Evidence map›Paper›PMID 41049804›Full record

ArticleEvolution letters2025

Predicting the contribution of single trait evolution to rescuing a plant population from demographic impacts of climate change.

Diane R Campbell, John M Powers, Justin Kipness

Abstract read
In one paragraph

Article in Evolution letters, 2025. 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
–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

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.

Diane R CampbellDepartment of Ecology & Evolutionary Biology, University of California, Irvine, United States.ORCID https://orcid.org/0000-0002-1147-846X
John M PowersDepartment of Ecology & Evolutionary Biology, University of California, Irvine, United States.
Justin KipnessRocky Mountain Biological Laboratory, Crested Butte, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary adaptation can allow a population to persist in the face of a new environmental challenge. With many populations now threatened by environmental change, it is important to understand whether this process of evolutionary rescue is feasible under natural conditions, yet work on this topic has been largely theoretical. We used unique long-term data to parameterize deterministic and stochastic models of the contribution of 1 trait to evolutionary rescue using field estimates for the subalpine plant

Indexed as

adaptationenvironmental stochasticityevolutionary rescuephenotypic plasticityphenotypic selectionspecific leaf area

Identifiers

PMID41049804
PMCPMC12492211

What OpenQuestion holds

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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.