Operational Protocols for the Use of Drones in Marine Animal Research
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Mitchell B. Lyons | David W. Johnston | Daniel Ierodiaconou | Vincent Raoult | Andrew P. Colefax | Blake M. Allan | Daniele Cagnazzi | Nataly Castelblanco-Martínez | Sarah Sofía Landeo-Yauri | Vanessa Pirotta | Gail Schofield | Paul A. Butcher | G. Schofield | D. Ierodiaconou | V. Raoult | M. Lyons | D. Johnston | D. Cagnazzi | Vanessa Pirotta | A. Colefax | P. Butcher | Nataly Castelblanco-Martínez | S. Landeo-Yauri
[1] Simon J. Goodman,et al. Global threats to pinnipeds , 2012 .
[2] Qingsong Wang,et al. A review of lithium ion battery failure mechanisms and fire prevention strategies , 2019, Progress in Energy and Combustion Science.
[3] Paul R. Wade,et al. CALCULATING LIMITS TO THE ALLOWABLE HUMAN‐CAUSED MORTALITY OF CETACEANS AND PINNIPEDS , 1998 .
[4] Nicolas E. Humphries,et al. Global spatial risk assessment of sharks under the footprint of fisheries , 2019, Nature.
[5] D. Pagendam,et al. Assessing White Shark (Carcharodon carcharias) Behavior Along Coastal Beaches for Conservation-Focused Shark Mitigation , 2020, Frontiers in Marine Science.
[6] B. Cullis,et al. Beach safety: can drones provide a platform for sighting sharks? , 2019, Wildlife Research.
[7] Lars Bejder,et al. Embracing conservation success of recovering humpback whale populations: Evaluating the case for downlisting their conservation status in Australia , 2016 .
[8] F. Lombard,et al. Jellyfish blooms: advances and challenges , 2018 .
[9] Eliza E. Moskowitz,et al. Aerial drone misadventure: A novel case of trauma resulting in ocular globe rupture , 2018, American journal of ophthalmology case reports.
[10] Giovanna Jona Lasinio,et al. A low-cost drone based application for identifying and mapping of coastal fish nursery grounds , 2016 .
[11] D. Kurouski,et al. Raman Spectroscopy vs Quantitative Polymerase Chain Reaction In Early Stage Huanglongbing Diagnostics , 2020, Scientific Reports.
[12] H. Weimerskirch,et al. Flights of drones over sub-Antarctic seabirds show species- and status-specific behavioural and physiological responses , 2018, Polar Biology.
[13] D. N. Castelblanco-Martínez,et al. Using small drones to photo-identify Antillean manatees: a novel method for monitoring an endangered marine mammal in the Caribbean Sea , 2020 .
[14] D. Irschick,et al. Estimating body mass of free‐living whales using aerial photogrammetry and 3D volumetrics , 2019, Methods in Ecology and Evolution.
[15] J. Kirkwood,et al. A Method for Capturing Dugongs (Dugong dugon) in Open Water , 2006 .
[16] L. Carraro,et al. The use of Unmanned Aerial Vehicles (UAVs) to sample the blow microbiome of small cetaceans , 2020, PloS one.
[17] Graham Rush,et al. Can drones count gulls? Minimal disturbance and semiautomated image processing with an unmanned aerial vehicle for colony‐nesting seabirds , 2018, Ecology and evolution.
[18] M. Oliveira-da-Costa,et al. Effectiveness of unmanned aerial vehicles to detect Amazon dolphins , 2019, Oryx.
[19] S. Dawson,et al. Inexpensive Aerial Photogrammetry for Studies of Whales and Large Marine Animals , 2017, Front. Mar. Sci..
[20] P. Ross. Marine Mammals as Sentinels in Ecological Risk Assessment , 2000 .
[21] Antoine M. Dujon,et al. Noninvasive unmanned aerial vehicle provides estimates of the energetic cost of reproduction in humpback whales , 2016 .
[22] Michael C. Hatfield,et al. Unmanned aircraft systems in wildlife research: current and future applications of a transformative technology , 2016 .
[23] K. Lohmann,et al. Quantifying Nearshore Sea Turtle Densities: Applications of Unmanned Aerial Systems for Population Assessments , 2017, Scientific Reports.
[24] L. P. Koh,et al. Rapid condition monitoring of an endangered marine vertebrate using precise, non-invasive morphometrics , 2020 .
[25] David J. Klein,et al. A convolutional neural network for detecting sea turtles in drone imagery , 2018, Methods in Ecology and Evolution.
