Incorporating classified dispersal assumptions in predictive distribution models - A case study with grasshoppers and bush-crickets

► We demonstrate errors in predicted future species distributions when unrealistic assumptions of species' dispersal capacities are used. ► Full dispersal and no-dispersal are unrealistic assumptions. ► Dispersal classes based on the literature are valuable to improve predictions of species distributions. ► Climate and other environmental variables determined regional spatial distribution of grasshopper and bush-cricket species.