Biodiv Sci ›› 2026, Vol. 34 ›› Issue (4): 25443.  DOI: 10.17520/biods.2025443  cstr: 32101.14.biods.2025443

• Original Papers: Plant Diversity • Previous Articles     Next Articles

Disentangling the patterns, components, and influencing factors of forest β diversity in the Xiaoxing’an Mountains, Northeast China

Lijie Zhou1, Minhui Huang1,*()(), Huaijiang He2, Yanxia Cheng1, Chunyu Zhang1(), Xiuhai Zhao1()   

  1. 1 Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing 100083, China
    2 Jilin Provincial Academy of Forestry Sciences, Changchun 130013, China
  • Received:2025-11-06 Accepted:2026-01-04 Online:2026-04-20 Published:2026-05-28
  • Contact: *E-mail: haomh@bjfu.edu.cn
  • Supported by:
    National Key Research & Development Program of China(2023YFF1304003-05);National Natural Science Foundation of China(32201555)

Abstract:

Aims: β diversity reflects the differences in species composition among communities, serving as a key indicator linking local and regional biodiversity while characterizing spatial distribution patterns of species. In this study, using data from a large forest observation network in the Xiaoxing’an Mountains, we disentangled the patterns, components, and influencing factors of forest β diversity, aiming to provide a scientific basis for biodiversity conservation in this region.
Methods: Using the Podani partitioning method, we decomposed β diversity to assess the relative contributions of species replacement and richness difference. We further quantified the local contribution to β diversity (LCBD) and the species contribution to β diversity (SCBD) to identify ecologically unique sites and key species. In addition, regression and variance partitioning analyses were applied to evaluate the relative effects of environmental, spatial and human disturbance factors on community composition, thereby uncovering the ecological mechanisms underlying forest community assembly and biodiversity patterns.
Results: (1) Species replacement was the dominant process driving community dissimilarity across the study area. (2) The SCBD values ranged from 0.002% to 21.918%, with Betula platyphylla contributing the most and Populus suaveolens the least. Species with higher SCBD values largely overlapped with the dominant tree species in the region. (3) LCBD values ranged from 0.537% to 2.677%. Plots with higher species richness exhibited higher LCBD values, with southeastern sites generally having greater LCBD values than those in the northwestern. (4) Climatic factors were identified as the primary drivers of LCBD variation. The interaction between climate, spatial, topographic, and human disturbance variables influenced water availability and habitat heterogeneity, thereby indirectly shaping species spatial distribution patterns.
Conclusion: Our findings reveal the spatial patterns and ecological drivers of forest β diversity in the Xiaoxing’an Mountains, highlight key regions and species essential for maintaining β diversity, and provide scientific evidence for forest ecosystem management and biodiversity conservation in this region.

Key words: β diversity, species replacement, richness difference, biodiversity conservation, environmental filtering, dispersal limitation