A multi-criteria evaluation system for marine litter pollution based on statistical analyses of OSPAR beach litter monitoring time series.

Mar Environ Res

Institute of Environmental Systems Research (USF), University of Osnabrueck, Barbarastrasse 12, 49076 Osnabrueck, Germany. Electronic address:

Published: December 2013

AI Article Synopsis

  • Marine pollution from human-made litter has become a major global environmental issue, prompting standardized monitoring on 78 beaches since 2001.
  • A two-part evaluation system was developed to assess beach litter pollution in the North-East Atlantic and the North Sea, utilizing various statistical analyses to identify trends and classify beach conditions.
  • The system simplifies the assessment process by using established classifications and significant trends based on correlation analyses.

Article Abstract

During the last decades, marine pollution with anthropogenic litter has become a worldwide major environmental concern. Standardized monitoring of litter since 2001 on 78 beaches selected within the framework of the Convention for the Protection of the Marine Environment of the North-East Atlantic (OSPAR) has been used to identify temporal trends of marine litter. Based on statistical analyses of this dataset a two-part multi-criteria evaluation system for beach litter pollution of the North-East Atlantic and the North Sea is proposed. Canonical correlation analyses, linear regression analyses, and non-parametric analyses of variance were used to identify different temporal trends. A classification of beaches was derived from cluster analyses and served to define different states of beach quality according to abundances of 17 input variables. The evaluation system is easily applicable and relies on the above-mentioned classification and on significant temporal trends implied by significant rank correlations.

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Source
http://dx.doi.org/10.1016/j.marenvres.2013.08.013DOI Listing

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