Stochastic dynamic population model for northern corn rootworm (Coleoptera: Chrysomelidae).
A stochastic dynamic population model for the complete life cycle of northern corn rootworm, Diabrotica barberi Smith & Lawrence, is described. Adult population dynamics from emergence to oviposition are based on a published single-season model for which temperature-dependent development and age-dependent advancement determine adult population dynamics and oviposition. Randomly generated daily temperatures make this model component stochastic. Stochastic hatch is 50+/-8%. A stochastic nonlinear density-dependent larval survival model is estimated using field data from artificial infestation experiments. A regional model of corn phenology is estimated to incorporate the effect of dispersal on adult mortality. Random daily weather is generated using parameters for Brookings, SD. Model performance is evaluated with deterministic simulations, which show that the population converges to zero unless adult mortality is reduced by the availability of corn pollen from the regional model of corn phenology. Stochastic model performance is evaluated with stochastic daily weather, egg hatch, and larval survival in various combinations. Sensitivity analysis is conducted to evaluate model responsiveness to each parameter. Model results are generally consistent with published data.
Mitchell
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Department of Agricultural Economics, Texas A&M University, College Station 77843, USA.
Riedell
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D000818:Animals; D001517:Coleoptera / Q000254:growth & development*; D005260:Female; D008297:Male; D008954:Models, Biological; D015233:Models, Statistical; D011157:Population Dynamics; D013269:Stochastic Processes