Evidence map›Paper›PMID 32813753›Full record

ArticlePloS one2020

Identifying reliable indicators of fitness in polar bears.

Karyn D Rode, Todd C Atwood, Gregory W Thiemann, Michelle St Martin, Ryan R Wilson, George M Durner, Eric V Regehr, Sandra L Talbot, George K Sage, Anthony M Pagano and 1 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Karyn D RodeU.S. Geological Survey, Alaska Science Center, Anchorage, Alaska, United States of America.ORCID 0000-0002-3328-8202
Todd C AtwoodU.S. Geological Survey, Alaska Science Center, Anchorage, Alaska, United States of America.
Gregory W ThiemannFaculty of Environmental Studies, York University, Toronto, Ontario, Canada.
Michelle St MartinU.S. Fish and Wildlife Service, Marine Mammals Management, Anchorage, Alaska, United States of America.
Ryan R WilsonU.S. Fish and Wildlife Service, Marine Mammals Management, Anchorage, Alaska, United States of America.
George M DurnerU.S. Geological Survey, Alaska Science Center, Anchorage, Alaska, United States of America.ORCID 0000-0002-3370-1191
Eric V RegehrUniversity of Washington, Polar Science Center, Seattle, Washington, United States of America.
Sandra L TalbotU.S. Geological Survey, Alaska Science Center, Anchorage, Alaska, United States of America.
George K SageU.S. Geological Survey, Alaska Science Center, Anchorage, Alaska, United States of America.
Anthony M PaganoU.S. Geological Survey, Alaska Science Center, Anchorage, Alaska, United States of America.ORCID 0000-0003-2176-0909
Kristin S SimacU.S. Geological Survey, Alaska Science Center, Anchorage, Alaska, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal structural body size and condition are often measured to evaluate individual health, identify responses to environmental change and food availability, and relate food availability to effects on reproduction and survival. A variety of condition metrics have been developed but relationships between these metrics and vital rates are rarely validated. Identifying an optimal approach to estimate the body condition of polar bears is needed to improve monitoring of their response to decline in sea ice habitat. Therefore, we examined relationships between several commonly used condition indices (CI), body mass, and size with female reproductive success and cub survival among polar bears (Ursus maritimus) measured in two subpopulations over three decades. To improve measurement and application of morphometrics and CIs, we also examined whether CIs are independent of age and structural size-an important assumption for monitoring temporal trends-and factors affecting measurement precision and accuracy. Maternal CIs and mass measured the fall prior to denning were related to cub production. Similarly, maternal CIs, mass, and length were related to the mass of cubs or yearlings that accompanied her. However, maternal body mass, but not CIs, measured in the spring was related to cub production and only maternal mass and length were related to the probability of cub survival. These results suggest that CIs may not be better indicators of fitness than body mass in part because CIs remove variation associated with body size that is important in affecting fitness. Further, CIs exhibited variable relationships with age for growing bears and were lower for longer bears despite body length being related to cub survival and female reproductive success. These results are consistent with findings from other species indicating that body mass is a useful metric to link environmental conditions and population dynamics.

Indexed as

Body SizeAnimalsArctic RegionsBreedingEcosystemFemaleMaleOceans and SeasReproductionSeasonsUrsidae

Identifiers

PMID32813753
PMCPMC7437918

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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.