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Reviews in Fish Biology and Fisheries

, Volume 27, Issue 1, pp 53–73 | Cite as

What is Big BRUVver up to? Methods and uses of baited underwater video

  • Sasha K. Whitmarsh
  • Peter G. Fairweather
  • Charlie Huveneers
Reviews

Abstract

Baited Remote Underwater Video Stations (BRUVS) is a popular technique to assess mobile nektonic and demersal assemblages, particularly for fish communities. The benefits of using BRUVS have been well documented, with their non-destructive and non-extractive nature, ease to replicate, relatively-cheap personnel costs, and low risk to personnel often cited. However, there is a wide variability in the set-up, experimental design, and implementation of this method. We performed a literature review of 161 peer-reviewed studies from all continents published from 1950 to 2016 to describe how BRUVS has been used by quantitatively assessing 24 variables, including camera set-up and orientation, soak time, bait quantity, type and preparation method, habitat and depth deployed in, and number of replicates used. Such information is critical to gauge the comparability of the results obtained across BRUVS studies. Generally, there was a wide variety in the location, deployment method, bait used, and for the purpose that BRUVS was deployed. In some studies, the methods were adequately described so that they included information on the 24 variables analysed, but there were 34 % of studies which failed to report three or more variables. We present a protocol for what minimal information to include in methods sections and urge authors to include all relevant information to ensure replicability and allow adequate comparisons to be made across studies.

Keywords

BRUVS Fish assemblages Nekton Non-destructive Behaviour Methodology 

Notes

Acknowledgments

We thank two anonymous reviewers for their comments which improved our manuscript.

Supplementary material

11160_2016_9450_MOESM1_ESM.pdf (384 kb)
Supplementary material 1 (PDF 384 kb)

