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description Publicationkeyboard_double_arrow_right Other literature type , Preprint , Article 2023 FrancePublisher:Copernicus GmbH Funded by:EC | FACE-IT, EC | INTAROS, NSF | Southern Ocean Carbon and...EC| FACE-IT ,EC| INTAROS ,NSF| Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM)Nicolas Metzl; Jonathan Fin; Claire Lo Monaco; Claude Mignon; Samir Alliouane; David Antoine; Guillaume Bourdin; Jacqueline Boutin; Yann Bozec; Pascal Conan; Laurent Coppola; Frédéric Diaz; Eric Douville; Xavier Durrieu de Madron; Jean-Pierre Gattuso; Frédéric Gazeau; Melek Golbol; Bruno Lansard; Dominique Lefèvre; Nathalie Lefèvre; Fabien Lombard; Férial Louanchi; Liliane Merlivat; Léa Olivier; Anne Petrenko; Sébastien Petton; Mireille Pujo-Pay; Christophe Rabouille; Gilles Reverdin; Céline Ridame; Aline Tribollet; Vincenzo Vellucci; Thibaut Wagener; Cathy Wimart-Rousseau;Total alkalinity (AT) and total dissolved inorganic carbon (CT) in the oceans are important properties to understand the ocean carbon cycle and its link with climate change (ocean carbon sinks and sources) or global change (ocean acidification). We present a data-base of more than 44 400 AT and CT observations in various ocean regions obtained since 1993 mainly in the frame of French projects. This includes both surface and water columns data acquired in open oceans, coastal zones and in the Mediterranean Sea and either from time-series or punctual cruises. Most AT and CT data in this synthesis were measured from discrete samples using the same closed-cell potentiometric titration calibrated with Certified Reference Material, with an overall accuracy of ± 4 µmol kg-1 for both AT and CT. Given the lack of observations in the Indian and Southern Oceans, we added sea surface underway AT and CT data obtained in 1998–2018 in the frame of OISO cruises and in 2019 during the CLIM-EPARSES cruise measured onboard using the same technique. Separate datasets for the global ocean, and for the Mediterranean Sea are provided in a single format (https://doi.org/10.17882/95414, Metzl et al., 2023) that offers a direct use for regional or global purposes, e.g. AT/Salinity relationships, long-term CT estimates, constraint and validation of diagnostics CT-AT reconstructed fields or ocean carbon and coupled climate/carbon models simulations, as well as data derived from BG-ARGO floats. When associated with other properties, these data can also be used to calculate pH, fugacity of CO2 (fCO2) and other carbon systems properties to derive ocean acidification rates or air-sea CO2 fluxes.
Earth System Science... arrow_drop_down https://doi.org/10.5194/essd-2...Preprint . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2023-308&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Earth System Science... arrow_drop_down https://doi.org/10.5194/essd-2...Preprint . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2023-308&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2023 Germany, France, France, France, FrancePublisher:Wiley Funded by:EC | TRIATLAS, EC | AtlantECO, ANR | WWW.PIC +1 projectsEC| TRIATLAS ,EC| AtlantECO ,ANR| WWW.PIC ,ANR| TADPanaïotis, Thelma; Babin, Marcel; Biard, Tristan; Carlotti, François; Coppola, Laurent; Guidi, Lionel; Hauss, Helena; Karp‐Boss, Lee; Kiko, Rainer; Lombard, Fabien; McDonnell, Andrew M. P.; Picheral, Marc; Rogge, Andreas; Waite, Anya M.; Stemmann, Lars; Irisson, Jean‐Olivier;doi: 10.1111/geb.13741
AbstractAimThe distribution of mesoplankton communities has been poorly studied at global scale, especially from in situ instruments. This study aims to (1) describe the global distribution of mesoplankton communities in relation to their environment and (2) assess the ability of various environmental‐based ocean regionalizations to explain the distribution of these communities.LocationGlobal ocean, 0–500 m depth.Time Period2008–2019.Major Taxa StudiedTwenty‐eight groups of large mesoplanktonic and macroplanktonic organisms, covering Metazoa, Rhizaria and Cyanobacteria.MethodsFrom a global data set of 2500 vertical profiles making use of the Underwater Vision Profiler 5 (UVP5), an in situ imaging instrument, we studied the global distribution of large (>600 μm) mesoplanktonic organisms. Among the 6.8 million imaged objects, 330,000 were large zooplanktonic organisms and phytoplankton colonies, the rest consisting of marine snow particles. Multivariate ordination (PCA) and clustering were used to describe patterns in community composition, while comparison with existing regionalizations was performed with regression methods (RDA).ResultsWithin the observed size range, epipelagic plankton communities were Trichodesmium‐enriched in the intertropical Atlantic, Copepoda‐enriched at high latitudes and in upwelling areas, and Rhizaria‐enriched in oligotrophic areas. In the mesopelagic layer, Copepoda‐enriched communities were also found at high latitudes and in the Atlantic Ocean, while Rhizaria‐enriched communities prevailed in the Peruvian upwelling system and a few mixed communities were found elsewhere. The comparison between the distribution of these communities and a set of existing regionalizations of the ocean suggested that the structure of plankton communities described above is mostly driven by basin‐level environmental conditions.Main ConclusionsIn both layers, three types of plankton communities emerged and seemed to be mostly driven by regional environmental conditions. This work sheds light on the role not only of metazoans, but also of unexpected large protists and cyanobacteria in structuring large mesoplankton communities.
