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Bird mortality due to the Deepwater Horizon oil spill: Comment on Haney et al. (2014a, b)

机译:由于“深水地平线”漏油事件造成的鸟类死亡:对Haney等人的评论。 (2014a,b)

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摘要

Haney et al. (2014a, b; Mar Ecol Prog Ser 513:225-237, 239-252) developed probability models to estimate seabird mortality from oil exposure during the Deepwater Horizon oil spill. Although frequently used to characterize avian mortality following oil spills, probability models often yield uncertain results when developed without spill-and/or region-specific data. Models based on observations of beached carcasses or exposure/mortality scenarios are sensitive to variations in assumptions and methods used to summarize data sets for model parameterization and validation. Here we present alternative parameter estimates derived from spill-and Gulf of Mexico (GoM)-specific data, and offer suggestions for reducing model uncertainty. As a primary example, we evaluate the carcass transport probability to shorelines using GoM-specific data collected in 2011 to show that Haney et al. underestimated this probability by more than an order of magnitude, thus inflating mortality estimates.
机译:Haney等。 (2014a,b; Mar Ecol Prog Ser 513:225-237,239-252)开发了概率模型,以估计“深水地平线”漏油期间因暴露于石油而造成的海鸟死亡率。尽管经常用于描述溢油事故后禽类死亡的特征,但概率模型在没有溢油和/或地区特定数据的情况下开发时往往会产生不确定的结果。基于观察到的尸体残骸或暴露/死亡场景的模型对用于汇总数据集以进行模型参数化和验证的假设和方法的变化敏感。在这里,我们介绍了从泄漏和墨西哥湾(GoM)特定数据得出的替代参数估计值,并提供了减少模型不确定性的建议。作为一个主要的例子,我们使用2011年收集的GoM特定数据评估了cas体向海岸线的运输可能性,以证明Haney等人。低估了这种可能性一个数量级以上,从而夸大了死亡率估计。

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