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  3. CLiP Belize Marine Litter Abundance and Composition 2019

CLiP Belize Marine Litter Abundance and Composition 2019

Summary

This dataset contains 2 csv files. The file Belize_Marine_Litter_Data.csv contains data on litter found on marine beaches, river banks and along city canals in Belize between May and June 2019. The number of items and the weight in kg is reported for each litter category. The list of litter categories was obtain merging OSPAR and Tangaroa Blue protocols with the addition of region-specific items. Item categories marked with '*' were added during the operations in South Pacific, while item categories marked with '**' were added during the operations in Belize. An array of metadata (location names, survey date, GPS coordinates in decimal degrees) is also reported per each data point. The file Belize_Marine_Litter_Metadata.csv reports other metadata collected during the surveys following the OSPAR protocol to describe factors potentially influencing litter characteristics. A READ-ME text file contains a legend of the columns of the csv files.

Categories

Keywords

N/A

Use limitation statement

There are no public access constraints to this data. Use of this data is subject to the licence identified.

Attribution statement

See Cefas Data Portal for details – link to dataset below.

Technical information

Update frequency

notPlanned

Lineage

The United Nations Environment Programme (UNEP) defines marine litter as 'any persistent, manufactured or processed solid material discarded, disposed of or abandoned in the marine and coastal environment'. The data were collected on six sandy beaches, 3 river banks and 2 city storm canals in Belize between May and June 2019. Marine litter items were removed along linear transect with the maximum length of 100 m (actual length stated in the comments/metadata) between the high tide line and the back of the beach or between the high water mark of the rivers and the back o the banks. The 'land-side' limit was identified by change in topography and/or vegetation. The items are divided in 11 material categories (Plastic, Rubber, Textile, Paper, Wood, Metal, Glass, Ceramic, Sanitary, Medical, Other) and 168 1tem categories (specific items). The list of categories was obtained by merging protocols from OSPAR and Tangaroa Blue and was expanded with country-specific items found more frequently during initial clean-ups (the number of items for these latter categories had been annotated even before their official inclusion in the list). The country-specific categories are marked by '*' or '**' after their name according to whether they were added for the South Pacific or Belize fieldwork operations respectively. Metadata were collected between the high tide line and the back of the beach as per OSPAR protocol. All data were collected by or under the supervision of Cefas personnel, but some trainees helped during some of the activities. GPS positions at the start and end of the transects are reported for each activity. Clean-ups undertaken on the same beach targeted the same transect with a higher accuracy than GPS instrumentation, so the GPS coordinates are the same. All items were removed from the beach and properly disposed of and recycled (where possible).

Spatial information

Coordinate reference system

N/A

Geographic extent

  • Latitude from: 10 to 20
  • Longitude from: -90 to -80
Metadata information

Language

English

Metadata identifier

57eecefb-c218-4fe1-b0c4-03015a45a66a


Published by

Centre for Environment, Fisheries & Aquaculture Science

Contact publisher

data.manager@cefas.gov.uk

Dataset reference dates

Creation date

25 July 2019

Revision date

17 May 2023

Publication date

31 January 2020

Period

  • From: 09 May 2019
  • To: 24 June 2019

Search

Data and Supporting Information
Data services and download by area of interestLinkAction
The Cefas Data Portal contains metadata records and data sets available to download and connect to in support of our commitment to open science. Data is available in the following formats: Binary download, CSV, ESRI Shapefile. The data can also be accessed via the WFS and WMS protocols.Open link