Assessing accuracy and utility of satellite-tracking data using Argos-linked Fastloc-GPS

Witt, Matthew J.; Åkesson, Susanne; Broderick, Annette C.; Coyne, Michael S.; Ellick, Jacqui; Formia, Angela; Hays, Graeme C.; Luschi, Paolo; Stroud, Stedson; Godley, Brendan J.

doi:10.1016/j.anbehav.2010.05.022

Cited by 161 publications

(145 citation statements)

References 60 publications

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“…Site fidelity was observed at all residence areas, which covered almost 5,000 turtle days. Satellite tags are criticized for their higher locational error as compared to GPS tags [63]. However, we were able to discern these patterns in residence area separation and repeatability and to remotely observe (i.e., track) some turtles for long periods at distinct residence sites (e.g., turtle A, 744/817 tracking days (91.1%) at residence area).…”

Section: Possible Residence Area Territoriesmentioning

confidence: 75%

Bahamas connection: residence areas selected by breeding female loggerheads tagged in Dry Tortugas National Park, USA

Hart

Sartain

Fujisaki

2015

Animal Biotelemetry

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Background: Delineation of home ranges, residence and foraging areas, and migration corridors is important for understanding the habitat needs for a given species. Recently, many population segments of Northwest Atlantic loggerhead sea turtles (Caretta caretta) were designated as endangered or threatened; the smallest subpopulation is in the Dry Tortugas. Foraging and residence areas for this subpopulation have not been defined outside the Gulf of Mexico. Here, for Dry Tortugas loggerheads that traveled to the Bahamas, we use a combination of switching state-space modeling (SSM) and home-range estimators to determine migration period, spatially delineate and describe residence areas, and examine inter-annual home-range repeatability.

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Section: Possible Residence Area Territoriesmentioning

confidence: 75%

Bahamas connection: residence areas selected by breeding female loggerheads tagged in Dry Tortugas National Park, USA

Hart

Sartain

Fujisaki

2015

Animal Biotelemetry

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“…These uncertainties associated with acoustic telemetry may be mitigated by (1) ensuring the array of receivers covers the area of interest, (2) tagging a large number of study animals, (3) servicing equipment every few months to ensure receiver recording status and detect false absences, and (4) use of sentinel tags for range detection and receiver testing. We also note that although we selected satellite and acoustic telemetry due to logistical goals and constraints, GPS telemetry is another technique potentially effective to both quantify the core area and co-occupancy with high location accuracy (Witt et al 2010). …”

Section: Combining Telemetry Technologiesmentioning

confidence: 99%

“…Argos assigns accuracy estimates of < 250 m for LC 3, 250 to < 500 m for LC 2, 500 to <1500 m for LC 1, and >1500 m for LC 0 (CLS 2011, also see Witt et al 2010 for on-animal location estimates). The estimated accuracy is unknown for LCs A and B (A and B differ in number of received messages), and locations failing the Argos plausibility tests are tagged as class LC Z (CLS 2011).…”

Section: Home Ranges and Core Areasmentioning

confidence: 99%

Habitat selection by green turtles in a spatially heterogeneous benthic landscape in Dry Tortugas National Park, Florida

Fujisaki¹,

Hart²,

Sartain-Iverson³

2016

Aquat. Biol.

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We examined habitat selection by green turtles Chelonia mydas at Dry Tortugas National Park, Florida, USA. We tracked 15 turtles (6 females and 9 males) using platform transmitter terminals (PTTs); 13 of these turtles were equipped with additional acoustic transmitters. Location data by PTTs comprised periods of 40 to 226 d in varying months from 2009 to 2012. Core areas were concentrated in shallow water (mean bathymetry depth of 7.7 m) with a comparably dense coverage of seagrass; however, the utilization distribution overlap index indicated a low degree of habitat sharing. The probability of detecting a turtle on an acoustic receiver was inversely associated with the distance from the receiver to turtle capture sites and was lower in shallower water. The estimated daily detection probability of a single turtle at a given acoustic station throughout the acoustic array was small (< 0.1 in any year), and that of multiple turtle detections was even smaller. However, the conditional probability of multiple turtle detections, given at least one turtle de tection at a receiver, was much higher despite the small number of tagged turtles in each year (n = 1 to 5). Also, multiple detections of different turtles at a receiver frequently occurred within a few minutes (40%, or 164 of 415, occurred within 1 min). Our numerical estimates of core area overlap, co-occupancy probabilities, and habitat characterization for green turtles could be used to guide conservation of the area to sustain the population of this species.

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“…Mean speed was then averaged by degree longitude. Mean directional headings were calculated as the 14 day average heading to minimize the variable accuracy estimates from ARGOS [53,54]. Directional headings of sea turtles and particles were then summarized at the boundaries of the prevailing currents (1558 E, 1808 E and 1608 W; table 1).…”

mentioning

confidence: 99%

Active dispersal in loggerhead sea turtles ( Caretta caretta ) during the ‘lost years’

et al. 2016

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Highly migratory marine species can travel long distances and across entire ocean basins to reach foraging and breeding grounds, yet gaps persist in our knowledge of oceanic dispersal and habitat use. This is especially true for sea turtles, whose complex life history and lengthy pelagic stage present unique conservation challenges. Few studies have explored how these young at-sea turtles navigate their environment, but advancements in satellite technology and numerical models have shown that active and passive movements are used in relation to open ocean features. Here, we provide the first study, to the best of our knowledge, to simultaneously combine a high-resolution physical forcing ocean circulation model with long-term multi-year tracking data of young, trans-oceanic North Pacific loggerhead sea turtles during their 'lost years' at sea. From 2010 to 2014, we compare simulated trajectories of passive transport with empirical data of 1-3 year old turtles released off Japan (29.7-37.5 straight carapace length cm). After several years, the at-sea distribution of simulated current-driven trajectories significantly differed from that of the observed turtle tracks. These results underscore current theories on active dispersal by young oceanic-stage sea turtles and give further weight to hypotheses of juvenile foraging strategies for this species. Such information can also provide critical geographical information for spatially explicit conservation approaches to this endangered population.

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Assessing accuracy and utility of satellite-tracking data using Argos-linked Fastloc-GPS

Cited by 161 publications

References 60 publications

Bahamas connection: residence areas selected by breeding female loggerheads tagged in Dry Tortugas National Park, USA

Bahamas connection: residence areas selected by breeding female loggerheads tagged in Dry Tortugas National Park, USA

Habitat selection by green turtles in a spatially heterogeneous benthic landscape in Dry Tortugas National Park, Florida

Active dispersal in loggerhead sea turtles ( Caretta caretta ) during the ‘lost years’

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