Anthropogenic climate change (ACC) will have considerable effects on plants, though the extent to which these effects are positive or negative has been controversial. For this poster, a fully factorial experiment combining water and temperature over broad ranges (10-90% soil water content under 16°C-40°C) was carried out to address three shortcomings that might help explain the contrasting effects of climate change on plants: testing only one climate variable (e.g., only water or only temperature), failure to account for nonlinear responses to climatic variables, and studying a limited number of response variables. The experiment utilized wheat as the model species and found that most dependent variables related to grain production showed the highest performance under 23-33°C and low water (