B21J-08
Warming rate drives microbial limitation and enzyme expression during peat decomposition

Tuesday, 15 December 2015: 09:45
2008 (Moscone West)
Patrick Inglett1, Debjani Sihi1,2 and Kanika Sharma Inglett3, (1)University of Florida, Department of Soil and Water Science, Ft Walton Beach, FL, United States, (2)University of Maryland Center (UMCES) for Environmental Science, Frostburg, MD, United States, (3)University of Florida, Department of Soil and Water Science, Gainesville, FL, United States
Abstract:
Recent developments of enzyme-based decomposition models highlight the importance of enzyme kinetics with warming, but most modeling exercises are based on studies with a step-wise warming. This approach may mask the effect of temperature in controlling in-situ activities as in most ecosystems soil temperature change more gradually than air temperature. We conducted an experiment to test the effects of contrasting warming rates on the kinetics of C, N, and P degradation enzymes in subtropical peat soils. We also wanted to evaluate if the stoichiometry of enzyme kinetics shifts under contrasting warming rates and if so, how does it relate to the stoichiometry in microbial biomass. Contrasting warming rates altered microbial biomass stoichiometry leading to differing patterns of enzyme expression and microbial nutrient limitation. Activity (higher Vmax) and efficiency (lower Km) of C acquisition enzymes were greater in the step treatment; however, expressions of nutrient (N and P) acquiring enzymes were enhanced in the ramp treatment at the end of the experiment. In the step treatment, there was a typical pattern of an initial peak in the Vmax and drop in the Km for all enzyme groups followed by later adjustments. On the other hand, a consistent increase in Vmax and decline in Km of all enzyme groups were observed in the slow warming treatment. These changes were sufficient to alter microbial identity (as indicated by enzyme Km and biomass stoichiometry) with two apparently stable endpoints under contrasting warming rates. This observation resembles the concept of alternate stable states and highlights a need for improved representation of warming in models.