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ROBUST STATE-SPACE MODELING OF ANIMAL MOVEMENT DATA.
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- Ecology, 2005, v. 86, n. 11, p. 2874, doi. 10.1890/04-1852
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META-ANALYSIS OF ANIMAL MOVEMENT USING STATE-SPACE MODELS.
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- Ecology, 2003, v. 84, n. 11, p. 3055, doi. 10.1890/02-0670
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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
A novel approach to quantifying the spatiotemporal behavior of instrumented grey seals used to sample the environment.
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- Movement Ecology, 2015, v. 3, n. 1, p. 1, doi. 10.1186/s40462-015-0047-4
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Abundance estimates and habitat preferences of bottlenose dolphins reveal the importance of two gulfs in South Australia.
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- Scientific Reports, 2019, v. 9, n. 1, p. N.PAG, doi. 10.1038/s41598-019-44310-3
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- Article
Robust hierarchical state–space models reveal diel variation in travel rates of migrating leatherback turtles.
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- Journal of Animal Ecology, 2006, v. 75, n. 5, p. 1046, doi. 10.1111/j.1365-2656.2006.01129.x
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Tracking the fidelity of Atlantic bluefin tuna released in Canadian waters to the Gulf of Mexico spawning grounds.
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- Canadian Journal of Fisheries & Aquatic Sciences, 2015, v. 72, n. 11, p. 1700, doi. 10.1139/cjfas-2015-0110
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Contrasting decadal trends in mortality between large and small individuals in skate populations in Atlantic Canada.
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- Canadian Journal of Fisheries & Aquatic Sciences, 2013, v. 70, n. 1, p. 74, doi. 10.1139/cjfas-2012-0179
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Identifying nonproportionality of fishery-independent survey data to estimate population trends and assess recovery potential for cusk (Brosme brosme).
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- Canadian Journal of Fisheries & Aquatic Sciences, 2011, v. 68, n. 3, p. 413
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Consequences of global shipping traffic for marine giants.
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- Frontiers in Ecology & the Environment, 2019, v. 17, n. 1, p. 39, doi. 10.1002/fee.1987
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Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses.
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- Movement Ecology, 2023, v. 11, n. 1, p. 1, doi. 10.1186/s40462-023-00377-2
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- Article
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
The retrospective analysis of Antarctic tracking data project.
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- Scientific Data, 2020, v. 7, n. 1, p. 1, doi. 10.1038/s41597-020-0406-x
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A hierarchical Bayesian approach to multi-state mark–recapture: simulations and applications.
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- Journal of Applied Ecology, 2009, v. 46, n. 3, p. 610, doi. 10.1111/j.1365-2664.2009.01636.x
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Probability of Detecting Marine Predator-Prey and Species Interactions Using Novel Hybrid Acoustic Transmitter-Receiver Tags.
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- PLoS ONE, 2014, v. 9, n. 6, p. 1, doi. 10.1371/journal.pone.0098117
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Inferring Animal Densities from Tracking Data Using Markov Chains.
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- PLoS ONE, 2013, v. 8, n. 4, p. 1, doi. 10.1371/journal.pone.0060901
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Animal-Borne Acoustic Transceivers Reveal Patterns of at-Sea Associations in an Upper-Trophic Level Predator.
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- PLoS ONE, 2012, v. 7, n. 11, p. 1, doi. 10.1371/journal.pone.0048962
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Incorrect Likelihood Methods Were Used to Infer Scaling Laws of Marine Predator Search Behaviour.
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- PLoS ONE, 2012, v. 7, n. 10, p. 1, doi. 10.1371/journal.pone.0045174
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Hierarchical State-Space Estimation of Leatherback Turtle Navigation Ability.
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- PLoS ONE, 2010, v. 5, n. 12, p. 1, doi. 10.1371/journal.pone.0014245
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State-space models' dirty little secrets: even simple linear Gaussian models can have estimation problems.
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- Scientific Reports, 2016, p. 26677, doi. 10.1038/srep26677
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Predicted habitat shifts of Pacific top predators in a changing climate.
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- Nature Climate Change, 2013, v. 3, n. 3, p. 234, doi. 10.1038/nclimate1686
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Assessing threats to species at risk using stage-structured state–space models: mortality trends in skate populations.
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- Ecological Applications, 2009, v. 19, n. 5, p. 1347, doi. 10.1890/08-1699.1
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A standardisation framework for bio‐logging data to advance ecological research and conservation.
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- Methods in Ecology & Evolution, 2021, v. 12, n. 6, p. 996, doi. 10.1111/2041-210X.13593
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Transmitting species-interaction data from animal-borne transceivers through Service Argos using Bluetooth communication.
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- Methods in Ecology & Evolution, 2014, v. 5, n. 9, p. 864, doi. 10.1111/2041-210X.12235
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State-space framework for estimating measurement error from double-tagging telemetry experiments.
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- Methods in Ecology & Evolution, 2012, v. 3, n. 2, p. 291, doi. 10.1111/j.2041-210X.2011.00161.x
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Foraging movements of Leach's storm-petrels Oceanodroma leucorhoa during incubation.
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- Journal of Avian Biology, 2014, v. 45, n. 4, p. 305, doi. 10.1111/jav.00361
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The influence of matrix habitat on Aphthona flea beetle immigration to leafy spurge patches.
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- Oecologia, 2001, v. 127, n. 2, p. 287, doi. 10.1007/s004420000589
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Effect of matrix habitat on the spread of flea beetle introductions for biological control of leafy spurge.
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- Landscape Ecology, 2007, v. 22, n. 6, p. 883, doi. 10.1007/s10980-006-9069-z
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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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Taking animal tracking to new depths: synthesizing horizontal-vertical movement relationships for four marine predators.
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- Ecology, 2015, v. 96, n. 2, p. 417, doi. 10.1890/14-0469.1
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Sex-specific, seasonal foraging tactics of adult grey seals (Halichoerus grypus) revealed by state-space analysis.
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- Ecology, 2009, v. 90, n. 11, p. 3209, doi. 10.1890/07-1483.1
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- Article