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Opportunistically collected data from aerial surveys reveal spatio-temporal distribution patterns of marine debris in German waters
Unger, B.; Herr, H.; Viquerat, S.; Gilles, A.; Burkhardt-Holm, P.; Siebert, U. (2020). Opportunistically collected data from aerial surveys reveal spatio-temporal distribution patterns of marine debris in German waters. Environm. Sc. & Poll. Res. 28(3): 2893-2903. https://dx.doi.org/10.1007/s11356-020-10610-9
In: Environmental Science and Pollution Research. Springer: Heidelberg; Berlin. ISSN 0944-1344; e-ISSN 1614-7499, more
Peer reviewed article  

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Keywords
    Conservation > Nature conservation
    Monitoring
    Pollution > Water pollution > Marine pollution
    Surveys > Aerial surveys
Author keywords
    Offshore and coastal waters

Authors  Top 
  • Unger, B.
  • Herr, H.
  • Viquerat, S.
  • Gilles, A.
  • Burkhardt-Holm, P.
  • Siebert, U.

Abstract
    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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