Reviews in Fish Biology and Fisheries

, Volume 25, Issue 3, pp 463–483 | Cite as

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

  • J. AguzziEmail author
  • 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. Favali
  • A. Purser
  • L. Thomsen
  • I. A. Catalán


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 (; 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.


Cabled observatories OBSEA EMSO Fish assemblages Multivariate statistics Crawler Citizen Science 



This research was funded by RITFIM (CTM2010-16274) and European Multidisciplinary Seafloor Observation (EMSO Preparatory Phase-FP7 Infrastructures-2007-1, Proposal 211816). Researchers from CSIC-UPC are members of the Associated Unit Tecnoterra. The paper was also partially funded by the Helmholtz Alliance “Robotic Exploration of Extreme Environments (ROBEX)” project. I.A. Catalán was partially supported by REC2 from the Spanish Government, CTM2011-23835. English revision was assisted by A. Purser and V. Radovanovic.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • J. Aguzzi
    • 1
    Email author
  • C. Doya
    • 1
  • S. Tecchio
    • 2
  • F. C. De Leo
    • 3
  • E. Azzurro
    • 4
  • C. Costa
    • 5
  • V. Sbragaglia
    • 1
  • J. Del Río
    • 6
  • J. Navarro
    • 1
  • H. A. Ruhl
    • 7
  • J. B. Company
    • 1
  • P. Favali
    • 8
    • 9
  • A. Purser
    • 10
  • L. Thomsen
    • 10
  • I. A. Catalán
    • 11
  1. 1.Institut de Ciències del Mar (ICM-CSIC)BarcelonaSpain
  2. 2.Normandie Université UNICAEN, UMR BOREA (MNHN, UPMC, CNRS-7208, IRD-207)Caen Cedex 5France
  3. 3.Ocean Networks Canada (ONC), University of VictoriaVictoriaCanada
  4. 4.Institute for Environmental Protection and Research (ISPRA)LeghornItaly
  5. 5.Consiglio per la Ricerca e la sperimentazione in Agricoltura, Unità di ricerca per l’ingegneria agraria (CRA)Monterotondo ScaloItaly
  6. 6.SARTI Research Group, Electronics DepartmentUniversitat Politècnica de Catalunya (UPC)Vilanova i la GeltrúSpain
  7. 7.National Oceanography Centre (NOC)University of Southampton Waterfront CampusSouthamptonUK
  8. 8.Istituto Nazionale di Geofisica e Vulcanologia (INGV)RomeItaly
  9. 9.European Multidisciplinary Seafloor and Water-Column Observatory (EMSO) Interim OfficeRomeItaly
  10. 10.Jacobs UniversityBremenGermany
  11. 11.Instituto Mediterráneo de Estudios Avanzados, IMEDEA (CSIC-UIB)EsporlesSpain

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