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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. 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. Favali
  • A. Purser
  • L. Thomsen
  • I. A. Catalán
Reviews

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.

Keywords

Cabled observatories OBSEA EMSO Fish assemblages Multivariate statistics Crawler Citizen Science 

Notes

Acknowledgments

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.

References

  1. Aguzzi J, Bahamon N (2009) Modelled day-night biases in decapod assessment by bottom trawling survey. Fish Res 100:274–280Google Scholar
  2. Aguzzi J, Company JB (2010) Chronobiology of deep-water decapod crustaceans on continental margins. Adv Mar Biol 58:155–225PubMedGoogle Scholar
  3. Aguzzi J, Bahamon N, Marotta L (2009a) The influence of light availability and predatory behaviour of the decapod crustacean Nephrops norvegicus on the activity rhythms of continental margin prey decapods. Mar Ecol 30:366–375Google Scholar
  4. Aguzzi J, Costa C, Fujiwara Y, Iwase R, Ramirez-Llorda E, Menesatti P (2009b) A novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna. Sensors Basel 9:8438–8455PubMedCentralPubMedGoogle Scholar
  5. Aguzzi J, Costa C, Menesatti P, Fujiwara Y, Iwase R, Ramirez-Llodra E (2009c) A novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna. Sensors Basel 9:8438–8455PubMedCentralPubMedGoogle Scholar
  6. Aguzzi J, Costa C, Furushima Y, Chiesa JJ, Company JB, Menesatti P, Iwase R, Fujiwara Y (2010) Behavioural rhythms of hydrocarbon seep fauna in relation to internal tides. Mar Ecol Prog Ser 418:47–56Google Scholar
  7. Aguzzi J, Company JB, Costa C, Menesatti P, Garcia JA, Bahamon N, Puig P, Sardà F (2011a) Activity rhythms in the deep-sea: a chronobiological approach. Front Biosci 16:131–150Google Scholar
  8. Aguzzi J, Costa C, Robert K, Matabos M, Antonucci F, Juniper K, Menesatti P (2011b) Automated image analysis for the detection of benthic crustaceans and bacterial mat coverage using the VENUS undersea cabled network. Sensors Basel 11:10534–10556PubMedCentralPubMedGoogle Scholar
  9. Aguzzi J, Manuél A, Condal F, Guillén J, Nogueras M, Del Río J, Costa C, Menesatti P, Puig P, Sardà F, Toma D, Palanques A (2011c) The new SEAfloor OBservatory (OBSEA) for remote and long-term coastal ecosystem monitoring. Sensors Basel 11:5850–5872PubMedCentralPubMedGoogle Scholar
  10. Aguzzi J, Company JB, Costa C, Matabos M, Azzurro E, Mànuel A, Menesatti P, Sardà F, Canals M, Delory E, Cline D, Favali P, Juniper SK, Furushima Y, Fujiwara Y, Chiesa JJ, Marotta L, Priede IM (2012a) Challenges to assessment of benthic populations and biodiversity as a result of rhythmic behaviour: video solutions from cabled observatories. Ocean Mar Biol Ann Rev 50:235–286Google Scholar
  11. Aguzzi J, Jamieson AJ, Fujii T, Sbragaglia V, Costa C, Menesatti P, Fujiwara Y (2012b) Shifting feeding behaviour of deep-sea Buccinid gastropods at natural and simulated food falls. Mar Ecol Prog Ser 458:247–253Google Scholar
  12. Aguzzi J, Sbragaglia V, Santamaría G, Del Río J, Sardà F, Nogueras M, Manuel A (2013) Daily activity rhythms in temperate coastal fishes: insights from cabled observatory video monitoring. Mar Ecol Prog Ser 486:223–236Google Scholar
  13. Albouy C, Guilhaumoun F, Aráujo MB, Mouillot D, Leprieur F (2012) Combining projected changes in species richness and composition reveals climate change impacts on coastal Mediterranean fish assemblages. Glob Change Biol 18:2995–3003Google Scholar