References

  1. Aguzzi J, Jamieson A, Fujii T, Sbragaglia V, Costa C, Menesatti P, Fujiwara Y (2012) Shifting feeding behaviour of deep-sea buccinid gastropods at natural and simulated food falls. Mar Ecol Prog Ser 458:247–253CrossRefGoogle Scholar
  2. Anderson GS, Bell LS (2014) Deep coastal marine taphonomy: investigation into carcass decomposition in the Saanich Inlet, British Columbia using a baited camera. PLoS One 9:e110710CrossRefPubMedPubMedCentralGoogle Scholar
  3. Anderson MJ, Santana-Garcon J (2015) Measures of precision for dissimilarity-based multivariate analysis of ecological communities. Ecol Lett 18:66–73CrossRefPubMedGoogle Scholar
  4. Bailey DM, Wagner H-J, Jamieson AJ, Ross MF, Priede IG (2007) A taste of the deep-sea: the roles of gustatory and tactile searching behaviour in the grenadier fish Coryphaenoides armatus. Deep Sea Res Part I 54:99–108CrossRefGoogle Scholar
  5. Barord GJ, Dooley F, Dunstan A, Ilano A, Keister KN, Neumeister H, Preuss T, Schoepfer S, Ward PD (2014) Comparative population assessments of Nautilus sp. in the Philippines, Australia, Fiji, and American Samoa using baited remote underwater video systems. PLoS One 9:e100799CrossRefPubMedPubMedCentralGoogle Scholar
  6. Bassett DK, Montgomery JC (2011) Investigating nocturnal fish populations in situ using baited underwater video: with special reference to their olfactory capabilities. J Exp Mar Biol Ecol 409:194–199CrossRefGoogle Scholar
  7. Bernard ATF, Götz A (2012) Bait increases the precision in count data from remote underwater video for most subtidal reef fish in the warm-temperate Agulhas bioregion. Mar Ecol Prog Ser 471:235–252CrossRefGoogle Scholar
  8. Birt MJ, Harvey ES, Langlois TJ (2012) Within and between day variability in temperate reef fish assemblages: learned response to baited video. J Exp Mar Biol Ecol 416–417:92–100CrossRefGoogle Scholar
  9. Bond ME, Babcock EA, Pikitch EK, Abercrombie DL, Lamb NF, Chapman DD (2012) Reef sharks exhibit site-fidelity and higher relative abundance in marine reserves on the Mesoamerican Barrier Reef. PLoS One 7:e32983CrossRefPubMedPubMedCentralGoogle Scholar
  10. Bornt K, McLean D, Langlois T, Harvey E, Bellchambers L, Evans S, Newman S (2015) Targeted demersal fish species exhibit variable responses to long-term protection from fishing at the Houtman Abrolhos Islands. Coral Reefs 34:1297–1312CrossRefGoogle Scholar
  11. Bouchet PJ, Meeuwig JJ (2015) Drifting baited stereo-videography: a novel sampling tool for surveying pelagic wildlife in offshore marine reserves. Ecosphere 6:art137CrossRefGoogle Scholar
  12. Brooks EJ, Sloman KA, Sims DW, Danylchuk AJ (2011) Validating the use of baited remote underwater video surveys for assessing the diversity, distribution and abundance of sharks in the Bahamas. Endanger Species Res 13:231–243CrossRefGoogle Scholar
  13. Campbell MD, Pollack AG, Gledhill CT, Switzer TS, DeVries DA (2015) Comparison of relative abundance indices calculated from two methods of generating video count data. Fish Res 170:125–133CrossRefGoogle Scholar
  14. Cappo M, Speare P, Wassenberg TJ, Harvey E, Rees M, Heyward A, Pitcher R (2001) Use of Baited Remote Underwater Video Stations (BRUVS) to survey demersal fish—how deep and meaningful? In: Harvey ES, Cappo M (eds) Direct sensing of the size frequency and abundance of target and non-target fauna in Australian Fisheries, 4–7 September 2000, Rottnest Island, Western Australia. Fisheries Research and Development Corporation, pp 63–71, ISBN 1 74052 057 2Google Scholar
  15. Cappo M, Speare P, De’ath G (2004) Comparison of baited remote underwater video stations (BRUVS) and prawn (shrimp) trawls for assessments of fish biodiversity in inter-reefal areas of the Great Barrier Reef Marine Park. J Exp Mar Biol Ecol 302:123–152CrossRefGoogle Scholar
