Evidence map›Paper›PMID 39964071›Full record

ArticleEcology letters2025

Local Adaptation Is Highest in Populations With Stable Long-Term Growth.

Lauren N Carley, Monica A Geber, William F Morris, Vincent M Eckhart, David A Moeller

Abstract read
In one paragraph

Article in Ecology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Lauren N CarleyDepartment of Plant and Microbial Biology, University of Minnesota Twin Cities, St. Paul, Minnesota, USA.ORCID https://orcid.org/0000-0003-1911-7025
Monica A GeberDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0002-0885-7290
William F MorrisDepartment of Biology, Duke University, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0001-5914-5974
Vincent M EckhartDepartment of Biology, Grinnell College, Grinnell, Iowa, USA.ORCID https://orcid.org/0000-0002-8633-1999
David A MoellerDepartment of Plant and Microbial Biology, University of Minnesota Twin Cities, St. Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-6202-9912

Funding

Division of Environmental Biology 0515409Division of Environmental Biology 0515428Division of Environmental Biology 0515466Division of Environmental Biology 1255141Division of Environmental Biology 1256288Division of Environmental Biology 1256316Division of Environmental Biology 1753980Division of Environmental Biology 1754026Division of Environmental Biology 1754157Division of Environmental Biology 1754299
6 · The paper itself

Abstract

Theory suggests that the drivers of demographic variation and local adaptation are shared and may feedback on one other. Despite some evidence for these links in controlled settings, the relationship between local adaptation and demography remains largely unexplored in natural conditions. Using 10 years of demographic data and two reciprocal transplant experiments, we tested predictions about the relationship between the magnitude of local adaptation and demographic variation (population growth rates and their elasticities to vital rates) across 10 populations of a well-studied annual plant. In both years, we found a strong unimodal relationship between mean home-away local adaptation and stochastic population growth rates. Other predicted links were either weakly or not supported by our data. Our results suggest that declining and rapidly growing populations exhibit reduced local adaptation, potentially due to maladaptation and relaxed selection, respectively.

Indexed as

Adaptation, PhysiologicalModels, BiologicalPopulation DynamicsPopulation Growtheco‐evolutionary dynamicslocal adaptationpopulation dynamics

Identifiers

PMID39964071
PMCPMC11834371

What OpenQuestion holds

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LicenceCC BY
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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.