  14. Alós J, March D, Palmer M, Grau A, Morales-Nin B (2011) Spatial and temporal patterns in Serranus cabrilla habitat use in the NW Mediterranean revealed by acoustic telemetry. Mar Ecol Prog Ser 427:173–186Google Scholar
  15. Antonucci F, Costa C, Aguzzi J, Cataudella S (2009) Ecomorphology of morpho-functional relationships in the family of Sparidae: a quantitative statistic approach. J Morphol 270:843–855PubMedGoogle Scholar
  16. Assis J, Claro B, Ramos A, Boavida J, Serrão EA (2013) Performing fish counts with a wide-angle camera, a promising approach reducing divers’ limitations. J Exp Mar Biol Ecol 445:93–98Google Scholar
  17. Attrill MJ, Power M (2002) Climatic influence on a marine fish assemblage. Nature 417:275–278PubMedGoogle Scholar
  18. Azzurro E, Pais A, Consoli P, Andaloro F (2007) Evaluating day-night changes in shallow Mediterranean rocky reef fish assemblages by visual census. Mar Biol 151:2245–2253Google Scholar
  19. Azzurro E, Moschella P, Maynou F (2011) Tracking signals of change in Mediterranean fish diversity based on Local Ecological Knowledge. PLoS ONE 6:e24885PubMedCentralPubMedGoogle Scholar
  20. Azzurro E, Aguzzi J, Maynou F, Chiesa JJ, Savini D (2013) Diel rhythms in shallow Mediterranean rocky-reef fishes: a chronobiological approach with the help of trained volunteers. J Mar Biol Ass UK 93:461–470Google Scholar
  21. Bahamon N, Aguzzi J, Sardà F (2009) Fuzzy diel pattern in commercial catchability of deep water continental margin species. ICES J Mar Sci 66:2211–2218Google Scholar
  22. Barans CA, Arendt MD, Moore T, Schmidt D (2005) Remote video revisited: a visual technique for conducting long-term monitoring of reef fishes on the continental shelf. Mar Technol Soc J 39:110–118Google Scholar
  23. Beauxis-Aussalet E, Palazzo S, Nadarajan G, Arslanova E, Spampinato C, Hardman L (2013) A video processing and data retrieval framework for fish population monitoring. In: Proceedings of the 2nd ACM international workshop on Multimedia analysis for ecological data (MAED ‘13). ACM, New York, pp 15–20. doi:  10.1145/2509896.2509906
  24. Becker A, Whitfield AK, Cowley PD, Järnegren J, Næsje TF (2013) Potential effects of artificial light associated with anthropogenic infrastructure on the abundance and foraging behaviour of estuary-associated fishes. J Appl Ecol 50:43–50Google Scholar
  25. Block BA, Jonsen ID, Jorgensen SJ, Winship AJ, Shaffer SA, Bograd SJ, Hazen EL, Foley DG, Breed GA, Harrison A-L, Ganong JE, Swithenbank A, Castleton M, Dewar H, Mate BR, Shillinger GL, Schaefer KK, Benson SR, Weise MJ, Herny RW, Costa DP (2011) Tracking apex marine predator movements in a dynamic ocean. Nature 475:86–90PubMedGoogle Scholar
  26. Bouchet P (2006) The exploration of marine biodiversity. Fundación BBVA MadridGoogle Scholar
  27. Chabanet P, Loiseau N, Join J-L, Ponton D (2012) VideoSolo, an autonomous video system for high-frequency monitoring of aquatic biota, applied to coral reef fishes in the Glorioso Islands (SWIO). J Exp Mar Biol Ecol 430:10–16Google Scholar
  28. Cheung WWL, Watson R, Pauly D (2013) Signature of ocean warming in global fisheries catch. Nature 497:365–369PubMedGoogle Scholar
  29. Chierici F, Favali P, Beranzoli L, De Santis A, Embriaco D, Giovanetti G, Marinaro G, Monna S, Pignagnoli L, Riccobene G, Bruni F, Gasparoni F (2012) NEMO-SN1 (Western Ionian Sea, off Eastern Sicily): a cabled abyssal observatory with tsunami early warning capability, ISOPE-Int Soc. Offshore and Polar Engineers, Proc 22nd Int. Offshore and Polar Engineering Conf., Rhodes, July 17-22, ISBN:978-1-880653-94-4, ISSN:1098-6189Google Scholar
