Horizontal movements of bigeye tuna (Thunnus obesus) near Hawaii determined by Kalman filter analysis of archival tagging data

By John Sibert, M. Musyl, R. Brill. 2003

192 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/448c2891961f92ed21f82af6e292c17376222dc8

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In Ecology

1. S. Cooke
2. B. Block
3. T. Patterson
4. Jason Matthiopoulos
5. M. Lutcavage
6. S. Hinch
7. K. Weng
8. A. Gallagher

In Global and Planetary Change

1. S. Cooke
2. N. Hammerschlag
3. A. Gallagher
4. B. Block
5. G. Skomal
6. S. Hinch
7. A. Boustany
8. M. Domeier

In Nature and Landscape Conservation

1. S. Cooke
2. N. Hammerschlag
3. B. Block
4. A. Gallagher
5. S. Hinch
6. T. Patterson
7. G. Skomal
8. A. Boustany

Citations in the corpus

• Migratory behaviour of Atlantic cod Gadus morhua: natal homing is the prime stock-separating mechanism (2007, methodology): “In order to evaluate the automatic onboard geolocation estimates, which could be distorted to an unknown and varying extent, application of an extended Kalman filter tracking model was considered as an alternative for sorting out geographic signals from tag position time series (Sibert et al. 2003).”
• A state-space model to derive bluefin tuna movement and habitat from archival tags (2005, background): “Moreover, as noted by Sibert et al. (2003), the KF suffers from drawbacks in the non-linear and non-stationary case, a common situation in animal ecology when time-varying behaviours are considered (e.g. foraging versus migration).”
• Variability in natural behaviour, and observed reactions to an ROV, by mid-slope fish species (2006, unknown): “Archival tags provide information on small scale vertical and horizontal migrations (Sibert et al 2003; Muysl et al 2003).”
• Movements of the reef manta ray (Manta alfredi) in the Red Sea using satellite and acoustic telemetry (2015, methodology): “The first method used a two-step state-space unscented Kalman filter model on the position estimates derived from the tag manufacturer’s software (KFTrack, Sibert et al. 2003).”
• Evidence of a seamount effect on aggregating visitors (2008, background): “…observations and from tagging studies that some seamounts host populations of bigeye tuna Thunnus obesus (Holland et al. 1999, Itano & Holland 2000, Sibert et al. 2000, 2003, Musyl et al. 2003), yellowfin tuna T. albacares (Holland et al. 1999, Itano & Holland 2000, Sibert et al. 2000, Klimley et…”
• State-space models for bio-loggers: A methodological road map (2013, methodology): “A fundamental difference between PSAT data and GPS/Argos data is the missing latitude component, which is difficult to estimate from light levels with simple algorithms, in particular at the equinoxes (Sibert et al., 2003).”
• Atlantic bluefin tuna: population dynamics, ecology, fisheries and management (2005, background): “…for broad-based location studies, but the same magnitude of error becomes excessive when correlating movements with fine-scale oceanographic events (Sibert et al. 2003; Teo et al. 2004; Royer et al. 2005); 3) tag attachment needs to be improved to avoid numerous premature jettisons, 4) satellite…”
• Continuous-time correlated random walk model for animal telemetry data. (2008, methodology): “Kalman filtering has been used for many years in the field of wildlife telemetry (Anderson-Sprecher and Ledolter 1991, Anderson-Sprecher 1994, Sibert et al. 2003, Royer et al. 2005, Nations and Anderson-Sprecher 2006, Forester et al. 2007).”
• State-space models of individual animal movement. (2008, methodology): “been applied to radio telemetry data [62] and to estimate location from light and sea surface temperature [ 52 ,63].”
• Movements of whale sharks (Rhincodon typus) tagged at Ningaloo Reef, Western Australia (2006, methodology): “model (Sibert and Fournier 2001; Sibert et al. 2003) to”
• Validation of geolocation estimates based on light level and sea surface temperature from electronic tags (2004, background): “…models appear to be promising frameworks for combining multiple types of location and movement information, improving location estimates, analyzing movement patterns and providing error statistics for each geolocation estimate (Sibert & Fournier 2001, Jonsen et al. 2003, Sibert et al. 2003).”
• Loyalty pays: potential life history consequences of fidelity to marine foraging regions by southern elephant seals (2004, methodology): “Therefore, to process locations, we used a Kalman filter developed to smooth the geolocation-estimated trajectories of marine vertebrates (Sibert et al. 2003).”
• MARINE RESERVES AND OCEAN NEIGHBORHOODS: The Spatial Scale of Marine Populations and Their Management (2004, background): “By contrast, bigeye tuna near Hawaii showed high levels of site fidelity, even using geolocation tags that record movements precisely (53).”
• A review of shark satellite tagging studies (2011, methodology): “…like moving averages (Matsumoto et al., 2005); (3) processing raw estimates of location using state-space movement models such as the Kalman filter (Sibert et al., 2003) or the particle filter (Royer et al., 2005); and (4) matching sea surface temperatures (SST) from tags with remotely sensed SSTs…”
• Integrating physiology and life history to improve fisheries management and conservation (2006, background): “This information can help to improve the management of tuna populations by providing insight on the typical distributions and migration patterns of different tuna species (Sibert et al. 2003; Stokesbury et al. 2004), habitat use (Brill et al.”
• Migration and behavior of juvenile North Pacific albacore ( Thunnus alalunga ) (2011, methodology): “For those time periods when the external temperature sensor had failed, precluding the use of SST, the KFtrack model (Sibert et al., 2003) was used to refine locations.”
• Movements of bluefin tuna (Thunnus thynnus) in the northwestern Atlantic Ocean recorded by pop-up satellite archival tags (2005, methodology): “A state-space Kalman filter model (Sibert and Fournier 2001; Sibert et al. 2003) was then applied to estimate movement parameters and provide a ‘‘most probable’’ trackline for each fish.”
• Tracking Pacific bluefin tuna (Thunnus thynnus orientalis)in the northeastern Pacific with an automated algorithm that estimates latitude by matching sea-surface-temperature data from satellites with temperature data from tags on fish (2005, methodology): “Sibert et al. (2003) developed an algorithm that applies a Kalman filter to light-based geolocation estimates in an attempt to reduce the error of these estimates.”