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CropSyst model evolution: From field to regional to global scales and from research to decision support systems.

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Title: CropSyst model evolution: From field to regional to global scales and from research to decision support systems.
Authors: Stöckle, Claudio O.1 stockle@wsu.edu, Kemanian, Armen R.2, Nelson, Roger L.1, Adam, Jennifer C.3, Sommer, Rolf4, Carlson, Bryan1
Source: Environmental Modelling & Software. Dec2014, Vol. 62, p361-369. 9p.
Subject Terms: *Agriculture, *Cropping systems, Mathematical models, Decision support systems, Crop growth
Abstract: Motivated by global and regional challenges in food production and a broader consideration of ecosystem services, there has been a substantial increase in the demand for integrated agricultural systems models and spatially-distributed applications that can be used for regional and global assessments and as decision support tools. This demand marks a shift from earlier emphasis in single-crop point simulations and poses a significant challenge as cropping systems models need to improve and increase their capabilities to address multiple scales in a cohesive scientific manner and using updated computing platforms. In this article we discuss how the cropping systems model CropSyst has evolved to meet these new demands and provide some concepts for the future. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
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DbLabel: GreenFILE
An: 99739968
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Modelling+%26+Software%22">Environmental Modelling & Software</searchLink>. Dec2014, Vol. 62, p361-369. 9p.
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  Data: *<searchLink fieldCode="DE" term="%22Agriculture%22">Agriculture</searchLink><br />*<searchLink fieldCode="DE" term="%22Cropping+systems%22">Cropping systems</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink><br /><searchLink fieldCode="DE" term="%22Crop+growth%22">Crop growth</searchLink>
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  Data: Motivated by global and regional challenges in food production and a broader consideration of ecosystem services, there has been a substantial increase in the demand for integrated agricultural systems models and spatially-distributed applications that can be used for regional and global assessments and as decision support tools. This demand marks a shift from earlier emphasis in single-crop point simulations and poses a significant challenge as cropping systems models need to improve and increase their capabilities to address multiple scales in a cohesive scientific manner and using updated computing platforms. In this article we discuss how the cropping systems model CropSyst has evolved to meet these new demands and provide some concepts for the future. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.envsoft.2014.09.006
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 361
    Subjects:
      – SubjectFull: Agriculture
        Type: general
      – SubjectFull: Cropping systems
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      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Decision support systems
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      – SubjectFull: Crop growth
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      – TitleFull: CropSyst model evolution: From field to regional to global scales and from research to decision support systems.
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              Text: Dec2014
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