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An Algebraic Derivation of Chaos Estimator of the Number of Species in a Community Highlights the Condition Allowing Chao to Deliver Centered Estimates

机译:Chao的社区中物种数量估计量的代数推导突出了允许Chao提供中心估计的条件

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摘要

Anne Chao proposed a very popular, nonparametric estimator of the species richness of a community, on the basis of a limited size sampling of this community. This expression was originally derived on a statistical basis as a lower-bound estimate of the number of missing species in the sample and provides accordingly a minimal threshold for the estimation of the total species richness of the community. Hereafter, we propose an alternative, algebraic derivation of Chao's estimator, demonstrating thereby that Chao's formulation may also provide centered estimates (and not only a lower bound threshold), provided that the sampled communities satisfy a specific type of SAD (species abundance distribution). This particular SAD corresponds to the case when the number of unrecorded species in the sample tends to decrease exponentially with increasing sampling size. It turns out that the shape of this “ideal” SAD often conforms approximately to the usually recorded types in nature, such as “log-normal” or “broken-stick.”. Accordingly, this may explain why Chao's formulation is generally recognized as a particularly satisfying nonparametric estimator.
机译:Anne Chao提出了一个非常流行的,非参数的社区物种丰富度估算器,它是基于对该社区的有限样本抽样而得出的。该表达最初是根据统计学得出的,作为对样本中缺失物种数量的下限估计,因此为估计群落总物种丰富度提供了最小阈值。此后,我们提出了Chao的估计量的另一种代数推导,从而证明了Chao的公式还可以提供集中的估计(而不仅仅是下限阈值),前提是所采样的群落满足特定类型的SAD(物种丰度分布)。此特定的SAD对应于以下情况:样品中未记录种类的数量随采样大小的增加而呈指数下降的趋势。事实证明,这种“理想” SAD的形状通常近似于自然界通常记录的类型,例如“对数正态”或“折断棒”。因此,这可以解释为什么Chao的公式通常被认为是一个特别令人满意的非参数估计量。

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