Monitoring and Population Density Estimation
摘要
Effective Integrated Pest Management (IPM) programs rely heavily on accurate knowledge of pest and beneficial organism populations. Within the context of the book “Decision System in Agricultural Pest Management,” this chapter, “Monitoring and Population Density Estimation,” emphasizes the critical role of population estimation and sampling in IPM practices. Accurate estimation of pest or beneficial organism populations is essential to prevent unnecessary costs and ecosystem pressures stemming from excessive pesticide applications. However, the complexity of agroecosystems and similar environments often poses challenges in obtaining precise population information. Pest densities and associated organisms exhibit dynamic changes over time, necessitating continuous monitoring using suitable sampling tools and methodologies. The chapter categorizes pest population monitoring in IPM programs into three main groups based on the pest manager’s objectives. These include monitoring to detect target pests, monitoring to compare pest densities with critical decisionmaking levels (e.g., Economic Injury Level and Economic Threshold), and monitoring to guide the selection of optimal control strategies based on critical density thresholds. Regardless of the monitoring goal, the fundamental process remains consistent. Pest managers select sample units from the ecosystem, record pest/beneficial organism presence or density, and make informed decisions based on the sampling outcomes. The chapter not only discusses these monitoring goals but also explores concepts and tools for monitoring pests and beneficial organisms across diverse ecosystems, providing valuable insights for implementing effective pest management strategies in agricultural settings.