Advances in the tracking of marine species: using GPS locations to evaluate satellite track data and a continuous-time movement model

Argos satellite tracking provides information about the large-scale movements of marine species, but the limitations in position accuracy and frequency make it difficult to interpret fine-scale behaviour. With Fastloc global positioning system (GPS) technology, it is now possible to overcome these limitations when tracking diving marine species. We compared differences among archived GPS (GPS), transmitted GPS (GPS-t) and Argos satellite (PTT) tracks acquired simultaneously on 30 northern fur seals Callorhinus ursinus. We examined times and distances between locations, as well as overall trip characteristics (e.g. distance traveled and transit rate). The GPS data were also used to test the accuracy of a continuous-time correlated random walk model created to cope with the spatial error and gap times associated with PTT locations. Significantly more GPS locations per day were acquired than PTT locations (31.6 ± 1.9 vs. 12.0 ± 0.3, respectively), and the GPS locations were more evenly distributed along the track. The influence of data type (GPS, GPS-t, PTT) varied based on the parameter measured, ranging from different among all (e.g. average transit rate) to no significant difference (e.g. maximum distance traveled). Modeling of both PTT and GPS-t data resulted in tracks with over 79% of predicted locations less than 5 km from the GPS location (average location error: 3.2 ± 0.1 and 1.7 ± 0.1 km, respectively). This study demonstrates the added benefit of using GPS to track marine species, as well as how and when modeled PTT data may be sufficient to address study questions.

[1]  J. Sherman Observations of Argos Performance , 1992 .

[2]  Daniel P. Costa,et al.  FORAGING ECOLOGY OF NORTHERN ELEPHANT SEALS , 2000 .

[3]  Thomas R. Loughlin,et al.  Oceanographic features related to northern fur seal migratory movements , 2005 .

[4]  Arthur R. Rodgers,et al.  PERFORMANCE OF A GPS ANIMAL LOCATION SYSTEM UNDER BOREAL FOREST CANOPY , 1995 .

[5]  Graeme C. Hays,et al.  Sea turtles: A review of some key recent discoveries and remaining questions , 2008 .

[6]  G. Hays,et al.  Long‐term satellite telemetry of the movements and habitat utilisation by green turtles in the Mediterranean , 2002 .

[7]  Y. Ropert‐Coudert,et al.  How do different data logger sizes and attachment positions affect the diving behaviour of little penguins , 2007 .

[8]  Matthew H. Godfrey,et al.  Satellite tracking of sea turtles: Where have we been and where do we go next? , 2008 .

[9]  M. A. Fedak,et al.  Variations in behavior and condition of a Southern Ocean top predator in relation to in situ oceanographic conditions , 2007, Proceedings of the National Academy of Sciences.

[10]  C. C. Schwartz,et al.  Radiotracking large wilderness mammals: integration of GPS and Argos technology , 1999 .

[11]  Todd O'Brien,et al.  Autonomous Pinniped Environmental Samplers: Using Instrumented Animals as Oceanographic Data Collectors , 2001 .

[12]  Henri Weimerskirch,et al.  Interpolation of animal tracking data in a fluid environment , 2006, Journal of Experimental Biology.

[13]  I. Hulbert,et al.  The accuracy of GPS for wildlife telemetry and habitat mapping , 2001 .

[14]  M. Shultz,et al.  Thick-billed murres use different diving behaviors in mixed and stratified waters , 2008 .

[15]  Peter L. Tyack,et al.  Using at-sea experiments to study the effects of airguns on the foraging behavior of sperm whales in the Gulf of Mexico , 2009 .

[16]  Corey J A Bradshaw,et al.  Measurement error causes scale-dependent threshold erosion of biological signals in animal movement data. , 2007, Ecological applications : a publication of the Ecological Society of America.

[17]  D. Costa,et al.  Multiple foraging strategies in a marine apex predator, the Galapagos Sea Lion , 2008 .

[18]  N. Gemmell,et al.  Summer foraging areas for lactating New Zealand sea lions Phocarctos hookeri , 2005 .

[19]  S. Garthe,et al.  Flight destinations and foraging behaviour of northern gannets ( Sula bassana) preying on a small forage fish in a low-Arctic ecosystem , 2007 .

