Aggregation patterns of Bemisia tabaci in response to insecticide applications

Abstract

AbstractWe measured the effect of insecticide applications on the distribution patterns of the sweet potato whitefly, Bemisia tabaci (Gennadius), in fields of cantaloupe, Cucumis melo L., in Yuma, Arizona. Whitefly infestations were measured by counts of adults, eggs, first to mid/fourth instars, and late‐fourth instars (‘red‐eyed’) nymphs. Adults were sampled from the entire leaf, and immature stages were counted in a 1‐cm2 area of a leaf. The indices b (Power Law), β (Patchiness regression) and Id (Morisita) indicated that all life stages were aggregated, but results for the three indices were not similar for determining the relative aggregation levels between treatments. In general, indices β and Id indicated higher aggregation in insecticide‐treated fields, whereas b had mixed results. The Morisita index was sensitive to a few unusually high means among a series of low densities in the treatment plots, what could be attributed to refuges due to failure in the insecticide applications. Despite the usefulness of the Power Law and the Patchiness regression for describing the relationship between spatial or temporal variability and mean densities, we suggest that Id is more appropriate for expression of spatial distribution because it is based on a precise definition of aggregation.