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分离环境和空间对树种分布的影响:从种群到群落。

Separating the effects of environment and space on tree species distribution: from population to community.

机构信息

Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, People's Republic of China.

出版信息

PLoS One. 2013;8(2):e56171. doi: 10.1371/journal.pone.0056171. Epub 2013 Feb 8.

Abstract

Quantifying the relative contributions of environmental conditions and spatial factors to species distribution can help improve our understanding of the processes that drive diversity patterns. In this study, based on tree inventory, topography and soil data from a 20-ha stem-mapped permanent forest plot in Guangdong Province, China, we evaluated the influence of different ecological processes at different spatial scales using canonical redundancy analysis (RDA) at the community level and multiple linear regression at the species level. At the community level, the proportion of explained variation in species distribution increased with grid-cell sizes, primarily due to a monotonic increase in the explanatory power of environmental variables. At the species level, neither environmental nor spatial factors were important determinants of overstory species' distributions at small cell sizes. However, purely spatial variables explained most of the variation in the distributions of understory species at fine and intermediate cell sizes. Midstory species showed patterns that were intermediate between those of overstory and understory species. At the 20-m cell size, the influence of spatial factors was stronger for more dispersal-limited species, suggesting that much of the spatial structuring in this community can be explained by dispersal limitation. Comparing environmental factors, soil variables had higher explanatory power than did topography for species distribution. However, both topographic and edaphic variables were highly spatial structured. Our results suggested that dispersal limitation has an important influence on fine-intermediate scale (from several to tens of meters) species distribution, while environmental variability facilitates species distribution at intermediate (from ten to tens of meters) and broad (from tens to hundreds of meters) scales.

摘要

量化环境条件和空间因素对物种分布的相对贡献有助于提高我们对驱动多样性模式的过程的理解。在这项研究中,基于中国广东省一个 20 公顷的有向森林样地的树木清查、地形和土壤数据,我们在群落水平上使用典范冗余分析(RDA)和物种水平上的多元线性回归评估了不同空间尺度上不同生态过程的影响。在群落水平上,物种分布解释的变异比例随着网格细胞大小的增加而增加,主要是由于环境变量的解释能力呈单调增加。在物种水平上,环境和空间因素都不是小细胞尺寸下林层物种分布的重要决定因素。然而,纯粹的空间变量在细和中等细胞尺寸下解释了林下物种分布的大部分变异。中木物种的分布模式介于林层和林下物种之间。在 20 米的细胞大小下,空间因素对扩散受限物种的影响更强,这表明该群落的大部分空间结构可以用扩散限制来解释。比较环境因素,土壤变量对物种分布的解释能力高于地形变量。然而,地形和土壤变量都具有高度的空间结构。我们的结果表明,扩散限制对细-中等尺度(从几米到几十米)的物种分布有重要影响,而环境变异性则有利于中等(从几十米到几十米)和大尺度(从几十米到几百米)的物种分布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/3568135/853ec3f31ec7/pone.0056171.g001.jpg

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