[26] P. Madsen,et al. Southern right whales show no behavioral response to low noise levels from a nearby unmanned aerial vehicle , 2020, Marine Mammal Science.
[27] Margaret Kalacska,et al. Freshwater Fish Habitat Complexity Mapping Using Above and Underwater Structure-From-Motion Photogrammetry , 2018, Remote. Sens..
[28] I. Santos,et al. Whale carcass scavenging by sharks , 2019, Global Ecology and Conservation.
[29] H. Peter,et al. Sensitivity of Adélie and Gentoo penguins to various flight activities of a micro UAV , 2018, Polar Biology.
[30] J. Lanyon. Distribution and abundance of dugongs in Moreton Bay, Queensland, Australia , 2003 .
[31] D. Gendron,et al. A novel non‐invasive tool for disease surveillance of free‐ranging whales and its relevance to conservation programs , 2010 .
[32] A. Friedlaender,et al. Initial density estimates of humpback whales Megaptera novaeangliae in the inshore waters of the western Antarctic Peninsula during the late autumn , 2012 .
[33] P. Boveng,et al. Evaluation of a ship-based unoccupied aircraft system (UAS) for surveys of spotted and ribbon seals in the Bering Sea pack ice1 , 2015 .
[34] Claire Burke,et al. Optimizing observing strategies for monitoring animals using drone-mounted thermal infrared cameras , 2018, International Journal of Remote Sensing.
[35] Lance G. Barrett-Lennard,et al. Extensive Core Microbiome in Drone-Captured Whale Blow Supports a Framework for Health Monitoring , 2017, mSystems.
[36] David W Johnston,et al. Unoccupied Aircraft Systems in Marine Science and Conservation. , 2019, Annual review of marine science.
[37] Fredrik Christiansen,et al. Noise Levels of Multi-Rotor Unmanned Aerial Vehicles with Implications for Potential Underwater Impacts on Marine Mammals , 2016, Front. Mar. Sci..
[38] D. Johnston,et al. Applying Unoccupied Aircraft Systems to Study Human Behavior in Marine Science and Conservation Programs , 2019, Front. Mar. Sci..
[39] G. Hays,et al. A Paradigm Shift in the Trophic Importance of Jellyfish? , 2018, Trends in ecology & evolution.
[40] P. Kinas,et al. First abundance estimate of the Antillean manatee (Trichechus manatus manatus) in Brazil by aerial survey , 2015, Journal of the Marine Biological Association of the United Kingdom.
[41] F. Scarton,et al. Drones Improve Effectiveness and Reduce Disturbance of Censusing Common Redshanks Tringa totanus Breeding on Salt Marshes , 2020, Ardea.
[42] V. Raoult,et al. Rapid biomass and size-frequency estimates of edible jellyfish populations using drones , 2018, Fisheries Research.
[43] Blake M. Allan,et al. Free as a drone: ecologists can add UAVs to their toolbox , 2015 .
[44] Blake M. Allan,et al. A Rapid UAV Method for Assessing Body Condition in Fur Seals , 2019, Drones.
[45] D. Bird,et al. Population Census of a Large Common Tern Colony with a Small Unmanned Aircraft , 2015, PloS one.
[46] Corey J. A. Bradshaw,et al. Aerial survey as a tool to estimate whale shark abundance trends , 2009 .
[47] Ved Chirayath,et al. Drones that see through waves – preliminary results from airborne fluid lensing for centimetre-scale aquatic conservation , 2016 .
[48] S. B. Bengtson Nash,et al. Variation in outer blubber lipid concentration does not reflect morphological body condition in humpback whales , 2020, Journal of Experimental Biology.
[49] C. Navas,et al. Thermal Imaging Reveals Changes in Body Surface Temperatures of Blacktip Sharks (Carcharhinus limbatus) during Air Exposure , 2018, Physiological and Biochemical Zoology.
[50] Jonathan D. Burnett,et al. Insight into the kinematics of blue whale surface foraging through drone observations and prey data , 2020, PeerJ.
[51] L. SweeneyKathryn,et al. A novel approach to compare pinniped populations across a broad geographic range , 2015 .
[52] G. Rieucau,et al. Use of Drones in Fishery Science , 2019, Transactions of the American Fisheries Society.
[53] K. Bjorndal,et al. Accounting for Imperfect Detection Is Critical for Inferring Marine Turtle Nesting Population Trends , 2013, PloS one.
[54] G. Bota,et al. Unmanned aircraft systems to unravel spatial and temporal factors affecting dynamics of colony formation and nesting success in birds , 2017 .
[55] Alexandre C. G. Schimel,et al. A new perspective of storm bite on sandy beaches using Unmanned Aerial Vehicles , 2016 .
