Evidence map›Paper›PMID 40833629›Full record

ReviewIntegrative and comparative biology2025

Understanding Climate Change Threats to Vertebrate Wildlife by Studying Ecoimmunology Across Biological Scales.

Anna C Fagre, Daniel J Becker, Laura A Pulscher, Molly C Simonis, Colleen G Duncan

Abstract readReview
In one paragraph

Review in Integrative and comparative biology, 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

5 authors.

Anna C FagreDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, 80523USA.ORCID 0000-0002-0969-5078
Daniel J BeckerSchool of Biological Sciences, University of Oklahoma, Norman, OK, 73019USA.ORCID 0000-0003-4315-8628
Laura A PulscherDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, 80523USA.
Molly C SimonisCollege of Forestry, Wildlife and Environment, and Department of Pathobiology, Auburn University, Auburn, AL, 36849USA.ORCID 0000-0001-5937-4494
Colleen G DuncanDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, 80523USA.ORCID 0000-0001-8402-9238

Funding

National Science Foundation 2515340NIH HHS K01OD03764.5
6 · The paper itself

Abstract

Climate change threatens organismal health and ecological stability in myriad ways, the impacts of which are often difficult to characterize given their complex and interacting nature. To facilitate comparisons across taxa and ecosystems, we discuss the importance of a cross-scale approach to better characterize the ways in which climate change processes threaten wildlife immunity. Centering available examples from the vertebrate wildlife literature, we supplement with examples from the livestock literature to illustrate ways in which abiotic stress impacts immunity from molecular to community scales of biological organization. To highlight opportunities for cross-scale integration, we present a series of vignettes-drought, temperature extremes, storms and flooding, and habitat alterations and shifts-prior to discussing the complexities inherent to studying multiple interacting threats using heavy metal contamination as an example. Finally, we outline mechanisms by which collaborations across disciplines and sectors can continue strengthening capacity for studying the drivers of climate change-associated threats to wildlife immunology.

Indexed as

Animals, WildClimate ChangeVertebratesAnimalsEcosystemStress, Physiological

Identifiers

PMID40833629
PMCPMC12690477

What OpenQuestion holds

Textmetadata
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.