[20]  Brendan J. Godley,et al.  Post-nesting movements and submergence patterns of loggerhead marine turtles in the Mediterranean assessed by satellite tracking , 2003 .

[21]  Michael A. Fedak,et al.  A simple new algorithm to filter marine mammal Argos locations , 2008 .

[22]  T. R. Walker,et al.  Variation in foraging effort by lactating Antarctic fur seals: response to simulated increased foraging costs , 1997, Behavioral Ecology and Sociobiology.

[23]  S. Bograd,et al.  Persistent Leatherback Turtle Migrations Present Opportunities for Conservation , 2008, PLoS biology.

[24]  Watson,et al.  Hydrodynamic effect of a satellite transmitter on a juvenile green turtle (Chelonia mydas) , 1998, The Journal of experimental biology.

[25]  Corey J. A. Bradshaw,et al.  At-sea distribution of female southern elephant seals relative to variation in ocean surface properties , 2004 .

[26]  S. Åkesson,et al.  The implications of location accuracy for the interpretation of satellite-tracking data , 2001, Animal Behaviour.

[27]  Y. Ropert‐Coudert,et al.  Foraging behaviour and energetics of Cape gannets Morus capensis feeding on live prey and fishery discards in the Benguela upwelling system , 2007 .

[28]  P. Boveng,et al.  Provisioning strategies of Antarctic fur seals and chinstrap penguins produce different responses to distribution of common prey and habitat , 2007 .

[29]  Mary-Anne Lea,et al.  Extreme weather events influence dispersal of naive northern fur seals , 2009, Biology Letters.

[30]  D. L. Stokes,et al.  Oceans apart: conservation models for two temperate penguin species shaped by the marine environment , 2007 .

[31]  M. Hindell,et al.  Colony-based foraging segregation by Antarctic fur seals at the Kerguelen Archipelago , 2008 .

[32]  C. Bost,et al.  Foraging under contrasting oceanographic conditions: the gentoo penguin at Kerguelen Archipelago , 2005 .

[33]  Devin S Johnson,et al.  Continuous-time correlated random walk model for animal telemetry data. , 2008, Ecology.

[34]  Y. Naito,et al.  Dispersal and dive patterns in gravid leatherback turtles during the nesting season in French Guiana , 2006, q-bio/0611056.

[35]  D. Grémillet,et al.  GPS tracking a marine predator: the effects of precision, resolution and sampling rate on foraging tracks of African Penguins , 2004 .

[36]  Charles M. Bishop,et al.  Novel GPS tracking of sea turtles as a tool for conservation management , 2007 .

[37]  M. Sumner,et al.  Spatial separation of foraging habitats among New Zealand fur seals , 2006 .

[38]  Clive R. McMahon,et al.  Thermal niche, large‐scale movements and implications of climate change for a critically endangered marine vertebrate , 2006 .

[39]  H. Higuchi,et al.  Foraging activity and submesoscale habitat use of waved albatrosses Phoebastria irrorata during chick-brooding period , 2005 .

[40]  C. Bradshaw,et al.  Satellite tracking reveals unusual diving characteristics for a marine reptile, the olive ridley turtle : Lepidochelys olivacea , 2007 .

[41]  U. Ellenberg,et al.  Consistent foraging routes and benthic foraging behaviour in yellow-eyed penguins , 2007 .

[42]  Charles M. Bishop,et al.  Linear tracks and restricted temperature ranges characterise penguin foraging pathways. , 2008 .

[43]  Sebastián P. Luque,et al.  Differences in foraging strategy and maternal behaviour between two sympatric fur seal species at the Crozet Islands , 2005 .

[44]  Jeremy T. Sterling,et al.  Foraging route tactics and site fidelity of adult female northern fur seal (Callorhinus ursinus) around the Pribilof Islands , 2008 .

[45]  Ian D. Jonsen,et al.  Identifying leatherback turtle foraging behaviour from satellite telemetry using a switching state-space model , 2007 .

[46]  B. Robson,et al.  Acoustic determination of activity and flipper stroke rate in foraging northern fur seal females , 2008 .