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EPIC模型及其应用

DOI: 10.11820/dlkxjz.2012.05.006, PP. 584-592

Keywords: EPIC模型,模型参数,模型应用

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Abstract:

作物生长模型是定量评估作物生产潜力的重要工具。EPIC模型自1985年发表后,以其强大的功能在全球范围内得到了广泛应用。本文简述了EPIC模型的主要结构和功能,介绍了运行该模型所需的数据及数据库的构建方法,总结了EPIC模型的主要应用领域以及在中国包括作物生产潜力评估、水分和气候变化对产量影响、养分循环和损失、土壤碳储量变化、土壤侵蚀预测等方面的应用情况,最后提出了EPIC模型使用时的注意事项和研究展望。

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[92]  Cavero J, Farre I, Debaeke P, et al. Simulation of maizeyield under water stress with the EPICphase and CROPWATmodels. Agronomy Journal, 2000, 92(4): 679-690.
[93]  Priya S, Shibasaki R. National spatial crop yield simulationusing GIS-based crop production model. EcologicalModelling, 2001, 136(2-3): 113-129.
[94]  Wu W, Shibasaki R, Yang P, et al. Global-scale modellingof future changes in sown areas of major crops. EcologicalModelling, 2007, 27(12): 2137-2154.
[95]  Liu J. A GIS-based tool for modelling large-scalecrop-water relations. Environmental Modelling & Software,2009, 69(2): 115-133.
[96]  李军, 陈兵, 李小芳, 等. 黄土高原不同类型旱区苜蓿草地水分生产潜力与土壤干燥化效应模拟. 应用生态学报, 2007, 18(11): 2418-2425.
[97]  李军, 邵明安, 张兴昌. 黄土高原旱塬地冬小麦水分生产潜力与土壤水分动态的模拟研究.自然资源学报,2004, 19(6): 738-746.
[98]  Guerra L C, Hoogenboom G, Hook J E, et al. Evaluationof on-farm irrigation applications using the simulationmodel EPIC. Irrigation Science, 2005, 23(4): 171-181.
[99]  Ko J, Piccinni G, Steglich E. Using EPIC model to manageirrigated cotton and maize. Agricultural Water Management,2009, 96(5): 799-808.
[100]  Santos A M, Cabelguenne M, Santos F L, et al. EPIC-PHASE: A Model to explore Irrigation Strategies.Journal of Agricultural Engineering Research, 2000, 50(1): 95-106.
[101]  Wang X C, Li J. Evaluation of crop yield and soil waterestimates using the EPIC model for the Loess Plateau ofChina. Mathematical and Computer Modelling, 2009, 124(1): 24-32.
[102]  Liu J. Modelling the role of irrigation in winter wheatyield, crop water productivity, and production in China.Irrigation Science, 2007, 26(1): 21-33.
[103]  胡伟, 李军, 孙剑, 等. 黄土高原半干旱区春小麦和春玉米产量动态与土壤干燥化效应模拟研究. 水土保持研究, 2009, 16(1): 149-161.
[104]  Liu J, Zehnder A, Yang H. Drops for crops: Modelingcrop water productivity on a global scale. Global NestJournal, 2008, 10(3): 295-300.
[105]  Costantini E, Castelli F, L ABATE G. Using the EPICmodel to estimate soil moisture and temperature regimesand to assess the desertification risk. Sustainable Use andManagement of Soils in Arid and Semiarid Regions,2002, 2: 361-364.
[106]  Thomson A M, Brown R A, Ghan S J, et al. Elevation dependenceof winter wheat production in Eastern WashingtonState with climate change: A methodological study.Climatic Change, 2002, 54(1-2): 141-164.
[107]  宗雪梅. 利用侵蚀生产力影响计算者(EPIC)模型模拟作物对气候变化和CO2直接影响的反应. 河南气象, 1995(2): 27-28.
[108]  Niu X Z, Easterling W, Hays C J, et al. Reliability and input-data induced uncertainty of the EPIC model to estimateclimate change impact on sorghum yields in the USGreat Plains. Agriculture Ecosystems and Environment,2009, 129(1-3): 268-276.
[109]  Riha S J, Wilks D S, Simoens P. Impact of temperatureand precipitation variability on crop model predictions.Climatic Change, 1996, 32(3): 293-311.
[110]  Tan G X, Shibasaki R. Global estimation of crop productivityand the impacts of global warming by GIS and EPICintegration. Ecological Modelling, 2003, 168(3):357-370.
[111]  Easterling W E, Hays C J, Easterling M M, et al. Modellingthe effect of shelterbelts on maize productivity underclimate change: An application of the EPIC model. Agriculture,Ecosystems & Environment, 1997, 220(1): 71-80.
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