Full TGIF Record # 310323
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Web URL(s):https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/117838
    Last checked: 02/05/2020
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Publication Type:
Content Type:Abstract or Summary only
Author(s):Barker, David J.
Author Affiliation:The Ohio State University, Columbus, OH
Title:Modelling the grassland ecosystem
Section:C05 turfgrass science
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Martin and Ruth Massengale lectureship
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Meeting Info.:San Antonio, Texas: November 10-13, 2019
Source:ASA, CSSA and SSSA International Annual Meetings. 2019, p. 117838.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Keywords:TIC Keywords: Ecosystems; Futures; Grasslands; Methodology; Models
Abstract/Contents:"Modelling encompasses a range of approaches, ranging from simple, conceptual models, to multi-input mechanistic models. Models vary in time scale and most commonly range in scale from days to years; dynamical models have a differential equation basis and can include time as infinitely variable. Most models integrate across broad spatial scales, however, biological processes are typically spatially explicit and our current models are generally poor at quantifying spatial processes. Modelling is now included as an increasingly important component of today's research and as we progress into the digital age, 'big data' will allow development and use of increasingly complex biological models. This paper summarizes the application on modelling to the grassland ecosystem, and identifies how modelling might be used into the future."
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Barker, D. J. 2019. Modelling the grassland ecosystem. Agron. Abr. p. 117838.
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