Regional switchgrass carbon sequestration estimates from high‐frequency eddy covariance and Mesonet observations

Monitoring net ecosystem carbon dioxide (CO2) exchange (NEE) using eddy covariance (EC) flux towers is quite common, but the measurements are valid at scale of tower footprints. Alternative ways to quantify and extrapolate EC-measured NEE across potential production areas have not been explored in detail. To address this need, we used from a switchgrass (Panicum virgatum L.) detailed meteorological Oklahoma Mesonet developed empirical relationships for quantifying seasonal (April October) sums establishment landscapes Oklahoma, USA. We identified ensemble expansion regions created thematic maps productivity geostatistics geographic information systems (GIS) routines. The purpose study was explore if model parametrizations based on high temporal frequency forcing can be reliable estimates evaluating source–sink status carbon. Rectangular hyperbolic light-response curve temperature response functions were fitted EC estimate gross primary (GPP) respiration (ER), respectively, scale. Model performance validated by comparing 3 yr showed good-to-strong agreement (.29 < R2 .91; p .05). Additionally, total with measured biomass data three additional locations. estimated average (NEP = −NEE) 3.97 ± 1.92 (SD) Mg C ha−1. However, results simple linear suggested significant differences NEP between contrasting climatic years. Overall, indicate that new scaling-up approach involving resolution may helpful tool assessing spatiotemporal heterogeneity fields sequester Southern Great Plains United States.