By Efraim Halfon (Auth.)
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Extra info for Theoretical Systems Ecology. Advances and Case Studies
Dz/dt T2 Some p r e d a t o r (food, prey, pred) N o predator (food, prey/pred) Equilibrium fraction u* (avg. utilization) fl l-(x*+y* -1 l l +y*PiN2Tï (p1Nl)- Tl + z*) 1 40 Bernard P. Zeigler is assumed to go extinct. Moreover, the equations can be easily simulated to generate the associated dynamic behavior. The predictions thus m a d e can be matched against the behavior of the simulated occupancy models, to the advantage of both model types (see p. 52). 6. O R G A N I Z A T I O N O F M O D E L S The hierarchy of models is displayed in Fig.
1 days, pydifi = 20. E m ploying the d a t a set 63 E-2, Fig. 15. 1 days) to cover much less distance ( 1 3 x 0 . 0 versus 0 . 0, see Section 7) than they d o in the hazard-free cases. A,4. Predator Migration Predator migration parameters pdrem, pdsurvive, meanpdsearch, and pddifi were adjusted in the discrete event lumped model so as to fit as closely as possible the data element 58, I I I , Fig. 8 representing the 1958 universe in which coexistence was established. T h e settings of the prey migration parameters were those determined from the complex 1963 1.
5. I, we can determine corresponding parameter values for the occupancy model, using the relations of Table VII. In order to explore the behavior of the occupancy model in this space, we fixed all but the migration parameters at the extremes of their ranges and sampled the model behavior for allowable assignments of the latter parameters. Employing the equilibrium relations in Table VI, we can uniquely determine the effective neighborhoods p1Nl and p2N2 of the R P S model required t o reproduce the occupancy averages of the d a t a (58, II I, Fig.
Theoretical Systems Ecology. Advances and Case Studies by Efraim Halfon (Auth.)