Document Type
Article
Publication Date
12-31-2025
Keywords
Greenhouse gases, gas-flux-determination methods, Soybean production
Abstract
Greenhouse gas (GHG) research and quantification have increased in importance recently due to climate change. Non-flow-through chamber systems collect large quantities of gas concentration data to determine the gas flux, but gas-flux-determination (GFD) methods can vary between regression models, how negative fluxes are considered, and what agroecosystem is evaluated, which makes selecting an analysis method complicated. The objective of this study was to evaluate the effects of GFD method [i.e. linear (L) and exponential (E) regression models, with negative fluxes (WNF) and with reassigned negative fluxes (RNF)] on GHG fluxes, emissions, and global warming potential (GWP) from soybean (Glycine max) in southeast Arkansas. Carbon dioxide fluxes did not differ among GFD methods, while CH4 and N2O fluxes differed (P < 0.05) among GFD methods in multiple sampling weeks. Methane and CO2 emissions and GWP by growth stage and whole growing season did not differ among GFD methods, but N2O emissions differed (P < 0.01) among GFD method within growth stage and were lowest (-1.3 kg ha(-1)) during maturation from the LWNF and greatest (0.057 kg ha (-1)) during flowering and pod development from the LRNF method. Results demonstrated the significant impact GFD method has on GHG emissions and GWP estimates.
Citation
Brye, J. B., Lunga, D. D., & Brye, K. R. (2025). Gas-flux-determination-method effects on greenhouse gas emissions andglobal warming potential from soybean in southeast Arkans. All Earth, 37 (1) https://doi.org/10.1080/27669645.2025.2569153
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Comments
Web of Science
Taylor & Francis Group