  16. Cappo M, Harvey E, Shortis M (2007) Counting and measuring fish with baited video techniques—an overview. In: Lyle JM, Furlani DM, Buxton CD (eds) Proceedings of the 2006 Australian society of fish biology conference and workshop cutting edge technologies in fish and fisheries science. ASFB, Hobart, Hobart, August 2006, pp 101–114Google Scholar
  17. Colefax AP, Haywood MDE, Tibbetts IR (2016) Effect of angling intensity on feeding behaviour and community structure of subtropical reef-associated fishes. Mar Biol 163:1–14CrossRefGoogle Scholar
  18. Coleman MA, Bates AE, Stuart-Smith RD, Malcolm HA, Harasti D, Jordan A, Knott NA, Edgar GJ, Kelaher BP (2015) Functional traits reveal early responses in marine reserves following protection from fishing. Divers Distrib 21:876–887CrossRefGoogle Scholar
  19. Collins MA, Yau C, Guilfoyle F, Bagley P, Everson I, Priede IG, Agnew D (2002) Assessment of stone crab (Lithodidae) density on the South Georgia slope using baited video cameras. ICES J Mar Sci 59:370–379CrossRefGoogle Scholar
  20. Colton M, Swearer S (2010) A comparison of two survey methods: differences between underwater visual census and baited remote underwater video. Mar Ecol Prog Ser 400:19–36CrossRefGoogle Scholar
  21. Costanza R, d’Arge R, de Groot R, Faber S, Grasso M, Hannon B, Limburg K, Naeem S, O’Neill R, Paruelo J, Raskin R, Sutton P, Van den Belt M (1997) The value of the world’s ecosystem services and natural capital. Nature 387:253–260CrossRefGoogle Scholar
  22. Craig J, Jamieson AJ, Bagley PM, Priede IG (2011) Naturally occurring bioluminescence on the deep-sea floor. J Mar Syst 88:563–567CrossRefGoogle Scholar
  23. Denny CM, Willis TJ, Babcock RC (2004) Rapid recolonisation of snapper Pagrus auratus: Sparidae within an offshore island marine reserve after implementation of no-take status. Mar Ecol Prog Ser 272:183–190CrossRefGoogle Scholar
  24. D’Onghia G, Capezzuto F, Cardone F, Carlucci R, Carluccio A, Chimienti G, Corriero G, Longo C, Maiorano P, Mastrototaro F, Panetta P, Rosso A, Sanfilippo R, Sion L, Tursi A (2015a) Macro- and megafauna recorded in the submarine Bari Canyon (southern Adriatic, Mediterranean Sea) using different tools. Mediterr Mar Sci 16:180–196Google Scholar
  25. D’Onghia G, Capezzuto F, Carluccio A, Carlucci R, Giove A, Mastrototaro F, Panza M, Sion L, Tursi A, Maiorano P (2015b) Exploring composition and behaviour of fish fauna by in situ observations in the Bari Canyon (Southern Adriatic Sea, Central Mediterranean). Mar Ecol 36:541–556CrossRefGoogle Scholar
  26. Dorman SR, Harvey ES, Newman SJ (2012) Bait effects in sampling coral reef fish assemblages with stereo-BRUVs. PLoS One 7:e41538CrossRefPubMedPubMedCentralGoogle Scholar
  27. Dunstan AJ, Ward PD, Marshall NJ (2011) Nautilus pompilius life history and demographics at the Osprey Reef Seamount, Coral Sea, Australia. PLoS One 6:e16312CrossRefPubMedPubMedCentralGoogle Scholar
  28. Ebner BC, Morgan DL (2013) Using remote underwater video to estimate freshwater fish species richness. J Fish Biol 82:1592–1612CrossRefPubMedGoogle Scholar
  29. Ebner BC, Fulton CJ, Cousins S, Donaldson JA, Kennard MJ, Meynecke J-O, Schaffer J (2015) Filming and snorkelling as visual techniques to survey fauna in difficult to access tropical rainforest streams. Mar Freshw Res 66:120–126CrossRefGoogle Scholar
  30. Ellis D, DeMartini E (1995) Evaluation of a video camera technique for indexing abundances of juvenile pink snapper, Pristipomoides filamentosus, and other Hawaiian insular shelf fishes. Oceanogr Lit Rev 9:786Google Scholar
  31. Fitzpatrick BM, Harvey ES, Heyward AJ, Twiggs EJ, Colquhoun J (2012) Habitat specialization in tropical continental shelf demersal fish assemblages. PLoS One 7:e39634CrossRefPubMedPubMedCentralGoogle Scholar
  32. Fitzpatrick C, McLean D, Harvey ES (2013) Using artificial illumination to survey nocturnal reef fish. Fish Res 146:41–50CrossRefGoogle Scholar
  33. Gage JD, Tyler PA (1991) Deep sea biology: a natural history of organisms at the deep-sea floor. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  34. Gardner JPA, Struthers CD (2013) Comparisons among survey methodologies to test for abundance and size of a highly targeted fish species. J Fish Biol 82:242–262CrossRefPubMedGoogle Scholar
