Modeling of a Crisis in the Biophysical Process by the Method of Predicative Hybrid Structures

Crisis processes of biosystems often develop according to scenarios rapid collapse, which cannot be predicted by statistical methods. This paper develops a method for constructing hybrid computational models using event-hierarchy representation biophysical processes. System events calculated the algorithm change order calculation equations given set rules. The rules physically conditioned redefinition right-hand sides differential are used. predicates employ calculations group accompanying characteristics, an integral part controlled dynamics. model is investigated presenting scenario with parameters, initial values, and making decisions about changing impact discrete time. Using experiments, real outcome situation that leads collapse system at level exposure described. sets logic control external pressure on natural environment. It shown as result modeling transition process oscillatory mode choice risky mode. has been established dynamics many water populations point threshold reduction in efficiency replenishment stocks. uses transformations phase portrait iterations, which, presence disconnected boundaries areas attraction alternative attractors strange chaotic repeller, lead uncertainty effects arising due modes deterministic model. properties described regime confirmed example catch oceanic species crustaceans.