[56] Ohseok Kwon,et al. The use of conservation drones in ecology and wildlife research , 2015 .
[57] P. K. Anderson. Habitat, Niche, and Evolution of Sirenian Mating Systems , 2002, Journal of Mammalian Evolution.
[58] Antoine Collin,et al. Mapping coral reefs using consumer-grade drones and structure from motion photogrammetry techniques , 2017, Coral Reefs.
[59] Trevor R. Spradlin,et al. Assessment of known impacts of unmanned aerial systems (UAS) on marine mammals: data gaps and recommendations for researchers in the United States1 , 2016 .
[60] Travis W. Horton,et al. Doctor Drone: Non-invasive Measurement of Humpback Whale Vital Signs Using Unoccupied Aerial System Infrared Thermography , 2019, Front. Mar. Sci..
[61] M. Magnasco,et al. Bottlenose Dolphins and Antillean Manatees Respond to Small Multi-Rotor Unmanned Aerial Systems , 2018, Front. Mar. Sci..
[62] Marla M. Holt,et al. Why whales are big but not bigger: Physiological drivers and ecological limits in the age of ocean giants , 2019, Science.
[63] D. Rossmo,et al. Hunting patterns and geographic profiling of white shark predation , 2009 .
[64] Hassan Noura,et al. Emergency Control of AR Drone Quadrotor UAV Suffering a Total Loss of One Rotor , 2017, IEEE/ASME Transactions on Mechatronics.
[65] W. Perryman,et al. Photogrammetry of killer whales using a small hexacopter launched at sea1 , 2015 .
[66] E. Pakhomov,et al. Using unmanned aerial vehicles (UAVs) to measure jellyfish aggregations , 2017 .
[67] Antoine M. Dujon,et al. Importance of machine learning for enhancing ecological studies using information-rich imagery , 2019, Endangered Species Research.
[68] B. Würsig,et al. Mating patterns of dusky dolphins ( Lagenorhynchus obscurus ) explored using an unmanned aerial vehicle , 2020 .
[69] Paulo Nunes,et al. AragoJ: A free, open‐source software to aid single camera photogrammetry studies , 2020, Methods in Ecology and Evolution.
[70] Tim van Emmerik,et al. Riverine Plastic Litter Monitoring Using Unmanned Aerial Vehicles (UAVs) , 2019, Remote. Sens..
[71] Johann Mourier,et al. Using unmanned aerial vehicles (UAVs) to investigate shark and ray densities in a shallow coral lagoon , 2016 .
[72] Douglas J. Krause,et al. A small unmanned aerial system for estimating abundance and size of Antarctic predators , 2015, Polar Biology.
[73] I. Jonsen,et al. An Economical Custom-Built Drone for Assessing Whale Health , 2017, Front. Mar. Sci..
[74] P. Pomeroy,et al. Assessing use of and reaction to unmanned aerial systems in gray and harbor seals during breeding and molt in the UK , 2015 .
[75] P. Dann,et al. Looking Without Landing—Using Remote Piloted Aircraft to Monitor Fur Seal Populations Without Disturbance , 2018, Front. Mar. Sci..
[76] Ashray A. Doshi,et al. Behaviour reactions of bottlenose dolphins (Tursiops truncatus) to multirotor Unmanned Aerial Vehicles (UAVs) , 2019, Scientific Reports.
[77] Mitchell B. Lyons,et al. Monitoring large and complex wildlife aggregations with drones , 2019, Methods in Ecology and Evolution.
[78] R. Clarke,et al. Remotely piloted aircraft improve precision of capture–mark–resight population estimates of Australian fur seals , 2019, Ecosphere.
[79] Scot E. Smith,et al. Small Unmanned Aircraft Systems for Low-Altitude Aerial Surveys , 2010 .
[80] D. Johnston,et al. Assessing the disturbance potential of small unoccupied aircraft systems (UAS) on gray seals (Halichoerus grypus) at breeding colonies in Nova Scotia, Canada , 2018, PeerJ.
[81] Karen E. Joyce,et al. Principles and practice of acquiring drone-based image data in marine environments , 2019, Marine and Freshwater Research.
[82] Nicolas E. Humphries,et al. Ocean-wide tracking of pelagic sharks reveals extent of overlap with longline fishing hotspots , 2016, Proceedings of the National Academy of Sciences.
[83] Daniel Gonzalez-Socoloske,et al. Detection of free-ranging West Indian manatees Trichechus manatus using side-scan sonar , 2009 .
