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- W4249201723 abstract "Theories of biodiversity seek to predict and unify patterns of commonness and rarity. Maximum entropy theory of ecology (METE) is among the most unifying and powerful theories of biodiversity, explaining >90% of variation in abundance among species of plant and animal using the total number of individuals ( N 0 ) and number of species. However, METE has yet been tested among the most abundant and diverse organisms on Earth, i.e., microorganisms. Using 20,456 sites of microbial communities, we show that METE only explains 0 to 60% of variation in abundance and increasingly fails for larger N 0 . In contrast, a more uneven distribution with a maximum entropy solution, the Zipf, often explains >90% of variation among microbes and performs better as N 0 increases. Our findings suggest that theories of biodiversity could produce accurate predictions across the tree of life and scales of abundance if they capture how disparities in abundance increase with N 0 ." @default.
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- W4249201723 date "2015-11-01" @default.
- W4249201723 modified "2023-09-24" @default.
- W4249201723 title "Do modern theories of biodiversity fail to predict commonness and rarity among microbes?" @default.
- W4249201723 doi "https://doi.org/10.7287/peerj.preprints.1450v2" @default.
- W4249201723 hasPublicationYear "2015" @default.
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