  35. Gladstone W, Lindfield S, Coleman M, Kelaher B (2012) Optimisation of baited remote underwater video sampling designs for estuarine fish assemblages. J Exp Mar Biol Ecol 429:28–35CrossRefGoogle Scholar
  36. Gomelyuk VE (2009) Fish assemblages composition and structure in three shallow habitats in north Australian tropical bay, Garig Gunak Barlu National Park, Northern Territory, Australia. J Mar Biol Assoc UK 89:449–460CrossRefGoogle Scholar
  37. Gutteridge AN, Bennett MB, Huveneers C, Tibbetts IR (2011) Assessing the overlap between the diet of a coastal shark and the surrounding prey communities in a sub-tropical embayment. J Fish Biol 78:1405–1422CrossRefPubMedGoogle Scholar
  38. Hannah RW, Blume MTO (2014) The influence of bait and stereo video on the performance of a video lander as a survey tool for marine demersal reef fishes in Oregon waters. Mar Coast Fishe 6:181–189CrossRefGoogle Scholar
  39. Harasti D, Gallen C, Malcolm H, Tegart P, Hughes B (2014) Where are the little ones: distribution and abundance of the threatened serranid Epinephelus daemelii (Günther, 1876) in intertidal habitats in New South Wales, Australia. J Appl Ichthyol 30:1007–1015CrossRefGoogle Scholar
  40. Harasti D, Malcolm H, Gallen C, Coleman MA, Jordan A, Knott NA (2015) Appropriate set times to represent patterns of rocky reef fishes using baited video. J Exp Mar Biol Ecol 463:173–180CrossRefGoogle Scholar
  41. Hardinge J, Harvey ES, Saunders BJ, Newman SJ (2013) A little bait goes a long way: the influence of bait quantity on a temperate fish assemblage sampled using stereo-BRUVs. J Exp Mar Biol Ecol 449:250–260CrossRefGoogle Scholar
  42. Harvey E, Fletcher D, Shortis M (2002a) Estimation of reef fish length by divers and by stereo-video: a first comparison of the accuracy and precision in the field on living fish under operational conditions. Fish Res 57:255–265CrossRefGoogle Scholar
  43. Harvey E, Shortis M, Stadler M, Cappo M (2002b) A comparison of the accuracy and precision of measurements from single and stereo-video systems. Mar Technol Soc J 36:38–49CrossRefGoogle Scholar
  44. Harvey ES, Cappo M, Butler JJ, Hall N, Kendrick GA (2007) Bait attraction affects the performance of remote underwater video stations in assessment of demersal fish community structure. Mar Ecol Prog Ser 350:245–254CrossRefGoogle Scholar
  45. Harvey ES, Butler JJ, McLean DL, Shand J (2012a) Contrasting habitat use of diurnal and nocturnal fish assemblages in temperate Western Australia. J Exp Mar Biol Ecol 426–427:78–86CrossRefGoogle Scholar
  46. Harvey ES, Newman SJ, McLean DL, Cappo M, Meeuwig JJ, Skepper CL (2012b) Comparison of the relative efficiencies of stereo-BRUVs and traps for sampling tropical continental shelf demersal fishes. Fish Res 125–126:108–120CrossRefGoogle Scholar
  47. Heagney E, Lynch T, Babcock R, Suthers I (2007) Pelagic fish assemblages assessed using mid-water baited video: standardising fish counts using bait plume size. Mar Ecol Prog Ser 350:255–266CrossRefGoogle Scholar
  48. Holmlund CM, Hammer M (1999) Ecosystem services generated by fish populations. Ecol Econ 29:253–268CrossRefGoogle Scholar
  49. Howarth LM, Pickup SE, Evans LE, Cross TJ, Hawkins JP, Roberts CM, Stewart BD (2015) Sessile and mobile components of a benthic ecosystem display mixed trends within a temperate marine reserve. Mar Environ Res 107:8–23CrossRefPubMedGoogle Scholar
  50. Jamieson A, Bailey D, Wagner H-J, Bagley P, Priede I (2006) Behavioural responses to structures on the seafloor by the deep-sea fish Coryphaenoides armatus: implications for the use of baited landers. Deep Sea Res Part I 53:1157–1166CrossRefGoogle Scholar
  51. Jamieson A, Fujii T, Solan M, Matsumoto A, Bagley P, Priede I (2009) First findings of decapod crustacea in the hadal zone. Deep Sea Res Part I 56:641–647CrossRefGoogle Scholar
