4.7 Article

Climate change threatens polar bear populations: a stochastic demographic analysis

Journal

ECOLOGY
Volume 91, Issue 10, Pages 2883-2897

Publisher

WILEY
DOI: 10.1890/09-1641.1

Keywords

climate change; demography; IPCC; LTRE analysis; matrix population models; polar bear; sea ice; stochastic growth rate; stochastic models; Ursus maritimus

Categories

Funding

  1. U.S. Geological Survey
  2. National Science Foundation [DEB-0343820, DEB-0816514]
  3. NOAA
  4. Ocean Life Institute at WHOI
  5. Arctic Research Initiative at WHOI
  6. Institute of Arctic Biology at the University of Alaska-Fairbanks
  7. Canadian Wildlife Service
  8. Department of Environment and Natural Resources of the Government of the Northwest Territories
  9. Polar Continental Shelf Project, Ottawa, Canada
  10. Direct For Biological Sciences
  11. Division Of Environmental Biology [0816514] Funding Source: National Science Foundation

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The polar bear (Ursus maritimus) depends on sea ice for feeding, breeding, and movement. Significant reductions in Arctic sea ice are forecast to continue because of climate warming. We evaluated the impacts of climate change on polar bears in the southern Beaufort Sea by means of a demographic analysis, combining deterministic, stochastic, environment-dependent matrix population models with forecasts of future sea ice conditions from IPCC general circulation models (GCMs). The matrix population models classified individuals by age and breeding status; mothers and dependent cubs were treated as units. Parameter estimates were obtained from a capture-recapture study conducted from 2001 to 2006. Candidate statistical models allowed vital rates to vary with time and as functions of a sea ice covariate. Model averaging was used to produce the vital rate estimates, and a parametric bootstrap procedure was used to quantify model selection and parameter estimation uncertainty. Deterministic models projected population growth in years with more extensive ice coverage (2001-2003) and population decline in years with less ice coverage (2004-2005). LTRE (life table response experiment) analysis showed that the reduction in lambda in years with low sea ice was due primarily to reduced adult female survival, and secondarily to reduced breeding. A stochastic model with two environmental states, good and poor sea ice conditions, projected a declining stochastic growth rate, log lambda(s), as the frequency of poor ice years increased. The observed frequency of poor ice years since 1979 would imply log lambda(s) approximate to -0.01, which agrees with available (albeit crude) observations of population size. The stochastic model was linked to a set of 10 GCMs compiled by the IPCC; the models were chosen for their ability to reproduce historical observations of sea ice and were forced with business as usual (A1B) greenhouse gas emissions. The resulting stochastic population projections showed drastic declines in the polar bear population by the end of the 21st century. These projections were instrumental in the decision to list the polar bear as a threatened species under the U. S. Endangered Species Act.

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