Tackling pesticide resistance: early detection, management strategies, and foresight

Expected Outcome:Project results are expected to contribute to all of the following expected outcomes:a holistic and science-based approach to tackling pesticide resistance is developed, providing actionable recommendations to improve crop protection strategies and support evidence-based decision-making at all levels;farmers, advisors, and practitioners are empowered with knowledge, tools, and integrated strategies—including innovative environmentally friendly and sustainable alternatives that promote agrobiodiversity—supported by data-driven approaches and robust monitoring systems;foresight capacities are enhanced, enabling the anticipation of resistance trends and supporting long-term planning to strengthen the resilience and sustainability of agricultural systems. Scope:Agriculture and forestry face a growing challenge from the dual threat of a shrinking portfolio of active substances and increasing pests[1] resistance to treatments. Climate change compounds this issue by enabling pests to survive milder winters, expand their ranges, and increase their exposure to pesticides—accelerating the development of resistance. Addressing this complex issue requires a comprehensive, science-based systemic approach that integrates early detection, adaptive management, and long-term foresight to reduce resistance risks and strengthen the sustainability and resilience of agriculture and forestry. It is also relevant to acknowledge that while pesticides are important short-term solutions, the long-term solutions require shifts in current agriculture or forestry practices and system-level transformations within agri-food systems that would boost the resilience of these production environments, while preserving biodiversity.Proposals should:map resistance risks by assessing the current and projected emergence of pest resistance, considering the declining number of available active substances[2] and the authorised products for different crops;develop early detection methods and