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Broad-scale benthic habitat classification of the South Atlantic

  • Kirsty A. McQuaid*
  • , Amelia E.H. Bridges
  • , Kerry L. Howell
  • , Tiago B.R. Gandra
  • , Vitor de Souza
  • , Jock C. Currie
  • , Oliver T. Hogg
  • , Tabitha R.R. Pearman
  • , James B. Bell
  • , Lara J. Atkinson
  • , Diane Baum
  • , Jarbas Bonetti
  • , Alvar Carranza
  • , Omar Defeo
  • , Thomas Furey
  • , Maria A. Gasalla
  • , Neil Golding
  • , Shannon L. Hampton
  • , Sebastián Horta
  • , Daniel O.B. Jones
  • Amanda T. Lombard, Eleonora Manca, Yamandú Marin, Stephanie Martin, Pål Mortensen, Cecilia Passadore, Nils Piechaud, Kerry J. Sink, Andrew Yool
*Corresponding author for this work
  • University of Plymouth
  • South African National Biodiversity Institute
  • Instituto Federal de Educação, Ciȇncia e Tecnologia do Rio Grande do Sul
  • Universidade Federal de Santa Catarina
  • Centre for the Environment Fisheries and Aquaculture Science
  • South Atlantic Environmental Research Institute
  • South African Environmental Observation Network
  • University of Cape Town
  • Ascension Island Government
  • Universidad de la República
  • Museo Nacional de Historia Natural Uruguay
  • Marine Institute
  • Universidade de São Paulo
  • Aquarius Survey & Mapping
  • Cape Town
  • Ministerio de Ambiente
  • National Oceanography Centre
  • Nelson Mandela University
  • Joint Nature Conservation Committee
  • Government of Tristan da Cunha
  • Institute of Marine Research
  • Montevideo

Research output: Contribution to journalArticlepeer-review

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Abstract

Marine Spatial Planning (MSP) has become a priority for many states wanting to develop national blue economy plans and meet international obligations in response to the increasing cumulative impacts of human activities and climate change. In areas beyond national jurisdiction (ABNJ), MSP is proposed as part of a package of solutions for multi-sectoral management at the ocean basin scale. To facilitate planning, maps showing the spatial distribution of marine biological diversity are required. In areas lacking data, like the South Atlantic, environmental proxies can be used to predict these distributions. We undertook broad-scale benthic habitat classification of the South Atlantic, employing two top-down approaches spanning from national waters to ABNJ. The first was non-hierarchical and clustered groups of environmental variables prior to combination; the second was hierarchical and clustered Principal Components of environmental variables. Areas of agreement between the two approaches were identified and results compared with existing national and global classifications and published biodiversity patterns. We highlight several habitat classes we can be cautiously confident represent variation in biological diversity, such as topographic features, frontal systems and some abyssal basins. We also identify critical gaps in our knowledge of regional biogeography and advocate for collaborative effort to compile benthic species records and promote further exploration of the region to address these gaps. These insights into the distribution of habitats have the potential to support sustainable use and conservation of biodiversity beyond national jurisdiction, enable transboundary and ocean basin scale management, and empower nations to make progress towards achieving Sustainable Development Goals.

Original languageEnglish
Article number103016
JournalProgress in Oceanography
Volume214
Early online date17 Mar 2023
DOIs
Publication statusPublished - Jun 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  3. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

ASJC Scopus subject areas

  • Aquatic Science
  • Geology

Keywords

  • Atlantic Ocean, South Atlantic Ocean
  • Bioregionalisation
  • Classification systems
  • Habitat
  • Habitat mapping
  • Seafloor mapping
  • Spatial distribution

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