Partitioning NEE over Maize: Methods and Applications.

Currently there are many disciplines and measurement systems quantifying and predicting carbon sources in agricultural plots. Problems in separating biophysical and spatial sources are compounded when agricultural fields have multiple treatments. This research measured CO₂ fluxes with three eddy covariance systems. The agricultural field had four treatments, incorporated vs. non-incorporated organic amendments and organic amendments vs. conventional inorganic fertilizer. Footprint analysis was tested and verified using natural tracers which then constrained the fluxes to the treatment’s sources. This research also investigated and compared three major methods to partition measured net ecosystem exchange. The first method involved nocturnal estimation for soil respiration following the method by Reichstein et al. (2005). The second partitions the CO₂sources using a light–response curve. The third method follows the procedures of Scanlon and Sahu (2008) to partition the high frequency flux data. The comparison further evaluated different time scales and drivers to address the method’s applicability. The study stresses interoperability rather than exclusivity to create a fuller and potentially more accurate partitioning workflow. This work is important to agro-ecosystem modelers and local agricultural communities.

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See more from this Division: ASA Section: Environmental Quality
See more from this Session: Soil Carbon and Greenhouse Gas Emissions General Oral II

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