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

被引：63
作者：
Stoeckle, Claudio O. [1 ]
Kemanian, Armen R. [3 ]
Nelson, Roger L. [1 ]
Adam, Jennifer C. [2 ]
Sommer, Rolf [4 ]
Carlson, Bryan [1 ]
机构：
[1] Washington State Univ, Dept Biol Syst Engn, Pullman, WA 99164 USA
[2] Washington State Univ, Dept Civil & Environm Engn, Pullman, WA 99164 USA
[3] Penn State Univ, Dept Plant Sci, University Pk, PA 16802 USA
[4] Ctr Int Agr Trop, Nairobi, Kenya
来源：
ENVIRONMENTAL MODELLING & SOFTWARE | 2014年 / 62卷
基金：
美国农业部;
关键词：
Agricultural systems model; Cropping system model; Crop growth simulation; Spatially-distributed application; CLIMATE-CHANGE SCENARIOS; CROPPING SYSTEMS; EASTERN WASHINGTON; POTENTIAL IMPACTS; WATER-USE; SIMULATION; WHEAT; MAIZE; YIELD; LAND;
D O I：
10.1016/j.envsoft.2014.09.006
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：361 / 369
页数：9
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