Department of Plant Biology, University of Illinois, Urbana, IL, USA.
Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.
Sci Rep. 2018 Jul 5;8(1):10200. doi: 10.1038/s41598-018-27712-7.
One of the first successes of neutral ecology was to predict realistically-broad distributions of rare and abundant species. However, it has remained an outstanding theoretical challenge to describe how this distribution of abundances changes with spatial scale, and this gap has hampered attempts to use observed species abundances as a way to quantify what non-neutral processes are needed to fully explain observed patterns. To address this, we introduce a new formulation of spatial neutral biodiversity theory and derive analytical predictions for the way abundance distributions change with scale. For tropical forest data where neutrality has been extensively tested before now, we apply this approach and identify an incompatibility between neutral fits at regional and local scales. We use this approach derive a sharp quantification of what remains to be explained by non-neutral processes at the local scale, setting a quantitative target for more general models for the maintenance of biodiversity.
中性生态学的早期成功之一是能够真实地预测稀有和丰富物种的广泛分布。然而,描述这种丰度分布如何随空间尺度变化仍然是一个悬而未决的理论挑战,这一差距阻碍了人们试图利用观察到的物种丰度来量化需要什么样的非中性过程才能充分解释观察到的模式。为了解决这个问题,我们引入了一种新的空间中性生物多样性理论,并对丰度分布随尺度变化的方式进行了分析预测。对于目前已经广泛测试过中性的热带森林数据,我们应用了这种方法,并发现了区域和局部尺度中性拟合之间的不兼容性。我们使用这种方法推导出了非中性过程在局部尺度上还需要解释的内容的精确量化,为维持生物多样性的更一般模型设定了一个定量目标。