This visualisation product displays plastic bags density per trawl per year. EMODnet Chemistry included the gathering 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. Densities have been calculated on each trawl and year using the following computation: Density of plastic bags (number of items per Km^2) = (total number of fishing related items)/(Swept area) Percentiles 50, 75 & 95 have been calculated taking into account data from all years. Plastic bags reference codes taken into account for this product and information on data processing and calculation are detailed in the following document p22.: https://www.emodnet-chemistry.eu/repository/20190321_EMODnet_Beach_Seabed_ML_Products.pdf
Access metadata from dataset’s landing page
## [1] "West-Longitude: -18.7"
## [1] "South-Latitude: 34.9"
## [1] "East-Longitude: 31.3"
## [1] "North-Latitude: 61.2"
Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under ODbL.
The Web Feature Service (WFS) of the EMODnet Chemistry portal allows collecting the data:
https://www.ifremer.fr/services/wfs/emodnet_chemistry2?service=WFS&request=GetCapabilities&version=1.1.0
Available labels:
## [1] "msGeometry" "id"
## [3] "country_name" "surveycode"
## [5] "surveyname" "ship_name"
## [7] "gear" "gear_description"
## [9] "stno" "haulno"
## [11] "surveyyear" "year"
## [13] "ltref" "littergroup"
## [15] "littercount_by_squarekm"
Download data for the defined geographical extent:
Excel file | Geographic information |
csv | geojson |
Browse table’s columns by using the left and right arrows. Turn the table’s pages with help of the previous/next buttons.
Visualise and access data with Openlayer (click on the map)
## [1] "Too many features selected!"
This document produced by Marine-analyst.eu is licensed under CC BY-NC 4.0