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Spatiotemporal patterns of anuran functional diversity in temperate montane forests

Zi-Jian Sun Wei Zhu Wen-Bo Zhu Chun-Lin Zhao Chun-Lin Liao Bei Zou Dan Xu Wen-Bo Fan Sheng-Qi Su Jian-Ping Jiang Tian Zhao

Zi-Jian Sun, Wei Zhu, Wen-Bo Zhu, Chun-Lin Zhao, Chun-Lin Liao, Bei Zou, Dan Xu, Wen-Bo Fan, Sheng-Qi Su, Jian-Ping Jiang, Tian Zhao. Spatiotemporal patterns of anuran functional diversity in temperate montane forests. Zoological Research, 2021, 42(4): 412-416. doi: 10.24272/j.issn.2095-8137.2020.341
Citation: Zi-Jian Sun, Wei Zhu, Wen-Bo Zhu, Chun-Lin Zhao, Chun-Lin Liao, Bei Zou, Dan Xu, Wen-Bo Fan, Sheng-Qi Su, Jian-Ping Jiang, Tian Zhao. Spatiotemporal patterns of anuran functional diversity in temperate montane forests. Zoological Research, 2021, 42(4): 412-416. doi: 10.24272/j.issn.2095-8137.2020.341

温带山地森林的无尾两栖类功能多样性时空格局研究

doi: 10.24272/j.issn.2095-8137.2020.341

Spatiotemporal patterns of anuran functional diversity in temperate montane forests

Funds: This study was supported by the National Natural Science Foundation of China (31700353), Biodiversity Survey and Assessment Project of the Ministry of Ecology and Environment, China (2019HJ2096001006), and China Biodiversity Observation Networks (Sino BON)
More Information
  • 摘要: 解析生物多样性的时空分布格局对了解物种共存和群落构建机制有重要作用。功能多样性是生物多样性的重要组成部分,因为其能更为综合的反映生物多样性在时间和空间尺度上的变动。该研究以湖南省桑植县天平山为研究区域,探究了山地森林中无尾两栖类功能多样性的时空(季节与海拔)格局及其环境决定因子。具体来说,我们从低海拔到高海拔(300-1492 m)设置了10条样线,于2017年4月(春季)、6月(初夏)、8月(盛夏)和10月(秋季)对样线内的无尾两栖类和微生境环境因子分别进行了野外调查,并计算了每一条样线无尾两栖类在不同季节的四个功能多样性指数。结果表明,在空间尺度上,功能丰富度和海拔之间存在显著的倒钟形响应,功能均匀度和海拔之间存在显著的驼峰形响应,功能趋异度和功能特化度随着海拔的增加呈现出显著上升的趋势。而在时间尺度上,四个功能多样性指数在不同季节不存在显著差异。此外,我们还发现每个功能多样性指数都由不同的微生境环境因子所决定,如凋落叶覆盖率、水体温度、树木数量和电导率等。总体而言,该研究揭示了温带山地森林生态系统中无尾类两栖类独特的功能多样性格局,为了解两栖动物功能多样性格局的普适性提供了参考。更为重要的是,该研究还强调了微生境环境特征对维持两栖动物多样性的重要作用。未来的研究可以进一步探讨两栖动物功能多样性格局对食物网和生态系统功能的影响。
    #Authors contributed equally to this work
  • Figure  1.  Spatiotemporal patterns of anuran functional diversity in temperate montane forests

    A: Relationships between anuran functional diversity indices and elevations on Tianping Mountain; B: Hierarchical partitioning showing independent contribution of selected environmental variables to variation in different functional diversity indices. Abbreviations of microhabitat variables are: WT: Water temperature; TN: Number of trees; CC: Canopy cover; SC: Shrub cover; LLC: Leaf litter cover; LLD: Leaf litter depth; WCON: Water conductivity.

    Table  1.   Models used to test responses of anuran functional diversity indices to elevational gradient

    Response variableSource of variationdfEstimate (SE)tPR2
    FRicElevation7−0.003 (0.001)−2.6690.0320.57
    Elevation27<0.001 (<0.001)2.7930.027
    Intercept71.403 (0.001)3.0200.019
    FEveElevation70.003 (0.18)2.7130.0300.54
    Elevation27<0.001 (<0.001)−2.6140.035
    Intercept7−0.729 (0.379)−1.9090.098
    FDivElevation8<0.001 (<0.001)2.5760.0330.45
    Intercept80.691 (0.063)10.949< 0.001
    FSpeElevation8<0.001 (<0.001)4.3450.0020.70
    Intercept80.146 (0.050)2.8940.020
    FRic: Functional richness; FEve: Functional evenness; FDiv: Functional divergence; FSpe: Functional specialization. Elevation and Elevation2 indicate linear and quadratic terms in regression models, respectively. Significant effects are indicated in bold.
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出版历程
  • 收稿日期:  2021-03-12
  • 录用日期:  2021-04-19
  • 网络出版日期:  2021-05-08
  • 刊出日期:  2021-07-18

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