Evidence map›Paper›PMID 40332627›Full record

ArticleBulletin of mathematical biology2025

Matching Habitat Choice and the Evolution of a Species' Range.

Farshad Shirani, Judith R Miller

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Article in Bulletin of mathematical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic Diversity and Population Structure ofPlants (Basel, Switzerland) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Farshad ShiraniSchool of Mathematics, Georgia Institute of Technology, Atlanta, GA, 30332, USA. f.shirani@gatech.edu.ORCID http://orcid.org/0000-0003-1412-957X
Judith R MillerDepartment of Mathematics and Statistics, Georgetown University, Washington, DC, 20057, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural selection is not the only mechanism that promotes adaptation of an organism to its environment. Another mechanism is matching habitat choice, in which individuals sense and disperse toward habitat best suited to their phenotype. This can in principle facilitate rapid adaptation, enhance range expansion, and promote genetic differentiation, reproductive isolation, and speciation. However, empirical evidence that confirms the evolution of matching habitat choice in nature is limited. Here we obtain theoretical evidence that phenotype-optimal dispersal, a particular form of matching habitat choice, is likely to evolve only in the presence of a steep environmental gradient. Such a gradient may be steeper than the gradient the majority of species typically experience in nature, adding to the collection of possible explanations for the scarcity of evidence for matching habitat choice. We draw this conclusion from numerical solutions of a system of deterministic partial differential equations for a population's density along with the mean and variance of a fitness-related quantitative phenotypic trait such as body size. In steep gradients, we find that phenotype-optimal dispersal facilitates rapid adaptation on single-generation time scales, reduces within-population trait variation, increases range expansion speed, and enhances the chance of survival in rapidly changing environments. Moreover, it creates a directed gene flow that compensates for the maladaptive core-to-edge effects of random gene flow caused by random movements. These results suggest that adaptive gene flow to range margins, together with substantially reduced trait variation at central populations, may be hallmarks of phenotype-optimal dispersal in natural populations. Further, slowly-growing species under strong natural selection may particularly benefit from evolving phenotype-optimal dispersal.

Indexed as

Biological EvolutionEcosystemModels, BiologicalAdaptation, PhysiologicalAnimal DistributionAnimalsGene FlowMathematical ConceptsPhenotypePopulation DensityPopulation DynamicsSelection, GeneticAdaptive dispersalCompetitionEvolutionary partial differential equationsGenetic variationRange dynamics

Identifiers

PMID40332627
PMCPMC12058903

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