Beach Litter - Median number of cigarette related items normalized per 100m & to 1 survey - UNEP_MARLIN only - Official monitoring 2012/2019 v2021 ...

This visualization product displays the cigarette related items abundance of marine macro-litter (> 2.5cm) per beach per year from Marine Strategy Framework Directive (MSFD) monitoring surveys related to UNEP-MARLIN data only. EMODnet Chemistry included the collection of marine litter in its 3rd...

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Bibliographic Details
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:
Online Access:https://dx.doi.org/10.13120/8b78b4ad-80b6-4ec2-b6df-fbcdd5968413
https://sextant.ifremer.fr/documentation/emodnet_chemistry/api/catalogue.html#/metadata/8b78b4ad-80b6-4ec2-b6df-fbcdd5968413
Description
Summary:This visualization product displays the cigarette related items abundance of marine macro-litter (> 2.5cm) per beach per year from Marine Strategy Framework Directive (MSFD) monitoring surveys related to UNEP-MARLIN data only. 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: - Selection of MSFD surveys only (exclusion of other monitoring, cleaning and research operations); - Exclusion of beaches without coordinates; - Selection of cigarette related items only. The list of selected items is attached to this metadata. This list was created using EU Marine Beach Litter Baselines and EU Threshold ...