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• W2610406995 abstract "Abstract Simplified mechanistic models in ecology have been criticised for the fact that a good fit to data does not imply the mechanism is true: pattern does not equal process. In parallel, the maximum entropy principle (MaxEnt) has been applied in ecology to make predictions constrained by just a handful of state variables, like total abundance or species richness. But an outstanding question remains: what principle tells us which state variables to constrain? Here we attempt to solve both problems simultaneously, by translating a given set of mechanisms into the state variables to be used in MaxEnt, and then using this MaxEnt theory as a null model against which to compare mechanistic predictions. In particular, we identify the sufficient statistics needed to parametrise a given mechanistic model from data and use them as MaxEnt constraints. Our approach isolates exactly what mechanism is telling us over and above the state variables alone." @default.
• W2610406995 created "2017-05-12" @default.
• W2610406995 creator A5019708820 @default.
• W2610406995 creator A5083896582 @default.
• W2610406995 creator A5088377780 @default.
• W2610406995 date "2017-06-20" @default.
• W2610406995 modified "2023-10-05" @default.
• W2610406995 title "Reinterpreting maximum entropy in ecology: a null hypothesis constrained by ecological mechanism" @default.
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• W2610406995 doi "https://doi.org/10.1111/ele.12788" @default.
• W2610406995 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28635126" @default.
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