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Mission Atlantic
http://www.missionatlantic.eu/
Periode: September 2020 tot Augustus 2025
Status: Gestart

Thesaurustermen: Atlantic Ocean; Bio-informatica data-integratie en netwerkbiologie; Biologische oceanografie; Mariene ecologie; PRINC_FUND - 3758 - H2020 - Voedselveiligheid, duurzame landbouw, marien en maritiem onderzoek en bio-economie
 Instituten | Publicaties | Datasets 
Instituten (18)  Top | Publicaties | Datasets 
  • Vlaams Instituut voor de Zee (VLIZ), meer, partner
  • South African National Biodiversity Institute (SANBI), meer, partner
  • Instituto de Estudos do Mar Almirante Paulo Moreira (IEAPM), meer, partner
  • AZTI, Marine Research; Basque Research and Technology Alliance (BRTA) (AZTI), meer, partner
  • University of Plymouth (UOP), meer, partner
  • Arctic Technology Centre, meer, coördinator
  • Institute of Marine Research (IMR), meer, partner
  • Marine Biological Association of the UK (MBA), meer, partner
  • National Marine Biological Library (PML), meer, partner
  • Universidad Pablo de Olavide de Sevilla (UPO), meer, partner
  • Collecte Localisation Satellites (CLS), meer, partner
  • University of St Andrews (USTAN), meer, partner
  • University of Southampton; National Oceanography Centre (NOC), meer, partner
  • Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), meer, partner
  • Marine Institute Ireland (MI), meer, partner
  • Spanish Ministry of Economy and Competiveness; Instituto Español de Oceanografía (IEO), meer, partner
  • International Council for the Exploration of the Sea (ICES), meer, partner
  • Federal University of Santa Catarina (UFSC), meer, partner
Abstract
Mission Atlantic wil het gecumuleerd effect van verschillende stressoren op de Atlanticsche Oceaan onderzoeken. Dit project zal een geïntegreerd ecosysteem assessment opzetten voor verschillende subregios van de Atlantische Oceaan, gebruik maken van bestaande data en nieuwe observatie technologieën. VLIZ is verantwoordelijk voor het databeheer.
Datasets (31)  Top | Instituten | Publicaties 
  • 2022_SEELAZ: Afonso P., Verhelst P., Priester R., Reubens J. 2022. Silver eel migration behaviour in the Azores., meer
  • 2021_YEELAZ: Afonso P., Verhelst P., Reubens J. 2021. Yellow eel movement behaviour in the Azores., meer
  • Arosio, R.; Hobley, B.; Wheeler, A.; Sacchetti, F.; Conti, L.; Furey, T.; Lim, A.; University College Cork (UCC), Ireland; (2024): Morphological map of the Irish continental shelf created using Deep Learning., meer
  • Arosio, Riccardo; Wheeler, Andrew; Sacchetti, Fabio; Guinan, Janine; Benetti, Sara; O'Keeffe, Eimear; van Landeghem, Katrien; Conti, Luis; Furey, Thomas; Lim, Aaron. (2023) Irish Shelf Seabed Geomorphological Map v2023. Marine Institute, Ireland., meer
  • Bridges, A.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled distribution map of Lophelia Reef and Pheronema aggregations in the North East Atlantic in 2022., meer
  • Chauhan, A.; Mariani, P.; Technical University of Denmark (DTU), Denmark; (2023): Global marine heat waves: frequency, classification and distribution from 1996-2020., meer