[84] T. Tucker,et al. Measuring behavioral responses of sea turtles, saltwater crocodiles, and crested terns to drone disturbance to define ethical operating thresholds , 2018, PloS one.
[85] A. Terauds,et al. PUP PRODUCTION AND POPULATION TRENDS OF THE AUSTRALIAN FUR SEAL (ARCTOCEPHALUS PUSILLUS DORIFERUS) , 2005 .
[86] A. C. Seymour,et al. Automated detection and enumeration of marine wildlife using unmanned aircraft systems (UAS) and thermal imagery , 2017, Scientific Reports.
[87] Population density and abundance of basking sharks Cetorhinus maximus in the lower Bay of Fundy, Canada , 2014 .
[88] B. Kelaher,et al. Comparison of sampling precision for nearshore marine wildlife using unmanned and manned aerial surveys , 2020 .
[89] C. Bradshaw,et al. ESTIMATING SURVIVAL AND CAPTURE PROBABILITY OF FUR SEAL PUPS USING MULTISTATE MARK–RECAPTURE MODELS , 2003 .
[90] D. Gendron,et al. Effect of drone-based blow sampling on blue whale (Balaenoptera musculus) behavior , 2018 .
[91] Geoff Groom,et al. Remote sensing image data and automated analysis to describe marine bird distributions and abundances , 2013, Ecol. Informatics.
[92] M. Bishop,et al. Assessing variation in assemblages of large marine fauna off ocean beaches using drones , 2020 .
[93] B. Bruce,et al. Use of stereo baited remote underwater video systems to estimate the presence and size of white sharks (Carcharodon carcharias) , 2017 .
[94] Johann Mourier,et al. Using unmanned aerial vehicle (UAV) surveys and image analysis in the study of large surface-associated marine species: a case study on reef sharks Carcharhinus melanopterus shoaling behaviour. , 2018, Journal of fish biology.
[95] David Peel,et al. Unmanned aerial vehicles for surveying marine fauna: assessing detection probability. , 2017, Ecological applications : a publication of the Ecological Society of America.
[96] M. Manuel,et al. Testing marine conservation applications of unmanned aerial systems (UAS) in a remote marine protected area , 2015 .
[97] G. Schofield,et al. Drones for research on sea turtles and other marine vertebrates – A review , 2019, Biological Conservation.
[98] A. Gallagher,et al. Apex predatory sharks and crocodiles simultaneously scavenge a whale carcass , 2018, Journal of Ethology.
[99] Louise Tosetto,et al. Drone-Based High-Resolution Tracking of Aquatic Vertebrates , 2018, Drones.
[100] D. Pagendam,et al. Reliability of marine faunal detections in drone-based monitoring , 2019, Ocean & Coastal Management.
[101] G. Schofield,et al. Aerial and underwater surveys reveal temporal variation in cleaning-station use by sea turtles at a temperate breeding area , 2017 .
[102] Daniele Ventura,et al. Mapping and Classification of Ecologically Sensitive Marine Habitats Using Unmanned Aerial Vehicle (UAV) Imagery and Object-Based Image Analysis (OBIA) , 2018, Remote. Sens..
[103] J. Rowland,et al. Drone with thermal infrared camera provides high resolution georeferenced imagery of the Waikite geothermal area, New Zealand , 2016 .
[104] Michele Thums,et al. Translating Marine Animal Tracking Data into Conservation Policy and Management. , 2019, Trends in ecology & evolution.
[105] H. Weimerskirch,et al. From early life to senescence: individual heterogeneity in a long‐lived seabird , 2017, Ecological monographs.
[106] G. Rathbun,et al. Analysis of propeller wounds on manatees in Florida , 1982 .
[107] C. Soldatini,et al. A new use of technology to solve an old problem: Estimating the population size of a burrow nesting seabird , 2018, PloS one.
[108] A. Hodgson,et al. Unmanned Aerial Vehicles (UAVs) for Surveying Marine Fauna: A Dugong Case Study , 2013, PloS one.
[109] Julian A. Tyne,et al. Challenges of collecting blow from small cetaceans , 2019, Ecosphere.
[110] William T. Gough,et al. Scaling of swimming performance in baleen whales , 2019, Journal of Experimental Biology.
[111] D. Weller,et al. Responsible Practices for Minimizing and Monitoring Environmental Impacts of Marine Seismic Surveys with an Emphasis on Marine Mammals , 2013 .
[112] M. Cody,et al. Observer variability in pinniped counts: Ground-based enumeration of walruses at haul-out sites , 2005 .
