Evidence map›Paper›PMID 41574787›Full record

ArticleEcology letters2026

Density Dependence During Evolutionary Rescue Increases Extinction Risk but Does Not Prevent Adaptation.

Laure Olazcuaga, Brett A Melbourne, Scott W Nordstrom, Ruth A Hufbauer

Abstract read
In one paragraph

Article in Ecology letters, 2026. 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

4 authors.

Laure OlazcuagaDepartment of Agricultural Biology, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0001-9100-1305
Brett A MelbourneDepartment of Ecology & Evolutionary Biology, University of Colorado, Boulder, Colorado, USA.
Scott W NordstromDepartment of Ecology & Evolutionary Biology, University of Colorado, Boulder, Colorado, USA.
Ruth A HufbauerDepartment of Agricultural Biology, Colorado State University, Fort Collins, Colorado, USA.

Funding

National Science Foundation DEB-1930222National Science Foundation DEB-1930650
6 · The paper itself

Abstract

Evolutionary rescue allows populations to adapt and persist despite severe environmental change. While well studied under density-independent conditions, the role of density dependence, including competition, remains unclear. Theoretical models offer conflicting predictions, with density dependence either increasing extinction risk or enhancing adaptation. We empirically tested how density dependence influences evolutionary rescue by exposing experimental populations to a stressful environment for six generations under density-dependent or independent conditions, with populations where either evolution was possible or was prevented by replacing individuals each generation. Density dependence suppressed population size and increased extinction risk, whereas density independence enabled rapid growth, especially in genetically diverse populations where evolution was possible. Although density dependence raises extinction risk, it does not prevent populations from responding to selection, since surviving density-dependent populations still exhibited increased intrinsic and realised fitness. These findings reconcile theoretical discrepancies, showing density dependence can simultaneously increase extinction risk but may favour adaptation. Our results underscore the importance of considering density dependence in conservation strategies.

Indexed as

Adaptation, PhysiologicalBiological EvolutionDaphniaExtinction, BiologicalAnimalsModels, BiologicalPopulation DensityPopulation Dynamicsbottleneckdemographic historyeco‐evolutionary dynamicspopulation dynamicsstress

Identifiers

PMID41574787
PMCPMC12828866

What OpenQuestion holds

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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.