月至10月日本岐阜县白川村亚洲黑熊(Ursus Thibetanus)的密度。我们在研究区域安装了24个传感器摄像头。从2008年到2018年，跟踪了七只全球定位系统(GPS)项圈熊的运动速度。据估计，白川村的熊密度为0.55只/平方公里。为了将REM方法应用于亚洲黑熊，我们建议(1)安装30或40个以上的传感器摄像头，并在夏末(即8月下旬)之前的3周内、冬眠期结束后以及封闭种群易于维持的时候实施REM方法；以及(2)在使用低固定间隔的GPS遥测时，修正目标动物物种移动的距离。
It is difficult to assess the population status of large terrestrial carnivores due to their low density. Recently adopted camera-trap techniques allow us to investigate many aspects of animal ecology and conservation and are widely used in wildlife population estimation. In this study, we applied the random encounter model (REM) to estimate the density of Asiatic black bears (Ursus thibetanus) in Shirakawa Village, Gifu Prefecture, Japan, from May to October 2018. We installed 24 sensor cameras in the study area. Movement speeds of seven global positioning system (GPS)-collared bears were tracked from 2008 to 2018. The population density of bears in Shirakawa Village was estimated to be 0.55 bears/km2. To apply the REM method to Asiatic black bears, we recommend (1) installing more than 30 or 40 sensor cameras and implementing the REM method in a period of 3 weeks before the late summer season (i.e. late August), after the completion of the hibernation period and when a closed population is easily maintained; and (2) correcting the distance moved by the target animal species when using GPS telemetry with a low fixed interval.