TY - JOUR
T1 - Where and how many? The status of snow leopard (panthera uncia) density surveys and knowledge gaps in China
AU - Liu, Yanjiang
AU - Li, Xueyang
AU - Liang, Xuchang
AU - Liu, Yanlin
AU - Cheng, Chen
AU - Li, Juan
AU - Tang, Piaopiao
AU - Qi, Huiyuan
AU - Bian, Xiaoxing
AU - He, Bing
AU - Xing, Rui
AU - Li, Sheng
AU - Shi, Xiaogang
AU - Yang, Chuangming
AU - Xue, Yadong
AU - Lian, Xinming
AU - Awangjiumei,
AU - Xierannima,
AU - Song, Dazhao
AU - Xiao, Lingyun
AU - Lü, Zhi
N1 - Publisher Copyright:
© 2019, Chinese Academy of Sciences. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The snow leopard (Panthera uncia) is widely distributed across remote and difficult-to-traverseterrains. Thus, the main obstacle to snow leopard research is the lack of baseline data. Here, we retrieved all articles published in either Chinese or English that studied snow leopards in China from 1980 to 2018, and from these we identified 35 papers that reported on the distribution or density of snow leopards in their results sections. Eighteen of these included a density estimation. Additionally, we obtained unpublished snow leopard density survey data from 28 different areas. On this basis, we assessed the status of snow leopard surveys and data-deficient areas in each province. We found that the two areas most lacking data for the snow leopard distribution surveys exist in the West Tianshan Mountains bordering Kyrgyzstan and the Gangdisi-Nyenchenthanglha Mountains and the Himalayas in southern Tibet. Relative to the total area of China’s snow leopard habitat, density surveys still only cover a small fraction of their habitat (1.7%), so these aggregation efforts are far from complete. Finally, because existing density surveys tend to explore relatively good snow leopard habitats, we must continue to expand survey efforts, especially across data-deficient areas.
AB - The snow leopard (Panthera uncia) is widely distributed across remote and difficult-to-traverseterrains. Thus, the main obstacle to snow leopard research is the lack of baseline data. Here, we retrieved all articles published in either Chinese or English that studied snow leopards in China from 1980 to 2018, and from these we identified 35 papers that reported on the distribution or density of snow leopards in their results sections. Eighteen of these included a density estimation. Additionally, we obtained unpublished snow leopard density survey data from 28 different areas. On this basis, we assessed the status of snow leopard surveys and data-deficient areas in each province. We found that the two areas most lacking data for the snow leopard distribution surveys exist in the West Tianshan Mountains bordering Kyrgyzstan and the Gangdisi-Nyenchenthanglha Mountains and the Himalayas in southern Tibet. Relative to the total area of China’s snow leopard habitat, density surveys still only cover a small fraction of their habitat (1.7%), so these aggregation efforts are far from complete. Finally, because existing density surveys tend to explore relatively good snow leopard habitats, we must continue to expand survey efforts, especially across data-deficient areas.
KW - China
KW - Data-deficient areas
KW - Density
KW - Distribution
KW - Snow leopard
UR - http://www.scopus.com/inward/record.url?scp=85079897788&partnerID=8YFLogxK
U2 - 10.17520/biods.2019027
DO - 10.17520/biods.2019027
M3 - Article
AN - SCOPUS:85079897788
SN - 1005-0094
VL - 27
SP - 919
EP - 931
JO - Biodiversity Science
JF - Biodiversity Science
IS - 9
ER -