Monte Carlo based sensitivity analysis of two crop simulators and considerations on model balance
Tài liệu tham khảo
Akaike, 1974, A new look at the statistical model identification, IEEE Trans. Automat. Control, 19, 716, 10.1109/TAC.1974.1100705
Allen, 1998
Asseng, 2002, Simulation of grain protein content with APSIM-Nwheat, Eur. J. Agron., 16, 25, 10.1016/S1161-0301(01)00116-2
Boschetti, 2006, Estimation of parameters describing morpho-physiological features of Mediterranean rice group for crop modelling purposes, Ital. J. Agrometeorol., 3, 40
Campolongo, 2007, An effective screening design for sensitivity analysis of large models, Environ. Modell. Softw., 22, 1509, 10.1016/j.envsoft.2006.10.004
Cariboni, 2007, The role of sensitivity analysis in ecological modelling, Ecol. Model., 203, 167, 10.1016/j.ecolmodel.2005.10.045
Casanova, 2000, Testing the performance of ORYZA1, an explanatory model for rice growth simulation, for Mediterranean conditions, Eur. J. Agron., 12, 175, 10.1016/S1161-0301(00)00048-4
Confalonieri, 2005, Evaluation of CropSyst for simulating the yield of flooded rice in northern Italy, Eur. J. Agron., 23, 315, 10.1016/j.eja.2004.12.002
Confalonieri, 2009, Multi-metric evaluation of the models WARM, CropSyst, and WOFOST for rice, Ecol. Model., 220, 1395, 10.1016/j.ecolmodel.2009.02.017
Confalonieri, 2009, Evaluation of parameterization strategies for rice modelling, Span. J. Agric. Res., 7, 680, 10.5424/sjar/2009073-453
Confalonieri, 2010, Sensitivity analysis of the rice model WARM in Europe: exploring the effects of different locations, climates and methods of analysis on model sensitivity to crop parameters, Environ. Modell. Softw., 25, 479, 10.1016/j.envsoft.2009.10.005
Confalonieri, 2010, A proposal o fan indicator for quantifying model robustness based on the relationship between variability of errors and of explored conditions, Ecol. Model., 10.1016/j.ecolmodel.2009.12.003
Dingkuhn, 1999, Relationships between upland rice canopy characteristics and weed competitiveness, Field Crop. Res., 61, 79, 10.1016/S0378-4290(98)00152-X
Donatelli, 1997, Evaluation of CropSyst for cropping systems at two locations of northern and southern Italy, Eur. J. Agron., 6, 35, 10.1016/S1161-0301(96)02029-1
Grubbs, 1969, Procedures for detecting outlying observations in samples, Technometrics, 11, 1, 10.2307/1266761
Kropff, 1994, ORYZA1: an ecophysiological model for irrigated rice production
Monzon, 2006, Fallow soil evaporation and water storage as affected by stubble in sub-humid (Argentina) and semi-arid (Australia) environments, Field Crop. Res., 98, 83, 10.1016/j.fcr.2005.12.010
Morris, 1991, Factorial sampling plans for preliminary computational experiments, Technometrics, 33, 161, 10.2307/1269043
Richter, 2010, Sensitivity analysis for a complex crop model applied to Durum wheat in the Mediterranean, Eur. J. Agron., 32, 127, 10.1016/j.eja.2009.09.002
Saisana, 2002
Saltelli, 2002, Making best use of model evaluations to compute sensitivity indices, Comput. Phys. Commun., 145, 280, 10.1016/S0010-4655(02)00280-1
2009
Sobol’, 1993, Sensitivity estimates for nonlinear mathematical models, Math. Modell. Comput. Exp., 1, 407
Stöckle, 2003, CropSyst, a cropping systems simulation model, Eur. J. Agron., 18, 289, 10.1016/S1161-0301(02)00109-0
Stroppiana, 2006, Evaluation of LAI-2000 for leaf area index monitoring in paddy rice, Field Crop. Res., 99, 167, 10.1016/j.fcr.2006.04.002
Tarantola, 2003, SAMO 2001: methodological advances and innovative applications of sensitivity analysis, Reliab. Eng. Syst. Safety, 79, 121, 10.1016/S0951-8320(02)00221-1
Tubiello, 2000, Effects of climate change and elevated CO2 on cropping systems: model predictions at two Italian locations, Eur. J. Agron., 13, 179, 10.1016/S1161-0301(00)00073-3
Van Diepen, 1988
Van Ittersum, 2003, On approaches and applications of the Wageningen crop models, Eur. J. Agron., 18, 201, 10.1016/S1161-0301(02)00106-5
Van Keulen, 1986, Modelling of agricultural production: weather soils and crops
Ziska, 1992, CO2 enhancement of growth and photosynthesis in rice (Oryza sativa), Plant Physiol., 99, 473, 10.1104/pp.99.2.473