  52. Langlois T, Chabanet P, Pelletier D, Harvey E (2006) Baited underwater video for assessing reef fish populations in marine reserves. Fish Newslett S Pac Comm 118:53Google Scholar
  53. Langlois TJ, 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 9:155CrossRefGoogle Scholar
  54. Langlois TJ, Fitzpatrick BR, Fairclough DV, Wakefield CB, Hesp SA, McLean DL, Harvey ES, Meeuwig JJ (2012a) Similarities between line fishing and baited stereo-video estimations of length-frequency: novel application of kernel density estimates. PLoS One 7:e45973CrossRefPubMedPubMedCentralGoogle Scholar
  55. Langlois TJ, Radford BT, Van Niel KP, Meeuwig JJ, Pearce AF, Rousseaux CSG, Kendrick GA, Harvey ES (2012b) Consistent abundance distributions of marine fishes in an old, climatically buffered, infertile seascape. Global Ecol Biogeogr 21:886–897CrossRefGoogle Scholar
  56. Langlois TJ, Newman SJ, Cappo M, Harvey ES, Rome BM, Skepper CL, Wakefield CB (2015) Length selectivity of commercial fish traps assessed from in situ comparisons with stereo-video: is there evidence of sampling bias? Fish Res 161:145–155CrossRefGoogle Scholar
  57. Letessier TB, Meeuwig JJ, Gollock M, Groves L, Bouchet PJ, Chapuis L, Vianna GMS, Kemp K, Koldewey HJ (2013) Assessing pelagic fish populations: the application of demersal video techniques to the mid-water environment. Methods Oceanogr 8:41–55CrossRefGoogle Scholar
  58. Letessier TB, Juhel J-B, Vigliola L, Meeuwig JJ (2015) Low-cost small action cameras in stereo generates accurate underwater measurements of fish. J Exp Mar Biol Ecol 466:120–126CrossRefGoogle Scholar
  59. Løkkeborg S, Siikavuopio S, Humborstad O-B, Utne-Palm A, Ferter K (2014) Towards more efficient longline fisheries: fish feeding behaviour, bait characteristics and development of alternative baits. Rev Fish Biol Fish 24:985–1003CrossRefGoogle Scholar
  60. Lowry M, Folpp H, Gregson M, Suthers I (2012) Comparison of baited remote underwater video (BRUV) and underwater visual census (UVC) for assessment of artificial reefs in estuaries. J Exp Mar Biol Ecol 416–417:243–253CrossRefGoogle Scholar
  61. Malcolm HA, Gladstone W, Lindfield S, Wraith J, Lynch TP (2007) Spatial and temporal variation in reef fish assemblages of marine parks in New South Wales, Australia—baited video observations. Mar Ecol Prog Ser 350:277–290CrossRefGoogle Scholar
  62. Mallet D, Pelletier D (2014) Underwater video techniques for observing coastal marine biodiversity: a review of sixty years of publications (1952–2012). Fish Res 154:44–62CrossRefGoogle Scholar
  63. Marouchos A, Sherlock M, Barker B, Williams A (2011). Development of a stereo deepwater baited remote underwater video system (DeepBRUVS), OCEANS, 2011 IEEE, Spain, pp 1–5Google Scholar
  64. McIlwain JL, Harvey ES, Grove S, Shiell G, Al Oufi H, Al Jardani N (2011) Seasonal changes in a deep-water fish assemblage in response to monsoon-generated upwelling events. Fish Oceanogr 20:497–516CrossRefGoogle Scholar
  65. McLean DL, Green M, Harvey ES, Williams A, Daley R, Graham KJ (2015) Comparison of baited longlines and baited underwater cameras for assessing the composition of continental slope deepwater fish assemblages off southeast Australia. Deep Sea Res Part I 98:10–20CrossRefGoogle Scholar
  66. Merritt D, Donovan MK, Kelley C, Waterhouse L, Parke M, Wong K, Drazen JC (2011) BotCam: a baited camera system for nonextractive monitoring of bottomfish species. Fish Bull 109:56–67Google Scholar
  67. Misa WFXE, Richards BL, DiNardo GT, Kelley CD, Moriwake VN, Drazen JC (2016) Evaluating the effect of soak time on bottomfish abundance and length data from stereo-video surveys. J Exp Mar Biol Ecol 479:20–34CrossRefGoogle Scholar
  68. Moore C, Harvey E, Van Niel K (2010) The application of predicted habitat models to investigate the spatial ecology of demersal fish assemblages. Mar Biol 157:2717–2729CrossRefGoogle Scholar
  69. Murphy HM, Jenkins GP (2010) Observational methods used in marine spatial monitoring of fishes and associated habitats: a review. Mar Freshwr Res 61:236–252CrossRefGoogle Scholar