  • Cordeiro C M M, Quimbayo J P, Silveira T, Ferreira C E L (2021): Long-term Ecological Monitoring Research Brazilian Oceanic Islands (reef fish). Tropical and Subtropical Western South Atlantic OBIS. Dataset/Samplingevent., meer
  • Currie, J. C., Atkinson, L. J., Amoroso, R. O., & Fairweather, T. P. (2021). Spatial distribution of South African demersal trawl activity, 2005-2018 [Data set]. Nelson Mandela University., meer
  • Ferrari, D. S.; Floeter S.; Federal University of Santa Catarina (UFSC), Brazil; (2024): Reef fish communities of Mid-Atlantic ridge islands: Expeditions in Ascension (2015), Saint Peter and Saint Paul Archipelago (2018-2019), and Saint Helena (2023), meer
  • Galli G.; Artioli Y.; Harle J.; Holt J.; Plymouth Marine Laboratory (PML), England; (2023): Climatological monthly means from the global hydrodynamic-biogeochemical model NEMO-ERSEM, hindcast from 1980-2019, biogeochemistry variables. , meer
  • Galli G.; Artioli Y.; Harle J.; Holt J.; Plymouth Marine Laboratory (PML), England; (2023): Climatological monthly means from the global hydrodynamic-biogeochemical model NEMO-ERSEM, hindcast from 1980-2019, physical variables. , meer
  • González-Irusta, José Manuel; Fauconnet, Laurence; Das, Diya; Catarino, Diana; Afonso, Pedro; Viegas, Cláudia Neto; Rodrigues, Luís; Menezes, Gui M; Rosa, Alexandra; Pinho, Mário Rui Rilhó; Silva, Hélder Marques da; Giacomello, Eva; Morato, Telmo (2022): Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2,000m depth) using Generalized Additive Models. PANGAEA., meer
  • Graves K.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled distribution map of Solenosmilia variabilis reef in the Northeast Atlantic in 2021., meer
  • Graves K.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled distribution map of Sea pens and burrowing megafauna in the Northeast Atlantic in 2021., meer
  • Graves K.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled distribution map of Solitary Scleractinian fields in the Northeast Atlantic in 2021., meer
  • Graves K.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled distribution map of discrete Lophelia pertusa colonies in the North East Atlantic in 2021., meer
  • Graves K.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled distribution map of mixed cold-water coral community in the Northeast Atlantic in 2021., meer
  • Graves K.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled distribution map of Acanella arbuscula assemblage in the North East Atlantic in 2021., meer
  • Graves, K.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled distribution map of Syringammina fragilissima fields in the North East Atlantic in 2021., meer
  • Lohengrin, F.; Moura, L.; Guilherme, C.; Reis, C.; Matos, T.; Figueredo, B.; Coutinho, R.; Institute of Sea Studies Admiral Paulo Moreira (IEAPM), Brazilian Navy; Department of Marine Biotechnology, Brazil (2020). Coastal Cabo Frio Upwelling Plankton community analyzed with FlowCam., meer
  • Matos, T.; Reis, C.; Fernandes, L.; Coutinho, R.; Moura, L.; Institute of Sea Studies Admiral Paulo Moreira (IEAPM), Brazilian Navy; Department of Marine Biotechnology, Brazil (2024): Zooplankton time-series at the Cabo Frio Upwelling System in the South Brazilian Shelf., meer
