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On the distribution of plant abundance data

机译:关于植物丰度数据的分布

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摘要

Plant abundance data are often analysed using standard statistical procedures without considering their distributional features and the underlying ecological processes. However, plant abundance data, e.g. when measured in biodiversity monitoring programs, are often sampled using a hierarchical sampling procedure, and since plant abundance data in a hierarchical sampling procedure are typically both zero-inflated and over-dispersed, the use of a standard statistical procedure is sub-optimal and not the best possible practice in the modelling of plant abundance data. Two distributions (the zero-inflated generalised binomial distribution and the zero-inflated bounded beta distribution) are suggested as possible distributions for analysing either discrete, continuous. or ordinal hierarchically sampled plant cover data.
机译:通常使用标准统计程序来分析植物丰度数据,而不考虑其分布特征和潜在的生态过程。但是,植物丰度数据例如当在生物多样性监测计划中进行测量时,通常使用分层采样程序进行采样,并且由于分层采样程序中的植物丰度数据通常都是零膨胀和过度分散的,因此使用标准的统计程序不是最优方法,而不是最优方法在植物丰度数据建模中的最佳实践。建议使用两种分布(零膨胀的广义二项分布和零膨胀的有界β分布)作为分析离散,连续的可能分布。或按序分层采样的植物覆盖数据。

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