North-Central Section - 47th Annual Meeting (2-3 May 2013)

Paper No. 4
Presentation Time: 1:30 PM-5:30 PM

PREDICTING THE IMPACTS OF CLIMATE CHANGE ON AGRICULTURAL YIELDS AND WATER RESOURCES IN THE MAUMEE RIVER WATERSHED


NAGELKIRK, Ryan L.1, KENDALL, Anthony D.2, BASSO, Bruno2 and HYNDMAN, Dave3, (1)Geological Sciences, Michigan State University, 288 Farm Lane, East Lansing, MI 48824, (2)Department of Geological Sciences, Michigan State University, 206 Natural Sciences Bldg, Michigan State University, East Lansing, MI 48824, (3)Geological Sciences, Michigan State University, 206 Natural Science, East Lansing, MI 48824, nagelki4@msu.edu

Climate change will likely have considerable effects on agriculture in the Midwestern United States. Under current climate projections, end-of-century temperatures rise by approximately 4°C, while precipitation stays relatively unchanged despite a potential increase in heavy rainfall events. These trends have already been observed over the last century: rising temperatures have extended the growing season two days per decade and heavy rainfall events have become twice as common. In an effort to understand the likely effects of climate change on agriculture, maize and soybean yields in the Maumee River Watershed were simulated using the Systems Approach to Land Use Sustainability (SALUS) crop model. SALUS calculates daily crop growth in response to changing climate, soil, and management conditions. We test the hypotheses that 1) despite any positive effects of CO2 fertilization and allowing for higher yielding varieties, longer and warmer growing seasons will lead to excessive water- and heat-stress, lowering yields under current management practices, and 2) that double-cropping maize and soybeans successively in the same season to offset these losses may become feasible if sufficient late-season soil moisture is made available. Outputs of daily Leaf Area Index (LAI) and root mass from a range of SALUS models are then distributed spatially to drive regional hydrologic simulations using the Integrated Landscape Hydrology Model (ILHM). These coupled simulations demonstrate the response of streamflow and groundwater levels to different management strategies.