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Accounting for dispersal and biotic interactions to disentangle the drivers of species distributions and their abundances

机译：解释分散和生物相互作用，以弄清物种分布及其丰富度的驱动因素

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摘要

Although abiotic factors, together with dispersal and biotic interactions, are often suggested to explain the distribution of species and their abundances, species distribution models usually focus on abiotic factors only. We propose an integrative framework linking ecological theory, empirical data and statistical models to understand the distribution of species and their abundances together with the underlying community assembly dynamics. We illustrate our approach with 21 plant species in the French Alps. We show that a spatially nested modelling framework significantly improves the model's performance and that the spatial variations of species presence-absence and abundances are predominantly explained by different factors. We also show that incorporating abiotic, dispersal and biotic factors into the same model bring new insights to our understanding of community assembly. This approach, at the crossroads between community ecology and biogeography, is a promising avenue for a better understanding of species co-existence and biodiversity distribution.
机译：尽管通常建议使用非生物因素以及分散和生物相互作用来解释物种的分布及其丰度，但物种分布模型通常仅关注非生物因素。我们提出了一个综合框架，将生态学理论，经验数据和统计模型联系起来，以了解物种的分布及其丰富度以及潜在的社区集会动态。我们用法国阿尔卑斯山的21种植物说明了我们的方法。我们表明，空间嵌套的建模框架可以显着提高模型的性能，并且物种存在，不存在和丰度的空间变化主要由不同因素来解释。我们还表明，将非生物因素，传播因素和生物因素纳入同一模型可为我们对社区集会的理解提供新见解。在社区生态学和生物地理学之间的交汇处，这种方法为更好地了解物种共存和生物多样性分布提供了有希望的途径。

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