  • McQuaid K.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Hierarchical benthic habitat classification in the Atlantic Ocean., meer
  • McQuaid K.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Non-Hierarchical benthic habitat classification in the Atlantic Ocean., meer
  • Piechaud, N.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled density map of Syringammina fragillissima at a fine scale from the Rockall Bank in North East Atlantic between 1981-2010., meer
  • Reis, C.; Matos, T.; Fernandes, L.; Coutinho, R.; Moura, L.; Institute of Sea Studies Admiral Paulo Moreira (IEAPM), Brazilian Navy; Department of Marine Biotechnology, Brazil (2024): 3D mapping of plankton distribution in the Cabo Frio Upwelling System in the South Brazilian Shelf., meer
  • Rix J.; Graves K.; Piechaud N.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled distribution map of Kophobelemnon stelliferum assemblage in the North East Atlantic in 2021., meer
  • Tempera F.; Sinde-Mano A.L.; Gomes Pereira J.N.; Atchoi E.; de Matos V.; Santos S.V.; Milla-Figueras D.; Das D.; Graça G.; Fontes J.; Bates R.; Ribeiro P.; Afonso P.; IMAR-Institute of Marine Research, University of the Azores, Portugal; (2021): Black coral occurrences on the Azores shelves (central north Atlantic) from 1991 to 2019., meer
  • Tempera F.; Sinde-Mano A.L.; Gomes Pereira J.N.;Das D.; Graça G.; Afonso P.; IMAR-Institute of Marine Research, University of the Azores, Portugal; (2021): Circalittoral faunal turf occurrences on the Azores shelves (central north Atlantic) from 2005 to 2018, meer
  • Tempera F.; Sinde-Mano A.L.; Quartau R.; Rebelo A.C.; Graça G.; Das D.; Milla i Figueras D.; Bates R.; Ramos M.; Isidro E.; Afonso P.; IMAR-Institute of Marine Research, University of the Azores, Portugal; (2021): Rhodolith occurrences in the Azores (central north Atlantic) between 1998 and 2018., meer
  • Valle, M.; Ramirez-Romero, E.; Ibaibarriaga, L.; Citores, L.; Fernandes-Salvador, J. A.; Chust, G.; AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Spain; Instituto de Ciencias Marinas de Andalucía (ICMAN) - Consejo Superior de Investigaciones Científicas (CSIC), Spain; (2024): 3D habitat suitability maps of the 30 main commercial fish species from the Atlantic region., meer
  • Valle, M.; Ramirez-Romero, E.; Ibaibarriaga, L.; Citores, L.; Fernandes-Salvador, J. A.; Chust, G.; AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Spain; Instituto de Ciencias Marinas de Andalucía (ICMAN) - Consejo Superior de Investigaciones Científicas (CSIC), Spain; (2024): Potential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean., meer
Publicaties (28)  Top | Instituten | Datasets 
  • Otto, S.A.; Kadin, M.; Casini, M.; Torres, M.A.; Blenckner, T. (2018). A quantitative framework for selecting and validating food web indicators. Ecol. Indic. 84: 619-631. https://dx.doi.org/10.1016/j.ecolind.2017.05.045, meer
  • Smit, K.P.; Van Niekerk, L.; Harris, L.R.; McQuatters-Gollop, A.; Shannon, L.J.; Sink, K.J. (2022). A Roadmap to advance marine and coastal monitoring, biodiversity assessment, and international reporting: A developing nation perspective. Front. Mar. Sci. 9: 886373. https://dx.doi.org/10.3389/fmars.2022.886373, meer
