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Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover
Ecography ( IF 5.9 ) Pub Date : 2022-03-08 , DOI: 10.1111/ecog.05808
Andrés Baselga 1 , Carola Gómez‐Rodríguez 2 , Miguel B. Araújo 3, 4 , Adrián Castro‐Insua 1 , Miguel Arenas 5 , David Posada 5 , Alfried P. Vogler 6, 7
Affiliation  

Spatial turnover of biological communities is determined by both dispersal and environmental constraints. However, we lack quantitative predictions about how these factors interact and influence turnover across genealogical scales. In this study, we have implemented a predictive framework based on approximate Bayesian computation (ABC) to quantify the signature of dispersal and environmental constraints in community turnover. First, we simulated the distribution of haplotypes, intra-specific lineages and species in biological communities under different strengths of dispersal and environmental constraints. Our simulations show that spatial turnover rate is invariant across genealogical scales when dispersal limitation determines the species ranges. However, when environmental constraint limits species ranges, spatial turnover rates vary across genealogical scales. These simulations were used in an ABC framework to quantify the role of dispersal and environmental constraints in 16 empirical biological communities sampled from local to continental scales, including several groups of insects (both aquatic and terrestrial), molluscs and bats. In seven datasets, the observed genealogical invariance of spatial turnover, assessed with distance–decay curves, suggests a dispersal-limited scenario. In the remaining datasets, the variance in distance–decay curves across genealogical scales was best explained by various combinations of dispersal and environmental constraints. Our study illustrates how modelling spatial turnover at multiple genealogical scales (species and intraspecific lineages) provides relevant insights into the relative role of dispersal and environmental constraints in community turnover.

中文翻译:

物种和遗传变异的联合分析,以量化扩散和环境限制在群落更新中的作用

生物群落的空间周转取决于扩散和环境限制。然而,我们缺乏关于这些因素如何相互作用并影响跨系谱规模的营业额的定量预测。在这项研究中,我们实施了一个基于近似贝叶斯计算 (ABC) 的预测框架,以量化社区营业额中分散和环境约束的特征。首先,我们模拟了不同强度的分散和环境约束下生物群落中单倍型、特定内谱系和物种的分布。我们的模拟表明,当扩散限制决定物种范围时,空间周转率在系谱尺度上是不变的。然而,当环境约束限制了物种范围时,空间周转率因系谱尺度而异。这些模拟被用于 ABC 框架,以量化从地方到大陆尺度采样的 16 个经验生物群落中扩散和环境限制的作用,包括几组昆虫(水生和陆生)、软体动物和蝙蝠。在七个数据集中,观察到的空间周转的系谱不变性,用距离衰减曲线评估,表明扩散受限的情况。在剩余的数据集中,跨系谱尺度的距离衰减曲线的变化最好通过分散和环境约束的各种组合来解释。
更新日期:2022-03-08
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