Evidence map›Paper›PMID 31925853›Full record

ArticleEcological applications : a publication of the Ecological Society of America2020

Interrelated ecological impacts of climate change on an apex predator.

Kristin L Laidre, Stephen Atkinson, Eric V Regehr, Harry L Stern, Erik W Born, Øystein Wiig, Nicholas J Lunn, Markus Dyck

Open access · hybridAbstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.7field-weighted citation impact, top 2% of its field
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

16 citing papers in PubMed, 74 citations in OpenAlex.

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  8. Key questions in marine mammal bioenergetics.Conservation physiology · 2022
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  14. Interrelated ecological impacts of climate change on an apex predator.Ecological applications : a publication of the Ecological Society of America · 2020
    Article
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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

8 authors at 5 institutions in 4 countries.

Kristin L LaidrePolar Science Center, Applied Physics Laboratory, University of Washington, Seattle, Washington, 98105, USA.ORCID 0000-0002-2787-650X
Stephen AtkinsonWildlife Research Section, Department of Environment, Government of Nunavut, P.O. Box 209, Igloolik, Nunavut, X0A 0L0, Canada.
Eric V RegehrPolar Science Center, Applied Physics Laboratory, University of Washington, Seattle, Washington, 98105, USA.ORCID 0000-0003-4487-3105
Harry L SternPolar Science Center, Applied Physics Laboratory, University of Washington, Seattle, Washington, 98105, USA.ORCID 0000-0003-4871-7708
Erik W BornGreenland Institute of Natural Resources, P.O. Box 570, 3900, Nuuk, Greenland.
Øystein WiigNatural History Museum, University of Oslo, P.O. Box 1172, Blindern, N-0318, Oslo, Norway.
Nicholas J LunnEnvironment and Climate Change Canada, CW-422 Biological Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2E9, Canada.ORCID 0000-0003-0189-5494
Markus DyckWildlife Research Section, Department of Environment, Government of Nunavut, P.O. Box 209, Igloolik, Nunavut, X0A 0L0, Canada.
University of Washington · USGovernment of Nunavut · CAEnvironment and Climate Change Canada · CAGrønlands Naturinstitut · GLUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change has broad ecological implications for species that rely on sensitive habitats. For some top predators, loss of habitat is expected to lead to cascading behavioral, nutritional, and reproductive changes that ultimately accelerate population declines. In the case of the polar bear (Ursus maritimus), declining Arctic sea ice reduces access to prey and lengthens seasonal fasting periods. We used a novel combination of physical capture, biopsy darting, and visual aerial observation data to project reproductive performance for polar bears by linking sea ice loss to changes in habitat use, body condition (i.e., fatness), and cub production. Satellite telemetry data from 43 (1991-1997) and 38 (2009-2015) adult female polar bears in the Baffin Bay subpopulation showed that bears now spend an additional 30 d on land (90 d in total) in the 2000s compared to the 1990s, a change closely correlated with changes in spring sea ice breakup and fall sea ice formation. Body condition declined for all sex, age, and reproductive classes and was positively correlated with sea ice availability in the current and previous year. Furthermore, cub litter size was positively correlated with maternal condition and spring breakup date (i.e., later breakup leading to larger litters), and negatively correlated with the duration of the ice-free period (i.e., longer ice-free periods leading to smaller litters). Based on these relationships, we projected reproductive performance three polar bear generations into the future (approximately 35 yr). Results indicate that two-cub litters, previously the norm, could largely disappear from Baffin Bay as sea ice loss continues. Our findings demonstrate how concurrent analysis of multiple data types collected over long periods from polar bears can provide a mechanistic understanding of the ecological implications of climate change. This information is needed for long-term conservation planning, which includes quantitative harvest risk assessments that incorporate estimated or assumed trends in future environmental carrying capacity.

Indexed as

Climate ChangeUrsidaeAnimalsArctic RegionsEcosystemFemaleIce CoverPregnancyArcticbody conditionclimate changegenetic mark-recaptureGreenlandNunavutpolar bearreproductionsea ice

Identifiers

PMID31925853
PMCPMC7317597
OpenAlexW2999802861

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.