The quest for seafloor macrolitter: A critical review of background knowledge, current methods and future prospects

Miquel Canals, Christopher K. Pham, Melanie Bergmann, Lars Gutow, Georg Hanke, Erik van Sebille, Michela Angiolillo, Lene Buhl-Mortensen, Alessando Cau, Christos Ioakeimidis, Ulrike Kammann, Lonny Lundsten, George Papatheodorou, Autun Purser, Anna Sanchez-Vidal, Marcus Schulz, Matteo Vinci, Sanae Chiba, François Galgani, Daniel LangenkämperTiia Möller, Tim W. Nattkemper, Marta Ruiz, Sanna Suikkanen, Lucy Woodall, Elias Fakiris, Maria Eugenia Molina Jack, Alessandra Giorgetti

Research output: Contribution to journalReview articlepeer-review

Abstract

The seafloor covers some 70% of the Earth’s surface and has been recognised as a major sink for marine litter. Still, litter on the seafloor is the least investigated fraction of marine litter, which is not surprising as most of it lies in the deep sea, i.e. the least explored ecosystem. Although marine litter is considered a major threat for the oceans, monitoring frameworks are still being set up. This paper reviews current knowledge and methods, identifies existing needs, and points to future developments that are required to address the estimation of seafloor macrolitter. It provides background knowledge and conveys the views and thoughts of scientific experts on seafloor marine litter offering a review of monitoring and ocean modelling techniques. Knowledge gaps that need to be tackled, data needs for modelling, and data comparability and harmonisation are also discussed. In addition, it shows how research on seafloor macrolitter can inform international protection and conservation frameworks to prioritise efforts and measures against marine litter and its deleterious impacts.

Original languageEnglish
Article number023001
Pages (from-to)1-29
Number of pages29
JournalEnvironmental Research Letters
Volume16
Issue number2
DOIs
Publication statusPublished - Feb 2021

Keywords

  • Data harmonisation
  • Deep sea
  • Marine litter
  • Modelling
  • Seafloor
  • Trawl surveys
  • Visual surveys

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