PS 49-1 - Carbon, water and heat fluxes from business-as-usual cropping practices in central North Dakota

Thursday, August 15, 2019
Exhibit Hall, Kentucky International Convention Center
Nick Saliendra, U.S. Department of Agriculture, ARS Northern Great Plains Research Laboratory, Mandan, ND
Background/Question/Methods

Baseline measurements of field sites are necessary before imposing contrasting treatments in long-term studies. In preparation for the Long-Term Agroecosystem Research Network – Croplands Common Experiment, we imposed business-as-usual (BAU) cropping practices on two 20 ha fields near Mandan, North Dakota, USA. We sought to quantify potential differences between fields for a suite of agronomic and environmental attributes. For three years (2016–2018), both fields were planted to a spring wheat (Triticum aestivum L.) – corn (Zea mays L.) – soybean (Glycine max L.) rotation under no-till management. We used eddy covariance techniques for continuous monitoring of field-level carbon, water, and heat fluxes in conjunction with periodic in-field measurements (n=10 per field) of aboveground biomass (AGB), leaf area index (LAI), and canopy height (CHt).

Results/Conclusions

Daily net ecosystem exchange (NEE) for carbon, evapotranspiration (ET) and sensible heat flux (H) were similar between fields. Likewise, patterns of in-field attributes during the growing season for each crop were similar for both fields. Annual sums of NEE (mean ± se, g C m-2 yr-1) across crops were near equilibrium with the atmosphere and comparable between fields (11 ± 42 versus −28 ± 68) despite differences between fields in annual NEE for corn (2017). Additionally, both annual ET (mean ± se, mm yr-1) and daily H (mean ± se, W m-2) across crops did not differ between fields, with values of 400 ± 16 versus 435 ± 29 mm yr-1 and 19.8 ± 1.9 versus 19.9 ± 2.4 W m-2, respectively. However, AGB, maximum LAI, and CHt were different between fields at the end of growing season in soybean (2018). Stratification of the flux footprint into 12 wind sectors and 6 radii indicated that variations of Landsat-NDVI between fields were correlated through an upwind distance of 120 to 150 m from the eddy covariance sensors (R2: 0.50, 0.83, 0.61 for wheat, corn, soybean, respectively). We will map the variations of in-field attributes using Landsat-NDVI.