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934 Research products

  • European Marine Science
  • 2018-2022
  • Open Access
  • Publications
  • Other research products
  • EC|H2020
  • English
  • European Marine Science

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Alviset, Guillaume; Dobler, Delphine;

    This report, deliverable D9.9 - Marine subdomain FAIRness assessment report, is the result of Task 9.5 “Marine Research Infrastructures FAIR services” activities which involved all RIs within the Marine subdomain and tuning with WP5 (Community standards and catalogue of services) and WP7 (Common implementation and support). It compiles and analyses the annually successive versions of FAIR Implementation Profiles performed in 2019, 2020 and 2021.

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    Authors: Morato, Telmo; Dominguez-Carrió, Carlos; Rodrigues, Luís; Murta, José; +7 Authors

    The iMAR 2022 cruise “Integrated assessment of the distribution of Vulnerable Marine Ecosystems along the Mid-Atlantic Ridge (MAR) in the Azores region” took place aboard the Research Vessel Pelagia of the Royal Netherlands Institute for Sea Research (NIOZ) between July 28th and August 4th 2022. This expedition was the second leg of the iMAR cruise funded by the SEA OCEANS program of Eurofleets+ and the H2020 European project iAtlantic. It was led by the University of the Azores (Portugal) in collaboration with the Hydrographic Institute (IH), the University of Porto (Portugal), the University of Aarhus (Denmark), the National Oceanography Center (United Kingdom), GEOMAR (Germany), the University Museum of Bergen (Norway), the PP Shirshov Institute of Oceanology (Russia), and the University of Vale do Itajaí (Brazil). During this cruise, we explored under-visited portions of the southern sector of the MAR in the Azores region and associated ridges and seamounts between 300 and 1,200 m depth (Figure 1): (1) unnamed seamount (coded B14) and Alfa seamount, (2) ridges around the Menez Gwen hydrothermal vent area, (3) A16 seamount and Cabeçote hills, (4) Sarda N and Sarda NE seamounts, (5) Farpas ridge, and (6) Voador seamount. On most sampling locations, we collected multibeam data, CTD measurements, water and sediment samples, as well as towed camera video transects along with ADCP data to survey deep-sea coral and sponge communities. Water samples will be used to characterize water masses properties (nutrients and physical-chemical parameters) and also for biodiversity analyses through eDNA methods. Sediment samples (collected at 1,000 m depth) will be used for biodiversity analyses through faunal studies and eDNA methods, the presence of microplastics, granulometry analyses, and physical-chemical studies. Although the data has yet to be analysed in detail, the iMAR 2022 cruise revealed some exciting discoveries. We have identified new areas that fit the FAO definition of Vulnerable Marine Ecosystems (VME), and compiled valuable scientific information to inform the development of policies that promote the preservation of the natural heritage, ensuring the sustainable use of the deep sea, minimizing negative impacts on these vulnerable ecosystems.

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    Authors: Schymanski, Emma;

    Presentation giving an update on the NORMAN Suspect List Exchange (NORMAN-SLE) given at the NORMAN Network General Assembly, Dec 1-2, 2022 in Odense, Denmark.

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    Authors: Wacquet, Guillaume; Lefebvre, Alain;

    In recent years, Deep Learning (DL) has been increasingly used in many fields, in particular in image recognition, due to its ability to solve problems where traditional machine learning algorithms fail. However, building an appropriate DL model from scratch, especially in the context of ecological studies, is a difficult task due to the dynamic nature and morphological variability of living organisms, as well as the high cost in terms of time, human resources and skills required to label a large number of training images. To overcome this problem, Transfer Learning (TL) can be used to improve a classifier by transferring information learnt from many domains thanks to a very large training set composed of various images, to another domain with a smaller amount of training data. To compensate the lack of “easy-to-use” software optimized for ecological studies, we propose the EcoTransLearn R-package, which allows greater automation in classification of images acquired with various devices (FlowCam, ZooScan, photographs, etc.), thanks to different TL methods pre-trained on the generic ImageNet dataset. Availability and Implementation EcoTransLearn is an open-source package. It is implemented in R, and calls Python scripts for image classification step (using reticulate and tensorflow libraries). The source code, instruction manual and examples can be found at https://github.com/IFREMER-LERBL/EcoTransLearn. Supplementary information Supplementary data are available at Bioinformatics online.

