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Stochasticity directs adaptive evolution toward nonequilibrium evolutionary attractors
by
DeLong, John P.
, Cressler, Clayton E.
in
Adaptation
/ Adaptation, Physiological - genetics
/ Biological Evolution
/ Breeding success
/ Ecological effects
/ Ecosystem
/ ecosystems
/ eco‐evolutionary dynamics
/ Evolution
/ evolutionary adaptation
/ Genetic Drift
/ Gillespie algorithm
/ Gillespie eco‐evolutionary model
/ maladaptation
/ Population Dynamics
/ Reproduction
/ reproductive success
/ stochastic dynamics
/ Stochastic Processes
/ Stochasticity
2023
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Stochasticity directs adaptive evolution toward nonequilibrium evolutionary attractors
by
DeLong, John P.
, Cressler, Clayton E.
in
Adaptation
/ Adaptation, Physiological - genetics
/ Biological Evolution
/ Breeding success
/ Ecological effects
/ Ecosystem
/ ecosystems
/ eco‐evolutionary dynamics
/ Evolution
/ evolutionary adaptation
/ Genetic Drift
/ Gillespie algorithm
/ Gillespie eco‐evolutionary model
/ maladaptation
/ Population Dynamics
/ Reproduction
/ reproductive success
/ stochastic dynamics
/ Stochastic Processes
/ Stochasticity
2023
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Do you wish to request the book?
Stochasticity directs adaptive evolution toward nonequilibrium evolutionary attractors
by
DeLong, John P.
, Cressler, Clayton E.
in
Adaptation
/ Adaptation, Physiological - genetics
/ Biological Evolution
/ Breeding success
/ Ecological effects
/ Ecosystem
/ ecosystems
/ eco‐evolutionary dynamics
/ Evolution
/ evolutionary adaptation
/ Genetic Drift
/ Gillespie algorithm
/ Gillespie eco‐evolutionary model
/ maladaptation
/ Population Dynamics
/ Reproduction
/ reproductive success
/ stochastic dynamics
/ Stochastic Processes
/ Stochasticity
2023
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Stochasticity directs adaptive evolution toward nonequilibrium evolutionary attractors
Journal Article
Stochasticity directs adaptive evolution toward nonequilibrium evolutionary attractors
2023
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Overview
Stochastic processes such as genetic drift may hinder adaptation, but the effect of such stochasticity on evolution via its effect on ecological dynamics is poorly understood. Here we evaluate patterns of adaptation in a population subject to variation in demographic stochasticity. We show that stochasticity can alter population dynamics and lead to evolutionary outcomes that are not predicted by classic eco-evolutionary modeling approaches. We also show, however, that these outcomes are governed by nonequilibrium evolutionary attractors— these are maxima in lifetime reproductive success when stochasticity keeps the ecological system away from the deterministic equilibrium. These NEEAs alter the path of evolution but are not visible through the equilibrium lens that underlies much evolutionary theory. Our results reveal that considering population processes during transient periods can greatly improve our understanding of the path and pace of evolution.
Publisher
John Wiley and Sons, Inc,John Wiley & Sons, Inc,Ecological Society of America
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