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Journal of Theoretical Biology
Article . 2014 . Peer-reviewed
License: Elsevier TDM
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Article . 2014
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https://dx.doi.org/10.48550/ar...
Article . 2013
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Environmental evolutionary graph theory

Authors: Maciejewski, Wes; Puleo, Gregory J.;

Environmental evolutionary graph theory

Abstract

Understanding the influence of an environment on the evolution of its resident population is a major challenge in evolutionary biology. Great progress has been made in homogeneous population structures while heterogeneous structures have received relatively less attention. Here we present a structured population model where different individuals are best suited to different regions of their environment. The underlying structure is a graph: individuals occupy vertices, which are connected by edges. If an individual is suited for their vertex, they receive an increase in fecundity. This framework allows attention to be restricted to the spatial arrangement of suitable habitat. We prove some basic properties of this model and find some counter-intuitive results. Notably, 1) the arrangement of suitable sites is as important as their proportion, and, 2) decreasing the proportion of suitable sites may result in a decrease in the fixation time of an allele.

Keywords

Applications of graph theory, Adaptation, Biological, Populations and Evolution (q-bio.PE), structured populations, Environment, two-species competition, Biological Evolution, Models, Biological, Population dynamics (general), Coloring of graphs and hypergraphs, Species Specificity, FOS: Biological sciences, evolution, Moran process, Computer Simulation, Quantitative Biology - Populations and Evolution, Demography

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Green
bronze