Global Ecology and B... arrow_drop_down ArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2023Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/geb.13741&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Global Ecology and B... arrow_drop_down ArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2023Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/geb.13741&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review 2023 Belgium, Netherlands, Norway, France, Norway, France, France, France, France, Germany, FrancePublisher:Oxford University Press (OUP) Publicly fundedFunded by:ANR | TAD, EC | SUSTUNTECH, EC | FutureMARES +6 projectsANR| TAD ,EC| SUSTUNTECH ,EC| FutureMARES ,EC| AGENSI ,SNSF| Untersuchungen zu möglichen Auswirkungen des Anbaus von transgenen Bacillus thuringiensis (Bt) Maissorten im Feld auf Bodenökosysteme. ,SNSF| Molecular evolution and ecology of Foraminifera and related protists ,EC| ANERIS ,EC| AtlantECO ,EC| MISSION ATLANTICRubbens, Peter; Brodie, Stephanie; Cordier, Tristan; Destro Barcellos, Diogo; Devos, Paul; Fernandes-Salvador, Jose; Fincham, Jennifer; Gomes, Alessandra; Handegard, Nils Olav; Howell, Kerry; Jamet, Cédric; Kartveit, Kyrre Heldal; Moustahfid, Hassan; Parcerisas, Clea; Politikos, Dimitris; Sauzède, Raphaëlle; Sokolova, Maria; Uusitalo, Laura; van den Bulcke, Laure; van Helmond, Aloysius T.M.; Watson, Jordan; Welch, Heather; Beltran-Perez, Oscar; Chaffron, Samuel; Greenberg, David; Kühn, Bernhard; Kiko, Rainer; Lo, Madiop; Lopes, Rubens; Möller, Klas Ove; Michaels, William; Pala, Ahmet; Romagnan, Jean-Baptiste; Schuchert, Pia; Seydi, Vahid; Villasante, Sebastian; Malde, Ketil; Irisson, Jean-Olivier; Whidden, Christopher;Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific disciplines. We first highlight why machine learning is needed in marine ecology. Then we provide a quick primer on machine learning techniques and vocabulary. We built a database of ∼1000 publications that implement such techniques to analyse marine ecology data. For various data types (images, optical spectra, acoustics, omics, geolocations, biogeochemical profiles, and satellite imagery), we present a historical perspective on applications that proved influential, can serve as templates for new work, or represent the diversity of approaches. Then, we illustrate how machine learning can be used to better understand ecological systems, by combining various sources of marine data. Through this coverage of the literature, we demonstrate an increase in the proportion of marine ecology studies that use machine learning, the pervasiveness of images as a data source, the dominance of machine learning for classification-type problems, and a shift towards deep learning for all data types. This overview is meant to guide researchers who wish to apply machine learning methods to their marine datasets. Machine learning in marine ecology: an overview of techniques and applications
OceanRep arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiB; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYHAL Descartes; HAL - Université de Lille; HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04284704/documentHAL - Université de Lille; HAL-IRDArticle . 2023Full-Text: https://hal.science/hal-04254804/documentGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic Bibliographyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icesjms/fsad100&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 3visibility views 3 Powered bymore_vert OceanRep arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiB; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYHAL Descartes; HAL - Université de Lille; HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04284704/documentHAL - Université de Lille; HAL-IRDArticle . 2023Full-Text: https://hal.science/hal-04254804/documentGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic Bibliographyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icesjms/fsad100&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 France, GermanyPublisher:Springer Science and Business Media LLC Funded by:EC | MINORGEC| MINORGOliver W. Moore; Lisa Curti; Clare Woulds; James A. Bradley; Peyman Babakhani; Benjamin J. W. Mills; William B. Homoky; Ke-Qing Xiao; Andrew W. Bray; Ben J. Fisher; Majid Kazemian; Burkhard Kaulich; Andrew W. Dale; Caroline L. Peacock;AbstractThe balance between degradation and preservation of sedimentary organic carbon (OC) is important for global carbon and oxygen cycles1. The relative importance of different mechanisms and environmental conditions contributing to marine sedimentary OC preservation, however, remains unclear2–8. Simple organic molecules can be geopolymerized into recalcitrant forms by means of the Maillard reaction5, although reaction kinetics at marine sedimentary temperatures are thought to be slow9,10. More recent work in terrestrial systems suggests that the reaction can be catalysed by manganese minerals11–13, but the potential for the promotion of geopolymerized OC formation at marine sedimentary temperatures is uncertain. Here we present incubation experiments and find that iron and manganese ions and minerals abiotically catalyse the Maillard reaction by up to two orders of magnitude at temperatures relevant to continental margins where most preservation occurs4. Furthermore, the chemical signature of the reaction products closely resembles dissolved and total OC found in continental margin sediments globally. With the aid of a pore-water model14, we estimate that iron- and manganese-catalysed transformation of simple organic molecules into complex macromolecules might generate on the order of approximately 4.1 Tg C yr−1 for preservation in marine sediments. In the context of perhaps only about 63 Tg C yr−1 variation in sedimentary organic preservation over the past 300 million years6, we propose that variable iron and manganese inputs to the ocean could exert a substantial but hitherto unexplored impact on global OC preservation over geological time.
OceanRep; Nature arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for Geosciencesadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41586-023-06325-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert OceanRep; Nature arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for Geosciencesadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41586-023-06325-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Germany, Netherlands, France, United Kingdom, FrancePublisher:Wiley Funded by:EC | eLTER PLUSEC| eLTER PLUSSoto, Ismael; Cuthbert, Ross N.; Ahmed, Danish A.; Kouba, Antonín; Domisch, Sami; Marquez, Jaime R. G.; Beidas, Ayah; Amatulli, Giuseppe; Kiesel, Jens; Shen, Longzhu Q.; Florencio, Margarita; Lima, Herlander; Briski, Elizabeta; Altermatt, Florian; Archambaud‐Suard, Gaït; Borza, Peter; Csabai, Zoltan; Datry, Thibault; Floury, Mathieu; Forcellini, Maxence; Fruget, Jean‐François; Leitner, Patrick; Lizée, Marie‐Hélène; Maire, Anthony; Ricciardi, Anthony; Schäfer, Ralf B.; Stubbington, Rachel; Van der Lee, Gea H.; Várbíró, Gábor; Verdonschot, Ralf C. M.; Haase, Peter; Haubrock, Phillip J.;doi: 10.1111/ddi.13649
AbstractAimInvasive alien species are a growing problem worldwide due to their ecological, economic and human health impacts. The “killer shrimp” Dikerogammarus villosus is a notorious invasive alien amphipod from the Ponto‐Caspian region that has invaded many fresh and brackish waters across Europe. Understandings of large‐scale population dynamics of highly impactful invaders such as D. villosus are lacking, inhibiting predictions of impact and efficient timing of management strategies. Hence, our aim was to assess trends and dynamics of D. villosus as well as its impacts in freshwater rivers and streams.LocationEurope.MethodsWe analysed 96 European time series between 1994 and 2019 and identified trends in the relative abundance (i.e. dominance %) of D. villosus in invaded time series, as well as a set of site‐specific characteristics to identify drivers and determinants of population changes and invasion dynamics using meta‐regression modelling. We also looked at the spread over space and time to estimate the invasion speed (km/year) of D. villosus in Europe. We investigated the impact of D. villosus abundance on recipient community metrics (i.e. abundance, taxa richness, temporal turnover, Shannon diversity and Pielou evenness) using generalized linear models.ResultsPopulation trends varied across the time series. Nevertheless, community dominance of D. villosus increased over time across all time series. The frequency of occurrences (used as a proxy for invader spread) was well described by a Pareto distribution, whereby we estimated a lag phase (i.e. the time between introduction and spatial expansion) of approximately 28 years, followed by a gradual increase before new occurrences declined rapidly in the long term. D. villosus population change was associated with decreased taxa richness, community turnover and Shannon diversity.Main ConclusionOur results show that D. villosus is well‐established in European waters and its abundance significantly alters ecological communities. However, the multidecadal lag phase prior to observed spatial expansion suggests that initial introductions by D. villosus are cryptic, thus signalling the need for more effective early detection methods.
NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2023License: CC BYFull-Text: https://edepot.wur.nl/582077Universitätsbibliographie, Universität Duisburg-EssenArticle . 2023Data sources: Universitätsbibliographie, Universität Duisburg-EssenHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYFull-Text: https://hal.science/hal-03843377/documentHAL Descartes; HAL AMUArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04083170/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 20 citations 20 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2023License: CC BYFull-Text: https://edepot.wur.nl/582077Universitätsbibliographie, Universität Duisburg-EssenArticle . 2023Data sources: Universitätsbibliographie, Universität Duisburg-EssenHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYFull-Text: https://hal.science/hal-03843377/documentHAL Descartes; HAL AMUArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04083170/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/ddi.13649&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Elsevier BV Funded by:EC | BATTERY 2030PLUSEC| BATTERY 2030PLUSAuthors: Xibin Lu; Jean-Marie Tarascon; Jiaqiang Huang;Xibin Lu; Jean-Marie Tarascon; Jiaqiang Huang;International audience; The battery is an indispensable puzzle in the current roadmap towards a carbon-neutral world. With the soaring production, the battery itself is unexpectedly becoming a sustainability problem for society. Increasing attention is thus placed on the life cycle of batteries entailing the second life and recycling of batteries, relying on the monitoring of batteries' state and the classification of retired batteries by sensors. Battery sensors that decode the fundamental physical/chemical processes are thus poised to maximize the quality, reliability, lifetime, and safety of batteries and to minimize the environmental footprint. Fiber optic sensors stand out by virtue of their miniature size, insulating nature, electromagnetic immunity, and versatile sensitivities. In this Perspective, we discuss the promise and challenges of commercializing smart sensing for batteries and highlight how fiber optic sensors can synergize with paradigm shifts, including cell to pack and cell to chassis technologies.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.etran.2022.100207&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.etran.2022.100207&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Germany, France, FrancePublisher:Frontiers Media SA Funded by:EC | TRIATLAS, EC | Ocean artUp, NSF | Support for International...EC| TRIATLAS ,EC| Ocean artUp ,NSF| Support for International Ocean Science Activities Through SCORBaños, Isabel; Arístegui, Javier; Benavides, Mar; Gómez-Letona, Markel; Montero, María; Ortiz, Joaquín; Schulz, Kai; Ludwig, Andrea; Riebesell, Ulf;Climate change is expected to alter the intensity and frequency of upwelling in high productive coastal regions, thus impacting nutrient fluxes, primary productivity and consequently carbon cycling. However, it is unknown how these changes will impact the planktonic (phytoplankton and bacteria) community structure, which affects community respiration (CR) and hence the carbon available for sequestration or transfer to upper trophic levels. Here we present results from a 37-day mesocosm experiment where we examined the response of CR to nutrient additions by simulating upwelling events at different intensities (low, medium, high and extreme) and modes (singular and recurring additions). We also analysed the potential contribution of different plankton size classes and functional groups to CR. The trend in accumulated CR with respect to nutrient fertilisation (total nitrogen added during the experiment) was linear in the two modes. Microplankton (mostly diatoms) and nanoplankton (small flagellates) dominated under extreme upwelling intensities and high CR in both singular and recurring upwelling modes, explaining >65% of the observed variability in CR. In contrast, prokaryotic picoplankton (heterotrophic bacteria and autotrophic cyanobacteria) explained <43% of the variance in CR under the rest of the upwelling intensities and modes tested. Changes in planktonic community structure, while modulating CR variability, would regulate the metabolic balance of the ecosystem, shifting it towards net-heterotrophy when the community is dominated by small heterotrophs and to net-autotrophy when large autotrophs prevail; although depending on the mode in which nutrients are supplied to the system. This shift in the dominance of planktonic organism will hence affect not only CR but also carbon sequestration in upwelling regions
OceanRep; Frontiers ... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert OceanRep; Frontiers ... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 United Kingdom, France, France, United Kingdom, Netherlands, United KingdomPublisher:MDPI AG Funded by:EC | FIREEC| FIRESilva, Fabio; Coward, Fiona; Davies, Kimberley; Elliott, Sarah; Jenkins, Emma; Newton, Adrian; Riris, Philip; Linden, Marc Vander; Bates, Jennifer; Cantarello, Elena; Contreras, Daniel A.; Crabtree, Stefani; Crema, Enrico Ryunosuke; Edwards, Mary; Filatova, Tatiana; Fitzhugh, Ben; Fluck, Hannah; Freeman, Jacob; Goldewijk, Kees Klein; Krzyzanska, Marta; Lawrence, Dan; Mackay, Helen; Madella, Marco; Maezumi, S. Yoshi; Marchant, Robert; Monsarrat, Sophie; Morrison, Kathleen D.; Rabett, Ryan; Roberts, Patrick; Saqalli, Mehdi; Stafford, Richard; Svenning, Jens-Christian; Whitehouse, Nicola; Williams, Alice; Integr. Assessm. Global Environm. Change; Environmental Sciences;Human beings are an active component of every terrestrial ecosystem on Earth. Although our local impact on the evolution of these ecosystems has been undeniable and extensively documented, it remains unclear precisely how our activities are altering them, in part because ecosystems are dynamic systems structured by complex, non-linear feedback processes and cascading effects. We argue that it is only by studying human–environment interactions over timescales that greatly exceed the lifespan of any individual human (i.e., the deep past or longue durée), we can hope to fully understand such processes and their implications. In this article, we identify some of the key challenges faced in integrating long-term datasets with those of other areas of sustainability science, and suggest some useful ways forward. Specifically, we (a) highlight the potential of the historical sciences for sustainability science, (b) stress the need to integrate theoretical frameworks wherein humans are seen as inherently entangled with the environment, and (c) propose formal computational modelling as the ideal platform to overcome the challenges of transdisciplinary work across large, and multiple, geographical and temporal scales. Our goal is to provide a manifesto for an integrated scientific approach to the study of socio-ecological systems over the long term. 1. Introduction 2. The Importance of the Longue Durée 3. The Knotty Problem of Humans 4. Transdisciplinary Integration through Computational Modelling 4.1. Modelling as a Platform 4.2. Data Challenges 4.3. The Question of Scale 5. The (Im)practicalities of Transdisciplinarity 6. Concluding Remarks
CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2022Durham Research OnlineArticle . 2022 . Peer-reviewedFull-Text: http://dro.dur.ac.uk/36958/1/36958.pdfData sources: Durham Research Onlineadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su141610234&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 62visibility views 62 download downloads 34 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2022Durham Research OnlineArticle . 2022 . Peer-reviewedFull-Text: http://dro.dur.ac.uk/36958/1/36958.pdfData sources: Durham Research Onlineadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 France, France, Germany, FrancePublisher:Frontiers Media SA Funded by:EC | TRIATLAS, ANR | TADEC| TRIATLAS ,ANR| TADLaetitia Drago; Thelma Panaïotis; Jean-Olivier Irisson; Marcel Babin; Tristan Biard; François Carlotti; François Carlotti; Laurent Coppola; Laurent Coppola; Lionel Guidi; Helena Hauss; Lee Karp-Boss; Fabien Lombard; Fabien Lombard; Andrew M. P. McDonnell; Marc Picheral; Andreas Rogge; Anya M. Waite; Lars Stemmann; Rainer Kiko;Zooplankton plays a major role in ocean food webs and biogeochemical cycles, and provides major ecosystem services as a main driver of the biological carbon pump and in sustaining fish communities. Zooplankton is also sensitive to its environment and reacts to its changes. To better understand the importance of zooplankton, and to inform prognostic models that try to represent them, spatially-resolved biomass estimates of key plankton taxa are desirable. In this study we predict, for the first time, the global biomass distribution of 19 zooplankton taxa (1-50 mm Equivalent Spherical Diameter) using observations with the Underwater Vision Profiler 5, a quantitative in situ imaging instrument. After classification of 466,872 organisms from more than 3,549 profiles (0-500 m) obtained between 2008 and 2019 throughout the globe, we estimated their individual biovolumes and converted them to biomass using taxa-specific conversion factors. We then associated these biomass estimates with climatologies of environmental variables (temperature, salinity, oxygen, etc.), to build habitat models using boosted regression trees. The results reveal maximal zooplankton biomass values around 60°N and 55°S as well as minimal values around the oceanic gyres. An increased zooplankton biomass is also predicted for the equator. Global integrated biomass (0-500 m) was estimated at 0.403 PgC. It was largely dominated by Copepoda (35.7%, mostly in polar regions), followed by Eumalacostraca (26.6%) Rhizaria (16.4%, mostly in the intertropical convergence zone). The machine learning approach used here is sensitive to the size of the training set and generates reliable predictions for abundant groups such as Copepoda (R2 ≈ 20-66%) but not for rare ones (Ctenophora, Cnidaria, R2 < 5%). Still, this study offers a first protocol to estimate global, spatially resolved zooplankton biomass and community composition from in situ imaging observations of individual organisms. The underlying dataset covers a period of 10 years while approaches that rely on net samples utilized datasets gathered since the 1960s. Increased use of digital imaging approaches should enable us to obtain zooplankton biomass distribution estimates at basin to global scales in shorter time frames in the future.
OceanRep; Frontiers ... arrow_drop_down Electronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert OceanRep; Frontiers ... arrow_drop_down Electronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Belgium, France, Germany, United Kingdom, Portugal, Germany, Norway, Denmark, France, FinlandPublisher:Wiley Publicly fundedFunded by:EC | eLTER PLUSEC| eLTER PLUSAuthors: Haubrock, Phillip J.; Ahmed, Danish A.; Cuthbert, Ross N.; Stubbington, Rachel; +36 AuthorsHaubrock, Phillip J.; Ahmed, Danish A.; Cuthbert, Ross N.; Stubbington, Rachel; Domisch, Sami; Marquez, Jaime R. G.; Beidas, Ayah; Amatulli, Giuseppe; Kiesel, Jens; Shen, Longzhu Q.; Soto, Ismael; Angeler, David G.; Bonada, Núria; Cañedo‐Argüelles, Miguel; Csabai, Zoltán; Datry, Thibault; de Eyto, Elvira; Dohet, Alain; Drohan, Emma; England, Judy; Feio, Maria J.; Forio, Marie A. E.; Goethals, Peter; Graf, Wolfram; Heino, Jani; Hudgins, Emma J.; Jähnig, Sonja C.; Johnson, Richard K.; Larrañaga, Aitor; Leitner, Patrick; L'Hoste, Lionel; Lizee, Marie‐Helene; Maire, Anthony; Rasmussen, Jes J.; Schäfer, Ralf B.; Schmidt‐Kloiber, Astrid; Vannevel, Rudy; Várbíró, Gábor; Wiberg‐Larsen, Peter; Haase, Peter;Globalization has led to the introduction of thousands of alien species worldwide. With growing impacts by invasive species, understanding the invasion process remains critical for predicting adverse effects and informing efficient management. Theoretically, invasion dynamics have been assumed to follow an “invasion curve” (S-shaped curve of available area invaded over time), but this dynamic has lacked empirical testing using large-scale data and neglects to consider invader abundances. We propose an “impact curve” describing the impacts generated by invasive species over time based on cumulative abundances. To test this curve's large-scale applicability, we used the data-rich New Zealand mud snail Potamopyrgus antipodarum, one of the most damaging freshwater invaders that has invaded almost all of Europe. Using long-term (1979–2020) abundance and environmental data collected across 306 European sites, we observed that P. antipodarum abundance generally increased through time, with slower population growth at higher latitudes and with lower runoff depth. Fifty-nine percent of these populations followed the impact curve, characterized by first occurrence, exponential growth, then long-term saturation. This behaviour is consistent with boom-bust dynamics, as saturation occurs due to a rapid decline in abundance over time. Across sites, we estimated that impact peaked approximately two decades after first detection, but the rate of progression along the invasion process was influenced by local abiotic conditions. The S-shaped impact curve may be common among many invasive species that undergo complex invasion dynamics. This provides a potentially unifying approach to advance understanding of large-scale invasion dynamics and could inform timely management actions to mitigate impacts on ecosystems and economies. Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347 Horizon 2020 Framework Programme http://dx.doi.org/10.13039/100010661 Kuwait Foundation for the Advancement of Sciences http://dx.doi.org/10.13039/501100003286 Leibniz Competition Leverhulme Trust http://dx.doi.org/10.13039/501100000275 Alexander von Humboldt Foundation http://dx.doi.org/10.13039/100005156 Gulf University for Science and Technology (GUST) http://dx.doi.org/10.13039/100016753 Peer Reviewed