  30. Condal F, Aguzzi J, Sardà F, Nogueras M, Cadena J, Costa C, Del Río J, Mànuel A (2012) Seasonal rhythm in a Mediterranean coastal fish community as monitored by a cabled observatory. Mar Biol 159:2809–2817Google Scholar
  31. Conrad JL, Weinersmith KL, Brodin T, Saltz JB, Sih A (2011) Behavioural syndromes in fishes: a review with implications for ecology and fisheries management. J Fish Biol 78:395–435PubMedGoogle Scholar
  32. Cooke SJ, Suski CD, Ostrand KG, Wahl DH, Philipp DP (2007) Physiological and behavioral consequences of long-term artificial selection for vulnerability to recreational angling in a teleost fish. Physiol Biochem Zool 80:480–490PubMedGoogle Scholar
  33. Corgnati L, Mazzei L, Marini S, Stefano A, Alessandra C, Annalisa G, Bruno I, Ennio O (2014) Automated gelatinous zooplankton acquisition and recognition. Proceedings of the Computer Vision for Analysis of Underwater Imagery (CVAUI):1–8Google Scholar
  34. Costa C, Scardi M, Vitalini V, Cataudella S (2009) A dual camera system for counting and sizing Northern Bluefin Tuna (Thunnus thynnus; Linnaeus, 1758) stock, during transfer to aquaculture cages, with a semi-automatic Artificial Neural Network tool. Aquacult 291:161–167Google Scholar
  35. Costa C, Antonucci F, Pallottino F, Aguzzi J, Sun DW, Menesatti P (2011) Shape analysis of agricultural products: a review of recent research advances and potential application to computer vision. Food Bioproc Technol 4:673–692Google Scholar
  36. Davis T, Harasti D, Smith SDA (2014) Compensating for length biases in underwater visual census of fishes using stereo video measurements. Mar Freshwat Res (in press). doi  10.1071/MF14076
  37. De Leo FC, Smith CR, Rowden AA, Bowden D, Clark M (2010) Submarine canyons: hotspots of benthic biomass and productivity in the deep-sea. Proc Roy Soc B 277:2783–2792Google Scholar
  38. Del Río J, Aguzzi J, Hidalgo A, Bghiel I, Manuel A, Sardà F (2013a) Citizen Science and marine community monitoring by video-cabled observatories: The OBSEA Citizen Science Project. Proc UT-13 IEEE-Tokyo 1-3:doi: 10.1109/UT.2013.6519842
  39. Del Río J, Aguzzi J, Costa C, Menesatti P, Sbragaglia V, Nogueras M, Sardà F, Manuèl A (2013b) A new colorimetrically-calibrated automated video-imaging protocol for the day-night fish counting at the OBSEA coastal cabled observatory. Sensors 13:14740–14750Google Scholar
  40. Delgado C, Wada N, Rosegrant M, Meijer S, Ahmed M (2003) Outlook for fish to 2020: meeting global demand. Food Policy Report, International Food Policy Research Institute, WashingtonGoogle Scholar
  41. Dickinson JL, Zuckerberg B, Bonter DN (2010) Citizen science as an ecological research tool: challenges and benefits. Ann Rev Ecol Evol Syst 41:149–172Google Scholar
  42. Doya C, Aguzzi J, Pardo M, Matabos M, Company JB, Costa C, Milhaly S (2013a) Diel behavioral rhythms in the sablefish (Anoplopoma fimbria) and other benthic species, as recorded by deep-sea cabled observatories in Barkley canyon (NEPTUNE-Canada). J Mar Syst 130:69–78Google Scholar
  43. Doya C, Aguzzi J, Purser A, Thompsen L, Company JB, Matabos M (2013b) A diel and seasonal deep-sea faunal monitoring by crawler within the Barkely canyon (NEPTUNE-Canada). 5th International symposium on chemosynthesis-based ecosystems (CBE-5). 18-23 August 2013. University of Victoria, Victoria (Canada)Google Scholar
  44. Dulcic J, Fencil M, Matic-Skoko S, Kraljevic M, Glamuzina B (2004) Diel catch variations in a shallow-water fish assemblage at Duce Glava, eastern Adriatic (Croatian Coast). J Mar Biol Ass UK 84:659–664Google Scholar
