B33A-0638
Evapotranspiration of a pine-switchgrass intercropping bioenergy system measured by combined surface renewal and energy balance method

Wednesday, 16 December 2015
Poster Hall (Moscone South)
Milan Fischer1, Asko Noormets2, Jean-Christophe Domec3, Rafael Rosa4, James Williamson2, Jameson Boone1, Eric Sucre5, Miroslav Trnka6 and John King7, (1)North Carolina State University, Department of Forestry and Environmental Resources, Raleigh, NC, United States, (2)North Carolina State University Raleigh, Raleigh, NC, United States, (3)USDA Forest Srvc-EFETAC, Raleigh, NC, United States, (4)Agricultural Research Organization, Institute of Soil, Water and Environmental Sciences, Bet Dagan, Israel, (5)Weyerhaeuser Company, Vanceboro,, NC, United States, (6)Global Change Research Centre AS CR, v. v. i., Brno, Czech Republic, (7)North Carolina State University at Raleigh, Department of Forestry and Environmental Resources, Raleigh, NC, United States
Abstract:
Intercropping bioenergy grasses within traditional pine silvicultural systems provides an opportunity for economic diversification and regional bioenergy production in a way that complements existing land use systems. Bioenergy intercropping in pine plantations does not compete with food production for land and it is thought will increase ecosystem resource-use efficiencies. As the frequency and intensity of drought is expected to increase with the changing climate, maximizing water use-efficiency of intercropped bioenergy systems will become increasingly important for long-term economic and environmental sustainability.

The presented study is focused on evapotranspiration (ET) of an experimental pine-switchgrass intercropping system in the Lower Coastal Plain of North Carolina. We measured ET of two pure switchgrass fields, two pure pine stands and two pine-switchgrass intercropping systems using combined surface renewal (SR) and energy balance (EB) method throughout 2015. SR is based on high-frequency measurement of air temperature at or above canopy. As previously demonstrated, temperature time series are associated with identifiable, repeated patterns called “turbulent coherent structures”. These coherent structures are considered to be responsible for most of the turbulent transport. Statistical analysis of the coherent structures in temperature time series allows quantification of sensible heat flux density (H) from the investigated area. Information about H can be combined with measurement of net radiation and soil heat flux density to indirectly obtain ET estimates as a residual of the energy balance equation.

Despite the recent progress in the SR method, there is no standard methodology and each method available includes assumptions which require more research. To validate our SR estimates of ET, we used an eddy covariance (EC) system placed temporarily next to the each SR station as a comparative measurement of H.

The conference contribution will include: i) evaluation of SR method compared to EC; ii) comparison of different SR calculation procedures including application of various thermocouples sizes and measurement heights; iii) quantification of ET of the three investigated ecosystems; iv) analysis of ET diurnal and seasonal variation with respect to weather conditions.