  • Ferrari, D.S.; Floeter, S.R.; Leprieur, F.; Quimbayo, J.P. (2023). A trait‐based approach to marine island biogeography. J. Biogeogr. 50(3): 528-538. https://dx.doi.org/10.1111/jbi.14549, meer
  • Polejack, A.; Gruber, S.; Wisz, M.S. (2021). Atlantic Ocean science diplomacy in action: the pole-to-pole All Atlantic Ocean Research Alliance. Humanities & Social Sciences Communications 8(1): 52. https://hdl.handle.net/10.1057/s41599-021-00729-6, meer
  • McQuaid, K.A.; Bridges, A.E.H.; Howell, K.L.; Gandra, T.B.R.; de Souza, V.; Currie, J.C.; Hogg, O.T.; Pearman, T.R.R.; Bell, J.B.; Atkinson, L.J.; Baum, D.; Bonetti, J.; Carranza, A.; Defeo, O.; Furey, T.; Gasalla, M.A.; Golding, N.; Hampton, S.L.; Horta, S.; Jones, D.O.B.; Lombard, A.T.; Manca, E.; Marín, Y.; Martin, S.; Mortensen, P.; Passadore, C.; Piechaud, N.; Sink, K.J.; Yool, A. (2023). Broad-scale benthic habitat classification of the South Atlantic. Prog. Oceanogr. 214: 103016. https://dx.doi.org/10.1016/j.pocean.2023.103016, meer
  • Mariani, P.; Bachmayer, R.; Kosta, S.; Pietrosemoli, E.; Ardelan, M.V.; Connelly, D.P.; Delory, E.; Pearlman, J.S.; Petihakis, G.; Thompson, F.; Crise, A. (2021). Collaborative automation and IoT technologies for coastal ocean observing systems. Front. Mar. Sci. 8: 647368. https://dx.doi.org/10.3389/fmars.2021.647368, meer
  • Chauhan, A.; Smith, P.A.H.; Rodrigues, F.; Christensen, A.; St. John, M.; Mariani, P. (2023). Distribution and impacts of long-lasting marine heat waves on phytoplankton biomass. Front. Mar. Sci. 10: 1177571. https://dx.doi.org/10.3389/fmars.2023.1177571, meer
  • Das, D.; González-Irusta, J.M.; Morato, T.; Fauconnet, L.; Catarino, D.; Afonso, P.; Viegas, C.; Rodrigues, L.; Menezes, G.; Rosa, A.; Pinho, M.R.R.; Marques da Silva, H.; Giacomello, E. (2022). Distribution models of deep-sea elasmobranchs in the Azores, Mid-Atlantic Ridge, to inform spatial planning. Deep-Sea Res., Part 1, Oceanogr. Res. Pap. 182: 103707. https://dx.doi.org/10.1016/j.dsr.2022.103707, meer
  • Piechaud, N.; Howell, K.L. (2022). Fast and accurate mapping of fine scale abundance of a VME in the deep sea with computer vision. Ecological Informatics 71: 101786. https://dx.doi.org/10.1016/j.ecoinf.2022.101786, meer
  • Payne, M.; Keenlyside, N.S.; Bearzotti, C.; de Jong, M.F.; Fritz, J.-S.; Grist, H.; Ketelhake, S.; Meller, L. (2020). Forecasting fish distribution and abundance in the Atlantic Ocean: The challenge of balancing exploitation and sustainability: Blue-Action policy briefing. Blue-Action: [s.l.]. 10 pp. https://doi.org/10.5281/zenodo.4289934, meer
  • Arosio, R.; Hobley, B.; Wheeler, A.J.; Sacchetti, F.; Conti, L.A.; Furey, T.; Lim, A. (2023). Fully convolutional neural networks applied to large-scale marine morphology mapping. Front. Mar. Sci. 10: 1228867. https://dx.doi.org/10.3389/fmars.2023.1228867, meer
  • Villarino, E.; Watson, J.R.; Chust, G.; Woodill, A.J.; Klempay, B.; Jonsson, B.; Gasol, J.M.; Logares, R.; Massana, R.; Giner, C.R.; Salazar, G.; Alvarez-Salgado, X.A.; Catalá, T.S.; Duarte, C.M.; Agusti, S.; Mauro, F.; Irigoien, X.; Barton, A.D. (2022). Global beta diversity patterns of microbial communities in the surface and deep ocean. Glob. Ecol. Biogeogr. 31(11): 2323-2336. https://dx.doi.org/10.1111/geb.13572, meer
