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A Marine Biodiversity Observation Network for Genetic Monitoring of Hard-Bottom Communities (ARMS-MBON)

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  • Matthias Obst, University of Gothenburg
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  • Katrina Exter, Flanders Marine Institute
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  • A. Louise Allcock, National University of Ireland, Galway
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  • Christos Arvanitidis, Hellenic Centre for Marine Research, LifeWatch ERIC
  • ,
  • Alizz Axberg, University of Gothenburg
  • ,
  • Maria Bustamante, University of the Basque Country
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  • Ibon Cancio, University of the Basque Country
  • ,
  • Diego Carreira-Flores, University of Minho, University of Santiago de Compostela, University of Trás-os Montes and Alto Douro
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  • Eva Chatzinikolaou, Hellenic Centre for Marine Research
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  • Giorgos Chatzigeorgiou, Hellenic Centre for Marine Research
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  • Nathan Chrismas, Marine Biological Association of the UK
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  • Melody S. Clark, British Antarctic Survey, NERC Natural Environment Research Council, NERC British Antarctic Survey, Storbritannien
  • Thierry Comtet, Sorbonne Université
  • ,
  • Thanos Dailianis, Hellenic Centre for Marine Research
  • ,
  • Neil Davies, University of California Berkeley
  • ,
  • Klaas Deneudt, Flanders Marine Institute
  • ,
  • Oihane Diaz de Cerio, LifeWatch ERIC
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  • Ana Fortič, National Institute of Biology
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  • Vasilis Gerovasileiou, Hellenic Centre for Marine Research
  • ,
  • Pascal I. Hablützel, Flanders Marine Institute
  • ,
  • Kleoniki Keklikoglou, Hellenic Centre for Marine Research
  • ,
  • Georgios Kotoulas, Hellenic Centre for Marine Research
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  • Rafal Lasota, University of Gdansk
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  • Barbara R. Leite, University of Minho, Toralla Marine Science Station
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  • Stéphane Loisel, Sorbonne Université
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  • Laurent Lévêque, Sorbonne Université
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  • Liraz Levy, The Interuniversity Institute of Marine Sciences in Eilat
  • ,
  • Magdalena Malachowicz
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  • Borut Mavrič
  • ,
  • Christopher Meyer
  • ,
  • Jonas Mortelmans
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  • Joanna Norkko
  • ,
  • Nicolas Pade
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  • Anne Marie Power
  • ,
  • Andreja Ramšak
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  • Henning Reiss
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  • Jostein Solbakken
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  • Peter A. Staehr
  • Per Sundberg, University of Gothenburg
  • ,
  • Jakob Thyrring
  • Jesus S. Troncoso, University of Minho, Toralla Marine Science Station
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  • Frédérique Viard, Sorbonne Université, Universite de Montpellier
  • ,
  • Roman Wenne, Institute of Oceanology of the Polish Academy of Sciences, Polen
  • Eleni Ioanna Yperifanou, Hellenic Centre for Marine Research
  • ,
  • Malgorzata Zbawicka, Polish Academy of Sciences,
  • Christina Pavloudi, Hellenic Centre for Marine Research
Marine hard-bottom communities are undergoing severe change under the influence of multiple drivers, notably climate change, extraction of natural resources, pollution and eutrophication, habitat degradation, and invasive species. Monitoring marine biodiversity in such habitats is, however, challenging as it typically involves expensive, non-standardized, and often destructive sampling methods that limit its scalability. Differences in monitoring approaches furthermore hinders inter-comparison among monitoring programs. Here, we announce a Marine Biodiversity Observation Network (MBON) consisting of Autonomous Reef Monitoring Structures (ARMS) with the aim to assess the status and changes in benthic fauna with genomic-based methods, notably DNA metabarcoding, in combination with image-based identifications. This article presents the results of a 30-month pilot phase in which we established an operational and geographically expansive ARMS-MBON. The network currently consists of 20 observatories distributed across European coastal waters and the polar regions, in which 134 ARMS have been deployed to date. Sampling takes place annually, either as short-term deployments during the summer or as long-term deployments starting in spring. The pilot phase was used to establish a common set of standards for field sampling, genetic analysis, data management, and legal compliance, which are presented here. We also tested the potential of ARMS for combining genetic and image-based identification methods in comparative studies of benthic diversity, as well as for detecting non-indigenous species. Results show that ARMS are suitable for monitoring hard-bottom environments as they provide genetic data that can be continuously enriched, re-analyzed, and integrated with conventional data to document benthic community composition and detect non-indigenous species. Finally, we provide guidelines to expand the network and present a sustainability plan as part of the European Marine Biological Resource Centre (www.embrc.eu).
OriginalsprogEngelsk
Artikelnummer572680
TidsskriftFrontiers in Marine Science
Vol/bind7
Antal sider9
ISSN2296-7745
DOI
StatusUdgivet - nov. 2020

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