Simulating field-scale variability and precision management with a 3D hydrologic cropping systems model

被引:10
作者
Ward, Nicole K. [1 ]
Maureira, Fidel [2 ]
Stockle, Claudio O. [2 ]
Brooks, Erin S. [3 ]
Painter, Kathleen M. [4 ]
Yourek, Matthew A. [3 ]
Gasch, Caley K. [5 ]
机构
[1] Virginia Tech, Dept Biol Sci, Derring Hall 1027,926 West Campus Dr, Blacksburg, VA 24061 USA
[2] Washington State Univ, Dept Biol Syst Engn, Smith Hall 213,1935 E Grimes Way,POB 646120, Pullman, WA 99164 USA
[3] Univ Idaho, Dept Biol & Agr Engn, POB 442060, Moscow, ID 83844 USA
[4] Univ Idaho Extens, Boundary Cty, 6447 Kootenai St, Bonners Ferry, ID 83805 USA
[5] North Dakota State Univ, Dept Soil Sci, Walster Hall 249,POB 6050, Fargo, ND 58108 USA
基金
美国农业部;
关键词
Cropping systems model; Spatial variability; Variable rate fertilizer; Wheat; Hydrology; SOIL PHYSICAL-PROPERTIES; GRAIN-YIELD RESPONSE; NITROGEN-FERTILIZER; WHEAT YIELD; SPATIAL VARIABILITY; TILLAGE SYSTEMS; PALOUSE REGION; DRYLAND WHEAT; HAYING-OFF; WATER;
D O I
10.1007/s11119-017-9517-6
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Effective variable-rate nitrogen (N) management requires an understanding of temporal variability and field-scale spatial interactions (e.g. lateral redistribution of nutrients). Modeling studies, in conjunction with field data, can improve process understanding of agricultural management. CropSyst-Microbasin (CS-MB) is a fully distributed, 3-dimensional hydrologic cropping systems model that simulates small (10 s of hectares) heterogeneous agricultural watersheds with complex terrain. This study used a highly instrumented 10.9 ha watershed in the Inland Pacific Northwest, USA, to: (1) assess the accuracy of CS-MB simulations of field-scale variability in water transport and crop yield in comparison to observed field data, and (2) quantify differences in simulated yield and farm profitability between variable-rate and uniform fertilizer applications in low, average and high precipitation treatments. During water years 2012 and 2013 (a "water year" refers to October 1st through the following September 30th, where a given water year is named for the calendar year on September 30th), the model simulated surface runoff with a Nash-Sutcliffe efficiency (NSE) of 0.7, periodic soil water content (comparison to seasonal soil core measurements) with a root mean square error (RMSE) <= 0.05 m(3) m(-3), and continuous soil water content (comparison to in situ soil sensors) at 15 of 20 microsites with NSE >= 0.4. The model predicted 2013 field variability in winter wheat yield with RMSE of 1100 kg ha(-1). Simulated uniform N management resulted in 0-35 kg ha(-1) greater field average yield in comparison to variable-rate management. The savings in fertilizer costs under variable-rate N management resulted in $23-$32 ha(-1) greater field average returns to risk. This study demonstrated the capacity of CS-MB to further understanding of simulated and observed field-scale spatial variability and simulated crop response to low, medium and high annual precipitation.
引用
收藏
页码:293 / 313
页数:21
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