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

被引:87
作者
Confalonieri, Roberto [1 ]
Bellocchi, Gianni [2 ]
Tarantola, Stefano [3 ]
Acutis, Marco [4 ]
Donatelli, Marcello [2 ]
Genovese, Giampiero [1 ]
机构
[1] AGRI4CAST Act, European Commiss Joint Res Ctr, Inst Protect & Secur Citizen, Agr Unit, I-21027 Ispra, VA, Italy
[2] Agr Res Council, I-40128 Bologna, Italy
[3] STAT IND Act, European Commiss Joint Res Ctr, Inst Protect & Secur Citizen, Technol & Econ Risk Management Unit, I-21027 Ispra, VA, Italy
[4] Univ Milan, Dept Plant Prod, I-20133 Milan, Italy
关键词
Aboveground biomass; Morris method; SimLab; Simulation; Sobol' method; FLOODED RICE; YIELD; SIMULATE; WATER;
D O I
10.1016/j.envsoft.2009.10.005
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Sensitivity analysis studies how the variation in model outputs can be due to different sources of variation. This issue is addressed, in this study, as an application of sensitivity analysis techniques to a crop model in the Mediterranean region. In particular, an application of Morris and Sobol' sensitivity analysis methods to the rice model WARM is presented. The output considered is aboveground biomass at maturity, simulated at five rice districts of different countries (France, Greece, Italy, Portugal, and Spain) for years characterized by low, intermediate, and high continentality. The total effect index of Sobol' (that accounts for the total contribution to the output variation due a given parameter) and two Morris indices (mean mu and standard deviation sigma of the ratios output changes/parameter variations) were used as sensitivity metrics. Radiation use efficiency (RUE), optimum temperature (T(opt)), and leaf area index at emergence (LAI(ini)) ranked in most of the combinations site x year as first, second and third most relevant parameters. Exceptions were observed, depending on the sensitivity method (e.g. LAI(ini) resulted not relevant by the Morris method), or site-continentality pattern (e.g. with intermediate continentality in Spain, LAI(ini) and T(opt) were second and third ranked; with low continentality in Portugal, RUE was outranked by T(opt)). Low sigma values associated with the most relevant parameters indicated limited parameter interactions. The importance of sensitivity analyses by exploring site x climate combinations is discussed as pre-requisite to evaluate either novel crop-modelling approaches or the application of known modelling solutions to conditions not explored previously. The need of developing tools for sensitivity analysis within the modelling environment is also emphasized. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:479 / 488
页数:10
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