  45. Dulvy NK, Rogers SL, Jennings S, Stelzenmüller V, Dye SR, Skjoldsl HR (2008) Climate change and deepening of the North Sea fish assemblage: a biotic indicator of warming seas. J App Ecol 45:1029–1039Google Scholar
  46. Ehrlén J, Morris WF (2015) Predicting changes in the distribution and abundance of species under environmental change. Ecol Lett (in press)Google Scholar
  47. Esteban M, Cuesta A, Chaves-Pozo E, Meseguer J (2013) Influence of melatonin on the immune system of fish: a review. Int J Mol Sci 14:7979–7999PubMedCentralPubMedGoogle Scholar
  48. Favali P, Beranzoli L (2006) Seafloor observatory science: a review. Ann Geoph 49:515–567Google Scholar
  49. Favali P, Beranzoli L, D’Anna G, Gasparoni F, Marvaldi J, Clauss G, Gerber HW, Nicot M, Marani MP, Gamberi F, Millot C, Flueh ER (2006) A fleet of multiparameter observatories for geophysical and environmental monitoring at seafloor. Ann Geoph 49:659–680Google Scholar
  50. Favali P, Person R, Barnes CR, Kaneda Y, Delaney JR, Hsu S-K (2010) Seafloor observatory science. In: Hall J, Harrison D.E, Stammer D (eds.), Proceedings of the OceanObs’09: Sustained Ocean. Observations and Information for Society conference 2, Venice, Italy, 21–25 September 2009, ESA Publication. WPP-306 ISSN:1609-042X. doi:  10.5270/OceanObs09.cwp28
  51. Favali P, Chierici F, Marinaro G, Giovanetti G, Azzarone A, Beranzoli L, De Santis A, Embriaco D, Monna S, Lo Bue N, Sgroi T, Cianchini G, Badiali L, Qamili E, De Caro M, Falcone G, Montuori C, Frugoni F, Riccobene G, Sedita M, Barbagallo G, Cacopardo G, Calì C, Cocimano R, Coniglione R, Costa M, D’Amico A, Del Tevere F, Distefano C, Ferrera F, Giordano V, Imbesi M, Lattuada D, Migneco E, Musumeci M, Orlando A, Papaleo R, Piattelli P, Raia G, Rovelli A, Sapienza P, Speziale F, Trovato A, Viola S, Ameli F, Bonori M, Capone A, Masullo R, Simeone F, Pignagnoli L, Zitellini N, Bruni F, Gasparoni F, Pavan G (2013) NEMO-SN1 abyssal cabled observatory in the western ionian sea. IEEE J Ocean Eng 38(2):358–374Google Scholar
  52. Fischer S, Patzner RA, Müller CH, Winkler HM (2007) Studies on the ichthyofauna of the coastal waters of Ibiza (Balearic Islands, Spain). Rostocker Meer Beiträge 18:30–62Google Scholar
  53. Food and Agriculture Organization of the United Nations—FAO (2014) The state of worlds fisheries and aquaculture, RomeGoogle Scholar
  54. Glover AG, Gooday AJ, Bailey DM, Billet DSM, Chevaldonné P, Colaço A, Copley J, Cuvelier D, Desbruyères D, Kalogeropoulou V, Klages M, Lampadariuou N, Lejeusne C, Mestre NC, Paterson GLJ, Perez T, Ruhl HA, Sarrazin J, Soltwedel T, Soto EH, Thatje S, Tselepides A, Van Gaever S, Vanreusel A (2010) Temporal changes in deep-sea benthic ecosystems: a review of the evidence from recent time-series studies. Adv Mar Biol 58:1–95PubMedGoogle Scholar
  55. Grange LJ, Smith CR (2013) Megafaunal communities in rapidly warming fjords along the West Antarctic peninsula: hotspots of abundance and Beta diversity. PlosOne 8:e77917Google Scholar
  56. Han J, Honda N, Asada A, Shibata K (2009) Automated acoustic method for counting and sizing farmed fish during transfer using DIDSON. Fish Sci 75:1359–1367Google Scholar
  57. Harmelin-Vivien ML, Francour P (2008) Trawling or visual censuses? Methodological bias in the assessment of fish populations in seagrass beds. Ecology 3:41–51Google Scholar
  58. Harvey ES, Newman SJ, McLean DL, Cappo M, Meeuwig JJ, Skepper CL (2012) Comparison of the relative efficiencies of stereo-BRUVs and traps for sampling tropical continental shelf demersal fishes. Fish Res 125–126:108–120Google Scholar
  59. Hawkins SJ, Southward AJ, Genner MJ (2003) Detection of environmental change in a marine ecosystem-evidence from the western English Channel. Sci Tot Env 310:245–256Google Scholar
