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陆地丰度分布的形状。

The shape of terrestrial abundance distributions.

作者信息

Alroy John

机构信息

Department of Biological Sciences, Macquarie University, New South Wales 2109, Australia. E-mail:

出版信息

Sci Adv. 2015 Sep 25;1(8):e1500082. doi: 10.1126/sciadv.1500082. eCollection 2015 Sep.

DOI:10.1126/sciadv.1500082
PMID:26601249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4643760/
Abstract

Ecologists widely accept that the distribution of abundances in most communities is fairly flat but heavily dominated by a few species. The reason for this is that species abundances are thought to follow certain theoretical distributions that predict such a pattern. However, previous studies have focused on either a few theoretical distributions or a few empirical distributions. I illustrate abundance patterns in 1055 samples of trees, bats, small terrestrial mammals, birds, lizards, frogs, ants, dung beetles, butterflies, and odonates. Five existing theoretical distributions make inaccurate predictions about the frequencies of the most common species and of the average species, and most of them fit the overall patterns poorly, according to the maximum likelihood-related Kullback-Leibler divergence statistic. Instead, the data support a low-dominance distribution here called the "double geometric." Depending on the value of its two governing parameters, it may resemble either the geometric series distribution or the lognormal series distribution. However, unlike any other model, it assumes both that richness is finite and that species compete unequally for resources in a two-dimensional niche landscape, which implies that niche breadths are variable and that trait distributions are neither arrayed along a single dimension nor randomly associated. The hypothesis that niche space is multidimensional helps to explain how numerous species can coexist despite interacting strongly.

摘要

生态学家普遍认为,大多数群落中物种丰度的分布相当平缓,但少数物种占据主导地位。其原因在于,物种丰度被认为遵循某些预测这种模式的理论分布。然而,以往的研究要么聚焦于少数理论分布,要么聚焦于少数经验分布。我展示了1055个样本中树木、蝙蝠、小型陆生哺乳动物、鸟类、蜥蜴、青蛙、蚂蚁、蜣螂、蝴蝶和蜻蜓的丰度模式。根据与最大似然相关的库尔贝克-莱布勒散度统计量,五种现有的理论分布对最常见物种和平均物种的频率做出了不准确的预测,而且它们大多与整体模式拟合不佳。相反,数据支持一种低优势度分布,这里称为“双几何分布”。根据其两个控制参数的值,它可能类似于几何级数分布或对数正态级数分布。然而,与任何其他模型不同的是,它既假设丰富度是有限的,又假设物种在二维生态位景观中对资源的竞争不平等,这意味着生态位宽度是可变的,且性状分布既不沿单一维度排列,也不是随机关联的。生态位空间是多维的这一假设有助于解释尽管物种间相互作用强烈,但仍有众多物种能够共存的现象。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433d/4643760/144419ea07f8/1500082-F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433d/4643760/363f92ae8051/1500082-F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433d/4643760/23803ee8da25/1500082-F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433d/4643760/2ff5d9d7e32f/1500082-F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433d/4643760/144419ea07f8/1500082-F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433d/4643760/363f92ae8051/1500082-F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433d/4643760/23803ee8da25/1500082-F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433d/4643760/2ff5d9d7e32f/1500082-F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433d/4643760/144419ea07f8/1500082-F4.jpg

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