JOURNAL ARTICLE

A baseline study of macro, meso and micro litter in the Belize River basin, from catchment to coast.

  • Published In: ICES Journal of Marine Science / Journal du Conseil, 2023, v. 80, n. 8. P. 2183 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Silburn, Briony; Bakir, Adil; Binetti, Umberto; Russell, Josie; Kohler, Peter; Preston-Whyte, Fiona; Meakins, Bryony; van Hoytema, Nanne; Andrews, Gilbert; Carrias, Abel; Maes, Thomas 3 of 3

Abstract

This article focuses on the investigation of macro, meso, and microplastic litter distribution along the Belize River basin and adjacent coastal areas, adapting the North-East Atlantic OSPAR beach litter monitoring protocol to local conditions. The study found that plastic constituted approximately 77.3% of litter items, with an increasing litter load observed from inland river catchments toward the coast, including rises in plastic pieces and fishing-related debris. Microplastics were detected in all sediment samples (ranging from 200 to 6,500 particles per kg dry sediment) and in 36% of sampled riverine fish (Cichlasoma synspilum), indicating contamination of freshwater biota. These baseline data provide critical evidence to support the development and evaluation of Belizean legislation aimed at reducing marine litter and highlight the importance of region-specific monitoring to inform effective waste management policies.

Additional Information

  • Source:ICES Journal of Marine Science / Journal du Conseil. 2023/10, Vol. 80, Issue 8, p2183
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2023
  • ISSN:1054-3139
  • DOI:10.1093/icesjms/fsab268
  • Accession Number:172994137
  • Copyright Statement:Copyright of ICES Journal of Marine Science / Journal du Conseil is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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