Evidence map›Paper›PMID 36934748›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2023

Gaps in modelling animal migration with evolutionary game theory: infection can favour the loss of migration.

Allison K Shaw, Martha Torstenson, Meggan E Craft, Sandra A Binning

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2023. 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

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Gaps in modelling animal migration with evolutionary game theory: infection can favour the loss of migration.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  3. Half a century of evolutionary games: a synthesis of theory, application and future directions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    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

4 authors.

Allison K ShawDepartment of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN 55108, USA.ORCID 0000-0001-7969-8365
Martha TorstensonDepartment of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN 55108, USA.ORCID 0000-0002-4028-5130
Meggan E CraftDepartment of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN 55108, USA.ORCID 0000-0001-5333-8513
Sandra A BinningDépartement de sciences biologiques, Université de Montréal, Montréal, Québec, H3C 3J7, Canada.ORCID 0000-0002-2804-9979

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ongoing environmental changes alter how natural selection shapes animal migration. Understanding how these changes play out theoretically can be done using evolutionary game theoretic (EGT) approaches, such as looking for evolutionarily stable strategies. Here, we first describe historical patterns of how EGT models have explored different drivers of migration. We find that there are substantial gaps in both the taxa (mammals, amphibians, reptiles, insects) and mechanisms (mutualism, interspecific competition) included in past EGT models of migration. Although enemy interactions, including parasites, are increasingly considered in models of animal migration, they remain the least studied of factors for migration considered to date. Furthermore, few papers look at changes in migration in response to perturbations (e.g. climate change, new species interactions). To address this gap, we present a new EGT model to understand how infection with a novel parasite changes host migration. We find three possible outcomes when migrants encounter novel parasites: maintenance of migration (despite the added infection cost), loss of migration (evolutionary shift to residency) or population collapse, depending on the risk and cost of getting infected, and the cost currency. Our work demonstrates how emerging infection can alter animal behaviour such as migration. This article is part of the theme issue 'Half a century of evolutionary games: a synthesis of theory, application and future directions'.

Indexed as

Animal MigrationParasitesAnimalsBiological EvolutionGame TheoryInsectaMammalsModels, Theoreticalemerging infectious diseasesmigratory cullingmigratory exposurenovel pathogenpredationspillover infection

Identifiers

PMID36934748
PMCPMC10024995

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.