Model Output - Replication of the Simulation
Since SIMSPAR incorporates stochastic elements, a number of simulations need to be run in order to determine the sparrow's average population size. These multiple runs can also be used to calculate the variation between simulation runs. Both the mean and the variance can be used to estimate population viabilities for the sparrow given the demographic, behavioral, and stochastic parameters set in the model. These various parameters can be altered to determine the effects of various environmental changes on both the mean population size as well as the population's viability.
By changing the default parameter values, either demographic or behavioral (see Life History Section), the sensitivity of the population to various changes in life history strategies can be gauged. These analyses can pinpoint aspects of the sparrow's life history that are most vulnerable and would result in the greatest change in overall population size. Additionally, the landscape can also be altered either by changing the composition of the habitat or altering the hydrology of the model. Thus, SIMSPAR can also be used to gauge the effects of habitat restoration, habitat degradation, and hydrological management on Cape Sable seaside sparrow populations as well.