title: A dynamic life table model of Psorophora columbiae in the southern Louisiana rice agroecosystem with supporting hydrologic submodel. Part 1. Analysis of literature and model development.
abstract: During the past decade, the rice agroecosystem and its associated mosquitoes have been the subject of an extensive research effort directed toward the development and implementation of integrated pest management (IPM) strategies. The objective of this work was to synthesize the literature and unpublished data on the rice agroecosystem into a comprehensive simulation model of the key elements of the system known to influence the population dynamics of Psorophora columbiae. Subsequent companion papers will present a validation of these models, provide an in-depth analysis of the population dynamics of Ps. columbiae, and evaluate current and proposed IPM strategies for this mosquito. This paper describes the development of 2 models: WaterMod: Because spatial and temporal distributions of surface water and soil moisture play a decisive role in the dynamics of Ps. columbiae, an essentially hydrological simulator was developed. Its purpose is to provide environmental inputs for a second model (PcSim) which simulates the population dynamics of Ps. columbiae. WaterMod utilizes data on weather, agricultural practices, and soil characteristics for a particular region to generate a data set containing daily estimates of soil moisture and depth of water table for 12 representative areas comprising the rice agroecosystem. This model could be used to provide hydrologic inputs for additional simulation models of other riceland mosquito species. PcSim: This model simulates the population dynamics of Ps. columbiae by using the computer to maintain a daily accounting of the absolute number of mosquitoes within each daily age class for each life stage. The model creates estimates of the number of eggs, larvae, pupae, and adults for a representative l-ha area of a rice agroecosystem.
authors.affiliation: Insects Affecting Man and Animals Research Laboratory, U.S. Department of Agriculture, Gainesville, FL 32604.
authors.forename: D A
authors.initials: DA
authors.lastname: Focks
authors.forename: R E
authors.initials: RE
authors.lastname: McLaughlin
authors.forename: B M
authors.initials: BM
authors.lastname: Smith
mesh_terms: D000206:Actuarial Analysis; D000383:Agriculture; D000818:Animals; D003198:Computer Simulation; D009033:Culicidae / Q000502:physiology*; D008145:Louisiana; D008954:Models, Biological; D009032:Mosquito Control; D012275:Oryza; D011157:Population Dynamics; D012987:Soil / Q000032:analysis; D014867:Water / Q000032:analysis
chemical_list: D012987:Soil; D014867:Water