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Solution of the spatial neutral model yields new bounds on the Amazonian species richness

机译:空间中性模型的求解为亚马逊物种丰富度带来了新的界限

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摘要

Neutral models, in which individual agents with equal fitness undergo a birth-death-mutation process, are very popular in population genetics and community ecology. Usually these models are applied to populations and communities with spatial structure, but the analytic results presented so far are limited to well-mixed or mainland-island scenarios. Here we combine analytic results and numerics to obtain an approximate solution for the species abundance distribution and the species richness for the neutral model on continuous landscape. We show how the regional diversity increases when the recruitment length decreases and the spatial segregation of species grows. Our results are supported by extensive numerical simulations and allow one to probe the numerically inaccessible regime of large-scale systems with extremely small mutation/speciation rates. Model predictions are compared with the findings of recent large-scale surveys of tropical trees across the Amazon basin, yielding new bounds for the species richness (between 13100 and 15000) and the number of singleton species (between 455 and 690).
机译:在种群遗传学和社区生态学中,中性模型非常普遍,在这种模型中,具有同等适应性的个体个体经历了出生死亡突变过程。通常,这些模型适用于具有空间结构的人口和社区,但是到目前为止,所提供的分析结果仅限于混合充分的场景或大陆-岛屿场景。在这里,我们结合分析结果和数值来获得连续景观中立模型的物种丰富度分布和物种丰富度的近似解。我们展示了当招聘时间缩短且物种的空间隔离增长时,区域多样性如何增加。我们的结果得到了广泛的数值模拟的支持,使我们能够用极小的突变/物种形成率来探索大型系统在数值上难以接近的状态。将模型预测与最近对整个亚马逊河流域热带树木的大规模调查的结果进行比较,从而为物种丰富度(13100至15000)和单身物种数量(455至690)提供了新的界限。

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