학술논문

Protected polymorphisms and evolutionary stability of patch-selection strategies in stochastic environments
Document Type
article
Source
Journal of Mathematical Biology. 71(2)
Subject
Genetics
Life on Land
Animals
Biological Evolution
Computational Biology
Ecosystem
Environment
Genetics
Population
Mathematical Concepts
Models
Genetic
Polymorphism
Genetic
Population Dynamics
Stochastic Processes
Density-dependent
Frequency-dependent
Protected polymorphism
Evolutionarily stable strategy
Exclusion
Dimorphic
Ideal-free
Invasion rate
Habitat selection
Bet hedging
Mathematical Sciences
Biological Sciences
Bioinformatics
Language
Abstract
We consider a population living in a patchy environment that varies stochastically in space and time. The population is composed of two morphs (that is, individuals of the same species with different genotypes). In terms of survival and reproductive success, the associated phenotypes differ only in their habitat selection strategies. We compute invasion rates corresponding to the rates at which the abundance of an initially rare morph increases in the presence of the other morph established at equilibrium. If both morphs have positive invasion rates when rare, then there is an equilibrium distribution such that the two morphs coexist; that is, there is a protected polymorphism for habitat selection. Alternatively, if one morph has a negative invasion rate when rare, then it is asymptotically displaced by the other morph under all initial conditions where both morphs are present. We refine the characterization of an evolutionary stable strategy for habitat selection from Schreiber (Am Nat 180:17-34, 2012) in a mathematically rigorous manner. We provide a necessary and sufficient condition for the existence of an ESS that uses all patches and determine when using a single patch is an ESS. We also provide an explicit formula for the ESS when there are two habitat types. We show that adding environmental stochasticity results in an ESS that, when compared to the ESS for the corresponding model without stochasticity, spends less time in patches with larger carrying capacities and possibly makes use of sink patches, thereby practicing a spatial form of bet hedging.