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ARMS-MBON data on long-term monitoring and biodiversity assessment of invasive and indigenous hard-bottom communities
Citatie
Obst, M.; Pavloudi, C.; Gerovasileiou, V.; Exter, K.; Department of Marine Sciences; Faculty of Science. University of Gothenburg: Sweden; Institute of Marine Biology, Biotechnology and Aquaculture. Hellenic Centre for Marine Research: Greece; Flanders Marine Institute: Belgium; (2020): ARMS-MBON data on long-term monitoring and biodiversity assessment of invasive and indigenous hard-bottom communities. https://marineinfo.org/id/dataset/8135
Contact:
Obst, Matthias ;
Beschikbaarheid:
 Deze dataset valt onder een Creative Commons Naamsvermelding 4.0 Internationaal-licentie.Beschrijving
ARMS-MBON is a network >25 partners who deploy Autonomous Reef Monitoring Structures (ARMS) in the vicinity of marine stations and LTER sites in European coastal waters and Ant/arctica. After a few months the units are brought up, and visual, photographic, and genetic assessments are made of the organisms on them. These data will be used to assess the status of, and changes in, the hard-bottom communities of these near-coast environments. The project began in 2018 and in 2023 it will be merged into EMBRC's EMO-BON project. The data here are a spreadsheet with the event metadata and the ENA accession numbers (only for the events that resulted in ENA data), and a spreadsheet with the download links to the images and visual observations made during the sampling events. This data is continuously updated as new events are completed, new sequences are added to ENA, and new image data are created. More data and all documentation can be found on the ARMS-MBON GitHub repository. Scope Thema's: Biologie > Ecologie - biodiversiteit Kernwoorden: ASSEMBLEPlus Joint Research Activity 1, Bentische gemeenschappen, Biodiversiteit, Genomics, Invasive species, Langetermijnveranderingen, Abra de Bilbao, ANE, British Isles, England, Plymouth Sound, ANE, Denmark, Limfjorden, ANE, France, Brittany, Morlaix Bay, ANE, Sweden, Gotland, Tjarno, Belgian part of the North Sea, Costa da Vela, Isfjorden, ISW, Aqaba Gulf, Karlsoyvaer, MED, Greece, Crete, Heraklion, Nordre Älvs Estuarium, Sälöfjorden, Tapelsåsen-Lindöviken-Heimlax, Zatoka Pucka Geografische spreiding Abra de Bilbao [Marine Regions] ANE, British Isles, England, Plymouth Sound [Marine Regions] ANE, Denmark, Limfjorden [Marine Regions] ANE, France, Brittany, Morlaix Bay [Marine Regions] ANE, Sweden, Gotland, Tjarno [Marine Regions] Belgian part of the North Sea [Marine Regions] Costa da Vela [Marine Regions] Isfjorden [Marine Regions] ISW, Aqaba Gulf [Marine Regions] Karlsoyvaer [Marine Regions] MED, Greece, Crete, Heraklion [Marine Regions] Nordre Älvs Estuarium [Marine Regions] Sälöfjorden [Marine Regions] Tapelsåsen-Lindöviken-Heimlax [Marine Regions] Zatoka Pucka [Marine Regions] Spreiding in de tijd
18 April 2018 - 8 Juni 2020 Bijdrage door
Gerelateerde datasets
Dataset delen: ARMS 2018 dataset on long-term monitoring and biodiversity assessment of invasive and indigenous hard-bottom communities, meer ARMS-MBON data on long-term monitoring of hard-bottom communities: 18S results from 2018-2020, meer ARMS-MBON data on long-term monitoring of hard-bottom communities: COI results from 2018-2020, meer ARMS-MBON data on long-term monitoring of hard-bottom communities: ITS results from 2018-2020, meer EMBRC-BE Joint Development Activity: Optimisation of in-situ sampling from ARMS in dynamic coastal environments, meer Project
Publicatie
Gebaseerd op deze dataset
van Berkel, D. (2022). Early detection and diversity of benthic alien species along the northeast Atlantic Ocean coastline. MSc Thesis. Department of Marine Sciences, University of Gothenburg/Marine Animal Ecology: Göteborg/Wageningen. 14 pp., meer
Axberg, A. (2021). Comparing genetic methods: Detecting and monitoring non-indigenous species. MSc Thesis. Department of Marine Sciences, University of Gothenburg: Göteborg. 35 pp., meer
Obst, M. et al. (2020). A Marine Biodiversity Observation Network for genetic monitoring of hard-bottom communities (ARMS-MBON). Front. Mar. Sci. 7: 572680. https://dx.doi.org/10.3389/fmars.2020.572680, meer
Dataset status: Gestart
Data type: Data
Data oorsprong: Monitoring: veldonderzoek
Datum van vrijgave: 2022-10-26
Metadatarecord aangemaakt: 2022-10-26
Informatie laatst gewijzigd: 2023-08-29
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