Thursday, August 7, 2008: 8:20 AM
103 C, Midwest Airlines Center
Zachary T. Aanderud, Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT, Donald R. Schoolmaster Jr., Wetland and Aquatic Research Center, U.S. Geological Survey, Lafayette, LA and Jay T. Lennon, Department of Biology, Indiana University, Bloomington, IN
Background/Question/Methods Terrestrial ecosystems are exposed to variation in precipitation due to natural processes and climate change. Precipitation variability can influence belowground ecosystem processes (e.g., CO
2 evolution) via its interactive effects on plant and soil communities. However, multiple factors (i.e., soil texture, temperature, and microbial community composition) mediate the impact of precipitation variability on CO
2 evolution. One complicating factor is the presence of plants. Plants alter the impact of precipitation on soil moisture through interception and transpiration, and contribute to soil CO
2 via root respiration independent of microbial responses. As we strive to understand how precipitation influences feedbacks between soil CO
2 evolution and atmospheric CO
2 concentrations, it is essential that we understand how changes in precipitation influence soil CO
2 evolution and how plants mediate this interaction. Therefore, we measured the responsiveness of soil CO
2 evolution in plant vs. no plant field manipulations exposed to low vs. high variability precipitation regimes in a grassland at the Kellogg Biological Station’s Long-Term Ecological Research site. Soil CO
2 concentrations, moisture, and temperature were measured every minute over two months with
in situ real-time sensors.
We found the best-fit model for CO2 evolution dynamics using time-series regression modeling and maximum likelihood analysis. Results/Conclusions Our model included individual parameters for soil moisture for each precipitation regime in the plant and no plant treatments, but only one temperature parameter for each precipitation regime. The low variability precipitation regime induced the most dramatic responses of CO2 to fluctuations in soil moisture, regardless of the presence of plants. This precipitation regime produced at least 2.5-times more CO2 per unit change in soil moisture than the high variability regime. Under both precipitation regimes, the presence of plants decreased the sensitivity of CO2 to changes in soil moisture. This dampening effect was most pronounced under high precipitation variability, as the presence of plants caused a 4-fold decrease in CO2 evolved per unit change in soil moisture. Our results suggest that CO2 evolution is more sensitive to small fluctuations in soil moisture under stable soil moisture regimes and that the presence of plants decreases this sensitivity.