Onstad David W, Caprio Michael A, Pan Zaiqi
Corteva Agriscience, Johnston, IA 50131, USA.
Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Mississippi State, MS 39762, USA.
Insects. 2020 Oct 17;11(10):712. doi: 10.3390/insects11100712.
Both LeConte and Smith and Lawrence are among the most damaging insects impacting corn in North America. has also invaded Europe and has become an important pest in that region. Computer models have become an important tool for understanding the impact and spread of these important pests. Over the past 30 years, over 40 models have been published related to these pests. The focus of these models range from occupancy models (particularly for Europe), impact of climate change, range expansion, economics of pest management, phenology, to the evolution of resistance to toxins and crop rotation. All of these models share characteristics. We elaborate on the methods in which modelers have incorporated the biology of these pests, including density-dependence, movement, fecundity and overwintering mortality. We discuss the utility of both spatially-explicit, complex models and spatially-implicit, generational models and where each might be appropriate. We review resistance models that either explain past evolution to crop rotation, insecticides or insecticidal traits or attempt to predict the consequences of resistance management strategies.
勒孔特、史密斯和劳伦斯都是对北美玉米危害最大的昆虫之一。它还入侵了欧洲,并成为该地区的一种重要害虫。计算机模型已成为了解这些重要害虫的影响和传播的重要工具。在过去30年里,已经发表了40多种与这些害虫相关的模型。这些模型的重点范围从占有率模型(特别是针对欧洲)、气候变化的影响、范围扩展、害虫管理经济学、物候学,到对毒素的抗性进化和作物轮作。所有这些模型都有共同的特点。我们详细阐述了建模者将这些害虫的生物学特性纳入模型的方法,包括密度依赖性、移动性、繁殖力和越冬死亡率。我们讨论了空间明确的复杂模型和空间隐含的世代模型的效用以及每种模型可能适用的情况。我们回顾了抗性模型,这些模型要么解释过去对作物轮作、杀虫剂或杀虫性状的进化,要么试图预测抗性管理策略的后果。