WWF Nepal, Baluwatar, Kathmandu, Nepal.
Red Panda Network, Baluwatar, Kathmandu, Nepal.
PLoS One. 2020 Dec 11;15(12):e0243450. doi: 10.1371/journal.pone.0243450. eCollection 2020.
The Himalayan red panda is an endangered mammal endemic to Eastern Himalayan and South Western China. Data deficiency often hinders understanding of their spatial distribution and habitat use, which is critical for species conservation planning. We used sign surveys covering the entire potential red panda habitat over 22,453 km2 along the mid-hills and high mountains encompassing six conservation complexes in Nepal. To estimate red panda distribution using an occupancy framework, we walked 1,451 km along 446 sampled grid cells out of 4,631 grid cells in the wet season of 2016. We used single-species, single-season models to make inferences regarding covariates influencing detection and occupancy. We estimated the probability of detection and occupancy based on model-averaging techniques and drew predictive maps showing site-specific occupancy estimates. We observed red panda in 213 grid cells and found covariates such as elevation, distance to water sources, and bamboo cover influencing the occupancy. Red panda detection probability [Formula: see text] estimated at 0.70 (0.02). We estimated red panda site occupancy (sampled grid cells) and landscape occupancy (across the potential habitat) [Formula: see text] at 0.48 (0.01) and 0.40 (0.02) respectively. The predictive map shows a site-specific variation in the spatial distribution of this arboreal species along the priority red panda conservation complexes. Data on their spatial distribution may serve as a baseline for future studies and are expected to aid in species conservation planning in priority conservation complexes.
喜马拉雅红熊猫是一种濒危的哺乳动物,仅分布于东喜马拉雅山脉和中国西南地区。数据的缺乏往往会阻碍对其空间分布和栖息地利用的了解,而这对于物种保护规划至关重要。我们在尼泊尔的六个保护区内,对整个潜在的红熊猫栖息地进行了标志调查,涵盖了 22453 平方公里的中山区和高山区。为了使用占有框架来估计红熊猫的分布,我们在 2016 年的湿季沿着 446 个采样网格细胞中的 1451 公里进行了行走,这些网格细胞占总网格细胞的 4631 个的 446 个。我们使用单物种、单季节模型,推断影响检测和占有率的协变量。我们基于模型平均技术估计了检测和占有概率,并绘制了预测图,显示了特定地点的占有估计值。我们在 213 个网格细胞中观察到了红熊猫,并发现了一些协变量,如海拔、与水源的距离和竹丛覆盖度,它们影响了占有率。红熊猫的检测概率[公式:见文本]估计为 0.70(0.02)。我们估计红熊猫的地点占有(采样网格细胞)和景观占有(潜在栖息地)[公式:见文本]分别为 0.48(0.01)和 0.40(0.02)。预测图显示了该树栖物种在优先红熊猫保护区内的空间分布的特定地点的变化。关于它们空间分布的数据可以作为未来研究的基准,并有望为优先保护区的物种保护规划提供帮助。