Data from: Delineating important killer whale foraging areas using a spatiotemporal logistic model ...

• Main Authors: Stredulinsky, Eva H., Toews, Scott, Watson, Joe, Noren, Dawn P., Holt, Marla M., Thornton, Sheila J.
• Format: Dataset
• Language: English
• Published: Dryad 2024
• Subjects: Nature and Landscape Conservation; Ecology; FOS Biological sciences; Ecology, Evolution, Behavior and Systematics; British Columbia; Canada; Sheila; Thornton; Killer Whale; Orca; Orcinus orca; Killer whale
• Online Access: https://dx.doi.org/10.5061/dryad.zcrjdfnm9; https://datadryad.org/stash/dataset/doi:10.5061/dryad.zcrjdfnm9

Conservation management planning for highly mobile species requires an understanding of the distribution of areas that are biologically important to the species of concern. Collecting data on the locations of animal behaviors linked to biological characteristics, such as foraging, can be used to spatially describe biological important areas. However, spatial modeling of free-ranging animal behavior can be challenging, as behavioral observations of animals are often clustered, and sampling is commonly conducted at a higher frequency than changes in behavioral states, resulting in data that are usually highly autocorrelated in space and time. Here, we fit latent Gaussian process models to observational behavioral data to generate spatially-explicit predictions of foraging behavior within the critical habitat of an endangered population of fish-eating killer whales (Orcinus orca) in southern British Columbia, Canada, and northern Washington State, USA. We compare spatial models treating temporal autocorrelation ... : # Delineating important killer whale foraging areas using a spatiotemporal logistic model [https://doi.org/10.5061/dryad.zcrjdfnm9](https://doi.org/10.5061/dryad.zcrjdfnm9) For any questions regarding data and analyses in this publication, please contact the corresponding author, Sheila Thornton[ [e-mail]](mailto:[e-mail]). The authors request that should this data (or any subset therein) be used in any analyses, presentations, publications, and/or other data products, it is encouraged that the corresponding author be notified, in order to ensure that the programs and personnel responsible for the collection, assembly, and interpretation of the data are consulted and adequately credited. We recommend citing Stredulinsky et al. (2023) with any use of images or data products in analyses, presentations, publications, and/or other data products. To contact the project lead of a particular study from which data was used in this analysis: (1) Noren_2006: Dawn Noren ...