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Risk analysis reveals global hotspots for marine debris ingestion by sea turtles

机译:风险分析揭示了全球海龟吞食海洋垃圾的热点

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Plastic marine debris pollution is rapidly becoming one of the critical environmental concerns facing wildlife in the 21st century. Here we present a risk analysis for plastic ingestion by sea turtles on a global scale. We combined global marine plastic distributions based on ocean drifter data with sea turtle habitat maps to predict exposure levels to plastic pollution. Empirical data from necropsies of deceased animals were then utilised to assess the consequence of exposure to plastics. We modelled the risk (probability of debris ingestion) by incorporating exposure to debris and consequence of exposure, and included life history stage, species of sea turtle and date of stranding observation as possible additional explanatory factors. Life history stage is the best predictor of debris ingestion, but the best-fit model also incorporates encounter rates within a limited distance from stranding location, marine debris predictions specific to the date of the stranding study and turtle species. There is no difference in ingestion rates between stranded turtles vs. those caught as bycatch from fishing activity, suggesting that stranded animals are not a biased representation of debris ingestion rates in the background population. Oceanic life-stage sea turtles are at the highest risk of debris ingestion, and olive ridley turtles are the most at-risk species. The regions of highest risk to global sea turtle populations are off of the east coasts of the USA, Australia and South Africa; the east Indian Ocean, and Southeast Asia. Model results can be used to predict the number of sea turtles globally at risk of debris ingestion. Based on currently available data, initial calculations indicate that up to 52% of sea turtles may have ingested debris.
机译:海洋塑料垃圾的污染正迅速成为21世纪野生生物面临的重要环境问题之一。在这里,我们介绍了全球范围内海龟吞食塑料的风险分析。我们将基于海洋漂泊者数据的全球海洋塑料分布与海龟栖息地地图相结合,以预测塑料污染的暴露水平。然后,将死者尸检的经验数据用于评估接触塑料的后果。我们通过结合暴露于碎片的风险和暴露的后果对风险(碎片摄入的可能性)进行了建模,并包括了生命史阶段,海龟种类和搁浅观察日期作为可能的附加解释因素。生命史阶段是碎片摄入的最佳预测因子,但最佳拟合模型还结合了距搁浅位置有限距离内的遭遇率,特定于搁浅研究日期的海洋垃圾预测以及海龟种类。搁浅的海龟与因钓鱼而被兼捕的海龟之间的摄入率没有差异,这表明搁浅的动物不是背景种群中垃圾摄入率的有偏差的代表。处于海洋生命阶段的海龟被食入碎片的风险最高,而橄榄色ridley龟则是风险最高的物种。全球海龟种群风险最高的地区位于美国,澳大利亚和南非的东海岸之外;东印度洋和东南亚。模型结果可用于预测全球有碎片吞食风险的海龟数量。根据目前可获得的数据,初步计算表明,多达52%的海龟可能已摄入了碎片。

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