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DOI	10.1016/j.fcr.2018.11.011
	Explicit wheat production model adjusted for semi-arid environments
	Miller, Ofir 1; Helman, David 2,6; Svoray, Tal 1,5; Morin, Efrat 3; Bonfil, David J.4
通讯作者	Helman, David
来源期刊	FIELD CROPS RESEARCH
ISSN	0378-4290
EISSN	1872-6852
出版年	2019
卷号	231 页码:93-104
英文摘要	Current literature suggests that wheat production models are limited either to wide-scale or plot-based predictions ignoring pattern of habitat conditions and surficial hydrological processes. We present here a high-spatial resolution (50 m) non-calibrated GIS-based wheat production model for predictions of aboveground wheat biomass (AGB) and grain yield (GY). The model is an integration of three sub-models, each simulating elemental processes relevant for wheat growth dynamics in water-limited environments: (1) HYDRUS-1D, a finite element model that simulates one-dimensional movement of water in the soil profile; (2) a two-dimensional GIS-based surface runoff model; and (3) a one-dimensional process-driven mechanistic wheat growth model. By integrating the three sub-models, we aimed to achieve a more accurate spatially continuous water balance simulation with a better representation of root zone soil water content (SWC) impacts on plant development. High-resolution grid-based rainfall data from a meteorological radar system were used as input to HYDRUS-1D. Twenty-two commercial wheat fields in Israel were used to validate the model in two seasons (2010/11 and 2011/12). Results show that root zone SWC was accurately simulated by HYDRUS-1D in both seasons, particularly at the top 10-cm soil layer. Observed vs simulated AGB and GY were highly correlated with R-2 = 0.93 and 0.72 (RMSE = 171 g m(-2) and 70 g m(-2)) having low biases of -41 g m(-2) (8%) and 52 g m(-2) (10%), respectively. Model sensitivity test showed that HYDRUS-1D was mainly driven by spatial variability in the input soil characteristics while the integrated wheat production model was mostly affected by rainfall spatial variability indicating the importance of using accurate high-resolution rainfall data as model input. Using the integrated model, we predict decreases in AGB and GY of c. 10.5% and c. 12%, respectively, for 1 degrees C of warming and c. 7.7% and c. 7.3% for 5% reduction in rainfall amount in our study sites. The suggested model could be used by scientists to better understand the causes of spatial and temporal variability in wheat production and the consequences of future scenarios such as climate change.
英文关键词	GIS Grain yield HYDRUS Wheat Climate change
类型	Article
语种	英语
国家	Israel ; USA
收录类别	SCI-E
WOS记录号	WOS:000456224000010
WOS关键词	CLIMATE-CHANGE ; SOLAR-RADIATION ; AGRICULTURAL PRODUCTION ; FLOW DIRECTIONS ; WINTER-WHEAT ; CROP MODELS ; YIELD ; GROWTH ; IRRIGATION ; SENSITIVITY
WOS类目	Agronomy
WOS研究方向	Agriculture
来源机构	Ben-Gurion University of the Negev ; Hebrew University of Jerusalem
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215627
作者单位	1.Ben Gurion Univ Negev, Dept Geog & Environm Dev, IL-8410501 Beer Sheva, Israel; 2.Bar Ilan Univ, Dept Geog & Environm, IL-5290002 Ramat Gan, Israel; 3.Hebrew Univ Jerusalem, Inst Earth Sci, EJ Safra Campus, IL-9190401 Jerusalem, Israel; 4.Agr Res Org, Gilat Res Ctr, Dept Vegetable & Field Crop Res, IL-8531100 Jerusalem, Israel; 5.Ben Gurion Univ Negev, Dept Psychol, IL-8410501 Beer Sheva, Israel; 6.Johns Hopkins Univ, Dept Earth & Planetary Sci, Baltimore, MD 21218 USA
推荐引用方式 GB/T 7714	Miller, Ofir,Helman, David,Svoray, Tal,et al. Explicit wheat production model adjusted for semi-arid environments[J]. Ben-Gurion University of the Negev, Hebrew University of Jerusalem,2019,231:93-104.
APA	Miller, Ofir,Helman, David,Svoray, Tal,Morin, Efrat,&Bonfil, David J..(2019).Explicit wheat production model adjusted for semi-arid environments.FIELD CROPS RESEARCH,231,93-104.
MLA	Miller, Ofir,et al."Explicit wheat production model adjusted for semi-arid environments".FIELD CROPS RESEARCH 231(2019):93-104.