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Punctuated equilibrium in statistical models of generalized coevolutionary resilience: How sudden ecosystem transitions can entrain both phenotype expression and Darwinian selection

机译:广义协同进化弹性的统计模型中的标点平衡:突然的生态系统转变如何能够带动表型表达和达尔文选择

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摘要

We argue that mesoscale ecosystem resilience shifts akin to sudden phase transitions in physical systems can entrain similarly punctuated events of gene expression on more rapid time scales, and, in part through such means, slower changes induced by selection pressure, triggering punctuated equilibrium Darwinian evolutionary transitions on geologic time scales. The approach reduces ecosystem, gene expression, and Darwinian genetic dynamics to a least common denominator of information sources interacting by crosstalk at markedly differing rates. Pettini's 'topological hypothesis', via a homology between information source uncertainty and free energy density, generates a statistical model of sudden coevolutionary phase transition based on the Rate Distortion and Shannon-McMillan Theorems of information theory which links all three levels. Holling's (1992) extended keystone hypothesis regarding the particular role of mesoscale phenomena in entraining both slower and faster dynamical structures produces the result. A main theme is the necessity of a cognitive paradigm for gene expression, mirroring I. Cohen's cognitive approach to immune function. Invocation of the necessary conditions imposed by the asymptotic limit theorems of communication theory enables us to penetrate one layer more deeply before needing to impose a phenomenological system of 'Onsager relation' recursive coevolutionary stochastic differential equations. Extending the development to second order via a large deviations argument may permit modeling the influence of human cultural structures on ecosystems.
机译:我们认为,中尺度的生态系统弹性类似于物理系统中的突然相变,可以在更快速的时间尺度上携带类似的标点符号事件,部分地通过这种方式,由选择压力引起的变化更慢,触发标点符号的平衡达尔文式进化过渡在地质时间尺度上。该方法将生态系统,基因表达和达尔文遗传动力学降低为信息源的最不常见的分母,这些信息源通过串扰以明显不同的速率进行交互。 Pettini的“拓扑假说”通过信息源不确定性和自由能密度之间的同源性,基于信息理论的速率畸变和Shannon-McMillan定理生成了将所有三个层次联系在一起的突然共进化相变的统计模型。 Holling(1992)扩展了关于中尺度现象在带动越来越快的动力学结构中的特殊作用的基石假说。一个主要主题是基因表达的认知范式的必要性,反映了I. Cohen对免疫功能的认知方法。调用通信理论的渐近极限定理所施加的必要条件使我们能够在需要施加“ Onsager关系”递归协进化随机微分方程的现象系统之前更深入地渗透一层。通过大的偏差论证将发展扩展到第二阶可以允许模拟人类文化结构对生态系统的影响。

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