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Opportunistically collected data from aerial surveys reveal spatio-temporal distribution patterns of marine debris in German waters

Marine debris is known for its ubiquitousness and harmful effects on marine life. This study is the first analysis to provide information on the distribution of floating marine debris in German waters using aerial survey data collected between 2002 and 2016. During regular harbour porpoise monitorin...

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Autores principales: Unger, Bianca, Herr, Helena, Viquerat, Sacha, Gilles, Anita, Burkhardt-Holm, Patricia, Siebert, Ursula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788032/
https://www.ncbi.nlm.nih.gov/pubmed/32895793
http://dx.doi.org/10.1007/s11356-020-10610-9
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author Unger, Bianca
Herr, Helena
Viquerat, Sacha
Gilles, Anita
Burkhardt-Holm, Patricia
Siebert, Ursula
author_facet Unger, Bianca
Herr, Helena
Viquerat, Sacha
Gilles, Anita
Burkhardt-Holm, Patricia
Siebert, Ursula
author_sort Unger, Bianca
collection PubMed
description Marine debris is known for its ubiquitousness and harmful effects on marine life. This study is the first analysis to provide information on the distribution of floating marine debris in German waters using aerial survey data collected between 2002 and 2016. During regular harbour porpoise monitoring flights, 191,167 km were covered and 26,512 floating debris items recorded (average encounter rate 0.1387 items/km). Debris was encountered more often in the North Sea than in the Baltic Sea (0.16 items/km; 0.08 items/km). The average encounter rate was higher in offshore waters than in coastal areas. Overlaps of marine debris distribution with ‘Special Areas of Conservation’ are a particular reason for concern. Moreover, the spring months (March–May) were identified to be the time of the year with the highest average encounter rates for marine debris. Fishing-related debris was shown to contribute up to 25% of the total number of all observed items. This study shows that opportunistically collected data on marine debris from aerial surveys are valuable for identifying distribution patterns of floating debris without additional survey effort and costs. These data can be used as baseline information to inform management schemes such as the Marine Strategy Framework Directive.
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spelling pubmed-77880322021-01-14 Opportunistically collected data from aerial surveys reveal spatio-temporal distribution patterns of marine debris in German waters Unger, Bianca Herr, Helena Viquerat, Sacha Gilles, Anita Burkhardt-Holm, Patricia Siebert, Ursula Environ Sci Pollut Res Int Research Article Marine debris is known for its ubiquitousness and harmful effects on marine life. This study is the first analysis to provide information on the distribution of floating marine debris in German waters using aerial survey data collected between 2002 and 2016. During regular harbour porpoise monitoring flights, 191,167 km were covered and 26,512 floating debris items recorded (average encounter rate 0.1387 items/km). Debris was encountered more often in the North Sea than in the Baltic Sea (0.16 items/km; 0.08 items/km). The average encounter rate was higher in offshore waters than in coastal areas. Overlaps of marine debris distribution with ‘Special Areas of Conservation’ are a particular reason for concern. Moreover, the spring months (March–May) were identified to be the time of the year with the highest average encounter rates for marine debris. Fishing-related debris was shown to contribute up to 25% of the total number of all observed items. This study shows that opportunistically collected data on marine debris from aerial surveys are valuable for identifying distribution patterns of floating debris without additional survey effort and costs. These data can be used as baseline information to inform management schemes such as the Marine Strategy Framework Directive. Springer Berlin Heidelberg 2020-09-07 2021 /pmc/articles/PMC7788032/ /pubmed/32895793 http://dx.doi.org/10.1007/s11356-020-10610-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Unger, Bianca
Herr, Helena
Viquerat, Sacha
Gilles, Anita
Burkhardt-Holm, Patricia
Siebert, Ursula
Opportunistically collected data from aerial surveys reveal spatio-temporal distribution patterns of marine debris in German waters
title Opportunistically collected data from aerial surveys reveal spatio-temporal distribution patterns of marine debris in German waters
title_full Opportunistically collected data from aerial surveys reveal spatio-temporal distribution patterns of marine debris in German waters
title_fullStr Opportunistically collected data from aerial surveys reveal spatio-temporal distribution patterns of marine debris in German waters
title_full_unstemmed Opportunistically collected data from aerial surveys reveal spatio-temporal distribution patterns of marine debris in German waters
title_short Opportunistically collected data from aerial surveys reveal spatio-temporal distribution patterns of marine debris in German waters
title_sort opportunistically collected data from aerial surveys reveal spatio-temporal distribution patterns of marine debris in german waters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788032/
https://www.ncbi.nlm.nih.gov/pubmed/32895793
http://dx.doi.org/10.1007/s11356-020-10610-9
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