OSPAR standard method and software for statistical analysis of beach litter data

被引：38

作者：

Schulz, Marcus ^{[1
]}

van Loon, Willem ^{[2
]}

Fleet, David M. ^{[3
]}

Baggelaar, Paul ^{[4
]}

van der Meulen, Eit ^{[5
]}

机构：

[1] AquaEcol GmbH & Co KG, Marie Curie Str 1, D-26129 Oldenburg, Germany

[2] Minist Infrastruct & Environm, Rijkswaterstaat, Lelystad, Netherlands

[3] Schleswig Holstein Agcy Coastal Def, Natl Pk & Marine Conservat,Schlossgarten 1, D-25832 Tonning, Germany

[4] AMO Icastat, Niagara 18, NL-1186 JP Amstelveen, Netherlands

[5] AMO Icastat, Deldenerstr 81, NL-7551 AC Hengelo, Netherlands

来源：

MARINE POLLUTION BULLETIN | 2017年 / 122卷 / 1-2期

关键词：

Beach litter monitoring; Assessment; OSPAR; MSFD; Litter Analyst; Statistical software; NORTH-SEA; PLASTIC DEBRIS; COAST; POLLUTION;

D O I：

10.1016/j.marpolbul.2017.06.045

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

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 tailormade 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.

引用

页码：166 / 175

页数：10

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