Spatiotemporal Niche Differentiation of Ungulates in the Southwest Mountains, China

Spatiotemporal niche differentiation plays a critical role in facilitating mutual adaptation and sustaining coexistence among sympatric species. We investigated these patterns in sympatric ungulates through an infrared camera trap survey conducted in the Kazila Mountain region of southwestern China from July 2023 to May 2025. A total of seven species were recorded across 54 camera sites, with tufted deer (<i>Elaphodus cephalophus</i>) being the most frequently detected, while forest musk deer (<i>Moschus berezovskii</i>) and Chinese goral (<i>Naemorhedus griseus</i>) were the least. Nocturnality indices (β > 0.54 indicating nocturnal, β < 0.54 indicating diurnal, and β = 0.54 indicating no distinct diel preference) revealed significant differences in activity patterns among the five species. Tufted deer (β = 0.415), alpine musk deer (<i>Moschus chrysogaster</i>) (β = 0.438), and wild boar (<i>Sus scrofa</i>) (β = 0.234) were predominantly diurnal. In contrast, sambar (<i>Rusa unicolor</i>) (β = 0.571) was nocturnal, while the Chinese serow (<i>Capricornis milneedwardsii</i>) (β = 0.534) showed no strong diel preference. Nine of ten species pairs exhibited significant diel rhythm differences, with the exception of sambar-Chinese serow, and these rhythms showed marked seasonal variation, particularly in tufted deer, Chinese serow, and sambar. Temporal overlap was generally higher in the cold season for seven species pairs, suggesting that such overlap may be related to resource availability and increased interspecific competition under harsher conditions. Pianka's overlap index (Oik) (ranging from 0 to 1, where 0 indicates no overlap and 1 indicates complete overlap) was used to assess spatial niche overlap, with values ranging from 0.16 (alpine musk deer-wild boar) to 0.86 (tufted deer-wild boar). Spatial autocorrelation and clustering analysis showed that tufted deer exhibited significant positive spatial autocorrelation, indicating a clustered high-value distribution, while the other species were randomly distributed. Spatial hotspot analysis revealed substantial overlap between tufted deer and wild boar, while the remaining species showed higher levels of spatial segregation. Collectively, these results suggest that seasonal variation in activity patterns, coupled with spatial segregation, mitigates interspecific competition and supports the stable sympatric coexistence of ungulates in this montane ecosystem.

Authors

Institutions

Publication Details

Journal
Animals
Published
2025-12-03
DOI
https://doi.org/10.3390/ani15233490
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal Niche Differentiation of Ungulates in the Southwest Mountains, China

Qingsong Jiang, Liwen Kang, Qiuxian Li, Jianmei Xie et al.
Animals
Wildlife Ecology and Conservation
article

Spatiotemporal Niche Differentiation of Ungulates in the Southwest Mountains, China

Qingsong Jiang, Liwen Kang, Qiuxian Li, Jianmei Xie, Huaqiang Zhou, Yilin Shu, Jinghui Fu, Ying Li, Yan Li, Jing Zhang, Mingsheng Hong, Zejun Zhang, H. Xiao, Assan Meshach
article en

Abstract

Spatiotemporal niche differentiation plays a critical role in facilitating mutual adaptation and sustaining coexistence among sympatric species. We investigated these patterns in sympatric ungulates through an infrared camera trap survey conducted in the Kazila Mountain region of southwestern China from July 2023 to May 2025. A total of seven species were recorded across 54 camera sites, with tufted deer (<i>Elaphodus cephalophus</i>) being the most frequently detected, while forest musk deer (<i>Moschus berezovskii</i>) and Chinese goral (<i>Naemorhedus griseus</i>) were the least. Nocturnality indices (β > 0.54 indicating nocturnal, β < 0.54 indicating diurnal, and β = 0.54 indicating no distinct diel preference) revealed significant differences in activity patterns among the five species. Tufted deer (β = 0.415), alpine musk deer (<i>Moschus chrysogaster</i>) (β = 0.438), and wild boar (<i>Sus scrofa</i>) (β = 0.234) were predominantly diurnal. In contrast, sambar (<i>Rusa unicolor</i>) (β = 0.571) was nocturnal, while the Chinese serow (<i>Capricornis milneedwardsii</i>) (β = 0.534) showed no strong diel preference. Nine of ten species pairs exhibited significant diel rhythm differences, with the exception of sambar-Chinese serow, and these rhythms showed marked seasonal variation, particularly in tufted deer, Chinese serow, and sambar. Temporal overlap was generally higher in the cold season for seven species pairs, suggesting that such overlap may be related to resource availability and increased interspecific competition under harsher conditions. Pianka's overlap index (Oik) (ranging from 0 to 1, where 0 indicates no overlap and 1 indicates complete overlap) was used to assess spatial niche overlap, with values ranging from 0.16 (alpine musk deer-wild boar) to 0.86 (tufted deer-wild boar). Spatial autocorrelation and clustering analysis showed that tufted deer exhibited significant positive spatial autocorrelation, indicating a clustered high-value distribution, while the other species were randomly distributed. Spatial hotspot analysis revealed substantial overlap between tufted deer and wild boar, while the remaining species showed higher levels of spatial segregation. Collectively, these results suggest that seasonal variation in activity patterns, coupled with spatial segregation, mitigates interspecific competition and supports the stable sympatric coexistence of ungulates in this montane ecosystem.

AnimalsVol. 15(23)
China West Normal University (CN), Chengdu Research Base of Giant Panda Breeding (CN), Science and Technology Department of Sichuan Province (CN), Chengdu University of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 63%
Wildlife Ecology and Conservation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.