Volume 45 Issue 1
Jan.  2024
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Jian-Chao Liang, Zhi-Feng Ding, Chun-Lin Li, Yi-Ming Hu, Zhi-Xin Zhou, Gan-Wen Lie, Xiao-Nan Niu, Wen-Bin Huang, Hui-Jian Hu, Xing-Feng Si. Patterns and drivers of avian taxonomic and phylogenetic beta diversity in China vary across geographical backgrounds and dispersal abilities. Zoological Research, 2024, 45(1): 125-135. doi: 10.24272/j.issn.2095-8137.2023.076
Citation: Jian-Chao Liang, Zhi-Feng Ding, Chun-Lin Li, Yi-Ming Hu, Zhi-Xin Zhou, Gan-Wen Lie, Xiao-Nan Niu, Wen-Bin Huang, Hui-Jian Hu, Xing-Feng Si. Patterns and drivers of avian taxonomic and phylogenetic beta diversity in China vary across geographical backgrounds and dispersal abilities. Zoological Research, 2024, 45(1): 125-135. doi: 10.24272/j.issn.2095-8137.2023.076

Patterns and drivers of avian taxonomic and phylogenetic beta diversity in China vary across geographical backgrounds and dispersal abilities

doi: 10.24272/j.issn.2095-8137.2023.076
The raw data for this work are available at the Dryad Digital Repository (https://datadryad.org/stash/share/c7HFZCksSI6hQLDsaTVqFJvNjTHMuZRC6DDXXDTEhKk).
Supplementary data to this article can be found online.
The authors declare that they have no competing interests.
J.C.L. conceived and designed the study with the help of Z.F.D.; J.C.L., G.W.L., X.N.N., and W.B.H. collected and compiled the data; J.C.L., Y.M.H., and Z.X.Z. analyzed the data; J.C.L. led the writing, which Z.F.D. revised; H.J.H., X.F.S., and C.L.L reviewed the manuscript. All authors read and approved the final version of the manuscript.
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Funds:  This work was supported by the National Natural Science Foundation of China (31901220), Science and Technology Planning Project of Guangdong Province, China (2019B121202004), Guangdong Basic and Applied Basic Research Foundation (2021A1515110744), and Forestry Administration of Guangdong Province (DFGP Project of Fauna of Guangdong-202115).
More Information
  • Geographical background and dispersal ability may strongly influence assemblage dissimilarity; however, these aspects have generally been overlooked in previous large-scale beta diversity studies. Here, we examined whether the patterns and drivers of taxonomic beta diversity (TBD) and phylogenetic beta diversity (PBD) of breeding birds in China vary across (1) regions on both sides of the Hu Line, which demarcates China’s topographical, climatic, economic, and social patterns, and (2) species with different dispersal ability. TBD and PBD were calculated and partitioned into turnover and nestedness components using a moving window approach. Variables representing climate, habitat heterogeneity, and habitat quality were employed to evaluate the effects of environmental filtering. Spatial distance was considered to assess the impact of dispersal limitation. Variance partitioning analysis was applied to assess the relative roles of these variables. In general, the values of TBD and PBD were high in mountainous areas and were largely determined by environmental filtering. However, different dominant environmental filters on either side of the Hu Line led to divergent beta diversity patterns. Specifically, climate-driven species turnover and habitat heterogeneity-related species nestedness dominated the regions east and west of the line, respectively. Additionally, bird species with stronger dispersal ability were more susceptible to environmental filtering, resulting in more homogeneous assemblages. Our results indicated that regions with distinctive geographical backgrounds may present different ecological factors that lead to divergent assemblage dissimilarity patterns, and dispersal ability determines the response of assemblages to these ecological factors. Identifying a single universal explanation for the observed pattern without considering these aspects may lead to simplistic or incomplete conclusions. Consequently, a comprehensive understanding of large-scale beta diversity patterns and effective planning of conservation strategies necessitate the consideration of both geographical background and species dispersal ability.
  • The raw data for this work are available at the Dryad Digital Repository (https://datadryad.org/stash/share/c7HFZCksSI6hQLDsaTVqFJvNjTHMuZRC6DDXXDTEhKk).
    Supplementary data to this article can be found online.
    The authors declare that they have no competing interests.
    J.C.L. conceived and designed the study with the help of Z.F.D.; J.C.L., G.W.L., X.N.N., and W.B.H. collected and compiled the data; J.C.L., Y.M.H., and Z.X.Z. analyzed the data; J.C.L. led the writing, which Z.F.D. revised; H.J.H., X.F.S., and C.L.L reviewed the manuscript. All authors read and approved the final version of the manuscript.
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