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Coastal observatories for monitoring of fish behaviour and their responses to environmental changes

Aguzzi, J.; Doya, C.; Tecchio, S.; De Leo, F.C.; Azzurro, E.; Costa, C.; Sbragaglia, V.; Del Río, J.; Navarro, J.; Ruhl, H.A.; Company, J.B.; Favali, P.; Purser, A.; Thomsen, L.; Catalán, I.A.. 2015 Coastal observatories for monitoring of fish behaviour and their responses to environmental changes. Reviews in Fish Biology and Fisheries, 25 (3). 463-483. 10.1007/s11160-015-9387-9

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© Springer Science+Business Media B.V. 2015 This document is the author’s final manuscript version of the journal article, incorporating any revisions agreed during the peer review process. Some differences between this and the publisher’s version remain. You are advised to consult the publisher’s version if you wish to cite from this article. The final publication is available at link.springer.com
Aguzzi_PROOFS.pdf - Accepted Version

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Abstract/Summary

The inclusion of behavioral components in the analysis of a community can be of paramount importance in marine ecology. Diel (i.e., 24-h based), seasonal activity rhythms, or longer durational in behavioral responses can result in shifts in populations, and therefore on measurable abundances. Here, we review the value of developing cabled video observatory technology for the remote, long-term, and high-frequency monitoring of fish and their environments in coastal temperate areas. We provide details on the methodological requirements and constraints for the appropriate measurement of fish behavior over various seasonal scales (24 h, seasonal, annual) with camera systems mounted at fixed observatory locations. We highlight the importance of using marine sensors to simultaneously collect relevant environmental data in parallel to image data acquisition. Here we present multiparametric video, oceanographic, and meteorological data collected from the Mediterranean observatory platform, OBSEA (www.​obsea.​es; 20 m water depth). These data are reviewed in relation to ongoing and future developments of cabled observatory science. Two key approaches for the future improvement of cabled observatory technology are: (1) the application of Artificial Intelligence to aid in the analysis of increasingly large, complex, and highly interrelated biological and environmental data sets, and (2) the development of geographical observational networks to enable the reliable spatial analysis of observed populations over extended distances.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1007/s11160-015-9387-9
ISSN: 0960-3166
Additional Keywords: Cabled observatories, OBSEA, EMSO, Fish assemblages, Multivariate statistics, Crawler, Citizen Science
NORA Subject Terms: Marine Sciences
Date made live: 06 Oct 2015 13:50 +0 (UTC)
URI: http://nora.nerc.ac.uk/id/eprint/511962

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