Camera technology for monitoring marine biodiversity and human impact

Human activities have fundamentally altered the marine environment, creating a need for effective management in one of Earth's most challenging habitats. Remote camera imagery has emerged as an essential tool for monitoring at all scales, from individuals to populations and communities up to entire marine ecosystems. Here we review the use of remote cameras to monitor the marine environment in relation to human activity, and consider emerging and potential future applications. Rapid technological advances in equipment and analytical tools influence where, why, and how remote camera imagery can be applied. We encourage the inclusion of cameras within multi-method and multi-sensor approaches to improve our understanding of ecosystems and help manage human activities and minimize impacts.

[1]  Imants G. Priede,et al.  Cameras and carcasses: historical and current methods for using artificial food falls to study deep-water animals , 2007 .

[2]  D. Bellwood,et al.  Phase Shifts, Herbivory, and the Resilience of Coral Reefs to Climate Change , 2007, Current Biology.

[3]  K. Camphuysen,et al.  Potential consequences of discard reform for seabird communities , 2013 .

[4]  Candie C. Wilderman,et al.  Public Participation in Scientific Research: Defining the Field and Assessing Its Potential for Informal Science Education. A CAISE Inquiry Group Report. , 2009 .

[5]  K. Lafferty,et al.  Decadal trends in marine reserves reveal differential rates of change in direct and indirect effects , 2010, Proceedings of the National Academy of Sciences.

[6]  B. Bett,et al.  Anthropogenic disturbance of deep-sea megabenthic assemblages: a study with remotely operated vehicles in the Faroe-Shetland Channel, NE Atlantic , 2007 .

[7]  Adam N. H. Smith,et al.  Effects of marine reserves in the context of spatial and temporal variation: an analysis using Bayesian zero-inflated mixed models , 2014 .

[8]  M. Attrill,et al.  Benthic Interactions With Renewable Energy Installations in a Temperate Ecosystem , 2013 .

[9]  Karen Anderson,et al.  Lightweight unmanned aerial vehicles will revolutionize spatial ecology , 2013 .

[10]  Kresimir Williams,et al.  An underwater stereo-camera trap , 2014 .

[11]  M. Attrill,et al.  Epibenthic Assessment of a Renewable Tidal Energy Site , 2013, TheScientificWorldJournal.

[12]  Peter I. Corke,et al.  Robotic detection and tracking of Crown-of-Thorns starfish , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[13]  Martin J. Attrill,et al.  A Quantitative, Non-Destructive Methodology for Habitat Characterisation and Benthic Monitoring at Offshore Renewable Energy Developments , 2010, PloS one.

[14]  B. Worm,et al.  Rapid worldwide depletion of predatory fish communities , 2003, Nature.

[15]  S. Votier,et al.  A Bird’s Eye View of Discard Reforms: Bird-Borne Cameras Reveal Seabird/Fishery Interactions , 2013, PloS one.

[16]  Dominique Pelletier,et al.  Underwater video techniques for observing coastal marine biodiversity: A review of sixty years of publications (1952–2012) , 2014 .

[17]  Rick Bonney,et al.  The current state of citizen science as a tool for ecological research and public engagement , 2012 .

[18]  Russell C. Babcock,et al.  Rapid recolonisation of snapper Pagrus auratus: Sparidae within an offshore island marine reserve after implementation of no-take status , 2004 .

[19]  M. Attrill,et al.  Monitoring benthic biodiversity restoration in Lyme Bay marine protected area: Design, sampling and analysis , 2014 .

[20]  D.R. Edgington,et al.  Detecting, Tracking and Classifying Animals in Underwater Video , 2005, OCEANS 2006.

[21]  Zhihai He,et al.  Volunteer-run cameras as distributed sensors for macrosystem mammal research , 2015, Landscape Ecology.

[22]  Jessica J. Meeuwig,et al.  Drifting baited stereo‐videography: a novel sampling tool for surveying pelagic wildlife in offshore marine reserves , 2015 .

[23]  N. Loneragan,et al.  Combining in-trawl video with observer coverage improves understanding of protected and vulnerable species by-catch in trawl fisheries , 2014 .

[24]  D. Bellwood,et al.  Confronting the coral reef crisis , 2004, Nature.

[25]  Ben G. Weinstein,et al.  MotionMeerkat: integrating motion video detection and ecological monitoring , 2015 .

[26]  O. Langhamer Artificial Reef Effect in relation to Offshore Renewable Energy Conversion: State of the Art , 2012, TheScientificWorldJournal.

[27]  Stefan B. Williams,et al.  Regional-scale benthic monitoring for ecosystem-based fisheries management (EBFM) using an autonomous underwater vehicle (AUV) , 2012 .

[28]  Rory P. Wilson,et al.  Trends and perspectives in animal‐attached remote sensing , 2005 .

[29]  D. Monson,et al.  Estimating Age Ratios and Size of Pacific Walrus Herds on Coastal Haulouts using Video Imaging , 2013, PloS one.

[30]  J. P. Oakley,et al.  Mitigating the effect of optical back-scatter in multispectral underwater imaging , 2012, 2012 IEEE International Conference on Imaging Systems and Techniques Proceedings.

