Climate Change and Biotic Interactions Will Change the Distributions of Ungulates on the Qinghai–Tibet Plateau

Species interactions are crucial for understanding how species will respond to future climate change. Incorporating interspecific relationships into mammalian distribution prediction models will significantly impact model outcomes, especially those for animals on the Qinghai-Tibet Plateau (QTP). Thus, we incorporated interspecific relationships into species distribution models to assess and predict the future distributions of five ungulates, including the Red deer (<i>Cervus elaphus</i>), the Kiang (<i>Equus kiang</i>), the Tibetan gazelle (<i>Procapra picticaudata</i>), the Tibetan antelope (<i>Pantholops hodgsonii</i>), and the Bharal (<i>Pseudois nayaur</i>). We found that (1) the suitable habitats of these five ungulates were all predicted to increase between the present and 2050; (2) the suitable distribution areas of four of these ungulates were predicted to be smaller when interspecific relationships were incorporated into the models, with the exception of the Red deer, whose suitable habitat was estimated to be larger; and (3) the centroids of suitable habitat for the five ungulates were predicted to shift to the southern part of the QTP by 2050. Our results demonstrated that interspecific relationships could influence predictions of species distributions, and thus incorporating interspecific relationships will facilitate better assessments and predictions of the future distributions of species.

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Publication Details

Journal
Animals
Published
2026-01-08
DOI
https://doi.org/10.3390/ani16020183
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
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article

Climate Change and Biotic Interactions Will Change the Distributions of Ungulates on the Qinghai–Tibet Plateau

Feng Liu, Yuan Wang, Tong Zhang, Keji Guo et al.
Animals
Species Distribution and Climate Change
article

Climate Change and Biotic Interactions Will Change the Distributions of Ungulates on the Qinghai–Tibet Plateau

Feng Liu, Yuan Wang, Tong Zhang, Keji Guo, Xumao Zhao, Yonglei Lv, Zhiguo Li, Yikai Wang, Nanfei Wu, Zijun Tang, Guanglong Wang, Fu Shu, Guangwei Tang
article en

Abstract

Species interactions are crucial for understanding how species will respond to future climate change. Incorporating interspecific relationships into mammalian distribution prediction models will significantly impact model outcomes, especially those for animals on the Qinghai-Tibet Plateau (QTP). Thus, we incorporated interspecific relationships into species distribution models to assess and predict the future distributions of five ungulates, including the Red deer (<i>Cervus elaphus</i>), the Kiang (<i>Equus kiang</i>), the Tibetan gazelle (<i>Procapra picticaudata</i>), the Tibetan antelope (<i>Pantholops hodgsonii</i>), and the Bharal (<i>Pseudois nayaur</i>). We found that (1) the suitable habitats of these five ungulates were all predicted to increase between the present and 2050; (2) the suitable distribution areas of four of these ungulates were predicted to be smaller when interspecific relationships were incorporated into the models, with the exception of the Red deer, whose suitable habitat was estimated to be larger; and (3) the centroids of suitable habitat for the five ungulates were predicted to shift to the southern part of the QTP by 2050. Our results demonstrated that interspecific relationships could influence predictions of species distributions, and thus incorporating interspecific relationships will facilitate better assessments and predictions of the future distributions of species.

AnimalsVol. 16(2)
Central South University of Forestry and Technology (CN), Central South University (CN), Hunan Normal University (CN), Chinese Academy of Sciences (CN), Changsha Normal University (CN), State Forestry and Grassland Administration (CN), Jiangxi Province Forestry Survey Planning Institute (CN), University of Chinese Academy of Sciences (CN), Institute of Zoology (CN), Lanzhou University (CN)
Yale University, Lanzhou University, National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 89%
Species Distribution and Climate Change
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