Modeling Evolution of Heterogeneous Populations: Theory and Applications describes, develops and provides applications of a method that allows incorporating population heterogeneity into systems of ordinary and discrete differential equations without significantly increasing system dimensionality. The method additionally allows making use of results of bifurcation analysis performed on simplified homogeneous systems, thereby building on the existing body of tools and knowledge and expanding applicability and predictive power of many mathematical models. Introduces Hidden Keystone Variable (HKV) method, which allows modeling evolution of heterogenous populations, while reducing multi-dimensional selection systems to low-dimensional systems of differential equations Demonstrates that replicator dynamics is governed by the principle of maximal relative entropy that can be derived from the dynamics of selection systems instead of being postulated Discusses mechanisms behind models of both Darwinian and non-Darwinian selection Provides examples of applications to various fields, including cancer growth, global demography, population extinction, tragedy of the commons and resource sustainability, among others Helps inform differences in underlying mechanisms of population growth from experimental observations, taking one from experiment to theory and back
Professor Levins, one of the leading explorers in the field of integrated population biology, considers the mutual interpenetration and joint evolution of organism and environment, occurring on several levels at once.
... marked from subpopulation 1 is bπ b) and the complement from N2 [expected number marked from subpopulation 2 is b(1 – πb)]. We investigated behavior of Lincoln's ˆN using the following expectations for estimators of harvest and harvest ...
Life cycle and maintenance of LH and HL Drosophila populations used to study the evolution of population stability (after Mueller et al., 2000). lation stability is often a function of maximum rates of reproduction at low density, ...
This work reflects sixteen hours of lectures delivered by the author at the 2009 St Flour summer school in probability.
This collection of review articles is devoted to the modeling of ecological, epidemiological and evolutionary systems.
Diverse type 2 diabetes genetic risk factors functionally converge in a phenotype-focused gene network. PLoS Computational Biology 13: e1005816. Sanger, F., Nicklen, S., and Coulson, A.R. (1977). DNA sequencing with chain-terminating ...
McNamara , J. M. , and A. I. Houston . “ Memory and The Efficient Use of Information . ” J. Theor . Biol . ... Todd , I. A. , and A. Kacelnik . " Psychological Mechanisms and The Marginal Value Theorem : Dynamics of Scalar Memory for ...
Richards, M., V. Macaulay, E. Hickey, E. Vega, B. Sykes, V. Guida, C. Rengo, D. Sellitto, F. Cruciani, T. Kivisild, R. Villems, M. Thomas, S. Rychkov, O. Rychkov, Y. Rychkov, M. G ̈olge, D. Dimitrov, E. Hill, D. Bradley, V. Romano, ...
The goal of this book is to search for a balance between simple and analyzable models and unsolvable models which are capable of addressing important questions on population biology.
The contributions to this book aim at understanding, from a evolutionary perspective, the impact of stress on biological systems.