[31]  J. Oakley,et al.  Mitigating the effect of optical back-scatter in multispectral underwater imaging , 2013 .

[32]  C. German,et al.  Deep-sea mining of seafloor massive sulfides , 2010 .

[33]  C. Stauss,et al.  Drawing lines at the sand: evidence for functional vs. visual reef boundaries in temperate Marine Protected Areas. , 2013, Marine pollution bulletin.

[34]  D. Bellwood,et al.  Diversity among Macroalgae-Consuming Fishes on Coral Reefs: A Transcontinental Comparison , 2012, PloS one.

[35]  Martin D. Smith,et al.  Sustainability and Global Seafood , 2010, Science.

[36]  E. Wakefield,et al.  Three-dimensional tracking of a wide-ranging marine predator: flight heights and vulnerability to offshore wind farms , 2015 .

[37]  P. Tyler,et al.  Man and the Last Great Wilderness: Human Impact on the Deep Sea , 2011, PloS one.

[38]  A. Hodgson,et al.  Unmanned Aerial Vehicles (UAVs) for Surveying Marine Fauna: A Dugong Case Study , 2013, PloS one.

[39]  Leah Edelstein-Keshet,et al.  Inferring individual rules from collective behavior , 2010, Proceedings of the National Academy of Sciences.

[40]  Shale Rosen,et al.  DeepVision in-trawl imaging: Sampling the water column in four dimensions , 2013 .

[41]  Guy Woodward,et al.  Biomonitoring of Human Impacts in Freshwater Ecosystems: The Good, the Bad and the Ugly , 2011 .

[42]  Jaime S. Davies,et al.  Identifying deep-sea megafaunal epibenthic assemblages for use in habitat mapping and marine protected area network design , 2010, Journal of the Marine Biological Association of the United Kingdom.

[43]  P. B. Mortensen,et al.  The deep-water coral Lophelia pertusa in Norwegian waters: distribution and fishery impacts , 2002, Hydrobiologia.

[44]  C. Orme,et al.  In-situ ecological interactions with a deployed tidal energy device; an observational pilot study , 2014 .

[45]  Erin M. Bayne,et al.  REVIEW: Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes , 2015 .

[46]  I. Ekeland,et al.  Sustainability of deep-sea fisheries , 2012 .

[47]  Paul Meek,et al.  Camera trapping and invasions of privacy: An Australian legal perspective , 2013 .

[48]  Zhihai He,et al.  A new 'view' of ecology and conservation through animal-borne video systems. , 2007, Trends in ecology & evolution.

[49]  S. Hochscheid Why we mind sea turtles' underwater business: A review on the study of diving behavior , 2014 .

[50]  Elliott A. Norse,et al.  Disturbance of the Seabed by Mobile Fishing Gear: A Comparison to Forest Clearcutting , 1998 .

[51]  Stefan B. Williams,et al.  Monitoring of Benthic Reference Sites: Using an Autonomous Underwater Vehicle , 2012, IEEE Robotics & Automation Magazine.

[52]  Michel J. Kaiser,et al.  Quantifying recovery rates and resilience of seabed habitats impacted by bottom fishing , 2014 .

[53]  A.C.R. Gleason,et al.  Automated classification of underwater multispectral imagery for coral reef monitoring , 2007, OCEANS 2007.

[54]  C. Roman,et al.  Seabed AUV offers new platform for high‐resolution imaging , 2004 .

[55]  E. Harvey,et al.  Large decline in the abundance of a targeted tropical lethrinid in areas open and closed to fishing. , 2010 .

[56]  Niall H. K. Burton,et al.  BTO Wshop-09 High Definition Imagery for Surveying Seabirds and Marine Mammals : A Review of Recent Trials and Development of Protocols , 2009 .

[57]  R. Lathrop,et al.  A Multi-scale Segmentation Approach to Mapping Seagrass Habitats Using Airborne Digital Camera Imagery , 2006 .

[58]  P. Winger,et al.  Underwater observations of the behaviour of snow crab (Chionoecetes opilio) encountering a shrimp trawl off northeast Newfoundland , 2014 .

[59]  Stephen T. Buckland,et al.  Aerial surveys of seabirds: the advent of digital methods , 2012 .

[60]  Rebecca L. Lewison,et al.  Understanding impacts of fisheries bycatch on marine megafauna , 2004 .

[61]  E. K. Pikitch,et al.  Ecosystem-Based Fishery Management , 2004, Science.

[62]  H. Malcolm,et al.  Spatial and temporal variation in reef fish assemblages of marine parks in New South Wales, Australia—baited video observations , 2007 .

[63]  Daniel O.B. Jones,et al.  A Southeast Atlantic deep‐ocean observatory: first experiences and results , 2013 .

[64]  C. Orme,et al.  Spatial and temporal benthic species assemblage responses with a deployed marine tidal energy device: a small scaled study. , 2014, Marine environmental research.

[65]  E. Harvey,et al.  Effects of protection from fishing on the lengths of targeted and non-targeted fish species at the Houtman Abrolhos Islands, Western Australia , 2009 .

[66]  Melissa A. Haltuch,et al.  Quantitative video analysis of flatfish herding behavior and impact on effective area swept of a survey trawl , 2014 .