| Issue |
E3S Web Conf.
Volume 227, 2021
Annual International Scientific Conference on Geoinformatics – GI 2021: “Supporting sustainable development by GIST”
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 10 | |
| Section | GIS for Management in the Field of Environmental Protection | |
| DOI | https://doi.org/10.1051/e3sconf/202122702002 | |
| Published online | 06 January 2021 | |
Investigation of the population area of snow leopard in the Central Tian-Shan Mountains
1
Bishkek State University named after K. Karasaev, 27, Aitmatov street, Bishkek, 720044, Kyrgyzstan
2
Kyrgyz State University of Construction, Transport and Architecture, 34 “b”, Maldybaev street, Bishkek, 720020, Kyrgyzstan
3
Institute of Geology, National Academy of Sciences, 30, Erkindik Ave., Bishkek, 720461, Kyrghyzstan
* Corresponding author: chymyrov@gmail.com
The spatial analysis of population areal of snow leopards in the Central Tian Shan Mountains and monitoring of their population dynamics and reproduction is needed by nature conservation activities. The study area is located in the unique and remote transboundary region between the Kyrgyz Republic, Republic of Kazakhstan and People’s Republic of China. The population areas, feeding base and movement of snow leopards within the Khan Tengri State Nature Park were realized by using camera traps and Geoinformation Systems (GIS). Camera traps have been used for recording the existence and activity of snow leopards in the high mountainous and uninhabited area. 14 adult and 5 snow leopard cubs are detected and recorded within the survey period in 2018-2019 with various individual characteristics of animals. The spatial distribution of snow leopard’s population was mapped and analyzed by applying open source GIS software (Quantum GIS) and satellite positioning.
Key words: snow leopard / GIS / GPS / camera trap / monitoring
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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