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ARMS-MBON data on long-term monitoring and biodiversity assessment of invasive and indigenous hard-bottom communities
Citation
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 ;
Availability:
 This dataset is licensed under a Creative Commons Attribution 4.0 International License.Description
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 Themes: Biology > Ecology - biodiversity Keywords: ASSEMBLEPlus Joint Research Activity 1, Benthic communities, Biodiversity, Genomics, Invasive species, Long-term changes, 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 Geographical coverage 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] Temporal coverage
18 April 2018 - 8 June 2020 Contributors
Related datasets
Child datasets: ARMS 2018 dataset on long-term monitoring and biodiversity assessment of invasive and indigenous hard-bottom communities, more ARMS-MBON data on long-term monitoring of hard-bottom communities: 18S results from 2018-2020, more ARMS-MBON data on long-term monitoring of hard-bottom communities: COI results from 2018-2020, more ARMS-MBON data on long-term monitoring of hard-bottom communities: ITS results from 2018-2020, more EMBRC-BE Joint Development Activity: Optimisation of in-situ sampling from ARMS in dynamic coastal environments, more Project
Publication
Based on this 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., more
Axberg, A. (2021). Comparing genetic methods: Detecting and monitoring non-indigenous species. MSc Thesis. Department of Marine Sciences, University of Gothenburg: Göteborg. 35 pp., more
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, more
Dataset status: In Progress
Data type: Data
Data origin: Monitoring: field survey
Release date: 2022-10-26
Metadatarecord created: 2022-10-26
Information last updated: 2023-08-29
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