Capture history of Asiatic black bear from Himachal Pradesh, India

Robust population estimation of rare or elusive threatened species lacking distinct identifiable features poses a challenge in the field of conservation and management. The Asiatic black bear (Ursus thibetanus) is one such species. Methodological frameworks—such as radiotelemetry, genetic sampling, and camera-trapping—though crucial and advantageous, sometimes require additional information through invasive methods for individual identification. In this study, we estimated the population density of Asiatic black bear in 2 protected areas in the Indian Himalayan Region without information on individual identification. We conducted the study through a spatial capture–recapture framework using camera traps in the summer during May–July 2018 in Daranghati Wildlife Sanctuary (WLS) and May–July 2019 in Rupi Bhaba WLS. Using the recently developed Spatial Presence–Absence model, we estimated g0 (detection probability), σ (scale or movement parameter related to home range of the species), and N...对于缺乏明显可识别特征的稀有、隐蔽受威胁物种开展可靠的种群数量估算，是保护与管理领域面临的核心难题。亚洲黑熊（Asiatic black bear，Ursus thibetanus）正是这类物种之一。现有研究方法框架（如无线电遥测、遗传采样与相机诱捕）虽至关重要且优势显著，但有时需通过侵入性手段获取个体识别所需的额外信息。本研究无需依赖个体识别相关信息，对印度喜马拉雅地区两处保护地内的亚洲黑熊种群密度进行了估算。本次研究于2018年5月至7月（夏季）在达朗哈蒂野生动物保护区（Daranghati Wildlife Sanctuary，简称WLS），以及2019年5月至7月（夏季）在鲁皮巴哈野生动物保护区（Rupi Bhaba WLS）开展，采用基于相机诱捕的空间捕获-再捕获（spatial capture-recapture）分析框架。本研究借助新近开发的空间存在-缺失模型（Spatial Presence–Absence model），估算了g0（检测概率）、σ（与该物种家域相关的尺度或运动参数）以及N……