Abstract

In the maximum entropy theory of ecology (METE), the form of a function describing the distribution of abundances over species and metabolic rates over individuals in an ecosystem is inferred using the maximum entropy inference procedure. Favretti shows that an alternative maximum entropy model exists that assumes the same prior knowledge and makes predictions that differ from METE’s. He shows that both cannot be correct and asserts that his is the correct one because it can be derived from a classic microstate-counting calculation. I clarify here exactly what the core entities and definitions are for METE, and discuss the relevance of two critical issues raised by Favretti: the existence of a counting procedure for microstates and the choices of definition of the core elements of a theory. I emphasize that a theorist controls how the core entities of his or her theory are defined, and that nature is the final arbiter of the validity of a theory.

Highlights

  • In the maximum entropy theory of ecology (METE), the form of a function describing the distribution of abundances over species and metabolic rates over individuals in an ecosystem is inferred using the maximum entropy inference procedure

  • Favretti [9] claims that a correct application of MaxEnt would, in contrast to METE, predict a geometric distribution both for abundances over the species and metabolic rates over individuals; again in contrast to METE, it would predict the absence of correlation between the abundances of species and the metabolic rates of the individuals within the species

  • I summarize here what the core entities and definitions are for METE, and discuss the relevance of two critical issues raised by Favretti: the existence of a counting procedure for microstates and the choices of definition of the core elements of a theory

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Summary

Introduction

In the maximum entropy theory of ecology (METE), the form of a function describing the distribution of abundances over species and metabolic rates over individuals in an ecosystem is inferred using the maximum entropy inference procedure. The maximum entropy theory of ecology (METE) predicts the shapes of probability distributions describing patterns in the abundance, metabolism, and spatial distribution of individuals and taxonomic groups in ecosystems [1,2,3,4,5].

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