Paper| Year: | 2015 |
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| Author(s): | J. Aguzzi, C. Doya, S. Tecchio, F.C. De Leo, E. Azzurro, C. Costa, V. Sbragaglia, J. Del Río, J. Navarro, H. A. Ruhl, J. B. Company, P. Favalli, A. Purser, L. Thomsen, I.A. Catalán |
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| Title: | Coastal observatories for monitoring of fish behaviour and their responses to environmental changes |
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| Journal: | REVIEWS IN FISH BIOLOGY AND FISHERIES |
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| ISSN: | 0960-3166 |
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| JCR Impact Factor: | 3.222 |
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| Volume: | 25 |
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| Issue No.: | 3 |
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| Pages: | 463-483 |
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| D.O.I.: | 10.1007/s11160-015-9387-9 |
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| Web: | |
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| Abstract: | 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. |
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Related staffIgnacio A. Catalán AlemanyRelated projectsREC2Related research groupsMarine Ecosystems Dynamics
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