Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence
Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy-related parameters while allowing for imperfect detectability, and make recommendations for designing studies using these models.
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ˆ ˆ abundance approach assumption Bayesian capture-recapture changes in occupancy Chapter co-occurrence conducted consider covariates defined detecting the species detection history detection probability distance band ecological esti example explicit dynamics extinction and colonization extinction probabilities function habitat Hanski heterogeneity hypotheses interest investigations likelihood likelihood function local extinction logistic logit Markov process matrix metapopulation methods missing observations model selection multiple seasons multiple species Nichols number of occupied number of sites number of species number of surveys obtained occu occupancy and detection occupancy data occupancy dynamics occupancy estimate occupancy models occupancy probabilities occupancy studies occupied sites odds ratio pancy patch posterior distribution present prob probability of detecting probability of observing probability of occupancy processes random variable relationship repeated surveys sample units single-season situations species richness species was detected standard error statistical suitable target species unoccupied values variance variance-covariance matrix vital rates WinBUGS