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Quantities of Marine Debris Ingested by Sea Turtles: Global Meta-Analysis Highlights Need for Standardized Data Reporting Methods and Reveals Relative Risk

机译：海龟摄取的海洋碎片量：全球荟萃分析亮点需要标准化数据报告方法，并揭示相对风险

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1. Quantities of Marine Debris Ingested by Sea Turtles: Global Meta-Analysis Highlights Need for Standardized Data Reporting Methods and Reveals Relative Risk [J] . Lynch Jennifer M. Environmental Science & Technology . 2018,第21期

机译：海龟摄入的海洋垃圾的数量：全球荟萃分析突出了对标准化数据报告方法的需求，并揭示了相对风险
2. Risk analysis reveals global hotspots for marine debris ingestion by sea turtles [J] . Schuyler Qamar A., Wilcox Chris, Townsend Kathy A., Global change biology . 2016,第2期

机译：风险分析揭示了全球海龟吞食海洋垃圾的热点
3. Risk assessment reveals high exposure of sea turtles to marine debris in French Mediterranean and metropolitan Atlantic waters [J] . Darmon Gaelle, Miaud Claude, Claro Francoise, Deep-Sea Research . 2017,第jula期

机译：风险评估显示，法国地中海和大都市大西洋海域的海龟高度暴露于海洋垃圾中
4. Development of the Method for the Appropriate Selection of the Successor by Applying Metadata to the Standardization Reports and Members [C] . Isaac Okada, Minoru Saito, Yoshiaki Oida, Joint international semantic technology conference . 2013

机译：该方法的建立为接班人的合适的选择通过将元数据应用到标准化报告和会员
5. Applying Recurrence Quantification Analysis Methods for the Analysis of Global Reanalysis and Model Data to Reveal the Local Oscillations of Multiple African Easterly Waves During 2006 [D] . Reyes, Tiffany Amber Lynn. 2018

机译：应用复发量化分析方法，以分析全球再分析和模型数据，揭示2006年多年期珊瑚礁的本地振荡
6. Global Analysis of Anthropogenic Debris Ingestion by Sea Turtles [O] . Qamar Schuyler, Britta Denise Hardesty, Chris Wilcox, -1

机译：海龟摄入人为碎片的全球分析
7. Risk analysis reveals global hotspots for marine debris ingestion by sea turtles. [O] . Schuyler QA, Wilcox C, Townsend KA, 2015

机译：风险分析揭示了海龟吸收海洋垃圾的全球热点。
8. Impairments, Diseases, Age and Their Relative Risks of Accident Involvement: Results from Meta-Analysis [R] . Vaa, T. 2003

机译：事故参与的损害，疾病，年龄及其相对风险：meta分析的结果

Quantities of Marine Debris Ingested by Sea Turtles: Global Meta-Analysis Highlights Need for Standardized Data Reporting Methods and Reveals Relative Risk

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