参考文献/References:
[1]王雨,李占林,刘晓红.新疆枣标准化生产技术推广专题一:新疆枣发展现状及品种选择[J].新疆林业,2019(2):18-20.
[2]官景得,张玉兰,戴小笠,等.基于3种回归模型的红枣产量动态预报[J].安徽农业科学,2010,38(34):19260-19262.
[3]李鹏飞,王青青,毋建宏,等.基于灰狼优化算法的最小二乘支持向量机红枣产量预测研究[J].安徽农业科学,2020,48(6):218-222.
[4]段丁丁,何英彬,于金宽,等.DSSAT-SUBSTOR马铃薯模型的参数敏感性分析及适宜性评价[J].安徽农业大学学报,2019,46(3):521-527.
[5]吴立峰,张富仓,范军亮,等.不同灌水水平下CROPGRO棉花模型敏感性和不确定性分析[J].农业工程学报,2015,31(15):55-64.
[6]纪甫江,蒙继华,方慧婷.基于CASA-WOFOST耦合模型的大豆单产遥感估算研究[J].遥感技术与应用,2020,35(2):406-415.
[7]WIT D C T. Photosynthesis of leaf canopies[R]. Netherlands, Wageningen:Wageningen University,1965.
[8]BOUMAN B , KEULEN H V , LAAR H , et al. The ’School of de Wit’ crop growth simulation models: A pedigree and historical overview[J]. Agricultural Systems, 1996, 52(2):171-198.
[9]JONES J W, HOOGENBOOM G, PORTER C H, et al. The DSSAT cropping system model[J]. European Journal of Agronomy, 2003,18(3/4):235-265.
[10]LI C S, FROLKING S, FROLKING T A. A model of nitrous oxide evolution from soil driven by rainfall events:1. Model structure and sensitivity[J]. Journal of Geophysical Research, 1992, 97:9759-9776.
[11]LI C S, FROLKING S, FROLKING T A. A model of nitrous oxide evolution from soil driven by rainfall events: 2 model applications[J]. Journal of Geophysical Research,1992,97:9777-9783.
[12]LI C S, FROLKING S, HARRISS R. Modeling carbon biogeochemistry in agricultural soils[J]. Global Biogeochemical Cycles, 1994, 8:237-254.
[13]李长生.生物地球化学的概念与方法——DNDC模型的发展[J].第四纪研究,2001,21(2):89-99.
[14]CLEVERS J G P W, VAN LEEUWEN H J C. Combined use of optical and microwave remote sensing data for crop growth monitoring[J]. Remote Sensing of Environment, 1996, 56(1):42-51.
[15]LAUNAY M, GUERIF M. Assimilating remote sensing data into a crop model to improve predictive performance for spatial applications[J]. Agriculture Ecosystems and Environment,2005, 111(1/4):321-339.
[16]SALTELLI A. Sensitivity analysis: could better methods be used ?[J]. Journal of Geophysical Research Atmospheres, 1999, 104(D3):3789-3793.
[17]MARIO PARUGGIA. Sensitivity analysis in practice: a guide to assessing scientific models[J]. Journal of the American Statistical Association,2006,101(473):398-399.
[18]SONG X,ZHANG J, ZHAN C, et al. Global sensitivity analysis in hydrological modeling: review of concepts, methods, theoretical framework, and applications[J]. Journal of Hydrology, 2015, 523:739-757.
[19]YANG J. Convergence and uncertainty analyses in Monte Carlo based sensitivity analysis[J]. Environmental Modelling & Software, 2011, 26(4):444-457.
[20]吴锦,余福水,陈仲新,等.基于EPIC模型的冬小麦生长模拟参数全局敏感性分析[J].农业工程学报,2009,25(7):136-142.
[21]PATHAK H, LI C, WASSMANN R. Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model[J]. Biogeosciences, 2005, 2(2):113-123.
[22]SMITH W N, DESJARDINS R L, GRANT B, et al. Testing the DNDC model using N_0 emissions at t-wo experimental sites in Canada [J]. Canadian Journal of Soil Science, 2002, 82 (3):365-374.
[23]SMITH W N, GRANT B B, DESJARDINS R L, et al. Evaluation of two process-based models to estimate N2O emissions in Eastern Canada[J]. Canadian Journal of Soil Science, 2008, 88(2):251-260.
[24]TANG H, QIU J, RANST E V, et al. Estimations of soil organic carbon storage in cropland of China based on DNDC model[J]. Geoderma, 2006,134(1):200-206.
[25]SALTELLI A, TARANTOLA S, CHAN K. A quantitative model-independent method for global sensitivity analysis of model output[J]. Technometrics, 1999, 41(1):39-56.
[26]CUIKIER R I, LEVINE H B, SHULER K E. Nonlinear sensitivity analysis of multiparameter model systems[J]. Journal of Computational Physics, 1978, 26(1):1-42.
[27]李旭华,孙建新.Biome-BGC模型模拟阔叶红松林碳水通量的参数敏感性检验和不确定性分析[J].植物生态学报,2018,42(12):1131-1144.
[28]时颖,张阿慧.若羌县红枣种植的气候条件分析及高产栽培技术[J].农民致富之友,2018(22):51.