Biodiv Sci

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Spatiotemporal coexistence patterns of Capreolus pygargus and Sus scrofa in Pangquangou National Nature Reserve

Lü Zhou1, Shimao Yao1, Zhanhe Zhao2, Hua Guo1, Cheng Tian1*   

  1. 1 College of Forestry, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China 

    2 Administration Bureau of Shanxi Wenyuhe National Wetland Park, Lüliang, Shanxi 030500,

  • Received:2025-08-17 Revised:2026-01-02 Accepted:2026-03-04
  • Contact: Cheng Tian
  • Supported by:
    Study on the spatio-temporal coexistence mechanism of sympatric wildlife in the habitat of brown-eared pheasant(20210302124143)

Abstract:

Aims: This study aims to reveal the daily activity rhythms, spatial distribution, environmental responses, and coexistence patterns of roe deer and wild boars. It seeks to provide a theoretical basis for the protection and management of these species in the nature reserve, while also filling the research gap concerning the spatiotemporal distribution and coexistence patterns between ungulate species in Pangquangou Nature Reserve. 

Methods: Based on the monitoring data collected by 40 infrared cameras deployed in Shanxi Pangquangou National Nature Reserve from August 2023 to November 2024, this study systematically analyzed the spatiotemporal distribution and coexistence patterns of sympatric roe deer (Capreolus pygargus) and wild boars (Sus scrofa) using multiple methods, including ensemble models, kernel density estimation, daily activity difference index α and diurnality index β

Results: (1) A total of 40 infrared cameras operated continuously for a cumulative 15,880 camera-days, capturing 7,116 independently identifiable valid photos, including 2,344 of roe deers and 192 of wild boars. (2) Both species showed a diurnal bimodal activity pattern (roe deer: β = 0.63; wild boars: β = 0.71). The monthly differences in daily activity patterns were not significant (P > 0.05), but there was a significant difference in the overlap of daily activity rhythms (Δ₄ = 0.85; 95% CI: 0.81–0.87; P < 0.05). The morning activity peak of roe deer occurred 1–2 hours later than that of wild boars, while their afternoon activity peaks were nearly synchronous. This temporal shift indicates that the two species reduce interspecific competition through temporal niche differentiation. (3) The ensemble models showed good performance in predicting the distribution of both species (TSS > 0.7, AUC > 0.9). The suitable habitats of both roe deer and wild boars were mainly concentrated in the central part of the reserve. The suitable habitat area for roe deer was 71.64 km², accounting for 67.06% of the total reserve area; the suitable habitat area for wild boars was 59.09 km², accounting for 55.31%. The niche overlap between the two species was high (Schoener’s D = 0.70). (4) The human influence index, normalized difference vegetation index (NDVI), and isothermality were identified as the key factors influencing the distribution of both species. Specifically, the occurrence probability of both Siberian roe deer and wild boars decreased significantly with increasing isothermality, was positively correlated with NDVI, and exhibited a non-linear relationship with the human influence index (initially decreasing before increasing). 

Conclusion: Regarding the temporal niche, although both species exhibited a diurnal bimodal activity patterns with high niche overlap, a significant fine-scale differentiation in peak activity—specifically, the 1–2 hour delay in the morning peak of roe deer—constitutes a key behavioral adaptation to reduce direct competition for critical resources. Spatially, suitable habitats for both species were concentrated in the central reserve, and they demonstrated similar responses to the environmental factors driving their distribution. In conclusion, this study highlights that conservation and management strategies for roe deer and wild boars must prioritize the quality of the central core habitat and address the nonlinear impacts of environmental factors and human activities on species distribution and interspecific relationships.

Key words: Pangquangou National Nature Reserve, activity rhythm, spatiotemporal distribution, coexistence patterns, ensemble model