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    Authors: Stefanidis Fotios; Stefanou Evangelos; Boulougouris Evangelos; Karagiannidis Lazaros; +4 Authors

    Despite the current high level of safety and the efforts to make passenger ships resilient to most fire and flooding scenarios, there are still gaps and challenges in the marine emergency response and ship evacuation processes. Those challenges arise from the fact that both processes are complex, multi-variable problems that rely on parameters involving not only people and technology but also procedural and managerial issues. SafePASS Project, funded under EU’s Horizon 2020 Research and Innovation Programme, is set to radically redefine the evacuation processes by introducing new equipment, expanding the capabilities of legacy systems on-board, proposing new Life-Saving Appliances and ship layouts, and challenging the current international regulations, hence reducing the uncertainty, and increasing the efficiency in all the stages of ship evacuation and abandonment process.

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    Authors: Stefanidis Fotios; Stefanou Evangelos; Boulougouris Evangelos; Karagiannidis Lazaros; +4 Authors

    Despite the current high level of safety and the efforts to make passenger ships resilient to most fire and flooding scenarios, there are still gaps and challenges in the marine emergency response and ship evacuation processes. Those challenges arise from the fact that both processes are complex, multi-variable problems that rely on parameters involving not only people and technology but also procedural and managerial issues. SafePASS Project, funded under EU’s Horizon 2020 Research and Innovation Programme, is set to radically redefine the evacuation processes by introducing new equipment, expanding the capabilities of legacy systems on-board, proposing new Life-Saving Appliances and ship layouts, and challenging the current international regulations, hence reducing the uncertainty, and increasing the efficiency in all the stages of ship evacuation and abandonment process.

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    Authors: Castro, Ángela Ruiz-Nieto; Cintia Gómez-Serrano; Gabriel Acién; Antonio J.;

    Almería horticulture in SE Spain hosts the largest concentration of greenhouses in the world and faces important environmental sustainability challenges. Microalgae-derived applications are efficient nature-based solutions as they are used for wastewater regeneration or as biostimulants and biopesticides in agriculture. However, farmers’ knowledge and acceptance of microalgae-derived applications remain unknown, which is a major barrier to its commercialization. This study explores current farmers’ knowledge and acceptance of microalgae in Almería horticulture. Results revealed that there exists a significant lack of knowledge regarding the use of microalgae agricultural-based applications. Over sixty percent of farmers indicated that microalgae can have beneficial uses in agriculture, such as biostimulants or biofertilizers. However, although seventy percent of farmers expressed their willingness to use them, results also showed that only 32% of farmers using microalgae-derived applications have obtained satisfactory results. We call the urgent need for new communication strategies based on transdisciplinary approaches that increase farmers’ knowledge around the multiple microalgae-derived products and applications in agriculture.

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    Authors: Rafiei, Mohammad; Salvatore, Francesco;

    This report describes the realization of a comprehensive digital model of the Calm Water Towing (CWT) tank facility at the Institute of Marine Engineering (CNR-INM). The digital model describes the full infrastructure, including the tank and the towing carriage, and provides a digital twin that allows to simulate the various phases in preparation, execution and decommissioning of experimental activities in the facility. The digital twin has been developed in a Solid Works software environment and consists in a digital project, with drawings, previews, rendering and animations that can be downloaded in the most popular formats. In the report, the methodology has been described and examples of applications of the digital tool to ongoing and future activities are described. The activity has been undertaken and partially funded in the framework of the CNR Project ULYSSES 2030 (Underpinning Laboratory for Sea Energy Systems) and of the EU-funded project, H2020 CRIMSON, dealing with the demonstration of innovative hydrokinetic turbines for the exploitation of tidal and river energy. Nonetheless, the validity of the digital twin is general, with application to all types of testing programs in the facility.

