Dynamical system and nonlinear regression for estimate host-parasitoid relationship (Q613032)
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scientific article; zbMATH DE number 5827513
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Dynamical system and nonlinear regression for estimate host-parasitoid relationship |
scientific article; zbMATH DE number 5827513 |
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Dynamical system and nonlinear regression for estimate host-parasitoid relationship (English)
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17 December 2010
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The authors presents a dynamical system for studying the relationship host-parasitoid which permits the estimation of the parasite nymphs using nymphs healthy as the known variable. The model shows 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. By using a simple algorithm, the authors estimate the parasitoids level using the priori relationship between the host and the climate factors and then the nonlinear model. They study the relation host-parasitoid and use the random sequential samples to do regression models to estimate the parasitoid percent knowing the density host in the crop.
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host-parasitoid relationship
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nonlinear regression
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stability
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0.88313484
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0.87123704
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0.86995226
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0.86395043
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0.86333877
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0.8586012
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