Ecology Letters · 2007 · 167 citations · 59 references
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.
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Handbook of Mathematical Functions
Donald A. McQuarrie · American Journal of Physics · 1966 · 40.4K citations
Function Theory, Approximation Theory, Generalized Function +1
Information Theory and Statistical Mechanics
E. T. Jaynes · Physical Review · 1957 · 12.6K citations
Information theory and statistics
Journal of the Franklin Institute · 1959 · 7.2K citations
The Unified Neutral Theory of Biodiversity and Biogeography
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