Identifying leatherback turtle foraging behaviour from satellite telemetry using a switching state-space model
By Ian D. Jonsen, R. Myers, M. James. 2007
322 citations recorded by the source corpus.
Subfields: Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/2126695c8940adb0b1dd483abb4b25c1275e0aa3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Bj Godley
- Lucy A. Hawkes
- AC Broderick
- Ewan D. Wakefield
- Michael S. Coyne
- R. Phillips
- Jason Matthiopoulos
- G. Hays
In Nature and Landscape Conservation
- Bj Godley
- Lucy A. Hawkes
- AC Broderick
- G. Hays
- Michael S. Coyne
- Matthew H. Godfrey
- MJ Witt
- A. Boustany
Citations in the corpus
- A novel method for identifying behavioural changes in animal movement data. (2009, methodology): “Previous work on modelling animal movements as mixtures of different behaviours have limited the behavioural variability to a few categorical modes (usually travelling and foraging) and rely on Bayesian estimation methods to model probabilities of being in any given mode ( Jonsen et al. 2007; Baile”
- Revisiting the ontogenetic shift paradigm: The case of juvenile green turtles in the SW Atlantic (2012, methodology): “…Brazil Current adapted from Piola infer behavior of adult leatherbacks (Dermochelys coriacea), olive ridleys (Lepidochelys olivacea) and loggerheads (Caretta caretta) (Bailey et al., 2008; Hart et al., 2011; Jonsen et al., 2007; Maxwell et al., 2011), but never applied to immature green turtles.”
- Quantifying habitat use and preferences of pelagic seabirds using individual movement data: a review (2009, background): “…such as penguins, pinnipeds, fish and turtles, which have also been the subject of recent modeling studies (Jonsen et al. 2003, Royer et al. 2005, Jonsen et al. 2007, Aarts et al. 2008, Eckert et al. 2008, Gurarie et al. 2009) are more similar to pelagic seabirds in that they travel through a…”
- Satellite tracking of sea turtles: Where have we been and where do we go next? (2008, background): “Authors have begun to explicitly target transmission performance and accuracy (Plotkin 1998, Hays et al. 2001b, 2007) and the array of statistical techniques and treatments to improve the robustness of data interpretation is increasing (Flemming et al. 2006, Jonsen et al. 2006, 2007).”
- Local and migratory movements of humpback whales (Megaptera novaeangliae) satellite-tracked in the North Atlantic Ocean (2014, unknown): “A Bayesian switching state–space model (SSSM) (Jonsen et al. 2007) was then applied to the data to estimate positions and behavioral modes.”
- Linking foraging behaviour to physical oceanographic structures: Southern elephant seals and mesoscale eddies east of Kerguelen Islands (2010, background): “Animal behaviour can be modeled as a dynamic variable changing in relation to the animal’s internal state and/or its environment (Morales et al., 2004; Jonsen et al., 2007).”
- Identifying and comparing phases of movement by leatherback turtles using state-space models (2008, methodology): “They have been defined as transiting and foraging, and the validity of this has been assessed with diving data from Atlantic leatherback turtles (Dermochelys coriacea) as direct behavioural observations were not available (Jonsen et al., 2007).”
- The trophodynamics of marine top predators: Current knowledge, recent advances and challenges (2015, methodology): “This class of modelling methods has been widely applied to fish (Patterson et al., 2009; Pedersen et al., 2011), turtles (Jonsen et al., 2007), seabirds (Dean et al., 2013), cetaceans (Pomerleau et al., 2011), and pinnipeds (Breed et al., 2009).”
- Large‐scale movements and high‐use areas of western Pacific leatherback turtles, Dermochelys coriacea (2011, methodology): “…26 July 2011 12:08 pm Allen Press, Inc. Page 4 ECSP ES11-00053R2 Benson v www.esajournals.org 4 July 2011 v Volume 2(7) v Article 84 assuming that during migration turn angles should be closer to 0 and autocorrelation in speed and direction should be higher than when foraging (Jonsen et al. 2007).”
- Animal movements in heterogeneous landscapes: identifying profitable places and homogeneous movement bouts. (2008, methodology): “It has been used by Morales et al. (2004) and Jonsen et al. (2005, 2007) to develop original path segmentation/clustering methods.”
- Understanding movement data and movement processes: current and emerging directions. (2008, background): “…state (Blackwell 1997; Jonsen et al. 2005; Blackwell 2003); (2) they have correlated behaviors with landscape features (Johnson et al. 2002a,b; Jonsen et al. 2007; Eckert et al. 2008); (3) they have estimated hidden movement behavior within discrete habitat patches of different types as well…”
- Biologging technologies: new tools for conservation. Introduction (2010, methodology): “…to interpret these 2 Bograd et al.: Biologging technologies: Introduction data have yielded powerful new tools for understanding animal behavior (Fauchald & Tveraa 2003, Jonsen et al. 2003, 2005, 2007, Tremblay et al. 2006, 2009, Bradshaw et al. 2007, Patterson et al. 2008, Schick et al. 2008).”