Evaluating the Effects of Climate Change on Spatial Aggregation of Giant Pandas and Sympatric Species in a Mountainous Landscape

Bibliographic Details
Title: Evaluating the Effects of Climate Change on Spatial Aggregation of Giant Pandas and Sympatric Species in a Mountainous Landscape
Authors: Naxun Zhao, Ximing Zhang, Guoyu Shan, Xinping Ye
Source: Animals, Vol 11, Iss 11, p 3332 (2021)
Publisher Information: MDPI AG, 2021.
Publication Year: 2021
Collection: LCC:Veterinary medicine
LCC:Zoology
Subject Terms: niche similarity, interspecific competition, spatial overlapping, giant pandas, sympatric species, climate change, Veterinary medicine, SF600-1100, Zoology, QL1-991
More Details: Understanding how climate change alters the spatial aggregation of sympatric species is important for biodiversity conservation. Previous studies usually focused on spatial shifting of species but paid little attention to changes in interspecific competitions under climate change. In this study, we evaluated the potential effects of climate change on the spatial aggregation of giant pandas (Ailuropoda melanoleuca) and three sympatric competitive species (i.e., black bears (Ursus thibetanus), golden takins (Budorcas taxicolor), and wild boars (Sus scrofa)) in the Qinling Mountains, China. We employed an ensemble species distribution modeling (SDM) approach to map the current spatial distributions of giant pandas and sympatric animals and projected them to future climate scenarios in 2050s and 2070s. We then examined the range overlapping and niche similarities of these species under different climate change scenarios. The results showed that the distribution areas of giant pandas and sympatric species would decrease remarkably under future climate changes. The shifting directions of the overlapping between giant pandas and sympatric species vary under different climate change scenarios. In conclusion, future climate change greatly shapes the spatial overlapping pattern of giant pandas and sympatric species in the Qinling Mountains, while interspecific competition would be intensified under both mild and worst-case climate change scenarios.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 11113332
2076-2615
Relation: https://www.mdpi.com/2076-2615/11/11/3332; https://doaj.org/toc/2076-2615
DOI: 10.3390/ani11113332
Access URL: https://doaj.org/article/1075f625590547629ebb4cfbc905b7b3
Accession Number: edsdoj.1075f625590547629ebb4cfbc905b7b3
Database: Directory of Open Access Journals
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More Details
ISSN:11113332
20762615
DOI:10.3390/ani11113332
Published in:Animals
Language:English