Literature DB >> 27755745

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

Nicholas J Lunn1, Sabrina Servanty2,3, Eric V Regehr4, Sarah J Converse3, Evan Richardson1, Ian Stirling1,5.   

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.
© 2016 by the Ecological Society of America.

Entities:  

Keywords:  zzm321990Ursus maritimuszzm321990; Bayesian; Hudson Bay, Canada; abundance; climate change; multistate capture-recapture; polar bear (Ursus maritimus); population growth rate; reproduction; sea ice; survival

Mesh:

Year:  2016        PMID: 27755745     DOI: 10.1890/15-1256

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  18 in total

1.  Habitat degradation affects the summer activity of polar bears.

Authors:  Jasmine V Ware; Karyn D Rode; Jeffrey F Bromaghin; David C Douglas; Ryan R Wilson; Eric V Regehr; Steven C Amstrup; George M Durner; Anthony M Pagano; Jay Olson; Charles T Robbins; Heiko T Jansen
Journal:  Oecologia       Date:  2017-02-28       Impact factor: 3.225

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

Authors:  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
Journal:  PLoS One       Date:  2021-05-06       Impact factor: 3.240

3.  Fatty acid profiles of feeding and fasting bears: estimating calibration coefficients, the timeframe of diet estimates, and selective mobilization during hibernation.

Authors:  Gregory W Thiemann; Karyn D Rode; Joy A Erlenbach; Suzanne M Budge; Charles T Robbins
Journal:  J Comp Physiol B       Date:  2021-10-23       Impact factor: 2.200

4.  Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data.

Authors:  Nathan J Hostetter; Nicholas J Lunn; Evan S Richardson; Eric V Regehr; Sarah J Converse
Journal:  PLoS One       Date:  2021-06-09       Impact factor: 3.752

5.  Demographic risk assessment for a harvested species threatened by climate change: polar bears in the Chukchi Sea.

Authors:  Eric V Regehr; Michael C Runge; Andrew Von Duyke; Ryan R Wilson; Lori Polasek; Karyn D Rode; Nathan J Hostetter; Sarah J Converse
Journal:  Ecol Appl       Date:  2021-10-26       Impact factor: 6.105

6.  Using simulation to evaluate wildlife survey designs: polar bears and seals in the Chukchi Sea.

Authors:  Paul B Conn; Erin E Moreland; Eric V Regehr; Erin L Richmond; Michael F Cameron; Peter L Boveng
Journal:  R Soc Open Sci       Date:  2016-01-27       Impact factor: 2.963

7.  Demographic, ecological, and physiological responses of ringed seals to an abrupt decline in sea ice availability.

Authors:  Steven H Ferguson; Brent G Young; David J Yurkowski; Randi Anderson; Cornelia Willing; Ole Nielsen
Journal:  PeerJ       Date:  2017-02-02       Impact factor: 2.984

8.  Harvesting wildlife affected by climate change: a modelling and management approach for polar bears.

Authors:  Eric V Regehr; Ryan R Wilson; Karyn D Rode; Michael C Runge; Harry L Stern
Journal:  J Appl Ecol       Date:  2017-03-08       Impact factor: 6.528

9.  Bordetella bronchiseptica-reactive antibodies in Canadian polar bears.

Authors:  John Ellis; Sheryl Gow; Nicholas Pilfold; Stacey Lacoste; Nicholas J Lunn; Evan S Richardson; David McGeachy; Megan Owen; Bruce Rideout
Journal:  Can Vet J       Date:  2021-07       Impact factor: 1.008

10.  Habitat-mediated timing of migration in polar bears: an individual perspective.

Authors:  Seth G Cherry; Andrew E Derocher; Nicholas J Lunn
Journal:  Ecol Evol       Date:  2016-06-26       Impact factor: 2.912

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