Evidence map›Paper›PMID 39548275›Full record

ArticleCommunications biology2024

Landscape heterogeneity buffers the impact of an extreme weather event on wildlife.

Laura R Prugh, Jessica D Lundquist, Benjamin K Sullender, Calum X Cunningham, Jack Dechow, Bridget L Borg, Pamela J Sousanes, Sarah Stehn, Michael T Durand

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors.

Laura R PrughSchool of Environmental and Forest Sciences, University of Washington, Seattle, WA, USA. lprugh@uw.edu.ORCID 0000-0001-9045-3107
Jessica D LundquistCivil and Environmental Engineering, University of Washington, Seattle, WA, USA.
Benjamin K SullenderSchool of Environmental and Forest Sciences, University of Washington, Seattle, WA, USA.ORCID 0000-0001-9787-916X
Calum X CunninghamSchool of Environmental and Forest Sciences, University of Washington, Seattle, WA, USA.
Jack DechowSchool of Earth Sciences, Ohio State University, Columbus, OH, USA.
Bridget L BorgNational Park Service, Denali National Park and Preserve, Healy, AK, USA.
Pamela J SousanesNational Park Service, Central Alaska Network, Fairbanks, AK, USA.
Sarah StehnNational Park Service, Denali National Park and Preserve, Healy, AK, USA.
Michael T DurandSchool of Earth Sciences, Ohio State University, Columbus, OH, USA.

Funding

National Aeronautics and Space Administration (NASA) 80NSSC20K1291National Aeronautics and Space Administration (NASA) 80NSSC20K1292
6 · The paper itself

Abstract

Extreme weather events are becoming more frequent, with poorly known consequences for wildlife. In December 2021, an atmospheric river brought record-shattering amounts of rain and snow to interior Alaska, creating conditions expected to cause mass mortality in grazing ungulate populations that need to access ground forage. We characterized snowpack conditions following the storm and used a 36-year monitoring dataset to quantify impacts on caribou (Rangifer tarandus) and their primary predator, wolves (Canis lupus). December precipitation was 7.3 SD above the 99-year mean and 2.5-fold higher than the prior record, with a return period of 333 years. However, ice thickness within the snowpack was highly variable across vegetation types, and caribou shifted to use higher elevations that can blow free of snow. Caribou and wolf mortality rates were 1.3-1.8 SD above normal and caribou population growth rates were low but similar to recent years, indicating a surprisingly weak demographic response. These findings indicate that landscape diversity may bolster resistance of wildlife populations to short-term, potentially devastating effects of extreme weather.

Indexed as

Extreme WeatherReindeerWolvesAlaskaAnimalsAnimals, WildEcosystemPopulation DynamicsSnowWeather

Identifiers

PMID39548275
PMCPMC11568218

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.