Full TGIF Record # 330263
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DOI:10.1016/j.eja.2022.126668
Web URL(s):https://www.sciencedirect.com/science/article/pii/S1161030122002167
    Last checked: 07/12/2023
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https://www.sciencedirect.com/science/article/pii/S1161030122002167/pdfft
    Last checked: 07/12/2023
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Publication Type:
i
Refereed
Author(s):Hong, Mu; Zhang, Yao; Braun, Ross C.; Bremer, Dale J.
Author Affiliation:Hong: Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO; Zhang: Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO; Braun and Bremer: Horticulture and Natural Resources, Kansas State University, Manhattan, KS
Title:Simulations of nitrous oxide emissions and global warming potential in a C4 turfgrass system using process-based models
Source:European Journal of Agronomy. Vol. 142, January 2023, p. 126668 [1-14].
Publishing Information:Amsterdam, the Netherlands: Elsevier Science Pub. Co.
# of Pages:14
Keywords:Author-Supplied Keywords: Bayesian calibration; Controlled-release nitrogen ferilizer; DAYCENT; DNDC; Global warming potential; Sensitivity analysis; Turfgrass best management practice
Abstract/Contents:"Nitrous oxide (N2O) is an ozone-depleting gas and important greenhouse gas (GHG) that has been implicated in global climate change. Irrigated and N-fertilized turfgrass systems cover large areas of land and emit N2O. DAYCENT and Denitrification-Decomposition (DNDC) are two widely used process-based models that predict GHG fluxes in agricultural lands. Despite many experiments applying these models to other cropping systems, they have not been applied to warm-season (C4) turfgrass systems. Our objectives were to 1) calibrate DAYCENT and DNDC for N2O emissions from 'Meyer' zoysiagrass (Zoysia japonica Steud., referred to as zoysia); 2) validate both models and compare their prediction accuracies; and 3) predict long-term impacts of different N fertilization and irrigation management. A combination of global sensitivity analysis and a Bayesian method was used to calibrate DAYCENT and DNDC, followed by validation, using measurements from zoysia field studies. Validation results indicated DAYCENT (R2 = 0.30-0.90; relative RMSE = 30-163%) outperformed DNDC (R2 = 0.01-0.38; relative RMSE = 119-183%) in biweekly N2O fluxes. Annual N2O emissions from DAYCENT were validated within - 54 to + 14% of estimates interpolated from measurements of different N fertilization and irrigation management, whereas DNDC simulations generally underestimated emissions by - 24 to - 85%. DAYCENT, but not DNDC, adequately simulated the impacts of irrigation and N-fertilization practices on N2O emissions in zoysia, a C4 turfgrass. DAYCENT predicted that typical N-fertilization and irrigation practices in fairway zoysia turf would reduce net global warming potential (GWP) better than no N fertilization by encouraging soil carbon sequestration in the first 30-45 years of establishment. Instead of fixed-amount or no N inputs, gradually reducing N fertilization to maintain turfgrass growth over decades would mitigate the increases of net GWP and better alleviate climate challenges in this century."
Language:English
References:93
See Also:Related item appears in 2022 Turfgrass Research: Research Reports [Kansas State University] 8(5), 2022 p. [1-7], R=323022. R=323220

Related item appears in Mike Davis Program for Advancing Golf Course Management: 2021 Progress Reports, 2021, p. 342-351, R=317406. R=317406
Note:Tables
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ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hong, M., Y. Zhang, R. C. Braun, and D. J. Bremer. 2023. Simulations of nitrous oxide emissions and global warming potential in a C4 turfgrass system using process-based models. European Journal of Agronomy. 142:p. 126668 [1-14].
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DOI: 10.1016/j.eja.2022.126668
Web URL(s):
https://www.sciencedirect.com/science/article/pii/S1161030122002167
    Last checked: 07/12/2023
    Access conditions: Item is within a limited-access website
https://www.sciencedirect.com/science/article/pii/S1161030122002167/pdfft
    Last checked: 07/12/2023
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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