  70. Rees M, Knott N, Fenech G, Davis A (2015) Rules of attraction: enticing pelagic fish to mid-water remote underwater video systems (RUVS). Mar Ecol Prog Ser 529:213–218CrossRefGoogle Scholar
  71. Richardson JR, Shears NT, Taylor RB (2015) Using relative eye size to estimate the length of fish from a single camera image. Mar Ecol Prog Ser 538:213–219CrossRefGoogle Scholar
  72. Ricker WE (1975) Computation and interpretation of biological statistics of fish populations. J Fish Res Board Can 191:1–367Google Scholar
  73. Rizzari JR, Frisch AJ, Connolly SR (2014) How robust are estimates of coral reef shark depletion? Biol Conserv 176:39–47CrossRefGoogle Scholar
  74. Robbins WD, Peddemors VM, Kennelly SJ (2011) Assessment of permanent magnets and electropositive metals to reduce the line-based capture of Galapagos sharks, Carcharhinus galapagensis. Fish Res 109:100–106CrossRefGoogle Scholar
  75. Ryan L, Meeuwig J, Hemmi J, Collin S, Hart N (2015) It is not just size that matters: shark cruising speeds are species-specific. Mar Biol 162:1307–1318CrossRefGoogle Scholar
  76. Santana-Garcon J, Braccini M, Langlois TJ, Newman SJ, McAuley RB, Harvey ES (2014a) Calibration of pelagic stereo-BRUVs and scientific longline surveys for sampling sharks. Methods Ecol Evol 5:824–833CrossRefGoogle Scholar
  77. Santana-Garcon J, Leis J, Newman S, Harvey E (2014b) Presettlement schooling behaviour of a priacanthid, the purplespotted bigeye Priacanthus tayenus (Priacanthidae: Teleostei). Environ Biol Fishes 97:277–283CrossRefGoogle Scholar
  78. Santana-Garcon J, Newman SJ, Harvey ES (2014c) Development and validation of a mid-water baited stereo-video technique for investigating pelagic fish assemblages. J Exp Mar Biol Ecol 452:82–90CrossRefGoogle Scholar
  79. Santana-Garcon J, Newman SJ, Langlois TJ, Harvey ES (2014d) Effects of a spatial closure on highly mobile fish species: an assessment using pelagic stereo-BRUVs. J Exp Mar Biol Ecol 460:153–161CrossRefGoogle Scholar
  80. Schobernd ZH, Bacheler NM, Conn PB (2014) Examining the utility of alternative video monitoring metrics for indexing reef fish abundance. Can J Fish Aquat Sci 71:464–471CrossRefGoogle Scholar
  81. Scott ME, Smith JA, Lowry MB, Taylor MD, Suthers IM (2015) The influence of an offshore artificial reef on the abundance of fish in the surrounding pelagic environment. Mar Freshw Res 66:429–437CrossRefGoogle Scholar
  82. Seiler J (2013). Testing and evaluating non-extractive sampling platforms to assess deep-water rocky reef ecosystems on the continental shelf. PhD Thesis, University of Tasmania, HobartGoogle Scholar
  83. Sih A, Bell A, Johnson JC (2004) Behavioral syndromes: an ecological and evolutionary overview. Trends Ecol Evol 19:372–378CrossRefPubMedGoogle Scholar
  84. Smale DA, Barnes DKA, Fraser KPP, Mann PJ, Brown MP (2007) Scavenging in Antarctica: intense variation between sites and seasons in shallow benthic necrophagy. J Exp Mar Biol Ecol 349:405–417CrossRefGoogle Scholar
  85. Stobart B, García-Charton JA, Espejo C, Rochel E, Goñi R, Reñones O, Herrero A, Crec’hriou R, Polti S, Marcos C, Planes S, Pérez-Ruzafa A (2007) A baited underwater video technique to assess shallow-water Mediterranean fish assemblages: methodological evaluation. J Exp Mar Biol Ecol 345:158–174CrossRefGoogle Scholar
  86. Stobart B, Díaz D, Álvarez F, Alonso C, Mallol S, Goñi R (2015) Performance of baited underwater video: does it underestimate abundance at high population densities? PLoS One 10:e0127559CrossRefPubMedPubMedCentralGoogle Scholar
  87. Svane I, Barnett J (2008) The occurrence of benthic scavengers and their consumption at tuna farms off Port Lincoln, South Australia. J Exp Mar Biol Ecol 363:110–117CrossRefGoogle Scholar
  88. Svane I, Roberts S, Saunders T (2008) Fate and consumption of discarded by-catch in the Spencer Gulf prawn fishery, South Australia. Fish Res 90:158–169CrossRefGoogle Scholar