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    Authors: Krijgsman, Wout; Vasiliev, Iuliana; Beniest, Anouk; Lyons, Timothy; +15 Authors

    The MagellanPlus workshop "BlackGate"addressed fundamental questions concerning the dynamic evolution of the Mediterranean-Black Sea (MBS) gateway and its palaeoenvironmental consequences. This gateway drives the Miocene-Quaternary circulation patterns in the Black Sea and governs its present status as the world's largest example of marine anoxia. The exchange history of the MBS gateway is poorly constrained because continuous Pliocene-Quaternary deposits are not exposed on land adjacent to the Black Sea or northern Aegean. Gateway exchange is controlled by climatic (glacio-eustatic-driven sea-level fluctuations) and tectonic processes in the catchment as well as tectonic propagation of the North Anatolian Fault Zone (NAFZ) in the gateway area itself. Changes in connectivity trigger dramatic palaeoenvironmental and biotic turnovers in both the Black Sea and Mediterranean domains. Drilling a Messinian to Holocene transect across the MBS gateway will recover high-amplitude records of continent-scale hydrological changes during glacial-interglacial cycles and allow us to reconstruct marine and freshwater fluxes, biological turnover events, deep biospheric processes, subsurface gradients in primary sedimentary properties, patterns and processes controlling anoxia, chemical perturbations and carbon cycling, growth and propagation of the NAFZ, the timing of land bridges for Africa and/or Asia-Europe mammal migration, and the presence or absence of water exchange during the Messinian salinity crisis. During thorough discussions at the workshop, three key sites were selected for potential drilling using a mission-specific platform (MSP): one on the Turkish margin of the Black Sea (Arkhangelsky Ridge, 400mb.s.f., metres below the seafloor), one on the southern margin of the Sea of Marmara (North Imrali Basin, 750mb.s.f.), and one in the Aegean (North Aegean Trough, 650mb.s.f.). All sites target Quaternary oxic-anoxic marl-sapropel cycles. Plans include recovery of Pliocene lacustrine sediments and mixed marine-brackish Miocene sediments from the Black Sea and the Aegean. MSP drilling is required because the JOIDES Resolution cannot pass under the Bosporus bridges. The wider goals are in line with the aims and scope of the International Ocean Discovery Program (IODP) "2050 Science Framework: Exploring Earth by Scientific Ocean Drilling"and relate specifically to the strategic objectives "Earth's climate system", "Tipping points in Earth's history", and "Natural hazards impacting society".

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    Authors: Galgani, Luisa; Tzempelikou, Eleni; Kalantzi, Ioanna; Tsiola, Anastasia; +8 Authors

    Microplastics are substrates for microbial activity and can influence biomass production. This has potentially important implications at the sea-surface microlayer, the marine boundary layer that controls gas exchange with the atmosphere and where biologically produced organic compounds can accumulate. In the present study, we used large scale mesocosms (filled with 3 m3 of seawater) to simulate future ocean scenarios. We explored microbial organic matter dynamics in the sea-surface microlayer in the presence and absence of microplastic contamination of the underlying water. Our study shows that microplastics increased both biomass production and enrichment of particulate carbohydrates and proteins in the sea-surface microlayer. Importantly, this resulted in a 3% reduction in the concentration of dissolved CO2 in the underlying water. This reduction suggests direct and indirect impacts of microplastic pollution on the marine uptake of CO2, by modifying the biogenic composition of the sea’s boundary layer with the atmosphere.

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    Authors: Alviset, Guillaume; Dobler, Delphine;

    This report, deliverable D9.9 - Marine subdomain FAIRness assessment report, is the result of Task 9.5 “Marine Research Infrastructures FAIR services” activities which involved all RIs within the Marine subdomain and tuning with WP5 (Community standards and catalogue of services) and WP7 (Common implementation and support). It compiles and analyses the annually successive versions of FAIR Implementation Profiles performed in 2019, 2020 and 2021.