OceanRep; Global Cha... arrow_drop_down OceanRep; Global Change Biology; PURE Aarhus University; Ghent University Academic BibliographyArticle . 2022 . Peer-reviewedLicense: CC BYHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyedoc-Server. Open-Access-Publikationsserver der Humboldt-Universität zu BerlinArticle . 2022 . Peer-reviewedUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2022Data sources: Universitätsbibliographie, Universität Duisburg-EssenHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03748100/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 25 citations 25 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 17visibility views 17 download downloads 14 Powered bymore_vert OceanRep; Global Cha... arrow_drop_down OceanRep; Global Change Biology; PURE Aarhus University; Ghent University Academic BibliographyArticle . 2022 . Peer-reviewedLicense: CC BYHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyedoc-Server. Open-Access-Publikationsserver der Humboldt-Universität zu BerlinArticle . 2022 . Peer-reviewedUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2022Data sources: Universitätsbibliographie, Universität Duisburg-EssenHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03748100/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Other literature type , Preprint , Article 2023 FrancePublisher:Copernicus GmbH Funded by:EC | FACE-IT, EC | INTAROS, NSF | Southern Ocean Carbon and...EC| FACE-IT ,EC| INTAROS ,NSF| Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM)Nicolas Metzl; Jonathan Fin; Claire Lo Monaco; Claude Mignon; Samir Alliouane; David Antoine; Guillaume Bourdin; Jacqueline Boutin; Yann Bozec; Pascal Conan; Laurent Coppola; Frédéric Diaz; Eric Douville; Xavier Durrieu de Madron; Jean-Pierre Gattuso; Frédéric Gazeau; Melek Golbol; Bruno Lansard; Dominique Lefèvre; Nathalie Lefèvre; Fabien Lombard; Férial Louanchi; Liliane Merlivat; Léa Olivier; Anne Petrenko; Sébastien Petton; Mireille Pujo-Pay; Christophe Rabouille; Gilles Reverdin; Céline Ridame; Aline Tribollet; Vincenzo Vellucci; Thibaut Wagener; Cathy Wimart-Rousseau;Total alkalinity (AT) and total dissolved inorganic carbon (CT) in the oceans are important properties to understand the ocean carbon cycle and its link with climate change (ocean carbon sinks and sources) or global change (ocean acidification). We present a data-base of more than 44 400 AT and CT observations in various ocean regions obtained since 1993 mainly in the frame of French projects. This includes both surface and water columns data acquired in open oceans, coastal zones and in the Mediterranean Sea and either from time-series or punctual cruises. Most AT and CT data in this synthesis were measured from discrete samples using the same closed-cell potentiometric titration calibrated with Certified Reference Material, with an overall accuracy of ± 4 µmol kg-1 for both AT and CT. Given the lack of observations in the Indian and Southern Oceans, we added sea surface underway AT and CT data obtained in 1998–2018 in the frame of OISO cruises and in 2019 during the CLIM-EPARSES cruise measured onboard using the same technique. Separate datasets for the global ocean, and for the Mediterranean Sea are provided in a single format (https://doi.org/10.17882/95414, Metzl et al., 2023) that offers a direct use for regional or global purposes, e.g. AT/Salinity relationships, long-term CT estimates, constraint and validation of diagnostics CT-AT reconstructed fields or ocean carbon and coupled climate/carbon models simulations, as well as data derived from BG-ARGO floats. When associated with other properties, these data can also be used to calculate pH, fugacity of CO2 (fCO2) and other carbon systems properties to derive ocean acidification rates or air-sea CO2 fluxes.
Earth System Science... arrow_drop_down https://doi.org/10.5194/essd-2...Preprint . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Earth System Science... arrow_drop_down https://doi.org/10.5194/essd-2...Preprint . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2023-308&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2023 Germany, France, France, France, FrancePublisher:Wiley Funded by:EC | TRIATLAS, EC | AtlantECO, ANR | WWW.PIC +1 projectsEC| TRIATLAS ,EC| AtlantECO ,ANR| WWW.PIC ,ANR| TADPanaïotis, Thelma; Babin, Marcel; Biard, Tristan; Carlotti, François; Coppola, Laurent; Guidi, Lionel; Hauss, Helena; Karp‐Boss, Lee; Kiko, Rainer; Lombard, Fabien; McDonnell, Andrew M. P.; Picheral, Marc; Rogge, Andreas; Waite, Anya M.; Stemmann, Lars; Irisson, Jean‐Olivier;doi: 10.1111/geb.13741
AbstractAimThe distribution of mesoplankton communities has been poorly studied at global scale, especially from in situ instruments. This study aims to (1) describe the global distribution of mesoplankton communities in relation to their environment and (2) assess the ability of various environmental‐based ocean regionalizations to explain the distribution of these communities.LocationGlobal ocean, 0–500 m depth.Time Period2008–2019.Major Taxa StudiedTwenty‐eight groups of large mesoplanktonic and macroplanktonic organisms, covering Metazoa, Rhizaria and Cyanobacteria.MethodsFrom a global data set of 2500 vertical profiles making use of the Underwater Vision Profiler 5 (UVP5), an in situ imaging instrument, we studied the global distribution of large (>600 μm) mesoplanktonic organisms. Among the 6.8 million imaged objects, 330,000 were large zooplanktonic organisms and phytoplankton colonies, the rest consisting of marine snow particles. Multivariate ordination (PCA) and clustering were used to describe patterns in community composition, while comparison with existing regionalizations was performed with regression methods (RDA).ResultsWithin the observed size range, epipelagic plankton communities were Trichodesmium‐enriched in the intertropical Atlantic, Copepoda‐enriched at high latitudes and in upwelling areas, and Rhizaria‐enriched in oligotrophic areas. In the mesopelagic layer, Copepoda‐enriched communities were also found at high latitudes and in the Atlantic Ocean, while Rhizaria‐enriched communities prevailed in the Peruvian upwelling system and a few mixed communities were found elsewhere. The comparison between the distribution of these communities and a set of existing regionalizations of the ocean suggested that the structure of plankton communities described above is mostly driven by basin‐level environmental conditions.Main ConclusionsIn both layers, three types of plankton communities emerged and seemed to be mostly driven by regional environmental conditions. This work sheds light on the role not only of metazoans, but also of unexpected large protists and cyanobacteria in structuring large mesoplankton communities.
