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空间与时空方法在研究复合种群中的比较:地中海和热带暂时性池塘的多分类群分析。

Spatial versus spatio-temporal approaches for studying metacommunities: a multi-taxon analysis in Mediterranean and tropical temporary ponds.

机构信息

Cavanilles Institute for Biodiversity and Evolutionary Biology, University of Valencia, Paterna, Valencia, Spain.

Department of Biology, Concordia University, Montreal, Canada.

出版信息

Proc Biol Sci. 2024 Apr 10;291(2020):20232768. doi: 10.1098/rspb.2023.2768. Epub 2024 Apr 3.

DOI:10.1098/rspb.2023.2768
PMID:38565154
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10987233/
Abstract

Prior research on metacommunities has largely focused on snapshot surveys, often overlooking temporal dynamics. In this study, our aim was to compare the insights obtained from metacommunity analyses based on a spatial approach repeated over time, with a spatio-temporal approach that consolidates all data into a single model. We empirically assessed the influence of temporal variation in the environment and spatial connectivity on the structure of metacommunities in tropical and Mediterranean temporary ponds. Employing a standardized methodology across both regions, we surveyed multiple freshwater taxa in three time periods within the same hydrological year from multiple temporary ponds in each region. To evaluate how environmental, spatial and temporal influences vary between the two approaches, we used nonlinear variation partitioning analyses based on generalized additive models. Overall, this study underscores the importance of adopting spatio-temporal analytics to better understand the processes shaping metacommunities. While the spatial approach suggested that environmental factors had a greater influence, our spatio-temporal analysis revealed that spatial connectivity was the primary driver influencing metacommunity structure in both regions. Temporal effects were equally important as environmental effects, suggesting a significant role of ecological succession in metacommunity structure.

摘要

先前关于复合种群的研究主要集中在静态调查上,往往忽略了时间动态。在这项研究中,我们的目的是比较基于时空方法的复合种群分析与将所有数据整合到单个模型中的时空方法所获得的见解。我们实证评估了环境和空间连通性随时间的变化对热带和地中海临时池塘中复合种群结构的影响。在两个地区都采用标准化方法,我们在每个地区的多个临时池塘中,在同一水文年内的三个时间点上调查了多个淡水分类群。为了评估两种方法之间环境、空间和时间影响的差异,我们使用基于广义加性模型的非线性变化分区分析。总的来说,这项研究强调了采用时空分析来更好地理解塑造复合种群的过程的重要性。虽然空间方法表明环境因素的影响更大,但我们的时空分析表明,空间连通性是影响两个地区复合种群结构的主要驱动因素。时间效应与环境效应同样重要,这表明生态演替在复合种群结构中起着重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/10987233/6b5910beb03e/rspb20232768f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/10987233/1e5d54dfccec/rspb20232768f01.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/10987233/648d89c7bc67/rspb20232768f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/10987233/bb17799232e3/rspb20232768f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/10987233/6b5910beb03e/rspb20232768f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/10987233/1e5d54dfccec/rspb20232768f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/10987233/928c8a5a1591/rspb20232768f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/10987233/87fd02fc9821/rspb20232768f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/10987233/648d89c7bc67/rspb20232768f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/10987233/bb17799232e3/rspb20232768f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/10987233/6b5910beb03e/rspb20232768f06.jpg

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本文引用的文献

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Environmental heterogeneity determines the ecological processes that govern bacterial metacommunity assembly in a floodplain river system.
环境异质性决定了控制漫滩河流系统中细菌复合种群组装的生态过程。
ISME J. 2020 Dec;14(12):2951-2966. doi: 10.1038/s41396-020-0723-2. Epub 2020 Jul 27.
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A process-based metacommunity framework linking local and regional scale community ecology.基于过程的宏群落框架,将局部和区域尺度的群落生态学联系起来。
Ecol Lett. 2020 Sep;23(9):1314-1329. doi: 10.1111/ele.13568. Epub 2020 Jul 16.
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Bacterioplankton Community Composition Along Environmental Gradients in Lakes From Byers Peninsula (Maritime Antarctica) as Determined by Next-Generation Sequencing.利用新一代测序技术确定的南极海洋拜尔斯半岛湖泊中沿环境梯度的浮游细菌群落组成
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