Evidence map›Paper›PMID 40990040›Full record

ArticleGlobal change biology2025

Snow Avalanches and the Impact of Climate-Linked Extreme Events on Mountain Wildlife Population Dynamics and Resilience.

Kevin S White, Taal Levi, Eran Hood, Chris T Darimont

Abstract read
In one paragraph

Article in Global change biology, 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. 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

4 authors.

Kevin S WhiteProgram on the Environment, Department of Natural Sciences, University of Alaska Southeast, Juneau, Alaska, USA.ORCID 0000-0002-5231-6045
Taal LeviDepartment of Fisheries, Wildlife and Conservation Sciences, Oregon State University, Corvallis, Oregon, USA.
Eran HoodProgram on the Environment, Department of Natural Sciences, University of Alaska Southeast, Juneau, Alaska, USA.
Chris T DarimontDepartment of Geography, University of Victoria, Victoria, British Columbia, Canada.

Funding

Alaska Climate Adaptation Science Center, University of Alaska FairbanksAlaska Department of Fish and GameAlaska Department of Transportation and Public FacilitiesCity and Borough of SitkaCoeur Alaska Inc.U.S. Bureau of Land ManagementWild Sheep Foundation
6 · The paper itself

Abstract

Climate is changing rapidly in mountain environments, giving rise to increasing variability in weather, incidence of extreme events, and alteration of the cryosphere. Natural hazards, such as snow avalanches, and the ecological communities they impact may be particularly sensitive to such change. While avalanches may impose both 'good' and 'bad' effects on mountain ecosystems, the direct impacts that lead to mortality have particularly important implications for future viability and resilience of slow-growing alpine wildlife populations. Here, we studied a sentinel species of coastal Alaskan mountain environments-the mountain goat (Oreamnos americanus) - using long-term field data from individually marked animals (600 individuals over 44 years) in a quantitative modeling framework to understand how avalanches influence demographic processes. Specifically, we developed and parameterized a sex- and age-specific population modeling approach to simulate the effects of avalanche-caused mortality on population growth rate (λ). We examined a range of ecologically relevant scenarios based on empirically observed states of avalanche-caused mortality. During years when avalanche impacts are severe, populations can experience significant additive mortality and population declines (up to 15%). Due to low reproductive rates, such impacts can lead to long demographic recovery times (up to 11 years, or ~1.5 mountain goat generations). Thus, during the course of a typical mountain goat lifetime, significant avalanche-linked perturbations can be expected to occur, suggesting that meaningful demographic signatures of avalanche impacts are generationally recurrent and routinely imbedded in population histories. From a conservation perspective, such impacts are striking and highlight the utility of employing a quantitative modeling approach to predict possible effects of avalanches and extreme events more broadly on mountain ungulate population dynamics and viability. Our work explicitly builds upon recent findings about the importance of avalanches on mountain-adapted animal populations and has implications for the cultural and ecological communities that depend on them.

Indexed as

Climate ChangeRuminantsSnowAlaskaAnimalsEcosystemFemaleMalePopulation DynamicsAlaskaavalancheclimate changeextreme eventsmountain goatOreamnos americanuspopulation modelingsnow

Identifiers

PMID40990040
PMCPMC12457988

What OpenQuestion holds

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Registered trials

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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.