"Realistic strategies" and neutral processes drive the community assembly based on leaf functional traits in a subtropical evergreen broad-leaved forest.
"Realistic strategies" and neutral processes drive the community assembly based on leaf functional traits in a subtropical evergreen broad-leaved forest.
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在亚热带常绿阔叶林中，“现实策略”和中立过程驱动基于叶子功能特征的群落组装
DOI：
10.1002/ece3.9323
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发表时间：
2022-09
影响因子：
2.6
通讯作者：
Ouyang, Shuai
中科院分区：
文献类型：
--
作者：
Zhao, Lijuan;Xiang, Wenhua;Li, Jiaxiang;Liu, Wenqian;Hu, Yanting;Wu, Huili;Zhang, Yiling;Cheng, Xing;Wang, Weijia;Wang, Wentao;Ouyang, Shuai
关键词：
基于中性理论的随机决定过程和基于生态位理论的决定过程通常被用来解释自然群落聚集的机制。然而，关于不同生态过程在塑造森林社区方面的相对重要性，仍然存在相当大的不确定性。功能性状和系统发育提供了关于植物环境适应策略和进化历史的重要信息，并有望更好地从机制上和预测性地理解群落组装。根据光叶青冈常绿阔叶林的9个叶功能性状和18个优势种的系统发育数据，分析了叶功能性状的变异，探讨了系统发育和环境对叶片性状的影响，区分了空间变量和环境变量对功能性状和系统发育组成的相对影响。结果表明：(1)叶片性状具有中等的种内变异，种间变异较大，尤其是生活型间变异较大。(Ii)仅在叶厚度和叶面积上检测到显著的系统发育信号。各性状间的相关性在物种和群落水平上都支持“叶经济学谱”，去除系统发育影响后，相关关系显著增加或变化不大，表明叶功能性状模式与系统发育模式之间缺乏一致性。我们推测共存的物种倾向于采用“现实主义”来适应它们的栖息地。(3)土壤全钾、全磷含量、海拔高度、坡向和凸度是影响功能性状和系统发育组成的最关键环境因子。总的环境和空间变量解释了功能性状组成变异的63.38%和系统发育结构变异的47.96%。同时，纯空间因子的贡献率显著高于纯环境因子。随机过程在驱动群落功能性状聚集中起主导作用，而环境过滤等决定性过程在精细尺度上对群落系统发育结构的塑造作用更大。中性理论的随机过程在驱动群落功能性状组装中起主导作用，而环境过滤等基于生态位理论的决定过程在精细尺度上塑造群落系统发育结构的作用更强。
Neutral‐theory‐based stochastic and niche‐theory‐based determinative processes are commonly used to explain the mechanisms of natural community assembly. However, considerable uncertainty remains regarding the relative importance of different ecological processes in shaping forest communities. Functional traits and phylogeny provide important information about plant environmental adaptation strategies and evolutionary history and promise a better mechanistic and predictive understanding of community assembly. Based on nine leaf functional traits and phylogenetic data of 18 dominant species in a Lithocarpus glaber–Cyclobalanopsis glauca evergreen broad‐leaved forest, we analyzed the variation in traits, explored the influence of phylogeny and environment on leaf traits, and distinguished the relative effects of spatial and environmental variables on functional traits and phylogenetic compositions. The results showed the following: (i) Leaf traits had moderate intraspecific variation, and significant interspecific variation existed especially among life forms. (ii) Significant phylogenetic signals were detected only in leaf thickness and leaf area. The correlations among traits both supported “the leaf economics spectrum” at the species and community levels, and the relationships significantly increased or only a little change after removing the phylogenetic influence, which showed a lack of consistency between the leaf functional trait patterns and phylogenetic patterns. We infer the coexistent species tended to adopt “realism” to adapt to their habitats. (iii) Soil total potassium and phosphorus content, altitude, aspect, and convexity were the most critical environmental factors affecting functional traits and phylogenetic composition. Total environmental and spatial variables explained 63.38% of the variation in functional trait composition and 47.96% of the variation in phylogenetic structures. Meanwhile, the contribution of pure spatial factors was significantly higher than that of the pure environment. Stochastic processes played dominant roles in driving community functional trait assembly, but determinative processes such as environmental filtering had a stronger effect on shaping community phylogenetic structure at a fine scale. We infer the coexistent species tended to adopt “realism” to adapt to their habitats.Neutral‐ theory‐based stochastic processes played dominant roles in driving community functional trait assembly, but niche‐theory‐based determinative processes such as environmental filtering had a stronger effect on shaping community phylogenetic structure at a fine scale.
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影响因子：
4.3
作者：
Guerfel, Mokhtar;Baccouri, Olfa;Zarrouk, Mokhtar
通讯作者：
Zarrouk, Mokhtar
影响因子：
5.8
作者：
Kembel, Steven W.;Cowan, Peter D.;Webb, Campbell O.
通讯作者：
Webb, Campbell O.
影响因子：
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作者：
Cheng Yi-Kang;Zhang Hui;Zhu Kong-Xin
通讯作者：
Zhu Kong-Xin
影响因子：
6.6
作者：
Duarte, Leandro D. S.;Debastiani, Vanderlei J.;Pillar, Valerio D.
通讯作者：
Pillar, Valerio D.
影响因子：
4.8
作者：
Funk, Jennifer L.;Wolf, Amelia A.
通讯作者：
Wolf, Amelia A.