  60. Holyoak M, Casagrandi R, Nathan R, Revilla E, Speigel O (2008) Trends and missing parts in the study of movement ecology. Proc Nat Acad Sci 105:19060–19065PubMedCentralPubMedGoogle Scholar
  61. Horodysky AZ, Brill RW, Warrant EJ, Musick JA, Latour RJ (2010) Comparative visual function in four piscivorous fishes inhabiting Chesapeake Bay. J Exp Biol 213:1751–1761PubMedGoogle Scholar
  62. Hut RA, Kronfeld-Schor N, van der Vinne V, De la Iglesia H (2012) In search of a temporal niche: environmental factors. Progr Brain Res 199:281–304Google Scholar
  63. Irigoyen AJ, Galván DE, Venerus LA, Parma AM (2012) Variability in abundance of temperate reef fishes estimated by visual census. PLoS ONE 8:e61072Google Scholar
  64. Jørgensen C, Peck ME, Antognarelli F, Azzurro E, Burrows MT, Cheung WW, Cucco A, Holt R, Hueber KB, Marras S, Mckeinz D, Metcalf J, Perez-Ruzafa A, Sinerchia M, Sfeffensen JF, Teal LR, Domenici P (2012) Conservation physiology of marine fishes: advancing the predictive capacity of models. Biol Lett 8:900–903PubMedCentralPubMedGoogle Scholar
  65. Kasaya T, Mitsuzawa K, Goto TN, Iwase R, Sayanagi K, Araki E, Nagao T (2009) Trial of multidisciplinary observation at an expandable sub-marine cabled station “off-Hatsushima Island Observatory” in Sagami Bay, Japan. Sensors 9:9241–9254PubMedCentralPubMedGoogle Scholar
  66. Koeck B, Alós J, Caro A, Neveu R, Crec’hriou R, Saragoni G, Lenfant P (2013) Contrasting fish behavior in artificial seascapes with implications for resources conservation. PLoS ONE 8:e69303PubMedCentralPubMedGoogle Scholar
  67. Kronfeld-Schor N, Dayan T (2003) Partitioning of time as an ecological resource. Ann Rev Ecol Syst 34:153–181Google Scholar
  68. Kross S, Nelson X (2011) A portable low-cost remote videography system for monitoring wildlife. Met Ecol Evol 2:191–196Google Scholar
  69. Lampitt RS, Favali P, Barnes CR, Church MJ, Cronin MF, Hill KL, Kaneda Y, Karl DM, Knap AH, McPhaden MJ, Nittis KA, Priede IG, Rolin J-F, Send U, Teng C-C, Trull TW, Wallace DWR, Weller RA (2010) In situ sustained Eulerian observatories. In: Hall J, Harrison DE, Stammer D (eds), Proceedings of the OceanObs’09: Sustained Ocean. Observations and Information for Society conference 2, Venice, Italy, 21-25 September 2009, ESA Publication WPP-306, ISSN:1609-042X, doi: 10.5270/OceanObs09.pp.27
  70. Langlois J, Harvey ES, Fitzpatrick B, Meeuwig JJ, Shedrawi G, Watson DL (2010) Cost-efficient sampling of fish assemblages: comparison of baited video stations and diver video transects. Aquat Biol 9:155–168Google Scholar
  71. Longcore T, Rich C (2004) Ecological light pollution. Front Ecol Environ 2:191–198Google Scholar
  72. López-Olmeda JF, Sánchez-Vázquez FJ (2010) Feeding Rhythms in Fish: From behavioural to molecular approach. In: Kulczykowska E, Popek W, Kapoor BG (eds) Biological clock in fish. CRC Press, Taylor and Francis, New York, pp 155–184Google Scholar
  73. López-Olmeda JF, Noble C, Sánchez-Vázquez FJ (2012) Does feeding time affects fish welfare? Fish Physiol Biochem 38:143–152PubMedGoogle Scholar
  74. Loudon ASI (2012) Circadian biology: a 2.5 billion year old clock. Curr Biol 22:570–571Google Scholar
  75. MacLeod N, Benfield M, Culverhouse P (2010) Time to automate identification. Nature 467:154–155PubMedGoogle Scholar
  76. Mallet D, Wantiez L, Lemouellic S, Vigliola L, Pelletier D (2014) Complementarity of rotating video and underwater visual census for assessing species richness, frequency and density of reef fish on coral reef slopes. PLoS 1:e84344Google Scholar
