Cargando…
Change-point models for identifying behavioral transitions in wild animals
Animal behavior can be difficult, time-consuming, and costly to observe in the field directly. Innovative modeling methods, such as hidden Markov models (HMMs), allow researchers to infer unobserved animal behaviors from movement data, and implementations often assume that transitions between states...
Autores principales: | Gundermann, Kathleen P., Diefenbach, D. R., Walter, W. D., Corondi, A. M., Banfield, J. E., Wallingford, B. D., Stainbrook, D. P., Rosenberry, C. S., Buderman, F. E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589947/ https://www.ncbi.nlm.nih.gov/pubmed/37864238 http://dx.doi.org/10.1186/s40462-023-00430-0 |
Ejemplares similares
-
Accounting for tagging-to-harvest mortality in a Brownie tag-recovery model by incorporating radio-telemetry data
por: Buderman, Frances E, et al.
Publicado: (2014) -
Heterogeneity of a landscape influences size of home range in a North American cervid
por: Walter, W. David, et al.
Publicado: (2018) -
Caution is warranted when using animal space-use and movement to infer behavioral states
por: Buderman, Frances E., et al.
Publicado: (2021) -
Risky movements? Natal dispersal does not decrease survival of a large herbivore
por: Long, Eric S., et al.
Publicado: (2021) -
The effects of exploratory behavior on physical activity in a common animal model of human disease, zebrafish (Danio rerio)
por: DePasquale, Cairsty, et al.
Publicado: (2022)