Testing a spatially explicit, individual-based model of Red-cockaded Woodpecker population dynamics
                Authored by JR Walters, K Schiegg, JA Priddy
                
                    Date Published: 2005
                
                
                    DOI: 10.1890/04-1473
                
                
                    Sponsors:
                    
                        Swiss National Science Foundation (SNSF)
                        
                
                
                    Platforms:
                    
                        No platforms listed
                    
                
                
                    Model Documentation:
                    
                        Other Narrative
                        
                        Mathematical description
                        
                
                
                    Model Code URLs:
                    
                        Model code not found
                    
                
                Abstract
                Stochastic population models are widely used to assess extinction risk
under various management scenarios, but due to the lack of independent
data, such models are tested only rarely. Here we evaluate the
predictive accuracy of a stochastic, spatially explicit, individual-based model of the population dynamics of the Red-cockaded
Woodpecker by comparing simulated data with independent empirical data
sets from two populations. We examined primary model predictions such as
Population size and number of territories, and secondary predictions
such as population structure, dispersal success, natal dispersal
distances, and age distributions. The model predicted most evaluated
parameters with high accuracy, but model performance could be enhanced
by including pioneering behavior and by improving estimates of mate and
female dispersal behavior. We judge our model to provide reliable
predictions when applied to real populations, with a few specific
exceptions.
                
Tags
                
                    Management
                
                    Reliability
                
                    Risk
                
                    ecology
                
                    Dispersal
                
                    Forest
                
                    Viability analysis
                
                    Picoides-borealis
                
                    Statistical validation