Evidence map›Paper›PMID 33956835›Full record

ArticlePloS one2021

Aerial survey estimates of polar bears and their tracks in the Chukchi Sea.

Paul B Conn, Vladimir I Chernook, Erin E Moreland, Irina S Trukhanova, Eric V Regehr, Alexander N Vasiliev, Ryan R Wilson, Stanislav E Belikov, Peter L Boveng

Abstract read
In one paragraph

Article in PloS one, 2021. 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. Article
  2. Article
  3. Article
  4. Demographic risk assessment for a harvested species threatened by climate change: polar bears in the Chukchi Sea.Ecological applications : a publication of the Ecological Society of America · 2021
    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.

Paul B ConnAlaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, United States of America.ORCID 0000-0002-2801-299X
Vladimir I ChernookEcological Center, Autonomous Non-Commercial Organization, Saint-Petersburg, Russia.
Erin E MorelandAlaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, United States of America.
Irina S TrukhanovaNorth Pacific Wildlife Consulting, LLC, Seattle, Washington, United States of America.ORCID 0000-0001-9058-4481
Eric V RegehrMarine Mammals Management, United States Fish and Wildlife Service, Anchorage, Alaska, United States of America.
Alexander N VasilievEcological Center, Autonomous Non-Commercial Organization, Saint-Petersburg, Russia.
Ryan R WilsonMarine Mammals Management, United States Fish and Wildlife Service, Anchorage, Alaska, United States of America.
Stanislav E BelikovAll-Russian Research Institute for Nature Protection (Federal State Budgetary Institution), Moscow, Russia.
Peter L BovengAlaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polar bears are of international conservation concern due to climate change but are difficult to study because of low densities and an expansive, circumpolar distribution. In a collaborative U.S.-Russian effort in spring of 2016, we used aerial surveys to detect and estimate the abundance of polar bears on sea ice in the Chukchi Sea. Our surveys used a combination of thermal imagery, digital photography, and human observations. Using spatio-temporal statistical models that related bear and track densities to physiographic and biological covariates (e.g., sea ice extent, resource selection functions derived from satellite tags), we predicted abundance and spatial distribution throughout our study area. Estimates of 2016 abundance ([Formula: see text]) ranged from 3,435 (95% CI: 2,300-5,131) to 5,444 (95% CI: 3,636-8,152) depending on the proportion of bears assumed to be missed on the transect line during Russian surveys (g(0)). Our point estimates are larger than, but of similar magnitude to, a recent estimate for the period 2008-2016 ([Formula: see text]; 95% CI 1,522-5,944) derived from an integrated population model applied to a slightly smaller area. Although a number of factors (e.g., equipment issues, differing platforms, low sample sizes, size of the study area relative to sampling effort) required us to make a number of assumptions to generate estimates, it establishes a useful lower bound for abundance, and suggests high spring polar bear densities on sea ice in Russian waters south of Wrangell Island. With future improvements, we suggest that springtime aerial surveys may represent a plausible avenue for studying abundance and distribution of polar bears and their prey over large, remote areas.

Indexed as

UrsidaeAnimalsArctic RegionsFemaleMalePopulation DensitySpatio-Temporal Analysis

Identifiers

PMID33956835
PMCPMC8101751

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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.