Beach Litter - Median number of total abundance items normalized per 100m & to 1 survey - Other sources 2001/2020 v2021 ...

• Main Authors: IFREMER, SISMER, Scientific Information Systems For The SEA SISMER, Ifremer, VIGIES Information Valuation Service For Integrated Management And Monitoring, National Institute Of Oceanography And Applied Geophysics-OGS, Division Of Oceanography
• Format: Dataset
• Language: English
• Published: EMODnet Chemistry 2021
• Subjects: /Human Activities/Pollution; Oceanographic geographical features; Litter abundance and type; Beach litter abundance; Arctic Ocean; Baltic Sea; North Sea; Mediterranean Sea; Black Sea; Northeast Atlantic Ocean 40W; EMODnet Chemistry; sediment; Marine litter; Beach litter; Maps; Oceanography; FOS Earth and related environmental sciences; Arctic; Northeast Atlantic
• Online Access: https://dx.doi.org/10.13120/5615830e-8b8e-42e1-8050-69a6d5e3d0b5; https://sextant.ifremer.fr/documentation/emodnet_chemistry/api/catalogue.html#/metadata/5615830e-8b8e-42e1-8050-69a6d5e3d0b5

This visualization product displays the total abundance of marine macro-litter (> 2.5cm) per beach per year from non-MSFD monitoring surveys, research & cleaning operations. EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of beach litter have been gathered and processed in the EMODnet Chemistry Marine Litter Database (MLDB). The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols and reference lists used on a European scale. Preliminary processing were necessary to harmonize all the data: - Exclusion of OSPAR 1000 protocol: in order to follow the approach of OSPAR that it is not including these data anymore in the monitoring; - Selection of surveys from non-MSFD monitoring, cleaning and research operations; - Exclusion of beaches without coordinates; - Some categories & some litter types like organic litter, small fragments (paraffin and wax; items > ...