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Demography of an apex predator at the edge of its range: impacts of changing sea ice on polar bears in Hudson Bay

Overview of attention for article published in Ecological Applications, July 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 3,531)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
20 news outlets
blogs
4 blogs
policy
1 policy source
twitter
15 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
167 Mendeley
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Title
Demography of an apex predator at the edge of its range: impacts of changing sea ice on polar bears in Hudson Bay
Published in
Ecological Applications, July 2016
DOI 10.1890/15-1256
Pubmed ID
Authors

Nicholas J Lunn, Sabrina Servanty, Eric V Regehr, Sarah J Converse, Evan Richardson, Ian Stirling

Abstract

Changes in the abundance and distribution of wildlife populations are common consequences of historic and contemporary climate change. Some Arctic marine mammals, such as the polar bear (Ursus maritimus), may be particularly vulnerable to such changes due to the loss of Arctic sea ice. We evaluated the impacts of environmental variation on demographic rates for the Western Hudson Bay (WH), polar bear subpopulation from 1984 to 2011 using live-recapture and dead-recovery data in a Bayesian implementation of multistate capture-recapture models. We found that survival of female polar bears was related to the annual timing of sea ice break-up and formation. Using estimated vital rates (e.g., survival and reproduction) in matrix projection models, we calculated the growth rate of the WH subpopulation and projected population responses under different environmental scenarios while accounting for parametric uncertainty, temporal variation, and demographic stochasticity. Our analysis suggested a long-term decline in the number of bears from 1185 (95% Bayesian credible interval [BCI] = 993-1411) in 1987 to 806 (95% BCI = 653-984) in 2011. In the last 10 yr of the study, the number of bears appeared stable due to temporary stability in sea ice conditions (mean population growth rate for the period 2001-2010 = 1.02, 95% BCI = 0.98-1.06). Looking forward, we estimated long-term growth rates for the WH subpopulation of ~1.02 (95% BCI = 1.00-1.05) and 0.97 (95% BCI = 0.92-1.01) under hypothetical high and low sea ice conditions, respectively. Our findings support previous evidence for a demographic linkage between sea ice conditions and polar bear population dynamics. Furthermore, we present a robust framework for sensitivity analysis with respect to continued climate change (e.g., to inform scenario planning) and for evaluating the combined effects of climate change and management actions on the status of wildlife populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 166 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 25 15%
Student > Master 24 14%
Researcher 22 13%
Student > Ph. D. Student 21 13%
Other 8 5%
Other 22 13%
Unknown 45 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 38%
Environmental Science 35 21%
Business, Management and Accounting 4 2%
Biochemistry, Genetics and Molecular Biology 4 2%
Physics and Astronomy 3 2%
Other 10 6%
Unknown 47 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 198. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 October 2023.
All research outputs
#202,998
of 26,017,215 outputs
Outputs from Ecological Applications
#27
of 3,531 outputs
Outputs of similar age
#3,928
of 376,748 outputs
Outputs of similar age from Ecological Applications
#2
of 51 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 376,748 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.