A predictive model of the density of airborne insects in agricultural environments

This paper presents a model to predict the daily spatio-temporal variation in the abundance of airborne insects in agricultural landscapes on the basis of publicly available environmental data. Data on the abundance of insects flying near ground level were collected by a robust and effective point-count method. The validation of the model using extra data revealed a high correspondence between predicted and observed insect density. The final...