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| Web URL(s): | https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/150161
Last checked: 12/04/2023 |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Pavlou, Dimitrios |
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| Author Affiliation: | Presenting Author and University of Wisconsin-Madison, Madison, WI |
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| Title: | Adapting an agroecosystem model to account for turfgrass |
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| Section: | Turfgrass science oral I (includes student competition)
Other records with the "Turfgrass science oral I (includes student competition)" Section
C05 turfgrass science
Other records with the "C05 turfgrass science" Section
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| Meeting Info.: | St. Louis, Missouri: October 29-November 1, 2023 |
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| Source: | ASA, CSSA, SSSA International Annual Meeting. 2023, p. 150161. |
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| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
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| # of Pages: | 1 |
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| Abstract/Contents: | "Turfgrasses cover an enormous area in the continental USA which is three times larger than the area of irrigated maize. Turfgrass landscapes provide numerous ecosystem services to urban and suburban communities by protecting and enhancing our environment through climate regulation, nutrient and pollution filtration, and dust reduction. Despite these services, there has been increasing concern due to the negative aspects of high inputs, including the use of water, fertilizers, and pesticides. To better understand potential benefits or drawbacks simulations models can be utilized. Models can simulate the complex processes of land, water, nutrient and atmosphere dynamics and predict the environmental consequences of turfgrass management. In this project, we used a process-based, spatially explicit land surface model, Agro-IBIS (Integrated Biosphere Simulator), to evaluate it for turfgrass. We utilized Eddy-covariance data collected from two towers located in a commercial sod farm in south-central Georgia, USA during a three-year period (2013-2015). The model was tested against NPP, GPP, heat fluxes, respiration etc. to identify its accuracy in a turf system." |
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| Language: | English |
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| References: | 0 |
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| Note: | "225-12"
This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Pavlou, D. 2023. Adapting an agroecosystem model to account for turfgrass. Agron. Abr. p. 150161. |
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| Web URL(s):
https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/150161
Last checked: 12/04/2023 |
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