Department of Biology and Wildlife, Institute of Arctic Biology, University of Alaska, Fairbanks, Alaska 99775, USA.
Ecology. 2010 Oct;91(10):2883-97. doi: 10.1890/09-1641.1.
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 lambdas, as the frequency of poor ice years increased. The observed frequency of poor ice years since 1979 would imply log lambdas approximately - 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.
北极熊(Ursus maritimus)依赖海冰觅食、繁殖和移动。由于气候变暖,北极海冰的大量减少预计将持续下去。我们通过人口分析评估了气候变化对波弗特海南部地区北极熊的影响,该分析结合了确定性、随机、依赖环境的矩阵种群模型,以及来自 IPCC 通用环流模型(GCM)的未来海冰条件预测。矩阵种群模型根据年龄和繁殖状况对个体进行分类;母亲和依赖的幼崽被视为一个单位。参数估计是从 2001 年至 2006 年进行的一项捕获-再捕获研究中获得的。候选统计模型允许关键比率随时间和海冰协变量的函数而变化。模型平均用于生成关键比率估计,参数 bootstrap 程序用于量化模型选择和参数估计的不确定性。确定性模型预测在冰面覆盖范围更广的年份(2001-2003 年)人口增长,而在冰面覆盖范围较小的年份(2004-2005 年)人口下降。LTRE(生命表响应实验)分析表明,在海冰较少的年份,lambda 的减少主要是由于成年雌北极熊存活率降低,其次是繁殖率降低。具有两种环境状态(海冰条件好和差)的随机模型预测,随着差海冰年份的频率增加,随机增长率(log lambdas)呈下降趋势。自 1979 年以来观察到的差海冰年的频率意味着 log lambdas 约为-0.01,这与现有的(尽管粗略)种群规模观测结果一致。该随机模型与 IPCC 编制的一组 10 个 GCM 相关联;这些模型是根据其重现海冰历史观测的能力选择的,并使用“按现状行事”(A1B)温室气体排放进行了强制。由此产生的随机种群预测显示,到 21 世纪末,北极熊数量将大幅下降。这些预测在美国濒危物种法案(US Endangered Species Act)下将北极熊列为受威胁物种的决定中起到了重要作用。