Patterns of diversity change for forest vegetation across different climatic regions - A compound habitat gradient analysis approach
Patterns of diversity change for forest vegetation across different climatic regions - A compound habitat gradient analysis approach
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不同气候区森林植被多样性变化模式——复合生境梯度分析方法
DOI：
10.1016/j.gecco.2020.e01106
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发表时间：
2020-09
影响因子：
4
通讯作者：
Zang Runguo
中科院分区：
文献类型：
--
作者：
Yao Liangjing;Ding Yi;Xu Han;Deng Fuying;Yao Lan;Ai Xunru;Zang Runguo
生态群落的生物多样性可以由气候、土壤和生物因素的混合驱动，从地方到区域尺度。多样性的变化模式通常是沿纬度或海拔梯度进行的，主要是由气候因子驱动的。然而，很少有研究同时评估生物和非生物梯度的生物多样性格局。在中国热带、亚热带、暖温带和温带4个气候区，建立了309个典型森林植被类型（热带雨林、亚热带常绿落叶阔叶混交林、暖温带针叶林和温带针叶林）的森林动态样地。对这些样地801种46,280株树木进行了标记、调查和制图，对6个功能性状和7个土壤因子进行了采样和测量，并从Worldclim中提取了3个气候因子数据。采用主成分分析（PCA）建立了生物因子与非生物因子的复合生境梯度（CHG）。分析了沿CHG的物种和功能多样性的变化规律。结果表明：沿CHG第1轴，物种丰富度、Shannon-Wiener指数和功能丰富度呈上升趋势，功能分化度呈下降趋势；采用CHG前4个主成分轴的模型和采用个体变量的模型对物种多样性的解释力大于功能多样性。PC1是解释多样性变异模式最重要的预测因子。在复合生境梯度中，FRic和FDiv的零模型与PC1呈显著负相关，与其他轴呈显著负相关。研究表明，复合生境梯度分析是探索不同气候区域生物多样性变化规律和理解驱动群落聚集的生物和非生物因素的有效方法。
Biotic diversity of ecological communities can be driven by a mixture of climatic, soil and biotic factors from local to regional scales. Patterns of diversity change were often examined along latitudinal or elevational gradients, which were mainly driven by climatic factors. However, few studies have assessed biodiversity patterns along both abiotic and biotic gradients simultaneously. Here, we established 309 forest dynamics plots of typical forest vegetation types (tropical rainforest, subtropical evergreen deciduous broad-leaf mixed forest, warm temperate conifer broad-leaf mixed forest, and temperate conifer forest) in seven biogeographic regions across four climatic regions (tropical, subtropical, warm temperate, and temperate regions) in China. A total of 46,280 tree individuals of 801 species in these plots were tagged, investigated and mapped, and six functional traits and seven soil factors were sampled and measured, in addition, data on three climatic factors were extracted from Worldclim. Principal component analysis (PCA) was used to build the compound habitat gradient (CHG) combining the biotic and abiotic factors. Patterns of changes in species and functional diversity along the CHG were analyzed. Results showed that species richness, Shannon-Wiener index and functional richness (FRic) increased but functional divergence (FDiv) decreased along the first axis of the CHG. The models using the first four PCA axes of the CHG and models with the individual variables had more power to explain species diversity than functional diversity. PC1 was the most important predictor in explaining patterns of diversity variation. The null models of FRic and FDiv were significantly negatively correlated with PC1 in the compound habitat gradient, and not with other axes. Our study demonstrates that the compound habitat gradient analysis is an effective approach of exploring patterns of biodiversity change and understanding both the abiotic and biotic factors driving community assembly across different climatic regions.
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影响因子：
5.5
作者：
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通讯作者：
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作者：
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