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    Authors: Morato, Telmo; Dominguez-Carrió, Carlos; Rodrigues, Luís; Murta, José; +7 Authors

    The iMAR 2022 cruise “Integrated assessment of the distribution of Vulnerable Marine Ecosystems along the Mid-Atlantic Ridge (MAR) in the Azores region” took place aboard the Research Vessel Pelagia of the Royal Netherlands Institute for Sea Research (NIOZ) between July 28th and August 4th 2022. This expedition was the second leg of the iMAR cruise funded by the SEA OCEANS program of Eurofleets+ and the H2020 European project iAtlantic. It was led by the University of the Azores (Portugal) in collaboration with the Hydrographic Institute (IH), the University of Porto (Portugal), the University of Aarhus (Denmark), the National Oceanography Center (United Kingdom), GEOMAR (Germany), the University Museum of Bergen (Norway), the PP Shirshov Institute of Oceanology (Russia), and the University of Vale do Itajaí (Brazil). During this cruise, we explored under-visited portions of the southern sector of the MAR in the Azores region and associated ridges and seamounts between 300 and 1,200 m depth (Figure 1): (1) unnamed seamount (coded B14) and Alfa seamount, (2) ridges around the Menez Gwen hydrothermal vent area, (3) A16 seamount and Cabeçote hills, (4) Sarda N and Sarda NE seamounts, (5) Farpas ridge, and (6) Voador seamount. On most sampling locations, we collected multibeam data, CTD measurements, water and sediment samples, as well as towed camera video transects along with ADCP data to survey deep-sea coral and sponge communities. Water samples will be used to characterize water masses properties (nutrients and physical-chemical parameters) and also for biodiversity analyses through eDNA methods. Sediment samples (collected at 1,000 m depth) will be used for biodiversity analyses through faunal studies and eDNA methods, the presence of microplastics, granulometry analyses, and physical-chemical studies. Although the data has yet to be analysed in detail, the iMAR 2022 cruise revealed some exciting discoveries. We have identified new areas that fit the FAO definition of Vulnerable Marine Ecosystems (VME), and compiled valuable scientific information to inform the development of policies that promote the preservation of the natural heritage, ensuring the sustainable use of the deep sea, minimizing negative impacts on these vulnerable ecosystems.

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    Authors: Schymanski, Emma;

    Presentation giving an update on the NORMAN Suspect List Exchange (NORMAN-SLE) given at the NORMAN Network General Assembly, Dec 1-2, 2022 in Odense, Denmark.

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    Authors: Wacquet, Guillaume; Lefebvre, Alain;

    In recent years, Deep Learning (DL) has been increasingly used in many fields, in particular in image recognition, due to its ability to solve problems where traditional machine learning algorithms fail. However, building an appropriate DL model from scratch, especially in the context of ecological studies, is a difficult task due to the dynamic nature and morphological variability of living organisms, as well as the high cost in terms of time, human resources and skills required to label a large number of training images. To overcome this problem, Transfer Learning (TL) can be used to improve a classifier by transferring information learnt from many domains thanks to a very large training set composed of various images, to another domain with a smaller amount of training data. To compensate the lack of “easy-to-use” software optimized for ecological studies, we propose the EcoTransLearn R-package, which allows greater automation in classification of images acquired with various devices (FlowCam, ZooScan, photographs, etc.), thanks to different TL methods pre-trained on the generic ImageNet dataset. Availability and Implementation EcoTransLearn is an open-source package. It is implemented in R, and calls Python scripts for image classification step (using reticulate and tensorflow libraries). The source code, instruction manual and examples can be found at https://github.com/IFREMER-LERBL/EcoTransLearn. Supplementary information Supplementary data are available at Bioinformatics online.

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    Authors: Stefanidis Fotios; Stefanou Evangelos; Boulougouris Evangelos; Karagiannidis Lazaros; +4 Authors

    Despite the current high level of safety and the efforts to make passenger ships resilient to most fire and flooding scenarios, there are still gaps and challenges in the marine emergency response and ship evacuation processes. Those challenges arise from the fact that both processes are complex, multi-variable problems that rely on parameters involving not only people and technology but also procedural and managerial issues. SafePASS Project, funded under EU’s Horizon 2020 Research and Innovation Programme, is set to radically redefine the evacuation processes by introducing new equipment, expanding the capabilities of legacy systems on-board, proposing new Life-Saving Appliances and ship layouts, and challenging the current international regulations, hence reducing the uncertainty, and increasing the efficiency in all the stages of ship evacuation and abandonment process.

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    https://doi.org/10.5281/zenodo...
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