  89. Taylor MD, Baker J, Suthers IM (2013) Tidal currents, sampling effort and baited remote underwater video (BRUV) surveys: are we drawing the right conclusions? Fish Res 140:96–104CrossRefGoogle Scholar
  90. Trobbiani GA, Venerus LA (2015) A novel method to obtain accurate length estimates of carnivorous reef fishes from a single video camera. Neotrop Ichthyol 13:93–102CrossRefGoogle Scholar
  91. Udyawer V, Cappo M, Simpfendorfer CA, Heupel MR, Lukoschek V (2014) Distribution of sea snakes in the great barrier reef marine park: observations from 10 yrs of baited remote underwater video station (BRUVS) sampling. Coral Reefs 33:777–791CrossRefGoogle Scholar
  92. Unsworth RKF, Peters JR, McCloskey RM, Hinder SL (2014) Optimising stereo baited underwater video for sampling fish and invertebrates in temperate coastal habitats. Estuar Coast Shelf Sci Part B 150:281–287CrossRefGoogle Scholar
  93. Wakefield CB, Lewis PD, Coutts TB, Fairclough DV, Langlois TJ (2013) Fish assemblages associated with natural and anthropogenically-modified habitats in a marine embayment: comparison of baited videos and opera-house traps. PLoS One 8:e59959CrossRefPubMedPubMedCentralGoogle Scholar
  94. Walsh AT, Barrett N, Hill N (2016) Efficacy of baited remote underwater video systems and bait type in the cool-temperature zone for monitoring ‘no-take’ marine reserves. Mar Freshw Res. doi: 10.1071/MF15165 Google Scholar
  95. Watson D, Harvey E, Anderson M, Kendrick G (2005) A comparison of temperate reef fish assemblages recorded by three underwater stereo-video techniques. Mar Biol 148:415–425CrossRefGoogle Scholar
  96. Watson DL, Anderson MJ, Kendrick GA, Nardi K, Harvey ES (2009) Effects of protection from fishing on the lengths of targeted and non-targeted fish species at the Houtman Abrolhos Islands, Western Australia. Mar Ecol Prog Ser 384:241–249CrossRefGoogle Scholar
  97. Watson D, Harvey E, Fitzpatrick B, Langlois T, Shedrawi G (2010) Assessing reef fish assemblage structure: how do different stereo-video techniques compare? Mar Biol 157:1237–1250CrossRefGoogle Scholar
  98. White J, Simpfendorfer CA, Tobin AJ, Heupel MR (2013) Application of baited remote underwater video surveys to quantify spatial distribution of elasmobranchs at an ecosystem scale. J Exp Mar Biol Ecol 448:281–288CrossRefGoogle Scholar
  99. Whitmarsh S (2012) Methods of monitoring shallow seagrass communities of Kangaroo Island, South Australia, Honours Thesis, School of Biological Sciences. Flinders University, AdelaideGoogle Scholar
  100. Whitmarsh S, Fairweather P, Brock D, Miller D (2014) Nektonic assemblages determined from baited underwater video in protected versus unprotected shallow seagrass meadows on Kangaroo Island, South Australia. Mar Ecol Prog Ser 503:205–218CrossRefGoogle Scholar
  101. Willis TJ, Babcock RC (2000) A baited underwater video system for the determination of relative density of carnivorous reef fish. Mar Freshw Res 51:755–763CrossRefGoogle Scholar
  102. Willis TJ, Millar RB, Babcock RC (2000) Detection of spatial variability in relative density of fishes: comparison of visual census, angling, and baited underwater video. Mar Ecol Prog Ser 198:249–260CrossRefGoogle Scholar
  103. Worm B, Barbier EB, Beaumont N, Duffy JE, Folke C, Halpern BS, Jackson JB, Lotze HK, Micheli F, Palumbi SR (2006) Impacts of biodiversity loss on ocean ecosystem services. Science 314:787–790CrossRefPubMedGoogle Scholar
  104. Wraith J, Lynch T, Minchinton T, Broad A, Davis A (2013) Bait type affects fish assemblages and feeding guilds observed at baited remote underwater video stations. Mar Ecol Prog Ser 477:189–199CrossRefGoogle Scholar
  105. Yau C, Collins MA, Bagley PM, Everson I, Priede IG (2002) Scavenging by megabenthos and demersal fish on the South Georgia slope. Antarct Sci 14:16–24CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of Biological SciencesFlinders UniversityAdelaideAustralia

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