Dynamical System and Nonlinear Regression for Estimate Host-Parasitoid Relationship

نویسندگان

  • Ileana Miranda Cabrera
  • Heyker Lellanis Baños Díaz
  • María de los Angeles Martínez
چکیده

The complex relationships of a crop with the pest, its natural enemies, and the climate factors exist in all the ecosystems, but the mathematic models has studied only some components to know the relation cause-effect. The most studied system has been concerned with the relationship pestnatural enemies such as prey-predator or host-parasitoid. The present paper shows a dynamical system for studying the relationship host-parasitoid Diaphorina citri, Tamarixia radiata and shows that a nonlinear model permits the estimation of the parasite nymphs using nymphs healthy as the known variable. The model showed the functional answer of the parasitoid, in which a point arrives that its density is not augmented although the number host increases, and it becomes necessary to intervene in the ecosystem. A simple algorithm is used to estimate the parasitoids level using the priori relationship between the host and the climate factors and then the nonlinear model.

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عنوان ژورنال:
  • J. Applied Mathematics

دوره 2010  شماره 

صفحات  -

تاریخ انتشار 2010