Singh Paras Bikram, Saud Pradip, Cram Douglas, Mainali Kumar, Thapa Arjun, Chhetri Nar Bahadur, Poudyal Laxman Prasad, Baral Hem Sagar, Jiang Zhigang
Key Laboratory of Animal Ecology and Conservation Biology Institute of Zoology Chinese Academy of Sciences Beijing China.
University of Chinese Academy of Science Beijing China.
Ecol Evol. 2018 Nov 24;9(1):4-18. doi: 10.1002/ece3.4435. eCollection 2019 Jan.
Himalayan musk deer (; hereafter musk deer) are endangered as a result of poaching and habitat loss. The species is nocturnal, crepuscular, and elusive, making direct observation of habitat use and behavior difficult. However, musk deer establish and repeatedly use the same latrines for defecation. To quantify musk deer habitat correlates, we used observational spatial data based on presence-absence of musk deer latrines, as well as a range of fine spatial-scale ecological covariates. To determine presence-absence of musk deer, we exhaustively searched randomly selected forest trails using a 20-m belt transect in different study sites within the Neshyang Valley in the Annapurna Conservation Area. In a subsequent way, study sites were classified as habitat or nonhabitat for musk deer. A total of 252 plots, 20 × 20 m, were systematically established every 100 m along 51 transects (each ~0.5 km long) laid out at different elevations to record a range of ecological habitat variables. We used mixed-effect models and principal component analysis to characterize relationships between deer presence-absence data and habitat variables. We confirmed musk deer use latrines in forests located at higher elevations (3,200-4,200 m) throughout multiple seasons and years. Himalayan birch () dominated forest, mixed Himalayan fir (), and birch forest were preferred over pure Himalayan fir and blue pine () forest. Greater crown cover and shrub diversity were associated with the presence of musk deer whereas tree height, diameter, and diversity were weakly correlated. Topographical attributes including aspect, elevation, distance to water source, and slope were also discriminated by musk deer. Over- and understory forest management can be used to protect forests likely to have musk deer as predicted by the models to ensure long-term conservation of this rare deer.
喜马拉雅麝(以下简称麝)因偷猎和栖息地丧失而濒危。该物种夜间或晨昏活动,行踪隐秘,难以直接观察其栖息地利用情况和行为。然而,麝会建立并反复使用同一处排便场所。为了量化麝栖息地的相关因素,我们使用了基于麝排便场所存在与否的观测空间数据,以及一系列精细空间尺度的生态协变量。为了确定麝的存在与否,我们在安纳布尔纳保护区内奈香谷不同研究地点,沿着随机选择的森林小径,使用20米宽的带状样带进行了详尽搜索。随后,研究地点被划分为麝的栖息地或非栖息地。沿着分布在不同海拔的51条样带(每条样带约0.5公里长),每隔100米系统地设置了总共252个20×20米的样地,以记录一系列生态栖息地变量。我们使用混合效应模型和主成分分析来描述麝存在与否的数据与栖息地变量之间的关系。我们证实,麝在多个季节和年份里都在海拔较高(3200 - 4200米)的森林中使用排便场所。喜马拉雅桦占优势的森林、喜马拉雅冷杉与桦树的混交林,比纯喜马拉雅冷杉林和蓝松林更受麝青睐。更大的树冠覆盖度和灌木多样性与麝的存在相关,而树高、直径和多样性与之相关性较弱。麝对包括坡向、海拔、距水源距离和坡度在内的地形属性也有区分。可以采用林冠层和林下植被的管理措施来保护模型预测的可能有麝的森林,以确保对这种珍稀鹿类的长期保护。