功能特征和系统发育共同调节环境过滤和扩散限制对物种空间分布的影响

IF 2.7 3区 农林科学 Q2 ECOLOGY Frontiers in Forests and Global Change Pub Date : 2024-01-08 DOI:10.3389/ffgc.2023.1339726
Minghui Wang, Wande Liu, Zhaoquan Chen, Shuaifeng Li, Xiaobo Huang, Zihan Hu, Ruiguang Shang
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引用次数: 0

摘要

揭示群落中物种的空间分布格局和形成机制,可以为群落更新、演替和多样性维持机制提供重要线索。在本研究中,我们采用空间点过程模型来识别和量化物种空间分布的过程。结果表明,LGCP 模型有效地描述了所有物种,表明物种的空间分布格局可能受到环境过滤和扩散限制的共同影响。通过对体型和资源保护等功能特征的描述,阐明了物种空间分布的差异。这项研究强调了环境过滤和扩散限制共同作用在产生物种空间分布模式中的重要意义。事实证明,将空间点过程模型与功能特征和系统发育结合起来,是理解物种组合机制的有效方法。
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Functional traits and phylogeny jointly regulate the effects of environmental filtering and dispersal limitation on species spatial distribution
Revealing the spatial distribution pattern and formation mechanism of species in a community can provide important clues for community renewal, succession, and diversity maintenance mechanisms.In this study, we employed spatial point process modeling to identify and quantify the processes contributing to the spatial distribution of species. Simultaneously, we explored the relationship between functional traits and species spatial distribution characteristics in conjunction with phylogenetic studies.The results revealed that the LGCP model effectively described all species, indicating that the spatial pattern of species may be influenced by a combination of environmental filtering and dispersal limitation. Disparities in species spatial distribution were elucidated by characterizing functional traits, such as body size and resource conservation. Incorporating phylogenetic information enhanced the predictive capacity of functional traits in explaining species spatial distribution.This study underscores the significance of the joint effects of environmental filtering and dispersal limitation in generating species spatial distribution patterns. Integrating spatial point process models with considerations of functional traits and phylogeny proves to be an effective approach for comprehending the mechanisms governing species combinations.
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来源期刊
CiteScore
4.50
自引率
6.20%
发文量
256
审稿时长
12 weeks
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