Inferring community assembly processes from trait diversity across environmental gradients

Inferring community assembly processes from trait diversity across environmental gradients
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从跨环境梯度的性状多样性推断群落组装过程

DOI:
10.1017/s0266467416000262
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发表时间:
2016
影响因子:
1.4
通讯作者:
Ye Wan-Hui
Ye Wan-Hui
中科院分区:
环境科学与生态学4区
文献类型:
--
作者:
Shen Yong;Yu Shi-Xiao;Lian Ju-Yu;Shen Hao;Cao Hong-Lin;Lu Huan-Ping;Ye Wan-Hui

文献摘要

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摘要:环境过滤和竞争相互作用是群落聚集过程中重要的生态过程。这两个过程对群落聚集的贡献可以通过功能多样性格局的变化来评价。研究了20公顷鼎湖山森林样地92个树种6个性状(叶片叶绿素浓度、干物质含量、大小、比叶面积、厚度和木材密度)的功能多样性与环境梯度(地形和土壤)的相关性。部分Mantel检验表明,大部分群落加权平均性状值随地形凹凸度和土壤肥力的变化而变化,表明存在环境过滤作用。随着地形凹凸度和土壤肥力的增加,许多性状的功能多样性显著增加,这分别与光照资源和地下资源的增加有关。这些结果表明,共生物种在强非生物胁迫区域在环境过滤下功能趋同,但在更良性的环境中由于资源分配和竞争相互作用而功能分化。单性状多样性和多变量功能多样性与环境因子的关系不同,表明性状与不同的生态位轴相关,与不同的生态过程相关,说明关注生态位轴在性状选择中的重要性。在逐步多元回归模型中,环境因子能解释9% ~ 41%的不同性状功能多样性变异。地形凹凸度和土壤肥力是功能多样性的最佳预测因子,分别占模型总R2的30.5%和29.0%。这为不同的环境因子对植物性状多样性的调节具有不同的影响提供了重要的证据。
Abstract: Environmental filtering and competitive interactions are important ecological processes in community assembly. The contribution of the two processes to community assembly can be evaluated by shifts in functional diversity patterns. We examined the correlations between functional diversity of six traits (leaf chlorophyll concentration, dry matter content, size, specific leaf area, thickness and wood density) and environmental gradients (topography and soil) for 92 species in the 20-ha Dinghushan forest plot in China. A partial Mantel test showed that most of the community-weighted mean trait values changed with terrain convexity and soil fertility, which implied that environmental filtering was occurring. Functional diversity of many traits significantly increased with increasing terrain convexity and soil fertility, which was associated with increased light and below-ground resources respectively. These results suggest that co-occurring species are functionally convergent in regions of strong abiotic stress under the environmental filtering, but functionally divergent in more benign environments due to resource partitioning and competitive interactions. Single-trait diversity and multivariate functional diversity had different relationships with environmental factors, indicating that traits were related to different niche axes, and associated with different ecological processes, which demonstrated the importance of focusing niche axes in traits selection. Between 9% and 41% of variation in functional diversity of different traits was explained by environmental factors in stepwise multiple regression models. Terrain convexity and soil fertility were the best predictors of functional diversity, which contributed 30.5% and 29.0% of total R2 to the model. These provided essential evidence that different environmental factors had distinguishing impacts on regulating diversity of traits.