![]() ![]() Insights we can get into neutral models and stochastic populationĭynamics in general using entropy and information theory. My interest inĬoming to this workshop is in part out of an interest in what greater Will not talk that much about information and entropy, but insteadĪbout neutral theory and niche theory in ecology. Of biodiversity and other competitors to the principle of maximumĮntropy. Summary of some of the major opportunities at the frontier of Taxonomic groups, habitats and spatial scales. With constraints derived from ratios ofĮcological state variables, I show that Ma圎nt yields realisticĪbundance distributions, species-area relationships, spatialĪggregation patterns, and body-size distributions over a wide range of Macroecology, the study of the distribution, abundance, and energetics Yields classical statistical mechanics/thermodynamics under theĬonstraints imposed by conservation laws. In statistical physics, this powerful inference method Information entropy (Ma圎nt) yields least-biased probabilityĭistributions. Useful connections between diverse themes in the workshop.Įntropy as a foundation for theory building in ecology. ![]() These concepts, though basic, may provide Will illustrate with examples from statistical inference andĮvolutionary game theory. Strong positive selection for escaping the disinformation attack. Of strong negative selection for retention of the target feature, plus This is especially true when the disinformationĪttack targets a feature of high fitness value, yielding a combination Interesting ways, by opening up paths for rapid co-evolution toĭistant steady-states. "disinformation dynamic" can alter the evolutionary landscape in Power (I e) by sending it a misleading signal, this When an attacker IEM can reduce a target IEM's prediction Is an IEM whose elements (species) are themselves IEMs that can
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