  77. March D, Palmer M, Alós J, Grau A, Cardona F (2010) Short-term residence, home range size and diel patterns of the painted comber Serranus scriba in a temperate marine reserve. Mar Ecol Prog Ser 400:195–206Google Scholar
  78. Matabos M, Aguzzi J, Robert K, Costa C, Menesatti P, Company JB, Juniper K (2011) Multi-parametric study of behavioural modulation in demersal decapods at the VENUS cabled observatory in Saanich Inlet, British Columbia, Canada. J Exp Mar Biol Ecol 401:89–96Google Scholar
  79. Matabos M, Bui AO, Mihály S, Aguzzi J, Juniper DSK, Ajayamohan RS (2013) High-frequency study of benthic megafaunal community dynamics in Barkley canyon: a multidisciplinary approach using the NEPTUNE Canada network. J Mar Syst 130:56–68Google Scholar
  80. Mazzei L, Marini S, Craig J, Aguzzi J, Fanelli E, Priede IG (2014). Automated video imaging system for counting deep-sea bioluminescence organisms events. Proceedings of the Computer Vision for Analysis of Underwater Imagery (CVAUI), pp 57–64Google Scholar
  81. Menge BA, Chan F, Dudas S, Eerkes-Medrano D, Grorud-Colvert K, Heiman K, Hessing-Lewis M, Iles A, Milston-Clements R, Noble M, Page-Albins K, Richmond E, Rilov G, Rose J, Tyburczy J, Vinueza L, Zarnetske P (2009) Terrestrial ecologists ignore aquatic literature: asymmetry in citation breadth in ecological publications and implications for generality and progress in ecology. J Exp Mar Biol Ecol 377:93–100Google Scholar
  82. Monna S, Falcone G, Beranzoli L, Chierici F, Cianchini G, De Caro M, De Santis A, Embriaco D, Frugoni F, Marinaro G, Montuori C, Pignagnoli L, Qamili E, Sgroi T, Favali P (2014) Underwater geophysical monitoring for European Multidisciplinary Seafloor and water-column Observatories. J Mar Syst 130:12–30Google Scholar
  83. Munday PL, Crawley NE, Nilsson GE (2009) Interacting effects of elevated temperature and ocean acidification on the aerobic performance of coral reef fishes. Mar Ecol Prog Ser 388:235–242Google Scholar
  84. Navarro J, Votier SC, Aguzzi J, Chiesa JJ, Forero MG, Phillips RA (2013) Ecological segregation in space, time and trophic niche of sympatric planktivorous petrels. PLoS ONE 8:e62897PubMedCentralPubMedGoogle Scholar
  85. Naylor E (2005) Chronobiology: implications for marine resources exploitation and management. Sci Mar 69:157–167Google Scholar
  86. Naylor E (2010) Chronobiology of marine organisms. Cambridge University Press, CambridgeGoogle Scholar
  87. Parmesan C (2006) Ecological and evolutionary responses to recent climate change. Ann Rev Ecol Evol Syst 37:637–669Google Scholar
  88. Parmesan C, Yohe G (2003) A globally coherent fingerprint of climate change impacts across natural systems. Nature 421:37–42PubMedGoogle Scholar
  89. Paterson JR, García-Bellido DC, Lee MSY, Brock GA, Jago JB, Edgecombe GD (2011) Acute vision in the giant Cambrian predator Anomalocaris and the origin of compound eyes. Nature 480:237–240PubMedGoogle Scholar
  90. Pauers MJ, Kuchenbecker JA, Neitzm M, Neitz J (2012) Changes in the colour of light cue circadian activity. Anim Behav 83:1143–1151PubMedCentralPubMedGoogle Scholar
  91. Peer AC, Miller TJ (2014) Climate change, migration phenology, and fisheries management interact with unanticipated consequences. North Am J Fisher Manag 34:94–110Google Scholar
  92. Pelletier D, Leleu K, Mallet D, Mou-Tham G, Hervé G, Boureau M, Guilpart N (2012) Remote high-definition rotating video enables fast spatial survey of marine underwater macrofauna and habitats. PLoS ONE 7:e30536PubMedCentralPubMedGoogle Scholar
