Variability in carbon dioxide fluxes among six winter wheat paddocks managed under different tillage and grazing practices

Publication date: July 2018
Source:Atmospheric Environment, Volume 185
Author(s): Pradeep Wagle, Prasanna H. Gowda, Brian K. Northup, Kenneth E. Turner, James P.S. Neel, Priyanka Manjunatha, Yuting Zhou
Carbon dioxide (CO2) fluxes from six winter wheat (Triticum aestivum L.) paddocks (grain only, graze-grain, and graze-out) managed under conventional till (CT) and no-till (NT) systems were synthesized for the 2016–2017 growing season to compare the magnitudes and seasonal dynamics of CO2 fluxes and to investigate among-site variability of CO2 fluxes. Large variations in CO2 fluxes were observed among paddocks. Maximum daily (7-day averages) net ecosystem CO2 exchange (NEE) ranged from −3.39 to −8.68 g C m⁻², gross primary production (GPP) ranged from 7.33 to 16.92 g C m⁻², and ecosystem respiration (ER) ranged from 5.85 to 9.98 g C m⁻². Seasonal sums of NEE ranged from −137 to −542 g C m⁻². Optimum photosynthetically active radiation (PAR), air temperature (Ta), and vapor pressure deficit (VPD) for NEE were approximately 1700 μmol m⁻² s⁻¹, 22 °C, and 1.25 kPa, respectively. Across-site analysis showed percent of canopy cover (Canopy%) was strongly correlated with NEE (R² = 0.76) and ecosystem light use efficiency (ELUE, R² = 0.76). Integration of PAR with leaf area index (LAI) and integration of Ta with dry biomass weight (DW) explained 81% and 74% of variations in GPP and ER, respectively. Remotely-sensed enhanced vegetation index (EVI) explained 66% and normalized difference vegetation index (NDVI) explained 69% of the variations in NEE. Integration of PAR with NDVI or EVI explained ∼80% of variations in GPP, while NDVI × Ta explained 58% of variations in ER. Results illustrated that differences in wheat canopies related to paddock management, as indicated by differences in DW, LAI, Canopy%, NDVI, and EVI, must be accounted for explaining among-site variability of CO2 fluxes. Long-term measurements from our clustered and paired eddy covariance towers will provide insights into the effects of tillage and different grazing practices on CO2 dynamics in winter wheat.



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