Cheng Li
Cheng Li has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Dajiang Li
Forestry Inventory and Planning Institute of Tibet Autonomous Region, Lhasa 850000, China
1 shared publication - Guanglong Wang
Forestry Survey and Planning Research Institute of Xizang Autonomous Region, Lhasa 850000, China
1 shared publication - Kun Jin
Key Laboratory of National Forestry and Grassland Administration on Forest Ecosystem Conservation and Restoration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
1 shared publication - Pu Bu Dun Zhu
Forestry Inventory and Planning Institute of Tibet Autonomous Region, Lhasa 850000, China
1 shared publication - Wulin Liu
Forestry Inventory and Planning Institute of Tibet Autonomous Region, Lhasa 850000, China
1 shared publication - Yuan Wang
Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
1 shared publication
Latest Publications
- Open Access
Morphological, Phaneroptic, Habitat and Population Description of Three Muntjac Species in a Tibetan Nature Reserve
Researchers have proposed a variety of classification schemes for the species in the genus Muntiacus (Artiodactyla: Cervidae) based on morphological, molecular, and other evidence, but disputes remain. The Tibetan Yarlung Zangbo Grand Canyon National Nature Reserve in the Eastern Himalayas is an area with a rich diversity of muntjac species. The habitats of many species overlap in this area, but systematic research in this area is lacking. To clarify the species, population and habitat size of muntjac species in the study area, we used camera-traps to monitor muntjacs in the nature reserve from 2013 to 2021 and described and compared morphological characteristics of the muntjac species. Subsequently, we used the MaxEnt model to simulate the habitats of the muntjac species and the Random Encounter Model to estimate the population density and numbers of muntjacs. Three muntjac species were found in the area, namely Muntiacus vaginalis (n = 7788 ± 3866), Muntiacus gongshanensis (n = 6673 ± 2121), and Muntiacus feae (n = 3142 ± 942). The red muntjac has the largest habitat area, the highest population density, and largest size, followed by Gongshan muntjac and Fea’s muntjac. This study provides basic data for improving the background knowledge of the animal diversity in the Eastern Himalayan biodiversity hotspot, as well as detailed information and references required by wildlife workers for species identification.
Open AccessMorphological, Phaneroptic, Habitat and Population Description of Three Muntjac Species in a Tibetan Nature Reserve
Researchers have proposed a variety of classification schemes for the species in the genus Muntiacus (Artiodactyla: Cervidae) based on morphological, molecular, and other evidence, but disputes remain. The Tibetan Yarlung Zangbo Grand Canyon National Nature Reserve in the Eastern Himalayas is an area with a rich diversity of muntjac species. The habitats of many species overlap in this area, but systematic research in this area is lacking. To clarify the species, population and habitat size of muntjac species in the study area, we used camera-traps to monitor muntjacs in the nature reserve from 2013 to 2021 and described and compared morphological characteristics of the muntjac species. Subsequently, we used the MaxEnt model to simulate the habitats of the muntjac species and the Random Encounter Model to estimate the population density and numbers of muntjacs. Three muntjac species were found in the area, namely Muntiacus vaginalis (n = 7788 ± 3866), Muntiacus gongshanensis (n = 6673 ± 2121), and Muntiacus feae (n = 3142 ± 942). The red muntjac has the largest habitat area, the highest population density, and largest size, followed by Gongshan muntjac and Fea’s muntjac. This study provides basic data for improving the background knowledge of the animal diversity in the Eastern Himalayan biodiversity hotspot, as well as detailed information and references required by wildlife workers for species identification.