Evidence map›Paper›PMID 41234789›Full record

ArticleRoyal Society open science2025

Seasonal coat-colour moulting phenology of snowshoe hares in a Yukon boreal forest undergoing climate change.

Yadav P Ghimirey, Alice J Kenney, Charles J Krebs, Madan K Oli

Abstract read
In one paragraph

Article in Royal Society open science, 2025. 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.

Yadav P GhimireyDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA.ORCID https://orcid.org/0000-0001-5518-0852
Alice J KenneyDepartment of Zoology, University of British Columbia, Vancouver, British Columbia, Canada.
Charles J KrebsDepartment of Zoology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0002-2058-2533
Madan K OliDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA.ORCID https://orcid.org/0000-0001-6944-0061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is slowly influencing boreal forest ecosystems, with rising temperatures and altered snow conditions driving phenological shifts in many plant and animal species. Using 7 years (2016-2022) of camera trap data from the Kluane Lake region, Yukon, we quantified seasonal moulting phenology and coat-colour mismatch in snowshoe hares. Autumn moult started between 28 September and 3 October and completed between 5 and 11 November, with the mean moult duration ranging from 36 to 43 days. Spring moult initiated between 12 April and 27 April and completed between 16 May and 27 May, with moult duration ranging from 24 to 38 days. Contrary to our expectations, there was no evidence of delayed or advanced moulting phenology over this 7-year period. The mismatch between snowshoe hare coat colour and background showed an increasing trend and average whiteness of the snowshoe hare coat in autumn declined. Temperature and snow variables influenced various aspects of seasonal moulting phenology, in some cases in the opposite direction. Long-term studies utilizing intrinsic and high-resolution microclimatic data and behavioural observations are needed to understand how moulting phenology and mismatch affect predator-prey dynamics and snowshoe hare demography and population dynamics as climate change continues.

Indexed as

boreal forestclimate changecoat-colour mismatchLepus americanuslocal climate dynamicsmoulting

Identifiers

PMID41234789
PMCPMC12606214

What OpenQuestion holds

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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.