Evidence map›Paper›PMID 42571250›Full record

ArticleEvolution letters2026

Coevolution of species' range borders: Interactions between interspecific competition, gene flow, and matching habitat choice.

Farshad Shirani, Judith R Miller, Benjamin G Freeman

Abstract read
In one paragraph

Article in Evolution letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Farshad ShiraniDepartment of Physics, Emory University, Atlanta, United States.ORCID https://orcid.org/0000-0003-1412-957X
Judith R MillerDepartment of Mathematics and Statistics, Georgetown University, Washington, United States.ORCID https://orcid.org/0000-0002-7405-6061
Benjamin G FreemanSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.ORCID https://orcid.org/0000-0001-6131-6832

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing theory examining the coevolutionary dynamics of species' range borders assumes random dispersal, which causes maladaptive gene flow from the range core to the range margins and contributes to the formation of range limits. However, dispersal is unlikely to be random for many organisms in nature, calling into question existing theoretical predictions. For example, if individuals exhibit phenotype-dependent adaptive dispersal strategies such as matching habitat choice, then the resulting adaptive gene flow toward species' range margins could facilitate range expansions and potentially prevent the formation of range limits by interspecific competition. To test this idea, we use a comprehensive mathematical model to develop a quantitative theory of range border coevolution that incorporates phenotype-optimal dispersal-a particular form of matching habitat choice in which individuals follow the gradient in an environmental optimum phenotype to settle in the habit best suited for their phenotype. We find that instead of preventing competitively formed range limits, adaptive dispersal leads to sharper range limits and reduced character displacement in sympatry. These differences are particularly remarkable when natural selection is weak, when individuals are specialized in their resource use, or when individuals are highly sensitive to environmental conditions. We show that matching habitat choice causes backward edge-to-core movements, which dynamically interact with the effects of interspecific competition to establish the range limits. Thus, the formation of range limits by interspecific competition is robust to assumptions about individual dispersal. Further, our results identify the competitive advantage of evolving matching habitat choice in steep environmental gradients, especially for slowly growing species in rapidly fluctuating climates.

Indexed as

adaptive dispersalcharacter displacementcompetitive interactionsnon-random gene flowrange limits

Identifiers

PMID42571250
PMCPMC13451777

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.