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      Process-driven and biological characterisation and mapping of seabed habitats sensitive to trawling

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          Abstract

          The increase of anthropogenic pressures on the marine environment together with the necessity of a sustainable management of marine living resources have underlined the need to map and model coastal environments, particularly for the purposes of spatial planning and for the implementation of integrated ecosystem-based management approach. The present study compares outputs of a process-driven benthic habitat sensitivity (PDS) model to the structure, composition and distribution of benthic invertebrates in the Eastern English Channel and southern part of the North Sea. Trawl disturbance indicators (TDI) computed from species biological traits and benthic community composition were produced from samples collected with a bottom trawl. The TDI was found to be highly correlated to the PDS further validating the latter’s purpose to identify natural process-driven pattern of sensitivity. PDS was found to reflect an environmental potential that may no longer be fully observable in the field and difference with in situ biological observations could be partially explained by the spatial distribution of fishery pressure on the seafloor. The management implication of these findings are discussed and we suggest that, used in conjunction with TDI approaches, PDS may help monitor management effort by evaluating the difference between the current state and the presumed optimal environmental status of marine benthic habitats.

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          Habitat, the Templet for Ecological Strategies?

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            Tactics, Strategies and Templets

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              Global analysis of response and recovery of benthic biota to fishing

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: InvestigationRole: ResourcesRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                5 October 2017
                2017
                : 12
                : 10
                : e0184486
                Affiliations
                [1 ] Laboratoire Environnement et Ressources Bretagne Nord, Ifremer, Dinard, France
                [2 ] UMR MARBEC, Ifremer, Sète, France
                [3 ] Geological Survey of Canada (Atlantic), Natural Resources Canada, Dartmouth, Nova Scotia, Canada
                University of Waikato, NEW ZEALAND
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                ‡ These authors also contributed equally to this work.

                Author information
                http://orcid.org/0000-0001-6283-2214
                Article
                PONE-D-17-02555
                10.1371/journal.pone.0184486
                5628812
                28981504
                4577ba7b-8c39-4176-98b0-1d2ca2a05968
                © 2017 Foveau et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 January 2017
                : 24 August 2017
                Page count
                Figures: 10, Tables: 3, Pages: 30
                Funding
                Funded by: Interreg IV A CHARM III
                Funded by: funder-id http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: ANR-2010-STRA-010
                This study was partly supported by the INTERREG IV A project CHARM III (CHannel integrated Approach for marine Resource Management), the French research agency (ANR), through the project COMANCHE (Ecosystem interactions and anthropogenic impacts on great scallop populations in the English Channel) - ANR-2010-STRA-010.
                Categories
                Research Article
                Earth Sciences
                Geology
                Petrology
                Sediment
                Earth Sciences
                Geology
                Sedimentary Geology
                Sediment
                Ecology and Environmental Sciences
                Habitats
                Biology and Life Sciences
                Ecology
                Community Ecology
                Community Structure
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Community Structure
                Ecology and Environmental Sciences
                Aquatic Environments
                Marine Environments
                Earth Sciences
                Marine and Aquatic Sciences
                Aquatic Environments
                Marine Environments
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Multivariate Analysis
                Principal Component Analysis
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Multivariate Analysis
                Principal Component Analysis
                Biology and Life Sciences
                Zoology
                Fish Biology
                Biology and Life Sciences
                Taxonomy
                Computer and Information Sciences
                Data Management
                Taxonomy
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Monitoring
                Biology and Life Sciences
                Marine Biology
                Marine Monitoring
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Biology
                Marine Monitoring
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                All relevant data are within the paper and its Supporting Information files.

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