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General methods for sensitivity analysis of equilibrium dynamics in patch occupancy models

July 12, 2012

Sensitivity analysis is a useful tool for the study of ecological models that has many potential applications for patch occupancy modeling. Drawing from the rich foundation of existing methods for Markov chain models, I demonstrate new methods for sensitivity analysis of the equilibrium state dynamics of occupancy models. Estimates from three previous studies are used to illustrate the utility of the sensitivity calculations: a joint occupancy model for a prey species, its predators, and habitat used by both; occurrence dynamics from a well-known metapopulation study of three butterfly species; and Golden Eagle occupancy and reproductive dynamics. I show how to deal efficiently with multistate models and how to calculate sensitivities involving derived state variables and lower-level parameters. In addition, I extend methods to incorporate environmental variation by allowing for spatial and temporal variability in transition probabilities. The approach used here is concise and general and can fully account for environmental variability in transition parameters. The methods can be used to improve inferences in occupancy studies by quantifying the effects of underlying parameters, aiding prediction of future system states, and identifying priorities for sampling effort.

Citation Information

Publication Year 2012
Title General methods for sensitivity analysis of equilibrium dynamics in patch occupancy models
DOI 10.1890/11-1495.1
Authors David A.W. Miller
Publication Type Article
Publication Subtype Journal Article
Series Title Ecology
Index ID 70039007
Record Source USGS Publications Warehouse
USGS Organization Patuxent Wildlife Research Center