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Predicting global biodiversity via Hubbell regression

2026-06-02

Abstract excerpt

Understanding global biodiversity patterns and their drivers is a prerequisite for countering the biodiversity crisis. In this paper, we introduce a novel generalized linear model, Hubbell regression, to estimate a key biodiversity descriptor, the fundamental biodiversity number. This can be converted into a set of biodiversity descriptors, including Shannon and Simpson indices, and more. Hence, quantifying the im...

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Literature Corpus work
dc6887b9-dde1-5b61-b5a7-fd5351f906e3
DOI
10.64898/2026.05.29.728852
Open publication

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Predicting global biodiversity via Hubbell regressionDOI 10.64898/2026.05.29.728852
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