Title
Linking process to pattern and a dynamic nonequilibrium approach to wildlife disease epidemics
Author(s)
Heisey, D.M., E.E. Osnas, P.C. Cross, D.O. Joly, J.A. Langenberg, and M.W. Miller
Published
2010
Publisher
Ecological Monographs
Abstract
One of the most fundamental challenges in ecology is inferring the dynamic processes behind an observed spatial pattern. Typically this challenge is characterized by the short-term observation of a pattern that was generated by long-term, continuous processes. Within the framework of linking process to pattern, this study examines the poorly-understood epidemiology of chronic wasting disease (CWD) in white-tailed deer in Wisconsin by estimating the rate parameters (age and time of disease conversion) from prevalence (number of infected individuals) data. It further illustrates a very general framework for analyzing ecological event time data using Bayesian hazard models.
Full Citation
Heisey, D.M., E.E. Osnas, P.C. Cross, D.O. Joly, J.A. Langenberg, and M.W. Miller, 2010. Linking process to pattern: a dynamic nonequilibrium approach to wildlife disease epidemics. Ecological Monographs. 80:221–240 http://www.esajournals.org/doi/abs/10.1890/09-0052.1
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