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      Taxonomic and functional surrogates of sessile benthic diversity in Mediterranean marine caves

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          Abstract

          Hard substrates host globally a rich biodiversity, orders of magnitude higher in species number than that in surrounding soft substrates. Among them, marine caves support unique biodiversity and fragile communities but suffer lack of quantitative data on their structure and function, hindering their conservation status assessment. A first approach to the non-destructive ecological monitoring of marine caves by testing surrogates of structural and functional composition of sessile benthos was attempted in two species-rich Mediterranean marine caves. Photographic sampling was performed in different positions on the cave walls, across the horizontal axis, from the entrance inwards. Eighty-four taxa were identified and assigned to 6 biological traits and 32 modalities related to morphology, behavior and ecological affinities, with sponges being the dominant taxon in species richness and coverage. In quest of possible biological surrogates, we examined the spatial variability of the total community structure and function and separately the sponge community structure and function. The observed patterns of the above metrics were significantly correlated with the distance from the entrance, the small-scale variability and their interaction. A positive correlation was found between all examined pairs of those metrics, supporting that: (i) the developed functional approach could be used for the study of marine cave sessile communities, and (ii) sponges could be used as a surrogate taxon for the structural and functional study of these communities. The suggested method could be tested in other types of hard substrate habitats and in multiple locations of the Mediterranean waters, facilitating monitoring schemes and conservation actions.

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          Permutation tests for univariate or multivariate analysis of variance and regression

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            A Standardised Vocabulary for Identifying Benthic Biota and Substrata from Underwater Imagery: The CATAMI Classification Scheme

            Imagery collected by still and video cameras is an increasingly important tool for minimal impact, repeatable observations in the marine environment. Data generated from imagery includes identification, annotation and quantification of biological subjects and environmental features within an image. To be long-lived and useful beyond their project-specific initial purpose, and to maximize their utility across studies and disciplines, marine imagery data should use a standardised vocabulary of defined terms. This would enable the compilation of regional, national and/or global data sets from multiple sources, contributing to broad-scale management studies and development of automated annotation algorithms. The classification scheme developed under the Collaborative and Automated Tools for Analysis of Marine Imagery (CATAMI) project provides such a vocabulary. The CATAMI classification scheme introduces Australian-wide acknowledged, standardised terminology for annotating benthic substrates and biota in marine imagery. It combines coarse-level taxonomy and morphology, and is a flexible, hierarchical classification that bridges the gap between habitat/biotope characterisation and taxonomy, acknowledging limitations when describing biological taxa through imagery. It is fully described, documented, and maintained through curated online databases, and can be applied across benthic image collection methods, annotation platforms and scoring methods. Following release in 2013, the CATAMI classification scheme was taken up by a wide variety of users, including government, academia and industry. This rapid acceptance highlights the scheme’s utility and the potential to facilitate broad-scale multidisciplinary studies of marine ecosystems when applied globally. Here we present the CATAMI classification scheme, describe its conception and features, and discuss its utility and the opportunities as well as challenges arising from its use.
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              Ecoregion-Based Conservation Planning in the Mediterranean: Dealing with Large-Scale Heterogeneity

              Spatial priorities for the conservation of three key Mediterranean habitats, i.e. seagrass Posidonia oceanica meadows, coralligenous formations, and marine caves, were determined through a systematic planning approach. Available information on the distribution of these habitats across the entire Mediterranean Sea was compiled to produce basin-scale distribution maps. Conservation targets for each habitat type were set according to European Union guidelines. Surrogates were used to estimate the spatial variation of opportunity cost for commercial, non-commercial fishing, and aquaculture. Marxan conservation planning software was used to evaluate the comparative utility of two planning scenarios: (a) a whole-basin scenario, referring to selection of priority areas across the whole Mediterranean Sea, and (b) an ecoregional scenario, in which priority areas were selected within eight predefined ecoregions. Although both scenarios required approximately the same total area to be protected in order to achieve conservation targets, the opportunity cost differed between them. The whole-basin scenario yielded a lower opportunity cost, but the Alboran Sea ecoregion was not represented and priority areas were predominantly located in the Ionian, Aegean, and Adriatic Seas. In comparison, the ecoregional scenario resulted in a higher representation of ecoregions and a more even distribution of priority areas, albeit with a higher opportunity cost. We suggest that planning at the ecoregional level ensures better representativeness of the selected conservation features and adequate protection of species, functional, and genetic diversity across the basin. While there are several initiatives that identify priority areas in the Mediterranean Sea, our approach is novel as it combines three issues: (a) it is based on the distribution of habitats and not species, which was rarely the case in previous efforts, (b) it considers spatial variability of cost throughout this socioeconomically heterogeneous basin, and (c) it adopts ecoregions as the most appropriate level for large-scale planning.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: ValidationRole: 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
                6 September 2017
                2017
                : 12
                : 9
                : e0183707
                Affiliations
                [1 ] Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research, Heraklion, Crete, Greece
                [2 ] Department of Zoology, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece
                [3 ] National Marine Park of Zakynthos, Zakynthos, Greece
                University of Genova, ITALY
                Author notes

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

                Author information
                http://orcid.org/0000-0002-9143-7480
                Article
                PONE-D-17-16316
                10.1371/journal.pone.0183707
                5587111
                28877222
                21adfc3c-426b-4b72-9701-4f3d766f3b77
                © 2017 Gerovasileiou 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
                : 27 April 2017
                : 9 August 2017
                Page count
                Figures: 5, Tables: 4, Pages: 20
                Funding
                Funded by: EU Social Fund and Greek national funds through the "Heracleitus II" Research Funding Programme
                Award Recipient :
                Funded by: Alexander S. Onassis Public Benefit Foundation
                Award Recipient :
                This study was co-financed by the EU Social Fund and Greek national funds through the "Heracleitus II" Research Funding Programme. VG also benefited from an “Alexander S. Onassis Public Benefit Foundation” fellowship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Earth Sciences
                Geomorphology
                Topography
                Landforms
                Caves
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Sponges
                Biology and Life Sciences
                Marine Biology
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Biology
                Biology and Life Sciences
                Ecology
                Ecosystems
                Marine Ecosystems
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Marine Ecosystems
                Biology and Life Sciences
                Marine Biology
                Marine Conservation
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Biology
                Marine Conservation
                Biology and Life Sciences
                Ecology
                Community Ecology
                Community Structure
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Community Structure
                Biology and Life Sciences
                Ecology
                Marine Ecology
                Ecology and Environmental Sciences
                Ecology
                Marine Ecology
                Biology and Life Sciences
                Marine Biology
                Marine Ecology
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Biology
                Marine Ecology
                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
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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