Found: 34
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A continuous-time state-space model for rapid quality control of argos locations from animal-borne tags.
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- Movement Ecology, 2020, v. 8, n. 1, p. 1, doi. 10.1186/s40462-020-00217-7
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- Article
Behaviour and habitat preferences of bigeye tuna (Thunnus obesus) and their influence on longline fishery catches in the western Coral Sea.
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- Canadian Journal of Fisheries & Aquatic Sciences, 2008, v. 65, n. 11, p. 2427, doi. 10.1139/F08-148
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- Article
Circumpolar habitat use in the southern elephant seal: implications for foraging success and population trajectories.
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- Ecosphere, 2016, v. 7, n. 5, p. n/a, doi. 10.1002/ecs2.1213
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- Article
Determining trends and environmental drivers from long-term marine mammal and seabird data: examples from Southern Australia.
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- Regional Environmental Change, 2015, v. 15, n. 1, p. 197, doi. 10.1007/s10113-014-0634-8
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- Article
Multi Year Observations Reveal Variability in Residence of a Tropical Demersal Fish, Lethrinus nebulosus: Implications for Spatial Management.
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- PLoS ONE, 2014, v. 9, n. 9, p. 1, doi. 10.1371/journal.pone.0105507
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- Article
Accounting for Location Error in Kalman Filters: Integrating Animal Borne Sensor Data into Assimilation Schemes.
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- PLoS ONE, 2012, v. 7, n. 8, p. 1, doi. 10.1371/journal.pone.0042093
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- Article
Spatial Variation in Foraging Behaviour of a Marine Top Predator (Phoca vitulina) Determined by a Large-Scale Satellite Tagging Program.
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- PLoS ONE, 2012, v. 7, n. 5, p. 1, doi. 10.1371/journal.pone.0037216
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- Article
Reproductive Schedules in Southern Bluefin Tuna: Are Current Assumptions Appropriate?
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- PLoS ONE, 2012, v. 7, n. 4, p. 1, doi. 10.1371/journal.pone.0034550
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- Article
Hidden Markov Models for Time Series.
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- Biometrics, 2019, v. 75, n. 2, p. 715, doi. 10.1111/biom.12980
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- Article
Residency, home range and tidal habitat use of Green Turtles (Chelonia mydas) in Port Curtis, Australia.
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- Marine Biology, 2021, v. 168, n. 6, p. 1, doi. 10.1007/s00227-021-03898-9
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- Article
aniMotum , an R package for animal movement data: Rapid quality control, behavioural estimation and simulation.
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- Methods in Ecology & Evolution, 2023, v. 14, n. 3, p. 806, doi. 10.1111/2041-210X.14060
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- Article
Estimation and simulation of foraging trips in land-based marine predators.
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- Ecology, 2017, v. 98, n. 7, p. 1932, doi. 10.1002/ecy.1880
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- Article
Dynamic optimal foraging theory explains vertical migrations of Bigeye tuna.
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- Ecology, 2016, v. 97, n. 7, p. 1852, doi. 10.1890/15-1130.1
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- Article
Predicting feeding success in a migratory predator: integrating telemetry, environment, and modeling techniques.
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- Ecology, 2010, v. 91, n. 8, p. 2373, doi. 10.1890/08-2019.1
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- Article
Using GPS data to evaluate the accuracy of state-space methods for correction of Argos satellite telemetry error.
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- Ecology, 2010, v. 91, n. 1, p. 273, doi. 10.1890/08-1480.1
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- Article
Movement and behaviour of large southern bluefin tuna ( Thunnus maccoyii) in the Australian region determined using pop-up satellite archival tags.
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- Fisheries Oceanography, 2008, v. 17, n. 5, p. 352, doi. 10.1111/j.1365-2419.2008.00483.x
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- Article
Objective classification of latent behavioral states in bio-logging data using multivariate-normal hidden Markov models.
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- Ecological Applications, 2015, v. 25, n. 5, p. 1244, doi. 10.1890/14-0862.1
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- Article
Important marine habitat off east Antarctica revealed by two decades of multi-species predator tracking.
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- Ecography, 2015, v. 38, n. 2, p. 121, doi. 10.1111/ecog.01021
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- Article
Spatiotemporal distribution patterns of immature Australasian white sharks (Carcharodon carcharias).
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-66876-z
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- Article
Evaluating risks to seabirds on the urban–coastal interface: Modelling dog attacks on little penguin populations in Tasmania.
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- Aquatic Conservation, 2024, v. 34, n. 3, p. 1, doi. 10.1002/aqc.4113
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Forecast‐ready models to support fisheries' adaptation to global variability and change.
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- Fisheries Oceanography, 2023, v. 32, n. 4, p. 405, doi. 10.1111/fog.12636
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- Article
Designing satellite tagging studies: estimating and optimizing data recovery.
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- Fisheries Oceanography, 2011, v. 20, n. 6, p. 449, doi. 10.1111/j.1365-2419.2011.00595.x
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- Article
Oceanic diel vertical migrations arising from a predator-prey game.
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- Theoretical Ecology, 2019, v. 12, n. 1, p. 17, doi. 10.1007/s12080-018-0385-0
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- Article
Markov models and network analysis reveal sex-specific differences in the space-use of a coastal apex predator.
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- Oikos, 2015, v. 124, n. 3, p. 307, doi. 10.1111/oik.01429
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- Article
Migration dynamics of juvenile southern bluefin tuna.
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- Scientific Reports, 2018, v. 8, n. 1, p. 1, doi. 10.1038/s41598-018-32949-3
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- Article
Uncovering ecological state dynamics with hidden Markov models.
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- Ecology Letters, 2020, v. 23, n. 12, p. 1878, doi. 10.1111/ele.13610
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- Article
Classifying movement behaviour in relation to environmental conditions using hidden Markov models.
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- Journal of Animal Ecology, 2009, v. 78, n. 6, p. 1113, doi. 10.1111/j.1365-2656.2009.01583.x
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- Article
Feeding ecology of wild migratory tunas revealed by archival tag records of visceral warming.
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- Journal of Animal Ecology, 2008, v. 77, n. 6, p. 1223, doi. 10.1111/j.1365-2656.2008.01437.x
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- Article
Scaling marine fish movement behavior from individuals to populations.
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- Ecology & Evolution (20457758), 2018, v. 8, n. 14, p. 7031, doi. 10.1002/ece3.4223
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- Article
Analysis of animal accelerometer data using hidden Markov models.
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- Methods in Ecology & Evolution, 2017, v. 8, n. 2, p. 161, doi. 10.1111/2041-210X.12657
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- Article
moveHMM: an R package for the statistical modelling of animal movement data using hidden Markov models.
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- Methods in Ecology & Evolution, 2016, v. 7, n. 11, p. 1308, doi. 10.1111/2041-210X.12578
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- Article
Experimentally derived likelihoods for light-based geolocation.
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- Methods in Ecology & Evolution, 2016, v. 7, n. 8, p. 980, doi. 10.1111/2041-210X.12555
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- Article
Modelling group dynamic animal movement.
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- Methods in Ecology & Evolution, 2014, v. 5, n. 2, p. 190, doi. 10.1111/2041-210X.12155
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- Article
Designing acoustic arrays for estimation of mortality rates in riverine and estuarine systems.
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- Canadian Journal of Fisheries & Aquatic Sciences, 2019, v. 76, n. 9, p. 1471, doi. 10.1139/cjfas-2018-0090
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- Article