-
Academic Journal
-
Matthias Obst
Katrina Exter
A. Louise Allcock
Christos Arvanitidis
Alizz Axberg
Maria Bustamante
Ibon Cancio
Diego Carreira-Flores
Eva Chatzinikolaou
Giorgos Chatzigeorgiou
Nathan Chrismas
Melody S. Clark
Thierry Comtet
Thanos Dailianis
Neil Davies
Klaas Deneudt
Oihane Diaz de Cerio
Ana Fortič
Vasilis Gerovasileiou
Pascal I. Hablützel
Kleoniki Keklikoglou
Georgios Kotoulas
Rafal Lasota
Barbara R. Leite
Stéphane Loisel
Laurent Lévêque
Liraz Levy
Magdalena Malachowicz
Borut Mavrič
Christopher Meyer
Jonas Mortelmans
Joanna Norkko
Nicolas Pade
Anne Marie Power
Andreja Ramšak
Henning Reiss
Jostein Solbakken
Peter A. Staehr
Per Sundberg
Jakob Thyrring
Jesus S. Troncoso
Frédérique Viard
Roman Wenne
Eleni Ioanna Yperifanou
Malgorzata Zbawicka
Christina Pavloudi -
Frontiers in Marine Science, Vol 7 (2020)
-
article
-
English
Additional Information
Frontiers Media S.A., 2020.
2020
LCC:Science
LCC:General. Including nature conservation, geographical distribution
LCC:General. Including nature conservation, geographical distribution
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).
electronic resource
2296-7745
https://www.frontiersin.org/articles/10.3389/fmars.2020.572680/full; https://doaj.org/toc/2296-7745
10.3389/fmars.2020.572680
edsdoj.b12a71438ed94b6e9bed7d25941228c5