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United States Department of Agriculture

Agricultural Research Service

Title: Ecosystem response to rainfall variability and warming in a mesic grassland

Authors
item Fay, Philip
item Kaufman, D - KANSAS STATE UNIVERSITY
item Blair, J - KANSAS STATE UNIVERSITY
item Collins, S - UNIVERSITY OF NEW MEXICO
item Knapp, A - COLORADO STATE UNIVERSITY
item Smith, M - YALE UNIVERSITY
item Nippert, J - UNIVERSITY OF KANSAS
item Carlisle, J - KANSAS STATE UNIVERSITY

Submitted to: European Geophysical Society Meeting
Publication Type: Abstract Only
Publication Acceptance Date: March 23, 2006
Publication Date: June 26, 2006
Citation: Fay, P.A., Kaufman, D.M., Blair, J.M., Collins, S.L., Knapp, A.K., Smith, M.D., Nippert, J.B., Carlisle, J.D. 2006. Ecosystem response to rainfall variability and warming in a mesic grassland. European Geosciences Union General Assembly, April 2-7-2006, Vienna, Austria. A-05205. CDROM.

Technical Abstract: Grassland ecosystems are strongly responsive to climatic variability, and many fundamental aspects of their structure and function are tied to spatial and temporal variation in precipitation. The pulsed nature of precipitation inputs- short periods of rainfall separated by longer periods during which soil moisture is depleted- means that the temporal pattern of rainfall inputs in terms of frequency and event size is a major determinant of temporal variability in soil water content. Relationships among precipitation variation and ecosystem function are critically important because of the documented increases in the frequency of extreme rainfall events worldwide, and the likely interactions of precipitation variability with rising atmospheric [CO2] and warming. To better understand these interactions we have implemented two rainfall variability experiments in tallgrass prairie in eastern Kansas, USA (39.1 N, 96.9 W). The Rainfall Manipulation Plot experiment (RaMPs), initiated in 1998, consists of twelve native grassland study plots covered by rainfall exclusion shelters, that receive 1) an altered rainfall regime with longer dry intervals and larger rainfall events and 2) increased temperatures via infrared lamps, combined in a fully factorial design with rainfall and temperature controls. The Rainfall Mesocosm facility, initiated in 2004, consists of 64 3.6 m3 outdoor containers filled with native soil and planted with a mixture of native tallgrass C4 grasses, legumes, and non-legume forbs. There are 16 watering treatments (n = 4 microcosms trt-1): four annual quantities (400, 600, 800, and 1000 mm yr-1) factorially combined with four watering intervals (3, 6, 10, and 15 d), with individual watering event sizes from 4 to 53 mm. In both studies, experimental rainfall regimes with increased temporal variability (larger events separated by longer dry intervals) caused predictable increases in the temporal variability in soil moisture, and impacted several key ecosystem properties related to carbon cycling and biotic diversity. In the RaMPs, temporal variation in soil moisture due to increased rainfall variability was negatively correlated with aboveground net primary productivity (ANPP; R2 = 0.41). Warming caused slight reductions in soil moisture and ANPP compared to unwarmed controls. Mesocosm studies of leaf photosynthesis and water status responses to rainfall quantity and interval combinations in the dominant grass Andropogon gerardii revealed strongly non-linear photosynthetic responses to increasing rain event size. This non-linear response reflects the varying effectiveness of different rain event sizes in terms of the resulting soil moisture availability, and indicate that temporal variation in rainfall inputs is an important cause of the weak connection between leaf level carbon gain and ANPP. Impacts of rainfall and temperature treatments on plant species diversity were weaker than those for ANPP. Variability was positively correlated with plant species diversity (H'; R2 = 0.25), although warming had no significant effect on H'. However in greenhouse experiments, early growth stages in most species were strongly responsive to varying rainfall intervals, suggesting that patterns of rainfall variability can strongly affect recruitment into these communities. In summary, rainfall variation can influence critical components of ecosystem carbon cycling and plant species diversity in this grassland, and will be useful in modeling future ecosystem characteristics under a range of future rainfall scenarios.

Last Modified: 11/1/2014
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