Distributed under Creative Commons Cc-by 4.0 an Extensive Comparison of Species- Abundance Distribution Models
Distributed under Creative Commons Cc-by 4.0 an Extensive Comparison of Species- Abundance Distribution Models
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通讯作者：
E. White;Sara Varela;Elita Baldridge;David J. Harris;X. Xiao
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作者：
E. White;Sara Varela;Elita Baldridge;David J. Harris;X. Xiao
已经提出了许多不同的模型来描述物种-多度分布（SAD）。对这些模型的大多数评价只使用一个或两个模型，只侧重于一个单一的生态系统或分类群体，或没有使用适当的统计方法。我们使用似然和AIC来比较四个最广泛使用的模型与来自不同分类群和生态系统的16，000多个社区的数据的拟合。在所有数据集中，组合的对数序列、泊松对数正态分布和负二项分布均产生与数据相似的总体拟合。因此，当校正参数数量的差异时，对数系列通常提供对数据的最佳拟合。在单个数据集内，即使在校正参数数量后，其他一些分布的表现也与对数系列接近。Zipf分布通常是SAD的不良表征。
A number of different models have been proposed as descriptions of the species-abundance distribution (SAD). Most evaluations of these models use only one or two models, focus on only a single ecosystem or taxonomic group, or fail to use appropriate statistical methods. We use likelihood and AIC to compare the fit of four of the most widely used models to data on over 16,000 communities from a diverse array of taxonomic groups and ecosystems. Across all datasets combined the log-series, Poisson lognormal, and negative binomial all yield similar overall fits to the data. Therefore, when correcting for differences in the number of parameters the log-series generally provides the best fit to data. Within individual datasets some other distributions performed nearly as well as the log-series even after correcting for the number of parameters. The Zipf distribution is generally a poor characterization of the SAD.