A novel method for identifying behavioural changes in animal movement data.

By Eliezer Gurarie, Russel D. Andrews, K. Laidre. Ecology Letters, 2009

394 citations recorded by the source corpus.

Subfields: Ecology, Genetics, Small Animals

View Paper: https://www.semanticscholar.org/paper/2556fe32f0e15ec2c899458cbb30cec7e00ebd3d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Tal Avgar
2. J. Signer
3. J. Fieberg
4. Ewan D. Wakefield
5. Jason Matthiopoulos
6. R. Phillips
7. P. Robinson
8. G. Thiemann

In Genetics

1. Daniel P. Costa
2. Jason Matthiopoulos
3. Ewan D. Wakefield
4. Mark A. Lewis
5. R. Phillips
6. J. Fieberg

In Small Animals

1. J. Signer
2. Tal Avgar
3. J. Fieberg
4. Daniel P. Costa
5. Jason Matthiopoulos
6. Greg A. Breed
7. P. Robinson

Citations in the corpus

• New Insights into Pelagic Migrations: Implications for Ecology and Conservation (2012, background): “Finally, there are a few examples of models that fit behavior using a continuum of parameters within state-space or similar time-series frameworks (Breed et al. 2012, Gurarie et al. 2009).”
• Predicting survival, reproduction and abundance of polar bears under climate change. (2010, positive): “…dietary information can be difficult because polar bears forage in remote sea ice habitats, but new statistical methods, such as state-space models (Franke et al., 2006) or behavioural change point analyses (Gurarie et al., 2009), could be used to extract feeding events from GPS movement data.”
• Animal movement tools (amt): R package for managing tracking data and conducting habitat selection analyses (2018, background): “Although a large number of R packages have been developed for analyzing animal movement data (e.g., Calabrese et al. , 2016; Gurarie et al. , 2009; Michelot et al. , 2016) these packages often utilize domain-specific data formats and focus on a narrow subset of analytical methods (e.g., methods for…”
• Quantifying habitat use and preferences of pelagic seabirds using individual movement data: a review (2009, background): “…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 fluid medium.”