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Keywords = Qilian Mountain National Park (Qinghai area)

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12 pages, 5379 KiB  
Article
Snow Leopard (Panthera uncia) Activity Patterns Using Camera Traps in the Qilian Mountain National Park (Qinghai Area), China
by Hu Ma, Bading Qiuying, Zhanlei Rong, Jinhu Zhang, Guozhu Liang, Shuguang Ma, Yayue Gao and Shengyun Chen
Animals 2024, 14(18), 2680; https://doi.org/10.3390/ani14182680 - 14 Sep 2024
Cited by 1 | Viewed by 1977
Abstract
In recent years, there has been growing concern about the condition of snow leopards. The snow leopard (Panthera uncia), an apex predator of alpine ecosystems, is essential for the structural and functional stability of ecosystems. Monitoring of snow leopards’ activity patterns [...] Read more.
In recent years, there has been growing concern about the condition of snow leopards. The snow leopard (Panthera uncia), an apex predator of alpine ecosystems, is essential for the structural and functional stability of ecosystems. Monitoring of snow leopards’ activity patterns based on camera traps in the Qilian Mountain National Park (Qinghai area) between August 2020 to October 2023 was performed. The results showed that autumn is the peak period of snow leopard activity, especially in September when the frequency of activity is the highest, and there is one peak in the frequency of snow leopard daily activity in the time period of 18:00–22:00, while the highest overlap of the daily activity curves of snow leopards in different months was from spring to autumn (Δ = 0.97), and there were significant differences in diurnal activity rhythm between spring and autumn (p = 0.002). Snow leopards prefer sunny days, and they tend to be active at temperatures of −10–9 °C. Our research aimed to uncover the activity patterns of snow leopards at different scales within the study area and provide data for further studies on snow leopards and other wildlife by researchers. This study can be used to gain a comprehensive understanding of the ecological characteristics of snow leopards and to assess their habitats, and it will also serve as a reference for the local wildlife management authorities in formulating snow leopard conservation measures. Full article
(This article belongs to the Special Issue Ecology and Conservation of Large Carnivores)
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22 pages, 2563 KiB  
Article
Study on Terrestrial Wild Vertebrate Diversity and Geographical Fauna in Qinghai Area of Qilian Mountain National Park, China
by Shiyu Xu, Zhanlei Rong, Hu Ma, Jiaan Xie and Fang Wang
Sustainability 2022, 14(24), 16452; https://doi.org/10.3390/su142416452 - 8 Dec 2022
Cited by 4 | Viewed by 1949
Abstract
To gain an in-depth understanding of the resource status of terrestrial wild vertebrates in the Qinghai Area of Qilian Mountain National Park, a total of 10 field surveys were conducted in the reserve from May 2019 to May 2022, and the diversity and [...] Read more.
To gain an in-depth understanding of the resource status of terrestrial wild vertebrates in the Qinghai Area of Qilian Mountain National Park, a total of 10 field surveys were conducted in the reserve from May 2019 to May 2022, and the diversity and geographical fauna of terrestrial wild vertebrates in the study area were studied combined with literature. The results show that in the Qinghai Area of the Qilian Mountain National Park, there are 265 species of terrestrial vertebrates in 4 classes, 30 orders, 71 families and 167 genera. Among them, Amphibia has 1 order, 2 families, 2 genera and 3 species; Reptilia has 2 orders, 4 families, 5 genera and 5 species; Aves has 21 orders, 51 families, 131 genera and 214 species; Mammalia has 6 orders, 15 families, 29 genera and 43 species. The composition of terrestrial wild vertebrate species in the study area shows that Aves account for 80.75%, Mammalia account for 16.23%; Reptilia account for 1.89% and Amphibia account for only 1.13%. The geographical fauna is dominated by Cosmopolitan species (218), followed by Palaearctic species (48) and a few Oriental species (3). Data from the G-F analysis shows that birds are more diverse at both family and genus levels, followed by mammals, with amphibians lower and reptiles lowest. Full article
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15 pages, 5824 KiB  
Article
Mapping and Evaluating Human Pressure Changes in the Qilian Mountains
by Quntao Duan, Lihui Luo, Wenzhi Zhao, Yanli Zhuang and Fang Liu
Remote Sens. 2021, 13(12), 2400; https://doi.org/10.3390/rs13122400 - 19 Jun 2021
Cited by 37 | Viewed by 4865
Abstract
Human activities have dramatically changed ecosystems. As an irreplaceable ecological barrier in western China, the Qilian Mountains (QLM) provide various ecosystem services for humans. To evaluate the changes in the intensity of human activities in the QLM and their impact on the ecosystem, [...] Read more.
Human activities have dramatically changed ecosystems. As an irreplaceable ecological barrier in western China, the Qilian Mountains (QLM) provide various ecosystem services for humans. To evaluate the changes in the intensity of human activities in the QLM and their impact on the ecosystem, the human footprint (HF) method was used to conduct a spatial dataset of human activity intensity. In our study, the NDVI was used to characterize the growth of vegetation, and six categories of human pressures were employed to create the HF map in the QLM for 2000–2015 at a 1-km scale. The results showed that the mean NDVI during the growing season showed a significant increasing trend over the entire QLM in the period 2000–2015, while the NDVI showed a significant declining trend of more than 70% concentrated in Qinghai. Human pressure throughout the QLM occurred at a low level during 2000–2015, being greater in the eastern region than the western region, while the Qinghai area had greater human pressure than the Gansu area. Due to the improvement in traffic facilities, tourism, overgrazing, and other illegal activities, grasslands, shrublands, forests, wetlands, and bare land were the vegetation types most affected by human activities (in decreasing order). As the core area of the QLM, the Qilian Mountains National Nature Reserve (NR) has effectively reduced the impact of human activities. However, due to the existence of many ecological historical debts caused by unreasonable management in the past, the national park established in 2017 is facing great challenges to achieve its goals. These data and results will provide reference and guidance for future protection and restoration of the QLM ecosystem. Full article
(This article belongs to the Section Environmental Remote Sensing)
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