Evidence map›Paper›PMID 40046159›Full record

ArticleEvolutionary applications2025

Maintaining Local Adaptation Is Key for Evolutionary Rescue and Long-Term Persistence of Populations Experiencing Habitat Loss and a Changing Environment.

Teagan Baiotto, Laura Melissa Guzman

Abstract read
In one paragraph

Article in Evolutionary applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Genetic Rescue: Latest Advances and Applications.Evolutionary applications · 2026
    Article
  2. 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

2 authors.

Teagan BaiottoDepartment of Entomology Cornell University Ithaca New York USA.ORCID https://orcid.org/0009-0002-9197-5032
Laura Melissa GuzmanDepartment of Entomology Cornell University Ithaca New York USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Anthropocene is marked by increased population extirpations and redistributions driven primarily by human-induced climate change and habitat loss. Habitat loss affects populations by removing occupiable area, which reduces carrying capacity through a reduction in resources, and fragmenting the landscape, which can reduce gene flow with potential consequences for adaptation to changing environmental conditions. Real patterns of habitat loss are non-random, often clustered in space and within a subset of environmental conditions (e.g., primarily in the valleys of a mountain-valley region). Spatial clustering of habitat loss can alter population connectivity, and environmental clustering can shift the mean as well as decrease the variance in environmental conditions available to populations. We evaluate how spatial and environmental biases underlying habitat loss impact the survival of populations (as a proxy of evolutionary rescue) exposed to both habitat loss and environmental change. To do this, we simulated landscapes with a spatially autocorrelated temperature gradient to which individuals were locally adapted. These landscapes were then subjected to both nonrandom habitat loss (e.g., clustered based on the temperature) and increasing temperatures. We find that evolutionary rescue in response to increasing temperatures is hampered when habitat loss results in small patches, reduces the breadth of environmental conditions, and is concentrated on the cooler end of the temperature gradient. Our findings highlight the importance of maintaining a wide breadth of environmental conditions available to populations subjected to habitat loss, and the disproportionate role that colder sites play as a buffer to increasing temperatures, compared to warmer sites. Our findings also add a new dimension to the single large or several small (SLOSS) conservation discussion, stressing the importance of environmental diversity regardless of patch size.

Indexed as

environmental structureevolutionary rescuehabitat lossindividual‐based model

Identifiers

PMID40046159
PMCPMC11881017

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.