| DOI: | 10.1016/j.marpolbul.2017.06.045
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| Scopus记录号: | 2-s2.0-85020902291
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| 论文题名: | OSPAR standard method and software for statistical analysis of beach litter data |
| 作者: | Schulz M.; van Loon W.; Fleet D.M.; Baggelaar P.; van der Meulen E.
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| 刊名: | Marine Pollution Bulletin
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| ISSN: | 0025-326X
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| EISSN: | 1879-3363
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| 出版年: | 2017
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| 卷: | 122, 期:2018-01-02 | | 起始页码: | 166
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| 结束页码: | 175
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| 语种: | 英语
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| 英文关键词: | Assessment
; Beach litter monitoring
; Litter Analyst
; MSFD
; OSPAR
; Statistical software
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| Scopus关键词: | Application programs
; Beaches
; Statistics
; Assessment
; Litter Analyst
; MSFD
; OSPAR
; Statistical software
; Statistical methods
; assessment method
; beach
; environmental monitoring
; software
; spatial variation
; statistical analysis
; trend analysis
; monitoring
; North Sea
; seashore
; software
; statistical analysis
; statistics
; environmental monitoring
; swimming
; waste
; Atlantic Ocean
; North Sea
; Bathing Beaches
; Environmental Monitoring
; Garbage
; North Sea
; Software
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| Scopus学科分类: | Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
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| 英文摘要: | The aim of this study is to develop standard statistical methods and software for the analysis of beach litter data. The optimal ensemble of statistical methods comprises the Mann-Kendall trend test, the Theil-Sen slope estimation, the Wilcoxon step trend test and basic descriptive statistics. The application of Litter Analyst, a tailor-made software for analysing the results of beach litter surveys, to OSPAR beach litter data from seven beaches bordering on the south-eastern North Sea, revealed 23 significant trends in the abundances of beach litter types for the period 2009–2014. Litter Analyst revealed a large variation in the abundance of litter types between beaches. To reduce the effects of spatial variation, trend analysis of beach litter data can most effectively be performed at the beach or national level. Spatial aggregation of beach litter data within a region is possible, but resulted in a considerable reduction in the number of significant trends. © 2017 Elsevier Ltd |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/88179
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| Appears in Collections: | 过去全球变化的重建
全球变化的国际研究计划
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作者单位: | AquaEcology GmbH & Co. KG, Marie-Curie-Str. 1, Oldenburg, Germany; Rijkswaterstaat, Ministry of Infrastructure and Environment, Netherlands; The Schleswig-Holstein Agency for Coastal Defence, National Park and Marine Conservation, Schlossgarten 1, Tönning, Germany; AMO-Icastat, Niagara 18, Amstelveen, Netherlands; AMO-Icastat, Deldenerstraat 81, Hengelo, Netherlands
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| Recommended Citation: | |
Schulz M.,van Loon W.,Fleet D.M.,et al. OSPAR standard method and software for statistical analysis of beach litter data[J]. Marine Pollution Bulletin,2017-01-01,122(2018-01-02)
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