To integrate the tools, outputs and knowledge generated in WP2-5 into data-driven evolutionary frameworks for effective and sustainable IPM. We will predict and devise the optimal use and combination of existing and novel, setting-specific control tools, with a specific emphasis on resistance evolution and its prevention, to enable a wide range of end-users and local policy makers to advise on optimal, site-specific control measures and pest intervention strategies.

The objectives are:

  1. To develop a multitrophic model of IPM to account for synergistic or antagonistic effects of plant resistance traits;
  2. To incorporate multiple plant and pest phenotypes to investigate the evolutionary dynamics of resistance-associated loci;
  3. To devise optimal site- and species-specific pest management schemes;
  4. To iteratively validate model predictions against experimental data in at least one model system.