The species pool specific for a site includes all species from the region that are theoretically able to live in the site's particular ecological conditions. The absent portion of the site‐specific species pool forms the site’s dark diversity, which is unobservable and can only be estimated. Most existing methods to designate dark diversity act in a binary fashion. Here, we argue that the species pool is more suitably defined as a fuzzy set, present a method to estimate probabilistic species pools using pairwise co‐occurrence data with a hypergeometric distribution, and compare it with established methods (Beals index and favourability correction).

中文翻译：

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根据共现数据估算特定于站点的概率物种库和黑暗多样性

特定地点的物种库包括该地区理论上能够在该地点的特定生态条件下生活的所有物种。特定地点物种库中缺少的部分形成了该地点的黑暗多样性，这是无法观察到的，只能进行估计。现有大多数指定暗分集的方法都以二进制方式起作用。在这里，我们认为物种库更适合定义为模糊集，提出了一种使用成对共现数据和超几何分布来估计概率物种库的方法，并将其与已建立的方法（比尔指数和有利性校正）进行比较。