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Modelling marine sediment biogeochemistry: current knowledge gaps, challenges and some methodological advice for advancement

  • Gennadi Lessin
  • , Yuri Artioli
  • , Elin Almroth-Rosell
  • , Jerry C. Blackford
  • , Andrew W. Dale
  • , Ronnie N. Glud
  • , Jack J. Middelburg
  • , Robert Pastres
  • , Ana M. Queirós
  • , Christophe Rabouille
  • , Pierre Regnier
  • , Karline Soetaert
  • , Cosimo Solidoro
  • , Evgeniy Yakushev
  • Plymouth Marine Laboratory
  • Swedish Meterological and Hydrological Institute
  • Helmholtz Centre for Ocean Research Kiel
  • Scottish Association for Marine Sciences, Scottish Marine Institute, Oban, UK
  • Nordcee, Department of Biology, University of Southern Denmark, Odence, Denmark
  • Department of Ocean and Environmental Sciences, Tokyo University of Marine Science and Technology, Tokyo, Japan
  • Department of Environmental Sciences, Informatics and Statistics (DAIS), University of Ca'Foscari, Enice, Italy
  • laboratoire des Scienes du Climat et de L'Environnement, LSCE/IPSL, CEA-Centre National de la Recherche Scientifique-UVSQ-Université Paris Saclay, Gif-sur-Yvette, France
  • Department of Oceanography, Instituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Sgonico, Italy
  • Norwegian Institute for Water Research NIVA
  • RAS - P.P. Shirshov Institute of Oceanology
  • Université libre de Bruxelles
  • Koninklijk Nederlands Instituut voor Onderzoek der Zee

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The benthic environment is a crucial component of marine systems in the provision of ecosystem services, sustaining biodiversity and in climate regulation, and therefore important to human society. With the contemporary increase in computational power, model resolution and technological improvements in quality and quantity of benthic data, it is necessary to ensure that benthic systems are appropriately represented in coupled benthic-pelagic biogeochemical and ecological modelling studies. In this paper we focus on five topical challenges related to various aspects of modelling benthic environments: organic matter reactivity, dynamics of benthic-pelagic boundary layer, microphytobenthos, biological transport and small-scale heterogeneity, and impacts of episodic events. We discuss current gaps in their understanding and indicate plausible ways ahead. Further, we propose a three-pronged approach for the advancement of benthic and benthic-pelagic modelling, essential for improved understanding, management and prediction of the marine environment. This includes: (A) development of a traceable and hierarchical framework for benthic-pelagic models, which will facilitate integration among models, reduce risk of bias, and clarify model limitations; (B) extended cross-disciplinary approach to promote effective collaboration between modelling and empirical scientists of various backgrounds and better involvement of stakeholders and end-users; (C) a common vocabulary for terminology used in benthic modelling, to promote model development and integration, and also to enhance mutual understanding.
Original languageEnglish
Article number19
Number of pages8
JournalFrontiers in Marine Science
Volume5
DOIs
Publication statusPublished - 2 Feb 2018

UN SDGs

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

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

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