Advancing understanding and prediction in multiple stressor research through a mechanistic basis for null models

Global environmental change is driven by multiple anthropogenic stressors. Conservation and restoration require understanding the individual and joint action of these stressors to evaluate and prioritize management measures. To date, most studies on multiple stressor effects have sought to identify potential stressor interactions, defined as deviations from null models, and related meta‐analyses have focused on quantifying the relative...