Focks D A, McLaughlin R E, Smith B M
Insects Affecting Man and Animals Research Laboratory, U.S. Department of Agriculture, Gainesville, FL 32604.
J Am Mosq Control Assoc. 1988 Sep;4(3):282-99.
In an earlier paper, the development of 2 simulation models designed to describe the interaction between key elements of the rice agroecosystem and the population dynamics of Psorophora columbiae were presented (Focks et al. 1988a). The objective of the work reported herein was to validate these models with field data. The first model (WaterMod) predicts soil hydrology conditions as a function of weather, agricultural practices, and soil characteristics for a variety of habitats found within the rice agroecosystem which are utilized by Ps. columbiae. Using a continuous series of hydrologic data collected in southwestern Louisiana during 1984 and 1985, WaterMod was demonstrated capable of adequately predicting runoff rates and the temporal timing of soil moisture and surface water. The second model (PcSim) simulates the population dynamics of Ps. columbiae based upon a host of variables including the output from WaterMod. This model was validated by comparisons made with density estimates from the literature on the temporal and spatial distribution of various life stages and by correspondence with light trap data gathered during the same time and location as the hydrologic data. PcSim was seen to respond appropriately to host animal densities and unusual meterological events occurring during 1984 and 1985 in southern Louisiana. A discussion is presented of the interaction between agricultural practices and certain key factors of the life history strategy of Ps. columbiae which permit the unusually successful exploitation of the rice agroecosystem by this species. A subsequent paper will use these models to evaluate current and proposed IPM strategies for this mosquito (Focks et al. 1988b).
在一篇较早的论文中，介绍了两个模拟模型的开发情况，这两个模型旨在描述水稻农业生态系统的关键要素与哥伦比亚骚蚊种群动态之间的相互作用（福克斯等人，1988a）。本文所报告工作的目的是用实地数据验证这些模型。第一个模型（WaterMod）根据天气、农业实践和土壤特征预测水稻农业生态系统内多种被哥伦比亚骚蚊利用的栖息地的土壤水文状况。利用1984年和1985年在路易斯安那州西南部收集的一系列连续水文数据，证明WaterMod能够充分预测径流率以及土壤湿度和地表水的时间变化。第二个模型（PcSim）基于包括WaterMod输出结果在内的一系列变量模拟哥伦比亚骚蚊的种群动态。通过与文献中关于各个生命阶段的时间和空间分布的密度估计值进行比较，并与在与水文数据相同的时间和地点收集的诱蚊灯数据进行对比，对该模型进行了验证。可以看出，PcSim对1984年和1985年路易斯安那州南部出现的宿主动物密度和异常气象事件做出了适当反应。本文讨论了农业实践与哥伦比亚骚蚊生活史策略的某些关键因素之间的相互作用，正是这些因素使得该物种能够异常成功地利用水稻农业生态系统。随后的一篇论文将使用这些模型来评估针对这种蚊子的当前和拟议的综合虫害管理策略（福克斯等人，1988b）。
