Understanding how behavioural dynamics, inter-individual variability and individual interactions scale-up to shape the spatial spread and dispersal of animal populations is a major challenge in ecology. For biocontrol agents, such as the microscopic Trichogramma parasitic wasps, an understanding of movement strategies is also critical to predict pest-suppression performance in the field.We experimentally studied the spatial propagation of groups of parasitoids and their patterns of parasitism. We investigated whether population spread is density-dependent, how it is affected by the presence of hosts, and whether the spatial distribution of parasitism (dispersal kernel) can be predicted from the observed spread of individuals.Using a novel experimental device and high-throughput imaging techniques, we continuously tracked the spatial spread of groups of parasitoids over large temporal and spatial scales (eight hours; and six metres, ca. 12,000 body lengths). We could thus study how population density, the presence of hosts and their spatial distribution impacted the rate of population spread, the spatial distribution of individuals during population expansion, the overall rate of parasitism and the dispersal kernel (position of parasitism events).Higher population density accelerated population spread, but only transiently: the rate of spread reverted to low values after four hours, in a “tortoise-hare” effect. Interestingly, the presence of hosts suppressed this transiency and permitted a sustained high rate of population spread. Importantly, we found that population spread did not obey classical diffusion, but involved dynamical switches between resident and explorer movement modes. Population distribution was therefore not Gaussian, though surprisingly the distribution of parasitism (dispersal kernel) was.Even homogenous asexual groups of animals were shown to develop behavioral heterogeneties over a few hours. Explorer individuals were responsible for most parasitism and dispersal, and determined spatial spread and density-dependent dispersal. We showed that simple Gaussian dispersal did not emerge from simple diffusion, but rather from the interplay of several non-linearities at individual level. This suggests expectations from classical diffusion theory may not hold generally to active dispersers. These results highlight the need to take into account behaviour and inter-individual heterogeneity to understand population spread in animals.