| Sumario: | Crop pests and diseases (P&D) can cause substantial yield losses and pose a threat to global food security. Losses at a regional level can even exceed 40 percent for crops like maize and rice.
Most studies show that a warmer climate creates a conducive, albeit spatially variable, environment for P&D spread. However, existing foresight research is largely biophysical in nature and focuses on individual pathosystems, examined mostly at the national level. As such, projections of the magnitude of economic impacts of changing patterns of P&D are missing.
Global assessment of model-based historical and future P&D impacts on food systems remains constrained by the small number of available models that can estimate yield losses under contrasting climate and agroecological conditions.
Efforts are needed to improve data accessibility, model versatility, and simulation platforms and to establish international observation and modeling networks. Artificial intelligence (AI) and related methods can assist in the development of robust and adaptable models to capture the impacts of P&D on food systems.
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