  • Erauskin-Extramiana, M.; Chust, G.; Arrizabalaga, H.; Cheung, W.W.L.; Santiago, J.; Merino, G.; Fernandes-Salvador, J.A. (2023). Implications for the global tuna fishing industry of climate change-driven alterations in productivity and body sizes. Global Planet. Change 222: 104055. https://dx.doi.org/10.1016/j.gloplacha.2023.104055, meer
  • Rodrigues, A.R.; Floeter, S.R.; Gomes, V.; Ferrari, D.S.; Giglio, V.J.; Silva, F.C.; Liedke, A.M.R.; Ferreira, C.E.L.; Howell, K.; Gasalla, M.A. (2023). Integrated ecosystem assessment around islands of the tropical South Mid-Atlantic Ridge. Front. Mar. Sci. 10: 1001676. https://dx.doi.org/10.3389/fmars.2023.1001676, meer
  • Sink, K.J.; Adams, L.A.; Franken, M.-L.; Harris, L.R.; Currie, J.; Karenyi, N.; Dayaram, A.; Porter, S.; Kirkman, S.; Pfaff, M.; Van Niekerk, L.; Atkinson, L.J.; Bernard, A.; Bessinger, M.; Cawthra, H.; de Wet, W.; Dunga, L.; Filander, Z.; Green, A.; Herbert, D.; Holness, S.; Lamberth, S.; Livingstone, T.; Lück-Vogel, M.; MacKay, F.; Makwela, M.; Palmer, R.; Van Zyl, W.; Skowno, A. (2023). Iterative mapping of marine ecosystems for spatial status assessment, prioritization, and decision support. Front. Ecol. Evol. 11: 1108118. https://dx.doi.org/10.3389/fevo.2023.1108118, meer
  • Ostle, C.; Landschützer, P.; Edwards, M.; Johnson, M.; Schmidtko, S.; Schuster, U.; Watson, A.J.; Robinson, C. (2022). Multidecadal changes in biology influence the variability of the North Atlantic carbon sink. Environ. Res. Lett. 17(11): 114056. https://dx.doi.org/10.1088/1748-9326/ac9ecf, meer
  • Tittensor, Derek P.; Novaglio, Camilla; Harrison, Cheryl S.; Heneghan, Ryan F.; Barrier, Nicolas; Bianchi, Daniele; Bopp, Laurent; Bryndum-Buchholz, Andrea; Britten, Gregory L.; Büchner, Matthias; Cheung, William W. L.; Christensen, Villy; Coll, Marta; Dunne, John P.; Eddy, Tyler D.; Everett, Jason D.; Fernandes-Salvador, Jose A.; Fulton, Elizabeth A.; Galbraith, Eric D.; Gascuel, Didier; Guiet, Jerome; John, Jasmin G.; Link, Jason S.; Lotze, Heike K.; Maury, Olivier; Ortega-Cisneros, Kelly; Palacios-Abrantes, Juliano; Petrik, Colleen M.; du Pontavice, Hubert; Rault, Jonathan; Richardson, Anthony J.; Shannon, Lynne; Shin, Yunne-Jai; Steenbeek, Jeroen; Stock, Charles A.; Blanchard, Julia L. (2021). Next-generation ensemble projections reveal higher climate risks for marine ecosystems. Nat. Clim. Chang. 11(11): 973-981. https://dx.doi.org/10.1038/s41558-021-01173-9, meer
  • Astarloa, A.; Glennie, R.; Chust, G.; García-Barón, I.; Boyra, G.; Martinez, U.; Rubio, A.; Louzao, M. (2021). Niche segregation mechanisms in marine apex predators inhabiting dynamic environments. Diversity Distrib. 27(5): 799-815. https://dx.doi.org/10.1111/ddi.13229, meer
  • Mayor, D.J.; Gentleman, W.C.; Anderson, T.R. (2020). Ocean carbon sequestration: particle fragmentation by copepods as a significant unrecognised factor? BioEssays 42(12): 2000149. https://dx.doi.org/10.1002/bies.202000149, meer
