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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 |
Publication Type:
| 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
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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 Graphs |
| 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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