The maximum entropy formalism and the idiosyncratic theory of biodiversity

被引:115
作者
Pueyo, Salvador [1 ]
He, Fangliang [1 ]
Zillio, Tommaso [1 ]
机构
[1] Univ Alberta, Dept Renewable Res, Edmonton, AB T6G 2H1, Canada
关键词
Bayesian statistics; diversity patterns; log-normal; log-series; macroecology; maximum entropy formalism; neutral theory; scaling; species abundance distribution; statistical physics; SPECIES-ABUNDANCE DISTRIBUTION; NEUTRAL THEORY; COMMUNITY STRUCTURE; ECOLOGICAL COMMUNITIES; STOCHASTIC-THEORY; TROPICAL FORESTS; DISTRIBUTIONS; DIVERSITY; MODELS; POPULATION;
D O I
10.1111/j.1461-0248.2007.01096.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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.
引用
收藏
页码:1017 / 1028
页数:12
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