[113] K. Pitt,et al. Temporal variation in the virgin biomass of the edible jellyfish, Catostylus mosaicus (Scyphozoa, Rhizostomeae). , 2003 .
[114] B. Lynch,et al. Performance of manned and unmanned aerial surveys to collect visual data and imagery for estimating arctic cetacean density and associated uncertainty , 2018, Journal of Unmanned Vehicle Systems.
[115] A. Friedlaender,et al. Return movement of a humpback whale between the Antarctic Peninsula and American Samoa: a seasonal migration record , 2011 .
[116] Matthew E. Watts,et al. Estuarine crocodiles ride surface currents to facilitate long-distance travel. , 2010, The Journal of animal ecology.
[117] S. Wich,et al. Counting crocodiles from the sky: monitoring the critically endangered gharial (Gavialis gangeticus) population with an unmanned aerial vehicle (UAV) , 2018, Journal of Unmanned Vehicle Systems.
[118] P. Dann,et al. Drivers and annual estimates of marine wildlife entanglement rates: A long-term case study with Australian fur seals. , 2015, Marine pollution bulletin.
[119] R. Angliss,et al. Comparing manned to unmanned aerial surveys for cetacean monitoring in the Arctic: methods and operational results , 2018, Journal of Unmanned Vehicle Systems.
[120] Xin Li,et al. Weight threshold estimation of falling UAVs (Unmanned Aerial Vehicles) based on impact energy , 2018, Transportation Research Part C: Emerging Technologies.
[121] Douglas J. Krause,et al. State of knowledge: Antarctic wildlife response to unmanned aerial systems , 2018, Polar Biology.
[122] Margarita Mulero-Pázmány,et al. Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review , 2017, PloS one.
[123] P. Enderlein,et al. A protocol for the aerial survey of penguin colonies using UAVs1 , 2015 .
[124] P. Jepson,et al. Criteria and case definitions for serious injury and death of pinnipeds and cetaceans caused by anthropogenic trauma. , 2013, Diseases of aquatic organisms.
[125] R. Ormond,et al. Are close-following and breaching behaviours by basking sharks at aggregation sites related to courtship? , 2018, Journal of the Marine Biological Association of the United Kingdom.
[126] C. Daly,et al. Life after death: behaviour of multiple shark species scavenging a whale carcass , 2019, Marine and Freshwater Research.
[127] R. Elsey,et al. The Use of an Unmanned Aerial Vehicle to Locate Alligator Nests , 2016, Southeastern Naturalist.
[128] T. Patterson,et al. Spatiotemporal distribution patterns of immature Australasian white sharks (Carcharodon carcharias) , 2020, Scientific Reports.
[129] E. Holmes,et al. Virological Sampling of Inaccessible Wildlife with Drones , 2018, Viruses.
[130] M. Fuentes,et al. Resilience of marine turtle regional management units to climate change , 2013, Global change biology.
[131] Use of unmanned aerial vehicles (UAVs) for mark-resight nesting population estimation of adult female green sea turtles at Raine Island , 2020, PloS one.
[132] C. Layman,et al. Using a small, consumer grade drone to identify and count marine megafauna in shallow habitats , 2018, Latin American Journal of Aquatic Research.
[133] D. Johnston,et al. Shark detection probability from aerial drone surveys within a temperate estuary , 2020 .
[134] Lian Pin Koh,et al. Drones count wildlife more accurately and precisely than humans , 2017, bioRxiv.
[135] B. Kelaher,et al. The potential for unmanned aerial vehicles (UAVs) to conduct marine fauna surveys in place of manned aircraft , 2018 .
[136] Corey T. Callaghan,et al. Bird interactions with drones, from individuals to large colonies , 2017, bioRxiv.
[137] G. Schofield,et al. Detecting elusive aspects of wildlife ecology using drones: new insights on the mating dynamics and operational sex ratios of sea turtles , 2017 .
[138] S. Kajiura,et al. Adult blacktip sharks (Carcharhinus limbatus) use shallow water as a refuge from great hammerheads (Sphyrna mokarran). , 2020, Journal of fish biology.
[139] D. Bird,et al. Seabird species vary in behavioural response to drone census , 2017, Scientific Reports.
[140] M. Westoby,et al. Assessing climate change associated sea‐level rise impacts on sea turtle nesting beaches using drones, photogrammetry and a novel GPS system , 2018, Global change biology.
[141] W. J. Nichols,et al. Are we working towards global research priorities for management and conservation of sea turtles , 2016 .
[142] Joshua T. Ackerman,et al. Effects of investigator disturbance on hatching success and nest-site fidelity in a long-lived seabird, Leach's storm-petrel , 2004 .