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| Full TGIF Record # 323022 Item 1 of 1 |
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| DOI: | 10.4148/2378-5977.8321 |
| Web URL(s): | https://newprairiepress.org/cgi/viewcontent.cgi?article=8321&context=kaesrr Last checked: 11/08/2022 Requires: PDF Reader |
| Publication Type: | Report |
| Author(s): | Hong, Mu; Zhang, Yao; Braun, Ross; 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: Horticulture and Landscape Architecture, College of Agriculture, Purdue University, West Lafayette, IN |
| Title: | Simulation of nitrous oxide emissions in zoysia turfgrass using DAYCENT and DNDC ecosystem models |
| Source: | 2022 Turfgrass Research: Research Reports [Kansas State University]. Vol. 8, No. 5, 2022, p. [1-7]. |
| Publishing Information: | Manhattan, Kansas: Kansas State University Agricultural Experiment Station and Cooperative Extension Service |
| # of Pages: | 7 |
| Related Web URL: | https://newprairiepress.org/kaesrr/vol8/iss5/2/ Last checked: 11/15/2022 Requires: HTML5 Notes: Guide page with abstract only |
| Keywords: | TIC Keywords: Carbon sequestration; Computer simulation models; Global warming; Irrigation practices; Nitrogen fertilization; Nitrous oxide; Zoysia japonica Author-Supplied Keywords: Warm-season turfgrass; Greenhouse gas emissions; Process-based model; Nitrogen; Irrigation; Global warming potential |
| Abstract/Contents: | "Nitrous oxide (N2O) is an important greenhouse gas (GHG) implicated in global climate change. Process-based ecosystem models, such as DAYCENT and DNDC, have been widely used to predict GHG fluxes in agricultural systems. However, neither model has yet been applied to warm-season turfgrasses such as zoysiagrass. This study parameterized, calibrated, and validated the DAYCENT and DNDC models for N2O emissions from Meyer zoysiagrass (Zoysia japonica Steud.) using Bayes' theorem and field data from Braun and Bremer (2018a, 2019) and Lewis and Bremer (2013). Results indicated DAYCENT, but not DNDC, reasonably simulated the impacts of irrigation and N-fertilization practices on biweekly and annual N2O emissions in zoysia turfgrass. When assuming no further climate change, the validated DAYCENT model predicted that typical recommendations for N-fertilization and irrigation in zoysiagrass (a low-input turfgrass) would reduce its cumulative global warming potential (GWP) for the first 45 years after establishment by encouraging soil carbon sequestration. Thereafter, soils would become saturated with carbon and hence, reductions of N inputs would be beneficial for mitigating further increases in N2O emissions and GWP." |
| Language: | English |
| References: | 10 |
| See Also: | Related article appears in Mike Davis Program for Advancing Golf Course Management: 2021 Progress Reports, 2021, p. 342-351, R=317406.R=317406 |
| Note: | Tables |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Hong, M., Y. Zhang, R. Braun, and D. J. Bremer. 2022. Simulation of nitrous oxide emissions in zoysia turfgrass using DAYCENT and DNDC ecosystem models. K-State Turfgrass Res. 8(5):p. [1-7]. |
| Fastlink to access this record outside TGIF: | http://tic.lib.msu.edu/tgif/flink/RECNO/323022 |
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| DOI: 10.4148/2378-5977.8321 | |
| Web URL(s) : | https://newprairiepress.org/cgi/viewcontent.cgi?article=8321&context=kaesrr Last checked: 11/08/2022 Requires: PDF Reader |
| MSU catalog number: | b4866211 |
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