This process, known ascoevolution, can occur because of predator and prey, symbiotic, orcompetitive interactions. Using the FFT has opened the door formodeling more complex communities of interacting species. I have begantesting a models of three and eight competing species, which I hope willyield interesting results. Also, the model can be further modified to beappropriate for predator prey relationships, which would allow for themodeling of complex food webs.to be appropriate for predator prey relationships, which would allow forthe modeling of complex food webs. Because of its economic and ecological impact,MPB has been the subject of extensive research primarily aimedat the protection of valuable forest resources.
Many factors influence the severity of attacks and resultingmortality levels.
A better understanding of the various dynamicsof beetle populations and the factors of a forest landscape wouldallow for more effective management used to reduce the frequencyof massive outbreak. A quick and simple discrete model of MPB dispersal and host-insectinteraction was developed to investigate how varying conditionseffect forest mortality. I will show how a recurrant input neural network actually becomes a mathamatical model for nonlinear time series. I will explain how this network design learns, and how it forecasts after it has learned. From data, we produced time series and return maps.