A programme of research into phase change in the desert locust, Schistocerca gregaria, is described. The ability
to change phase between solitarious and gregarious forms in response to population density is a key feature
of locusts and is central to their occasional yet catastrophic impact on humans. Phase polymorphism is an
extreme form of phenotypic plasticity. The most labile phase characteristic is behaviour. It is argued that
a fully integrated study of behavioural phase change provides a powerful tool for understanding both the
mechanisms of phase change and locust population dynamics, both of which offer possibilities for improved
management and control of desert locust plagues. An assay for measuring behavioural phase-state in
individual locusts was derived, based on logistic regression analysis. Experiments are described that used the
assay to quantify the time-course of behavioural change, both within the life of individual locusts and across
generations. The locust-related stimuli that provoke behavioural gregarization were investigated. Complex
interactions were found between tactile, visual and olfactory stimuli, with the former exerting the strongest
effect. Behavioural analysis also directed a study of the mechanisms whereby adult females exert an
epigenetic influence over the phase-state of their developing offspring. Female locusts use their experience
of the extent and recency of being crowded to predict the probability that their offspring will emerge into
a high-density population, and alter the development of their embryos accordingly through a gregarizing
agent added to the foam that surrounds the eggs at laying. There is also a less pronounced paternal influence
on hatchling phase-state. An understanding of the time-course of behavioural phase change led to a study
of the effect of the fine-scale distribution of resources in the environment on interactions between individual
locusts, and hence on phase change. This, in turn, stimulated an exploration of the implications of individual
behavioural phase change for population dynamics. Cellular automata models were derived that explore the
relationships between population density, density of food resources and the distribution of resources in the
environment. The results of the simulation showed how the extent of gregarization within a population
increases with rising population size relative to food abundance and increasing concentration of food
resources. Of particular interest was the emergence of critical zones across particular combinations of
resource abundance, resource distribution and population size, where a solitarious population would rapidly
gregarize. The model provided the basis for further laboratory and field experiments, which are described.