  93. Perry AL, Low PJ, Ellis JR, Reynolds JD (2005) Climate change and distribution shifts in marine fishes. Science 38:1912–1915Google Scholar
  94. Pikitch EK, Rountos KJ, Essington TE, Santora C, Pauly D, Watson R, Sumaila UR, Boersma PD, Boyd IL, Conover DO, Cury P, Heppell SS, Houde ED, Mangel M, Plagányi É, Sainsbury K, Steneck RS, Geers TM, Gownaris N, Munch SB (2014) The global contribution of forage fish to marine fisheries and ecosystems. Fish Fisher 15:43–64Google Scholar
  95. Proctor R, Howarth J (2008) Coastal observatories and operational oceanography: a European perspective. Mar Technol Soc J 42:10–13Google Scholar
  96. Purser A, Ontrup J, Schoening T, Thomsen L, Tong R, Unnithan V, Nattkemper TW (2013a) Microhabitat and shrimp abundance within a Norwegian cold-water coral ecosystem. Biogeosci 10:5779–5791Google Scholar
  97. Purser A, Thomsen L, Barnes C, Best M, Chapman R, Hofbauer M, Menzel M, Wagner H (2013b) Temporal and spatial benthic collection via internetoperated Deep Sea Crawler. Met Oceanogr 5:1–18Google Scholar
  98. Reebs SG (2002) Plasticity of diel and circadian activity rhythms in fishes. Rev Fish Biol Fisher 12:349–371Google Scholar
  99. Refinetti R (2006) Circadian physiology. Francis and Taylor, New YorkGoogle Scholar
  100. Rotllant G, Aguzzi J, Sarria D, Gisbert E, Sbragaglia V, Del Río J, Simeó CG, Mànuel A, Molino E, Costa C, Sardà F (2014) Pilot acoustic tracking study on adult spiny lobsters (Palinurus mauritanicus) and spider crabs (Maja squinado) within an artificial reef. Hydrobiol 742:27–38Google Scholar
  101. Ruhl HA, André M, Beranzoli L, Çağatay NM, Colaço A, Cannat M, Dañobeitia JJ, Favali P, Géli L, Gillooly M, Greinert J, Hall POJ, Huber R, Karstensenm J, Lampitt RS, Larkin KE, Lykousis V, Mienert J, de Miranda JMA, Person R, Priede IG, Puillat I, Thomsen L, Waldmann C (2011) Societal need for improved understanding of climate change, anthropogenic impacts, and geo-hazard warning drive development of ocean observatories in European Seas. Prog Oceanogr 91:1–33Google Scholar
  102. Sardà F, Aguzzi J (2012) A review of burrow counting as an alternative to other typical methods of assessment of Norway lobster populations. Rev Fish Biol Fisher 22:409–422Google Scholar
  103. Schoening T, Bergmann M, Ontrup J, Taylor J, Dannheim J, Gutt J, Purser A, Nattkemper TW (2012) Semi-automatic image analysis for the assessment of megafuanal densities at the Arctic deep-sea observatory HAUSGARTEN. PLOS I:5. doi: 10.1371/journal.pone.0038179 Google Scholar
  104. Sherman AD, Smith KL Jr (2009) Deep-sea benthic boundary layer communities and food supply: a long-term monitoring strategy. Deep-Sea Res II 56:1754–1762Google Scholar
  105. Sherry A, Henson RK (2005) Conducting and interpreting canonical correlation analysis in personality research: a user-friendly primer. J Pers Assess 84:37–48PubMedGoogle Scholar
  106. Sih A, Bell A, Johnson JC (2004) Behavioral syndromes: an ecological and evolutionary overview. Trends Ecol Evol 19:372–378PubMedGoogle Scholar
  107. Silvertown J (2009) A new dawn for Citizen Science. Trends Ecol Evol 24:467–471PubMedGoogle Scholar
  108. Sims DW, Queiroz N, Humphries NE, Lima F, Hays GC (2009) Long-term GPS tracking of ocean sunfish Mola mola offers a new direction in fish monitoring. PLoS ONE 4:e7351PubMedCentralPubMedGoogle Scholar
  109. Smith KL, Kaufmann RS, Wakefield WW (1993) Mobile megafaunal activity monitored with a time-lapse camera in the abyssal North Pacific. Deep Sea Res I 411:2307–2324Google Scholar
  110. Smith KL, Ruhl HA, Kahru M, Huffard CL, Sherman AD (2013) Deep ocean communities impacted by changing climate over 24 y in the abyssal northeast Pacific Ocean. Proc Nat Acad Sci 110:19838–19841PubMedCentralPubMedGoogle Scholar
