On plotting species abundance distributions
On plotting species abundance distributions
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DOI：
10.1111/j.1365-2656.2006.01095.x
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发表时间：
2006-05-01
影响因子：
4.8
通讯作者：
Ugland, Karl. I.
中科院分区：
文献类型：
--
作者：
Gray, John S.;Bjorgesaeter, Anders;Ugland, Karl. I.
人们对物种丰度分布（SAD）模型重新产生了兴趣，这是由于对数正态分布低估了物种丰富的组合中稀有物种的观测数量。这导致了中性零和多项式分布 (ZSM) 的发展，以更好地拟合观测数据。然而，据称相同数据的 SAD 图显示，由于使用不同的分箱方法，物种频率以及 ZSM 和对数正态模型的统计拟合存在差异。我们为巴罗科罗拉多岛 (BCI) 热带树木数据绘制了六种不同的分箱方法。对于不同的分箱方法，曲线的外观有很大不同。因此，根据所使用的分箱系统，对不同模型的拟合可能会有所不同。SAD 图没有商定的分箱方法。我们的分析表明，出于说明目的，将每个垃圾箱中每个物种的个体数量简单加倍可能是最实用的方法。或者，应使用等级丰度图。对于拟合和测试模型，已经开发了精确的方法，并且这些方法的应用不需要数据分箱。如果在测试模型的拟合优度之前对数据进行分箱，则会不必要地引入错误。
There has been a revival of interest in species abundance distribution (SAD) models, stimulated by the claim that the log-normal distribution gave an underestimate of the observed numbers of rare species in species-rich assemblages. This led to the development of the neutral Zero Sum Multinomial distribution (ZSM) to better fit the observed data.Yet plots of SADs, purportedly of the same data, showed differences in frequencies of species and of statistical fits to the ZSM and log-normal models due to the use of different binning methods.We plot six different binning methods for the Barro Colorado Island (BCI) tropical tree data. The appearances of the curves are very different for the different binning methods. Consequently, the fits to different models may vary depending on the binning system used.There is no agreed binning method for SAD plots. Our analysis suggests that a simple doubling of the number of individuals per species in each bin is perhaps the most practical one for illustrative purposes. Alternatively rank-abundance plots should be used.For fitting and testing models exact methods have been developed and application of these does not require binning of data. Errors are introduced unnecessarily if data are binned before testing goodness-of-fit to models.