Agricultural pest management program efficiency challenged by information diffusion barriers among farmers

Food security of millions of people in the developing world has faced a growing number of challenges in recent years, including risks associated with emergent agricultural pests. While pest management programs have a larger place than ever on the international policy agenda, the debate concerning their efficiency at large scales has remained unresolved. Pest management practices that rely on farmer cooperation to share pest control information have been favoured, but the efficiency of such methodologies has been questioned due to incomplete knowledge of variation in farmers' practices, and their complex interactions with pest dynamics. A modeling framework, integrating both social and ecological perspectives, was therefore needed to better predict the efficiency of pest management programs.

The modeling framework developed by the authors was composed of an agent-based model combining social (information diffusion theory) and biological (pest population dynamics) models to study the roles played by cooperation and sharing of pest management information among small-scale farmers in controlling an invasive pest. The model was implemented with field data from large-scale surveys of approximately 300 farmer households in the Ecuadorian Andes, and was undertaken within a regional pest management program funded by the French Institute for Research and Development (IRD) and the McKnight Foundation.

Though the slow learning process places restrictions on the knowledge that can be generated using cooperative pest management practices, the authors conclude that if individuals learn from others about the benefits of early prevention of pests, then a temporary educational effort may have a sustainable long-run impact on pest control.

This work was conducted within the project ''Innovative Approaches for Integrated Pest Management in changing Andes'' (C09-031) funded by the McKnight Foundation.