  • Pedreschi, D.; Niiranen, S.; Skern-Mauritzen, M.; Reid, D.G. (2023). Operationalising ODEMM risk assessment for Integrated Ecosystem Assessment scoping: Complexity vs. manageability. Front. Mar. Sci. 9: 1037878. https://dx.doi.org/10.3389/fmars.2022.1037878, meer
  • Valle, M.; Ramirez-Romero, E.; Ibaibarriaga, L.; Citores, L.; Fernandes-Salvador, J.A.; Chust, G. (2024). Pan-Atlantic 3D distribution model incorporating water column for commercial fish. Ecol. Model. 490: 110632. https://dx.doi.org/10.1016/j.ecolmodel.2024.110632, meer
  • Howell, K.L.; Bridges, A.E.; Graves, K.P.; Allcock, L.; la Bianca, G.; Ventura-Costa, C.; Donaldson, S.; Downie, A.L.; Furey, T.; McGrath, F.; Ross, R. (2022). Performance of deep-sea habitat suitability models assessed using independent data, and implications for use in area-based management. Mar. Ecol. Prog. Ser. 695: 33-51. https://dx.doi.org/10.3354/meps14098, meer
  • Pereira Gabellini, A.; Mariani, P.; Christensen, A. (2023). Population connectivity and dynamics in early-life stages of Atlantic fish communities. Front. Mar. Sci. 10: 1141726. https://dx.doi.org/10.3389/fmars.2023.1141726, meer
  • Rosa, J.; Matos, T.; da Silva, D.; Reis, C.; Dias, C.; Konno, T.; Dias de Almeida Fernandes, L. (2023). Seasonal changes in the size distribution of copepods is affected by coastal upwelling. Diversity 15(637): 1-17. https://dx.doi.org/10.3390/d15050637, meer
  • Graves, K.P. (2022). The application of habitat suitability modelling to mapping VME distribution in the deep sea to inform spatial management. MSc Thesis. University of Plymouth: Plymouth. 114 pp. https://dx.doi.org/10.24382/876, meer
  • Ostle, C.; Paxman, K.; Graves, C.A.; Arnold, M.; Artigas, L.F.; Atkinson, A.; Aubert, A.; Baptie, M.; Bear, B.; Bedford, J.; Best, M.; Bresnan, E.; Brittain, R.; Broughton, D.; Budria, A.; Cook, K.; Devlin, M.; Graham, G.; Halliday, N.; Hélaouët, P.; Johansen, M.; Johns, D.G.; Lear, D.; Machairopoulou, M.; McKinney, A.; Mellor, A.; Milligan, A.; Pitois, S.; Rombouts, I.; Scherer, C.; Tett, P.; Widdicombe, C.; McQuatters-Gollop, A. (2021). The Plankton Lifeform Extraction Tool: a digital tool to increase the discoverability and usability of plankton time-series data. ESSD 13(12): 5617-5642. https://dx.doi.org/10.5194/essd-13-5617-2021, meer
  • Baco, A.R.; Ross, R.; Althaus, F.; Amon, D.; Bridges, A.E.H.; Brix, S.; Buhl-Mortensen, P.; Colaço, A.; Carreiro-Silva, M.; Clark, M.R.; Du Preez, C.; Franken, M.-L.; Gianni, M.; Gonzalez-Mirelis, G.; Hourigan, T.; Howell, K.; Levin, L.A.; Lindsay, D.J.; Molodtsova, T.N.; Morgan, N.; Morato, T.; Mejia-Mercado, B.E.; O’Sullivan, D.; Pearman, T.; Price, D.; Robert, K.; Robson, L.; Rowden, A.A.; Taylor, J.; Taylor, M.; Victorero, L.; Watling, L.; Williams, A.; Xavier, J.R.; Yesson, C. (2023). Towards a scientific community consensus on designating Vulnerable Marine Ecosystems from imagery. PeerJ 11: e16024. https://dx.doi.org/10.7717/peerj.16024, meer
  • Silva, F.C.; Floeter, S.R.; Lindegren, M.; Quimbayo, J.P. (2023). Warming-induced changes in reef fish community traits in the Southwestern Atlantic transition zone. Mar. Ecol. Prog. Ser. 710: 107-123. https://dx.doi.org/10.3354/meps14288, meer
Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Instituten | Publicaties | Datasets