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Investigating the potential use of aerial line transect surveys for estimating polar bear abundance in sea ice habitats: A case study for the Chukchi Sea

机译:调查空中横断面调查可能用于估计海冰栖息地中北极熊数量的潜力:以楚科奇海为例

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The expense of traditional capture-recapture methods, interest in less invasive survey methods, and the circumpolar decline of polar bear (Ursus maritimus) habitat require evaluation of alternative methods for monitoring polar bear populations. Aerial line transect distance sampling (DS) surveys are thought to be a promising monitoring tool. However, low densities and few observations during a survey can result in low precision, and logistical constraints such as heavy ice and fuel and safety limitations may restrict survey coverage. We used simulations to investigate the accuracy and precision of, DS for estimating polar bear abundance in sea ice habitats, using the Chukchi Sea subpopulation as an example. Simulation parameters were informed from a recent pilot survey. Predictions from a resource selection model were used for stratification, and we compared two ratio estimators to account for areas that cannot be sampled. The ratio estimator using predictions of resource selection by polar bears allowed for extrapolation beyond sampled areas and provided results with low bias and CVs ranging from 21% to 36% when abundance was >1,000. These techniques could be applied to other DS surveys to allocate effort and potentially extrapolate estimates to include portions of the landscape that are logistically impossible to survey.
机译:传统捕获/捕获方法的费用,对侵入性较小的调查方法的兴趣以及北极熊(Ursus maritimus)栖息地的极地下降,需要评估监测北极熊种群的其他方法。空中线样线距离采样(DS)调查被认为是一种有前途的监测工具。但是,调查期间的低密度和很少的观测会导致精度降低,而后勤方面的限制(例如重冰和燃料和安全限制)可能会限制调查范围。我们以楚科奇海亚种群为例,通过模拟研究了DS估算海冰栖息地北极熊数量的准确性和精确度。仿真参数是根据最近的一项初步调查得出的。来自资源选择模型的预测用于分层,并且我们比较了两个比率估计值以说明无法采样的区域。使用北极熊资源选择预测的比率估算器可以外推到采样区域之外,并提供低偏差的结果,当丰度> 1,000时CV范围从21%到36%。这些技术可以应用于其他DS调查,以分配工作量并潜在地推断估计值,以包括逻辑上无法调查的部分景观。

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