RT Journal Article
T1 A marine biodiversity observation network for genetic monitoring of hard-bottom communities (ARMS-MBON)
A1 Obst, Matthias
A1 Exter, Katrina
A1 Allcock, A. Louise
A1 Arvanitidis, Christos
A1 Axberg, Alizz
A1 Bustamante, Maria
A1 Cancio, Ibon
A1 Carreira Flores, Diego
A1 Chatzinikolaou, Eva
A1 Chatzigeorgiou, Giorgos
A1 Chrismas, Nathan
A1 Clark, Melody S.
A1 Comtet, Thierry
A1 Dailianis, Thanos
A1 Davies, Neil
A1 Deneudt, Klaas
A1 Diaz de Cerio, Oihane
A1 Fortič, Ana
A1 Gerovasileiou, Vasilis
A1 Hablützel, Pascal I.
A1 Keklikoglou, Kleoniki
A1 Kotoulas, Georgios
A1 Lasota, Rafal
A1 Leite, Barbara R.
A1 Loisel, Stéphane
A1 Lévêque, Laurent
A1 Levy, Liraz
A1 Malachowicz, Magdalena
A1 Mavrič, Borut
A1 Meyer, Christopher
A1 Mortelmans, Jonas
A1 Norkko, Joanna
A1 Pade, Nicolas
A1 Power, Anne Marie
A1 Ramšak, Andreja
A1 Reiss, Henning
A1 Solbakken, Jostein
A1 Staehr, Peter A.
A1 Sundberg, Per
A1 Thyrring, Jakob
A1 Souza Troncoso, Jesús
A1 Viard, Frédérique
A1 Wenne, Roman
A1 Yperifanou, Eleni Ioanna
A1 Zbawicka, Malgorzata
A1 Pavloudi, Christina
K1 2401 Biología Animal (Zoología)
K1 2417.13 Ecología Vegetal
K1 2510.04 Botánica Marina
AB 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              ).
PB Frontiers in Marine Science
SN 22967745
YR 2020
FD 2020-11-30
LK http://hdl.handle.net/11093/2151
UL http://hdl.handle.net/11093/2151
LA eng
NO Frontiers in Marine Science, 7, 572680 (2020)
NO European Marine Biological Resource Centre
DS Investigo
RD 19-ene-2025