Back to Search Start Over

Assessment of Changes in the Composition and Distribution of Large and Medium‐Sized Mammals in Xishuangbanna, Southwest China

Authors :
Hui Cao
Rui‐Chang Quan
Yang Bai
Ruchuan He
Ying Geng
Ying Liu
Jiabin Li
Lin Wang
Source :
Ecology and Evolution, Vol 14, Iss 11, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

ABSTRACT Given the vulnerability of large and medium‐sized mammal communities to climate change and human disturbances, understanding the spatial–temporal dynamics of these communities is essential for effective conservation planning. However, in many biodiversity hotspots, precise biological community assessments are insufficient. From 2012 to 2022, we deployed 784 camera traps in eight nature reserves (including sub‐reserves) and one State Forest Farm (SFF, less strictly protected than a reserve) to study the composition and distribution of large and medium‐sized mammals in tropical Xishuangbanna. The findings revealed the following: (1) Forty‐three species, encompassing six orders, 17 families, and 37 genera, were documented. Among the species in historical data, nine species were not detected in this survey. (2) Smaller and more fragmented reserves lacked larger body‐sized predators and herbivores, and most common species showed lower relative population abundance. Conversely, the SFF exhibited high mammal diversity. (3) The community composition of large and medium‐sized mammals varied significantly across the nine sites, particularly among threatened species. Our findings highlight the uneven distribution of these mammal communities in Xishuangbanna, with rare and large‐sized species facing increased vulnerability to rapid environmental changes. Moreover, the findings demonstrate the importance of considering species specificity and uniqueness in conservation planning for maintaining regional‐scale biodiversity.

Details

Language :
English
ISSN :
20457758
Volume :
14
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Ecology and Evolution
Publication Type :
Academic Journal
Accession number :
edsdoj.9787dab7b063471f98160b3963fe4104
Document Type :
article
Full Text :
https://doi.org/10.1002/ece3.70432