Global Ecology and B... arrow_drop_down ArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2023Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Global Ecology and B... arrow_drop_down ArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2023Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/geb.13741&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review 2023 Belgium, Netherlands, Norway, France, Norway, France, France, France, France, Germany, FrancePublisher:Oxford University Press (OUP) Publicly fundedFunded by:ANR | TAD, EC | SUSTUNTECH, EC | FutureMARES +6 projectsANR| TAD ,EC| SUSTUNTECH ,EC| FutureMARES ,EC| AGENSI ,SNSF| Untersuchungen zu möglichen Auswirkungen des Anbaus von transgenen Bacillus thuringiensis (Bt) Maissorten im Feld auf Bodenökosysteme. ,SNSF| Molecular evolution and ecology of Foraminifera and related protists ,EC| ANERIS ,EC| AtlantECO ,EC| MISSION ATLANTICRubbens, Peter; Brodie, Stephanie; Cordier, Tristan; Destro Barcellos, Diogo; Devos, Paul; Fernandes-Salvador, Jose; Fincham, Jennifer; Gomes, Alessandra; Handegard, Nils Olav; Howell, Kerry; Jamet, Cédric; Kartveit, Kyrre Heldal; Moustahfid, Hassan; Parcerisas, Clea; Politikos, Dimitris; Sauzède, Raphaëlle; Sokolova, Maria; Uusitalo, Laura; van den Bulcke, Laure; van Helmond, Aloysius T.M.; Watson, Jordan; Welch, Heather; Beltran-Perez, Oscar; Chaffron, Samuel; Greenberg, David; Kühn, Bernhard; Kiko, Rainer; Lo, Madiop; Lopes, Rubens; Möller, Klas Ove; Michaels, William; Pala, Ahmet; Romagnan, Jean-Baptiste; Schuchert, Pia; Seydi, Vahid; Villasante, Sebastian; Malde, Ketil; Irisson, Jean-Olivier; Whidden, Christopher;Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific disciplines. We first highlight why machine learning is needed in marine ecology. Then we provide a quick primer on machine learning techniques and vocabulary. We built a database of ∼1000 publications that implement such techniques to analyse marine ecology data. For various data types (images, optical spectra, acoustics, omics, geolocations, biogeochemical profiles, and satellite imagery), we present a historical perspective on applications that proved influential, can serve as templates for new work, or represent the diversity of approaches. Then, we illustrate how machine learning can be used to better understand ecological systems, by combining various sources of marine data. Through this coverage of the literature, we demonstrate an increase in the proportion of marine ecology studies that use machine learning, the pervasiveness of images as a data source, the dominance of machine learning for classification-type problems, and a shift towards deep learning for all data types. This overview is meant to guide researchers who wish to apply machine learning methods to their marine datasets. Machine learning in marine ecology: an overview of techniques and applications
OceanRep arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiB; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYHAL Descartes; HAL - Université de Lille; HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04284704/documentHAL - Université de Lille; HAL-IRDArticle . 2023Full-Text: https://hal.science/hal-04254804/documentGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic Bibliographyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 3visibility views 3 Powered bymore_vert OceanRep arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiB; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYHAL Descartes; HAL - Université de Lille; HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04284704/documentHAL - Université de Lille; HAL-IRDArticle . 2023Full-Text: https://hal.science/hal-04254804/documentGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic Bibliographyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 France, GermanyPublisher:Springer Science and Business Media LLC Funded by:EC | MINORGEC| MINORGOliver W. Moore; Lisa Curti; Clare Woulds; James A. Bradley; Peyman Babakhani; Benjamin J. W. Mills; William B. Homoky; Ke-Qing Xiao; Andrew W. Bray; Ben J. Fisher; Majid Kazemian; Burkhard Kaulich; Andrew W. Dale; Caroline L. Peacock;AbstractThe balance between degradation and preservation of sedimentary organic carbon (OC) is important for global carbon and oxygen cycles1. The relative importance of different mechanisms and environmental conditions contributing to marine sedimentary OC preservation, however, remains unclear2–8. Simple organic molecules can be geopolymerized into recalcitrant forms by means of the Maillard reaction5, although reaction kinetics at marine sedimentary temperatures are thought to be slow9,10. More recent work in terrestrial systems suggests that the reaction can be catalysed by manganese minerals11–13, but the potential for the promotion of geopolymerized OC formation at marine sedimentary temperatures is uncertain. Here we present incubation experiments and find that iron and manganese ions and minerals abiotically catalyse the Maillard reaction by up to two orders of magnitude at temperatures relevant to continental margins where most preservation occurs4. Furthermore, the chemical signature of the reaction products closely resembles dissolved and total OC found in continental margin sediments globally. With the aid of a pore-water model14, we estimate that iron- and manganese-catalysed transformation of simple organic molecules into complex macromolecules might generate on the order of approximately 4.1 Tg C yr−1 for preservation in marine sediments. In the context of perhaps only about 63 Tg C yr−1 variation in sedimentary organic preservation over the past 300 million years6, we propose that variable iron and manganese inputs to the ocean could exert a substantial but hitherto unexplored impact on global OC preservation over geological time.
OceanRep; Nature arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for Geosciencesadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41586-023-06325-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert OceanRep; Nature arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for Geosciencesadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41586-023-06325-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Germany, Netherlands, France, United Kingdom, FrancePublisher:Wiley Funded by:EC | eLTER PLUSEC| eLTER PLUSSoto, Ismael; Cuthbert, Ross N.; Ahmed, Danish A.; Kouba, Antonín; Domisch, Sami; Marquez, Jaime R. G.; Beidas, Ayah; Amatulli, Giuseppe; Kiesel, Jens; Shen, Longzhu Q.; Florencio, Margarita; Lima, Herlander; Briski, Elizabeta; Altermatt, Florian; Archambaud‐Suard, Gaït; Borza, Peter; Csabai, Zoltan; Datry, Thibault; Floury, Mathieu; Forcellini, Maxence; Fruget, Jean‐François; Leitner, Patrick; Lizée, Marie‐Hélène; Maire, Anthony; Ricciardi, Anthony; Schäfer, Ralf B.; Stubbington, Rachel; Van der Lee, Gea H.; Várbíró, Gábor; Verdonschot, Ralf C. M.; Haase, Peter; Haubrock, Phillip J.;doi: 10.1111/ddi.13649
AbstractAimInvasive alien species are a growing problem worldwide due to their ecological, economic and human health impacts. The “killer shrimp” Dikerogammarus villosus is a notorious invasive alien amphipod from the Ponto‐Caspian region that has invaded many fresh and brackish waters across Europe. Understandings of large‐scale population dynamics of highly impactful invaders such as D. villosus are lacking, inhibiting predictions of impact and efficient timing of management strategies. Hence, our aim was to assess trends and dynamics of D. villosus as well as its impacts in freshwater rivers and streams.LocationEurope.MethodsWe analysed 96 European time series between 1994 and 2019 and identified trends in the relative abundance (i.e. dominance %) of D. villosus in invaded time series, as well as a set of site‐specific characteristics to identify drivers and determinants of population changes and invasion dynamics using meta‐regression modelling. We also looked at the spread over space and time to estimate the invasion speed (km/year) of D. villosus in Europe. We investigated the impact of D. villosus abundance on recipient community metrics (i.e. abundance, taxa richness, temporal turnover, Shannon diversity and Pielou evenness) using generalized linear models.ResultsPopulation trends varied across the time series. Nevertheless, community dominance of D. villosus increased over time across all time series. The frequency of occurrences (used as a proxy for invader spread) was well described by a Pareto distribution, whereby we estimated a lag phase (i.e. the time between introduction and spatial expansion) of approximately 28 years, followed by a gradual increase before new occurrences declined rapidly in the long term. D. villosus population change was associated with decreased taxa richness, community turnover and Shannon diversity.Main ConclusionOur results show that D. villosus is well‐established in European waters and its abundance significantly alters ecological communities. However, the multidecadal lag phase prior to observed spatial expansion suggests that initial introductions by D. villosus are cryptic, thus signalling the need for more effective early detection methods.
NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2023License: CC BYFull-Text: https://edepot.wur.nl/582077Universitätsbibliographie, Universität Duisburg-EssenArticle . 2023Data sources: Universitätsbibliographie, Universität Duisburg-EssenHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYFull-Text: https://hal.science/hal-03843377/documentHAL Descartes; HAL AMUArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04083170/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/ddi.13649&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 20 citations 20 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2023License: CC BYFull-Text: https://edepot.wur.nl/582077Universitätsbibliographie, Universität Duisburg-EssenArticle . 2023Data sources: Universitätsbibliographie, Universität Duisburg-EssenHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYFull-Text: https://hal.science/hal-03843377/documentHAL Descartes; HAL AMUArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04083170/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/ddi.13649&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Elsevier BV Funded by:EC | BATTERY 2030PLUSEC| BATTERY 2030PLUSAuthors: Xibin Lu; Jean-Marie Tarascon; Jiaqiang Huang;Xibin Lu; Jean-Marie Tarascon; Jiaqiang Huang;International audience; The battery is an indispensable puzzle in the current roadmap towards a carbon-neutral world. With the soaring production, the battery itself is unexpectedly becoming a sustainability problem for society. Increasing attention is thus placed on the life cycle of batteries entailing the second life and recycling of batteries, relying on the monitoring of batteries' state and the classification of retired batteries by sensors. Battery sensors that decode the fundamental physical/chemical processes are thus poised to maximize the quality, reliability, lifetime, and safety of batteries and to minimize the environmental footprint. Fiber optic sensors stand out by virtue of their miniature size, insulating nature, electromagnetic immunity, and versatile sensitivities. In this Perspective, we discuss the promise and challenges of commercializing smart sensing for batteries and highlight how fiber optic sensors can synergize with paradigm shifts, including cell to pack and cell to chassis technologies.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.etran.2022.100207&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.etran.2022.100207&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Germany, France, FrancePublisher:Frontiers Media SA Funded by:EC | TRIATLAS, EC | Ocean artUp, NSF | Support for International...EC| TRIATLAS ,EC| Ocean artUp ,NSF| Support for International Ocean Science Activities Through SCORBaños, Isabel; Arístegui, Javier; Benavides, Mar; Gómez-Letona, Markel; Montero, María; Ortiz, Joaquín; Schulz, Kai; Ludwig, Andrea; Riebesell, Ulf;Climate change is expected to alter the intensity and frequency of upwelling in high productive coastal regions, thus impacting nutrient fluxes, primary productivity and consequently carbon cycling. However, it is unknown how these changes will impact the planktonic (phytoplankton and bacteria) community structure, which affects community respiration (CR) and hence the carbon available for sequestration or transfer to upper trophic levels. Here we present results from a 37-day mesocosm experiment where we examined the response of CR to nutrient additions by simulating upwelling events at different intensities (low, medium, high and extreme) and modes (singular and recurring additions). We also analysed the potential contribution of different plankton size classes and functional groups to CR. The trend in accumulated CR with respect to nutrient fertilisation (total nitrogen added during the experiment) was linear in the two modes. Microplankton (mostly diatoms) and nanoplankton (small flagellates) dominated under extreme upwelling intensities and high CR in both singular and recurring upwelling modes, explaining >65% of the observed variability in CR. In contrast, prokaryotic picoplankton (heterotrophic bacteria and autotrophic cyanobacteria) explained <43% of the variance in CR under the rest of the upwelling intensities and modes tested. Changes in planktonic community structure, while modulating CR variability, would regulate the metabolic balance of the ecosystem, shifting it towards net-heterotrophy when the community is dominated by small heterotrophs and to net-autotrophy when large autotrophs prevail; although depending on the mode in which nutrients are supplied to the system. This shift in the dominance of planktonic organism will hence affect not only CR but also carbon sequestration in upwelling regions
OceanRep; Frontiers ... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fmars.2022.1006010&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert OceanRep; Frontiers ... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fmars.2022.1006010&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 United Kingdom, France, France, United Kingdom, Netherlands, United KingdomPublisher:MDPI AG Funded by:EC | FIREEC| FIRESilva, Fabio; Coward, Fiona; Davies, Kimberley; Elliott, Sarah; Jenkins, Emma; Newton, Adrian; Riris, Philip; Linden, Marc Vander; Bates, Jennifer; Cantarello, Elena; Contreras, Daniel A.; Crabtree, Stefani; Crema, Enrico Ryunosuke; Edwards, Mary; Filatova, Tatiana; Fitzhugh, Ben; Fluck, Hannah; Freeman, Jacob; Goldewijk, Kees Klein; Krzyzanska, Marta; Lawrence, Dan; Mackay, Helen; Madella, Marco; Maezumi, S. Yoshi; Marchant, Robert; Monsarrat, Sophie; Morrison, Kathleen D.; Rabett, Ryan; Roberts, Patrick; Saqalli, Mehdi; Stafford, Richard; Svenning, Jens-Christian; Whitehouse, Nicola; Williams, Alice; Integr. Assessm. Global Environm. Change; Environmental Sciences;Human beings are an active component of every terrestrial ecosystem on Earth. Although our local impact on the evolution of these ecosystems has been undeniable and extensively documented, it remains unclear precisely how our activities are altering them, in part because ecosystems are dynamic systems structured by complex, non-linear feedback processes and cascading effects. We argue that it is only by studying human–environment interactions over timescales that greatly exceed the lifespan of any individual human (i.e., the deep past or longue durée), we can hope to fully understand such processes and their implications. In this article, we identify some of the key challenges faced in integrating long-term datasets with those of other areas of sustainability science, and suggest some useful ways forward. Specifically, we (a) highlight the potential of the historical sciences for sustainability science, (b) stress the need to integrate theoretical frameworks wherein humans are seen as inherently entangled with the environment, and (c) propose formal computational modelling as the ideal platform to overcome the challenges of transdisciplinary work across large, and multiple, geographical and temporal scales. Our goal is to provide a manifesto for an integrated scientific approach to the study of socio-ecological systems over the long term. 1. Introduction 2. The Importance of the Longue Durée 3. The Knotty Problem of Humans 4. Transdisciplinary Integration through Computational Modelling 4.1. Modelling as a Platform 4.2. Data Challenges 4.3. The Question of Scale 5. The (Im)practicalities of Transdisciplinarity 6. Concluding Remarks
CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2022Durham Research OnlineArticle . 2022 . Peer-reviewedFull-Text: http://dro.dur.ac.uk/36958/1/36958.pdfData sources: Durham Research Onlineadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su141610234&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 62visibility views 62 download downloads 34 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2022Durham Research OnlineArticle . 2022 . Peer-reviewedFull-Text: http://dro.dur.ac.uk/36958/1/36958.pdfData sources: Durham Research Onlineadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su141610234&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 France, France, Germany, FrancePublisher:Frontiers Media SA Funded by:EC | TRIATLAS, ANR | TADEC| TRIATLAS ,ANR| TADLaetitia Drago; Thelma Panaïotis; Jean-Olivier Irisson; Marcel Babin; Tristan Biard; François Carlotti; François Carlotti; Laurent Coppola; Laurent Coppola; Lionel Guidi; Helena Hauss; Lee Karp-Boss; Fabien Lombard; Fabien Lombard; Andrew M. P. McDonnell; Marc Picheral; Andreas Rogge; Anya M. Waite; Lars Stemmann; Rainer Kiko;Zooplankton plays a major role in ocean food webs and biogeochemical cycles, and provides major ecosystem services as a main driver of the biological carbon pump and in sustaining fish communities. Zooplankton is also sensitive to its environment and reacts to its changes. To better understand the importance of zooplankton, and to inform prognostic models that try to represent them, spatially-resolved biomass estimates of key plankton taxa are desirable. In this study we predict, for the first time, the global biomass distribution of 19 zooplankton taxa (1-50 mm Equivalent Spherical Diameter) using observations with the Underwater Vision Profiler 5, a quantitative in situ imaging instrument. After classification of 466,872 organisms from more than 3,549 profiles (0-500 m) obtained between 2008 and 2019 throughout the globe, we estimated their individual biovolumes and converted them to biomass using taxa-specific conversion factors. We then associated these biomass estimates with climatologies of environmental variables (temperature, salinity, oxygen, etc.), to build habitat models using boosted regression trees. The results reveal maximal zooplankton biomass values around 60°N and 55°S as well as minimal values around the oceanic gyres. An increased zooplankton biomass is also predicted for the equator. Global integrated biomass (0-500 m) was estimated at 0.403 PgC. It was largely dominated by Copepoda (35.7%, mostly in polar regions), followed by Eumalacostraca (26.6%) Rhizaria (16.4%, mostly in the intertropical convergence zone). The machine learning approach used here is sensitive to the size of the training set and generates reliable predictions for abundant groups such as Copepoda (R2 ≈ 20-66%) but not for rare ones (Ctenophora, Cnidaria, R2 < 5%). Still, this study offers a first protocol to estimate global, spatially resolved zooplankton biomass and community composition from in situ imaging observations of individual organisms. The underlying dataset covers a period of 10 years while approaches that rely on net samples utilized datasets gathered since the 1960s. Increased use of digital imaging approaches should enable us to obtain zooplankton biomass distribution estimates at basin to global scales in shorter time frames in the future.
OceanRep; Frontiers ... arrow_drop_down Electronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fmars.2022.894372&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert OceanRep; Frontiers ... arrow_drop_down Electronic Publication Information CenterArticle . 2022Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fmars.2022.894372&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Belgium, France, Germany, United Kingdom, Portugal, Germany, Norway, Denmark, France, FinlandPublisher:Wiley Publicly fundedFunded by:EC | eLTER PLUSEC| eLTER PLUSAuthors: Haubrock, Phillip J.; Ahmed, Danish A.; Cuthbert, Ross N.; Stubbington, Rachel; +36 AuthorsHaubrock, Phillip J.; Ahmed, Danish A.; Cuthbert, Ross N.; Stubbington, Rachel; Domisch, Sami; Marquez, Jaime R. G.; Beidas, Ayah; Amatulli, Giuseppe; Kiesel, Jens; Shen, Longzhu Q.; Soto, Ismael; Angeler, David G.; Bonada, Núria; Cañedo‐Argüelles, Miguel; Csabai, Zoltán; Datry, Thibault; de Eyto, Elvira; Dohet, Alain; Drohan, Emma; England, Judy; Feio, Maria J.; Forio, Marie A. E.; Goethals, Peter; Graf, Wolfram; Heino, Jani; Hudgins, Emma J.; Jähnig, Sonja C.; Johnson, Richard K.; Larrañaga, Aitor; Leitner, Patrick; L'Hoste, Lionel; Lizee, Marie‐Helene; Maire, Anthony; Rasmussen, Jes J.; Schäfer, Ralf B.; Schmidt‐Kloiber, Astrid; Vannevel, Rudy; Várbíró, Gábor; Wiberg‐Larsen, Peter; Haase, Peter;Globalization has led to the introduction of thousands of alien species worldwide. With growing impacts by invasive species, understanding the invasion process remains critical for predicting adverse effects and informing efficient management. Theoretically, invasion dynamics have been assumed to follow an “invasion curve” (S-shaped curve of available area invaded over time), but this dynamic has lacked empirical testing using large-scale data and neglects to consider invader abundances. We propose an “impact curve” describing the impacts generated by invasive species over time based on cumulative abundances. To test this curve's large-scale applicability, we used the data-rich New Zealand mud snail Potamopyrgus antipodarum, one of the most damaging freshwater invaders that has invaded almost all of Europe. Using long-term (1979–2020) abundance and environmental data collected across 306 European sites, we observed that P. antipodarum abundance generally increased through time, with slower population growth at higher latitudes and with lower runoff depth. Fifty-nine percent of these populations followed the impact curve, characterized by first occurrence, exponential growth, then long-term saturation. This behaviour is consistent with boom-bust dynamics, as saturation occurs due to a rapid decline in abundance over time. Across sites, we estimated that impact peaked approximately two decades after first detection, but the rate of progression along the invasion process was influenced by local abiotic conditions. The S-shaped impact curve may be common among many invasive species that undergo complex invasion dynamics. This provides a potentially unifying approach to advance understanding of large-scale invasion dynamics and could inform timely management actions to mitigate impacts on ecosystems and economies. Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347 Horizon 2020 Framework Programme http://dx.doi.org/10.13039/100010661 Kuwait Foundation for the Advancement of Sciences http://dx.doi.org/10.13039/501100003286 Leibniz Competition Leverhulme Trust http://dx.doi.org/10.13039/501100000275 Alexander von Humboldt Foundation http://dx.doi.org/10.13039/100005156 Gulf University for Science and Technology (GUST) http://dx.doi.org/10.13039/100016753 Peer Reviewed
OceanRep; Global Cha... arrow_drop_down OceanRep; Global Change Biology; PURE Aarhus University; Ghent University Academic BibliographyArticle . 2022 . Peer-reviewedLicense: CC BYHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyedoc-Server. Open-Access-Publikationsserver der Humboldt-Universität zu BerlinArticle . 2022 . Peer-reviewedUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2022Data sources: Universitätsbibliographie, Universität Duisburg-EssenHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03748100/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.16207&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 25 citations 25 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 17visibility views 17 download downloads 14 Powered bymore_vert OceanRep; Global Cha... arrow_drop_down OceanRep; Global Change Biology; PURE Aarhus University; Ghent University Academic BibliographyArticle . 2022 . Peer-reviewedLicense: CC BYHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyedoc-Server. Open-Access-Publikationsserver der Humboldt-Universität zu BerlinArticle . 2022 . Peer-reviewedUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2022Data sources: Universitätsbibliographie, Universität Duisburg-EssenHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03748100/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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