The maximum entropy formalism and the idiosyncratic theory of biodiversity
Open Access
- 13 August 2007
- journal article
- Published by Wiley in Ecology Letters
- Vol. 10 (11) , 1017-1028
- https://doi.org/10.1111/j.1461-0248.2007.01096.x
Abstract
Why does the neutral theory, which is based on unrealistic assumptions, predict diversity patterns so accurately? Answering questions like this requires a radical change in the way we tackle them. The large number of degrees of freedom of ecosystems pose a fundamental obstacle to mechanistic modelling. However, there are tools of statistical physics, such as the maximum entropy formalism (MaxEnt), that allow transcending particular models to simultaneously work with immense families of models with different rules and parameters, sharing only well-established features. We applied MaxEnt allowing species to be ecologically idiosyncratic, instead of constraining them to be equivalent as the neutral theory does. The answer we found is that neutral models are just a subset of the majority of plausible models that lead to the same patterns. Small variations in these patterns naturally lead to the main classical species abundance distributions, which are thus unified in a single framework.Keywords
This publication has 57 references indexed in Scilit:
- The zero-sum assumption in neutral biodiversity theoryJournal of Theoretical Biology, 2007
- The impact of neutrality, niche differentiation and species input on diversity and abundance distributionsOikos, 2007
- The wealth of species: ecological communities, complex systems and the legacy of Frank PrestonEcology Letters, 2007
- Soil nutrients influence spatial distributions of tropical tree speciesProceedings of the National Academy of Sciences, 2007
- Dynamical evolution of ecosystemsNature, 2006
- A Renaissance in the Study of AbundanceScience, 2006
- Diversity: between neutrality and structureOikos, 2006
- Variational modelling theorems and algocoenoses functioning principlesEcological Modelling, 2000
- Population Dynamic Models Generating Species Abundance Distributions of the Gamma TypeJournal of Theoretical Biology, 1996
- Information Theory and Statistical MechanicsPhysical Review B, 1957