Evidence map›Paper›PMID 42581539›Full record

ReviewGlobal change biology2026

A Trait-Based Approach to Studying Animal Movement Responses to Extreme Events.

Tayler N LaSharr, Tana Verzuh, Ellen Y Ye, Zachary E Bordner, Ellen O Aikens

Abstract readReview
In one paragraph

Review in Global change biology, 2026. 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

5 authors.

Tayler N LaSharrSchool of Computing, University of Wyoming, Laramie, Wyoming, USA.ORCID 0000-0001-5848-3058
Tana VerzuhSchool of Computing, University of Wyoming, Laramie, Wyoming, USA.ORCID 0000-0003-4027-5415
Ellen Y YeSchool of Computing, University of Wyoming, Laramie, Wyoming, USA.ORCID 0000-0002-2236-584X
Zachary E BordnerSchool of Computing, University of Wyoming, Laramie, Wyoming, USA.ORCID 0009-0001-2511-4018
Ellen O AikensSchool of Computing, University of Wyoming, Laramie, Wyoming, USA.ORCID 0000-0003-0827-3006

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extreme weather and climate events are threatening wildlife across the globe and animal movement is a primary mechanism that allows individuals to respond appropriately. Why, when, where, and how animals move when faced with extreme events will determine how extreme events transform ecological processes-from individual fitness and population viability to species persistence and range shift dynamics. Here, we propose a framework in which to consider how traits of both extreme events and animals mediate movement responses during extreme events. Temporal and spatial traits of an extreme event underpin the environmental change that occurs on the landscape. Both species- and individual-level traits influence the impact those environmental changes have on an animal. The environmental impact of the extreme event will, in turn, influence an animal's movement response, which ultimately determines their fitness outcome. By integrating the drivers and consequences of animal movement through a trait-based lens, we can accelerate the study, understanding, and conservation of wildlife mobility in an increasingly extreme world.

Indexed as

Animal MigrationClimate ChangeExtreme WeatherAnimalsEcosystemanimal mobilityclimate pulsesdisturbanceescape movementsextreme climate and weather eventshabitat destructionheatwaverefuge habitattropical cyclonewildfire

Identifiers

PMID42581539
PMCPMC13462368

What OpenQuestion holds

Textmetadata
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.