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Fig. 3 | Movement Ecology

Fig. 3

From: Identifying resting locations of a small elusive forest carnivore using a two-stage model accounting for GPS measurement error and hidden behavioral states

Fig. 3

Parameter estimates from hidden Markov models (HMMs) fit to activity and apparent step lengths of 21 collar deployments for fishers. Left panel are estimates for when the fisher is in resting state and right panel is for the moving state. Parameters describe from top to bottom: log precision of the beta distribution for the activity measurement; logit mean of the beta distribution for the activity measurement; state maintenance probability is the probability of remaining in the same state in the next time step; log mean of the lognormal distribution for apparent step lengths and log standard deviation of the lognormal distribution for apparent step lengths. All estimates display the posterior mean with error bars representing the 90% uncertainty intervals

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Movement Ecology

ISSN: 2051-3933