Seafloor litter - Fishing related items density normalized per km² 2011/2022 v2023 ... : sl_fishing ...

• Main Author: Ifremer, VIGIES Information Valuation Service for Integrated Management and MonitoringIFREMER, SISMER, Scientific Information Systems for the SEA
• Format: Dataset
• Language: unknown
• Published: Ifremer, VIGIES (Information Valuation Service for Integrated Management and Monitoring)IFREMER, SISMER, Scientific Information Systems for the SEA 2023
• Subjects: /Human Activities/Pollution; Oceanographic geographical features; Sea-floor litter abundance; Litter abundance and type; Black Sea; Baltic Sea; Arctic Ocean; Northeast Atlantic Ocean 40W; North Sea; Mediterranean Sea; EMODnet Chemistry; sediment; Marine litter; Data; Celtic Seas; WP4 Benthic Mapping; /Environment/Pollution; Spatial data products; Arctic; Northeast Atlantic
• Online Access: https://dx.doi.org/10.13120/dad6d6e7-d30e-47fa-9d93-75ac6bce671f; https://sextant.ifremer.fr/documentation/emodnet_chemistry/api/catalogue.html#/metadata/dad6d6e7-d30e-47fa-9d93-75ac6bce671f

This visualization product displays fishing related items density per trawl. EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of seafloor litter collected by international fish-trawl surveys 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 (OSPAR and MEDITS protocols) and reference lists used on a European scale. Moreover, within the same protocol, different gear types are deployed during fishing bottom trawl surveys. In cases where the wingspread and/or the number of items were unknown, data could not be used because these fields are needed to calculate the density. Data collected before 2011 are affected by this filter. When the distance reported in the data was null, it was calculated from: - the ground speed and the haul duration using this formula: Distance (km) = ...