Temperature-Dependent Models for Predicting Poikilotherm Pest Occurrence
摘要
The chapter “Temperature-Dependent Models for Predicting Poikilotherm Pest Occurrence” delves into the critical role of precise prediction in the development and emergence timing of insect pests, especially in the context of Integrated Pest Management (IPM) programs. The timing of pesticide applications is crucial, as many pesticides are effective only during specific life stages of pests, losing their efficacy before or after. The challenges of monitoring pest populations and pinpointing optimal spray times have led to frequent, prolonged, and indiscriminate pesticide applications, raising concerns about broad-spectrum insecticides' environmental impact. Addressing these challenges, the chapter emphasizes the pivotal role of climate and temperature in influencing invertebrate development, with a focus on arthropods like insect pests. Mathematical models elucidating the impact of temperature on insect growth and development have garnered significant interest among entomologists and pest control managers. The chapter explores the adaptation of ambient temperature models to predict the development of poikilothermic animals, highlighting the profound influence of environmental temperature on insect physiology and developmental processes. Developmental rates vary with temperature, with insects exhibiting optimal growth within specific temperature ranges. Enzyme systems crucial for insect growth and reproduction are intricately linked to environmental temperature fluctuations. The chapter delves into linear and nonlinear models used in predicting specific pest life stages, offering practical examples to enhance comprehension. A comprehensive understanding of temperature-dependent models is essential for effective decision-making in integrated pest management strategies, underscoring the significance of leveraging predictive tools to optimize pest control efforts.