Analysis of movements and behavior of caribou (Rangifer tarandus) using hidden Markov models Export

@article{citeulike:4072554, abstract = {We explore how doubly stochastic, multiple-observation hidden Markov models (HMMs) may infer meaningful descriptions of woodland caribou ( Rangifer tarandus ) movement and behavior. Parameterized models allowed us to predict behavioral states (bedding, feeding and relocating), relative bout length and transitions, as well as most likely behavioral state sequences. Identification of state transitions and bout lengths appear specific to individuals and may identify dissimilar strategies of resource selection, behavior-specific habitats that are more important than is simply suggested by time spent there (pattern) and transitions between the same or different states that may be evidence for decision-making (process). Using only estimated model parameters, multiple-observation HMMs permitted us to successfully simulate movement and behavior representative of individual caribou through space and time.}, author = {Franke, A.}, citeulike-article-id = {4072554}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.ecolmodel.2003.06.004}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0304-3800(03)00398-3}, day = {01}, doi = {10.1016/j.ecolmodel.2003.06.004}, issn = {03043800}, journal = {Ecological Modelling}, keywords = {animal\_behavior, behavior, hidden\_markov\_model, hmm}, month = {April}, number = {2-3}, pages = {259--270}, posted-at = {2009-02-19 23:33:27}, priority = {0}, title = {Analysis of movements and behavior of caribou (Rangifer tarandus) using hidden Markov models}, url = {http://dx.doi.org/10.1016/j.ecolmodel.2003.06.004}, volume = {173}, year = {2004} }

TY - JOUR ID - citeulike:4072554 L3 - citeulike-article-id:4072554 N2 - We explore how doubly stochastic, multiple-observation hidden Markov models (HMMs) may infer meaningful descriptions of woodland caribou ( Rangifer tarandus ) movement and behavior. Parameterized models allowed us to predict behavioral states (bedding, feeding and relocating), relative bout length and transitions, as well as most likely behavioral state sequences. Identification of state transitions and bout lengths appear specific to individuals and may identify dissimilar strategies of resource selection, behavior-specific habitats that are more important than is simply suggested by time spent there (pattern) and transitions between the same or different states that may be evidence for decision-making (process). Using only estimated model parameters, multiple-observation HMMs permitted us to successfully simulate movement and behavior representative of individual caribou through space and time. IS - 2-3 JF - Ecological Modelling SN - 03043800 EP - 270 TI - Analysis of movements and behavior of caribou (Rangifer tarandus) using hidden Markov models VL - 173 SP - 259 KW - animal_behavior KW - behavior KW - hidden_markov_model KW - hmm AU - Franke, A PY - 2004/04/01/ UR - http://dx.doi.org/10.1016/j.ecolmodel.2003.06.004 ER -