2019
DOI: 10.1155/2019/6509867
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The State‐Dependent Impulsive Model with Action Threshold Depending on the Pest Density and Its Changing Rate

Abstract: Whether the integrated control measures are applied or not depends not only on the current density of pest population, but also on its current growth rate, and this undoubtedly brings challenges and new ideas to the state control measures that only rely on the pest density. To address this, utilizing the tactics of IPM, we constructed a Lotka-Volterra predator-prey system with action threshold depending on the pest density and its changing rate and examined its dynamical behavior. We present new criteria guara… Show more

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Cited by 8 publications
(2 citation statements)
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“…e special case of model (2) for 휔 = 0 and − = is which has been considered in [47]. We will see that the results associated to model (8) can be easily obtained based on the results for model (2).…”
Section: Construction Of Model and Main Propertiesmentioning
confidence: 87%
“…e special case of model (2) for 휔 = 0 and − = is which has been considered in [47]. We will see that the results associated to model (8) can be easily obtained based on the results for model (2).…”
Section: Construction Of Model and Main Propertiesmentioning
confidence: 87%
“…In [38], Tian et al extended the classic pest-natural enemy model with linear state-dependent control measures to a model with nonlinear statedependent impulsive control tactics. In [39], the authors for the first time introduced and provided the concept of action threshold depending on the density of pest and its rate of change. ey used the definition and properties of the Lambert W function to construct the analytical expression of the Poincaré map.…”
Section: Model Construction and Main Properties Of Action Thresholdmentioning
confidence: 99%