Evidence map›Paper›PMID 34145714›Full record

ArticleBiological reviews of the Cambridge Philosophical Society2021

Social competition as a driver of phenotype-environment correlations: implications for ecology and evolution.

Rienk W Fokkema, Peter Korsten, Tim Schmoll, Alastair J Wilson

Open access · hybridAbstract read
In one paragraph

Article in Biological reviews of the Cambridge Philosophical Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
10.6field-weighted citation impact, top 2% of its field
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

12 citing papers in PubMed, 33 citations in OpenAlex.

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  8. A generalised approach to the study and understanding of adaptive evolution.Biological reviews of the Cambridge Philosophical Society · 2023
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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 at 3 institutions in 3 countries.

Rienk W FokkemaDepartment of Animal Behaviour, Bielefeld University, Konsequenz 45, Bielefeld, 33615, Germany.ORCID 0000-0002-8238-5308
Peter Korsten *Department of Animal Behaviour, Bielefeld University, Konsequenz 45, Bielefeld, 33615, Germany.ORCID 0000-0003-0814-9099
Tim Schmoll *Evolutionary Biology, Bielefeld University, Konsequenz 45, Bielefeld, 33615, Germany.
Alastair J Wilson *Centre for Ecology and Conservation, University of Exeter (Penryn Campus), Penryn, Cornwall, TR10 9FE, United Kingdom.ORCID 0000-0002-5045-2051
Bielefeld University · DEUniversity of Exeter · GBUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While it is universally recognised that environmental factors can cause phenotypic trait variation via phenotypic plasticity, the extent to which causal processes operate in the reverse direction has received less consideration. In fact individuals are often active agents in determining the environments, and hence the selective regimes, they experience. There are several important mechanisms by which this can occur, including habitat selection and niche construction, that are expected to result in phenotype-environment correlations (i.e. non-random assortment of phenotypes across heterogeneous environments). Here we highlight an additional mechanism - intraspecific competition for preferred environments - that may be widespread, and has implications for phenotypic evolution that are currently underappreciated. Under this mechanism, variation among individuals in traits determining their competitive ability leads to phenotype-environment correlation; more competitive phenotypes are able to acquire better patches. Based on a concise review of the empirical evidence we argue that competition-induced phenotype-environment correlations are likely to be common in natural populations before highlighting the major implications of this for studies of natural selection and microevolution. We focus particularly on two central issues. First, competition-induced phenotype-environment correlation leads to the expectation that positive feedback loops will amplify phenotypic and fitness variation among competing individuals. As a result of being able to acquire a better environment, winners gain more resources and even better phenotypes - at the expense of losers. The distinction between individual quality and environmental quality that is commonly made by researchers in evolutionary ecology thus becomes untenable. Second, if differences among individuals in competitive ability are underpinned by heritable traits, competition results in both genotype-environment correlations and an expectation of indirect genetic effects (IGEs) on resource-dependent life-history traits. Theory tells us that these IGEs will act as (partial) constraints, reducing the amount of genetic variance available to facilitate evolutionary adaptation. Failure to recognise this will lead to systematic overestimation of the adaptive potential of populations. To understand the importance of these issues for ecological and evolutionary processes in natural populations we therefore need to identify and quantify competition-induced phenotype-environment correlations in our study systems. We conclude that both fundamental and applied research will benefit from an improved understanding of when and how social competition causes non-random distribution of phenotypes, and genotypes, across heterogeneous environments.

Indexed as

Biological EvolutionSelection, GeneticAdaptation, PhysiologicalPhenotypeSocial Behavioradaptationevolutionary stasisfitness variationhabitat qualityindirect genetic effect (IGE)individual qualityintraspecific competitionmicroevolutionphenotype-environment correlation

Identifiers

PMID34145714
PMCPMC9290562
OpenAlexW3170831201

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.