  111. Sogard SM, Olla BL (1996) Food deprivation affects vertical distribution and activity of a marine fish in a thermal gradient: potential energy-conserving mechanisms. Mar Ecol Prog Ser 133:43–55Google Scholar
  112. Tan J, Kelly CK, Jiang L (2013) Temporal niche promotes biodiversity during adaptive radiation. Nat Comm 4:2102Google Scholar
  113. Templado J (2014) Future trends of Mediterranean biodiversity. In: The Mediterranean Sea, Spinger, BerlinGoogle Scholar
  114. Tessier A, Pastor J, Francour P, Saragoni G, Crec’hriou R, Lenfant P (2013) Video transects as a complement to underwater visual census to study reserve effect on fish assemblages. Aquat Biol 8:229–241Google Scholar
  115. Thomsen L, Barnes C, Best M, Chapman R, Pirenne B, Thomson R, Vogt J (2012) Ocean circulation promotes methane release from gas hydrate outcrops at the NEPTUNE Canada Barkley Canyon node. Geophys Res Lett. doi: 10.1029/2012GL052462 Google Scholar
  116. Tutman P, Glavic N, Kožul V, Antolovic N, Skaramuca B (2010) Diel fluctuations in juvenile dominated fish assemblages associated with shallow seagrass and bare sand in southern Adriatic Sea, Croatia. Rapp Comm Int Mere Méd 39:688Google Scholar
  117. Underwood AJ (2005) Intertidal ecologists work in the ‘gap’ between marine and terrestrial ecology. Mar Ecol Prog Ser 304:297–302Google Scholar
  118. Unsworth RKF, Peters JR, McCloskey RM, Hinder SL (2014) Optimising stereo baited underwater video for sampling fish and invertebrates in temperate coastal habitats. Est Coastal Shelf Sci 150:281–287Google Scholar
  119. Van der Meer J (1991) Exploring macrobenthos-environment relationship by canonical correlation analysis. J Exper Mar Biol Ecol 148:105–120Google Scholar
  120. Vardaro MF, Bagley PM, Bailey DM, Bett BJ, Jones DOB, Milligan RJ, Priede IG, Risien CM, Rowe GT, Ruhl HA, Sangolay BB, Smith KJ, Walls A, Clarke J (2013) A Southeast Atlantic deep-ocean observatory: first experiences and results. Limnol Oceanogr 11:304–315Google Scholar
  121. Walli A, Teo SLH, Boustany A, Farwell CJ, Williams T, Dewar H, Prince E, Block BA (2009) Seasonal movements, aggregations and diving behavior of Atlantic Bluefin tuna (Thunnus thynnus) revealed with archival tags. PLoS ONE 4:e6151PubMedCentralPubMedGoogle Scholar
  122. Watson DL, Harvey ES, Fitzpatrick BM, Langlois TJ, Shedrawi G (2010) Assessing reef fish assemblage structure: How do different stereo-video techniques compare? Mar Biol 157:1237–1250Google Scholar
  123. Webb TJ (2012) Marine and terrestrial ecology: unifying concepts, revealing differences. Trends Ecol Evol 27:535–541PubMedGoogle Scholar
  124. Wehkamp S, Fischer P (2013) Impact of coastal defence structures (tetrapods) on a demersal hard-bottom fish community in the southern North Sea. Mar Env Res 83:82–92Google Scholar
  125. Werner EE, Anholt BR (1993) Ecological consequences of the trade-offs between growth and mortality rates mediated by foraging activity. Am Nat 142:242–272PubMedGoogle Scholar
  126. Widder EA, Robison BH, Reisenbichler KR, Haddock SDH (2005) Using red light for in situ observations of deep-sea fishes. Deep-Sea Res I 52:2077–2085Google Scholar
  127. Willis TJ, Badalamenti F, Milazzo M (2006) Diel variability in counts of reef fishes and its implications for monitoring. J Exp Mar Biol Ecol 331:108–120Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • J. Aguzzi
    • 1
  • 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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