Modelling pheromone anemotaxis for biosecurity surveillance: moth movement patterns reveal a downwind component of anemotaxis.

摘要: Abstract Insect pheromone traps are becoming an increasingly important tool in biosecurity and pest surveillance, alerting managers to the presence of unwanted organisms. To expand role these beyond their present sentinel role, it is necessary develop reliable operational models local insect dispersal. Following detection incursion using a trap, such could simulate dispersal from its emergence site point detection, enabling estimate most likely proximal source incursion. An individual-based moth movement model was developed observed patterns response or absence pheromone. Using parameters derived genetic algorithm, possible fit based on three behavioural components (upwind, upwind with zigzags casting) described anemotaxis theory subset (0–135° wind), but not whole spectrum patterns. It appears that current missing downwind flight component. Whilst frequency movements small; ground speed lead significant displacement, having disproportionately strong influence model, hence projections target locations.