Skip to main content

Search form

Home
Turfgrass Information File (TGIF)

A cooperative project of the United States Golf Association and the Michigan State University Libraries' Turfgrass Information Center

United States Golf Association
Turfgrass Information Center
  • About TGIF
  • Search TGIF
    • Basic Search
    • Guided Search
    • Power Search
    • Rapid Results
    • Full Text Resources
    • Fastlink Generator
    • Thesaurus Search
  • Search Help
    • Getting Started Guide
    • Basic Search Help
    • Guided Search Help
    • Power Search Help
    • Rapid Results Help
    • Fastlinks Help
    • Record Display Help
  • Turfgrass Information Center (TIC)
  • The TIC Endowment
  • Feedback

Fastlink of full TGIF record #310323

The fastlink for this record is: https://tic.msu.edu/tgif/flink?recno=310323
Full TGIF Record # 310323
Item 1 of 1
Web URL(s):https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/117838
    Last checked: 02/05/2020
    Requires: JavaScript
Publication Type:
i
Report
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
Other records with the "C05 turfgrass science" Section

Martin and Ruth Massengale lectureship
Other records with the "Martin and Ruth Massengale lectureship" Section
Meeting Info.:San Antonio, Texas: November 10-13, 2019
Source:ASA, CSSA and SSSA International Annual Meetings. 2019, p. 117838.
# of Pages:1
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
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."
Language:English
References:0
Note:This item is an abstract only!
"465-1"
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Barker, D. J. 2019. Modelling the grassland ecosystem. Agron. Abr. p. 117838.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=310323
If there are problems with this record, send us feedback about record 310323.
Choices for finding the above item:
Web URL(s):
https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/117838
    Last checked: 02/05/2020
    Requires: JavaScript
Request through your local library's inter-library loan service (bring or send a copy of this TGIF record)
  • Call Us: (517) 353-7209
  • Contact Information
  • Site Map
  • Privacy Statement
  • Site Accessibility
  • Call MSU: (517) 355-1855
  • Visit: msu.edu
  • MSU is an affirmative-action, equal-opportunity employer.
  • Notice of Nondescrimination
  • SPARTANS WILL.
  • © Michigan State University Board of Trustees