Abstract
Sensitivity analysis is a powerful tool which gives important insights regarding parameterization in the process of model design. For an empirical model like the Greenlab model of plant growth relying on parameter estimation from experimental data, such study should open new perspectives for model identification. This study was aimed at analyzing the sensitivity of GreenLab model for maize. When the value of biomass production is considered as the output, the system tends to be linear, the level is above 94% for the SRC (Standardized Regression coefficients) study. Conversion efficiency and characteristic surface are proved to be the most sensitive factors. In Sobol’s measure, we excluded the two most sensitive factors in the analysis, then the system linearity is weaker. We obtained the detailed sensitivity indexes for the other uncertain parameters, by which we get the driving forces of maize growth at different stages.
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Claims 5
Claim · model-written summary
With biomass production as output, the model was more than 94% linear in the SRC study.
Zea maysOrganisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“maize”
e0“When the value of biomass production is considered as the output, the system tends to be linear, the level is above 94% for the SRC (Standardized Regression coefficients) study”
Claim · model-written summary
Conversion efficiency was among the most sensitive model factors.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“maize”
e0“Conversion efficiency and characteristic surface are proved to be the most sensitive factors”
Claim · model-written summary
Characteristic surface was among the most sensitive model factors.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“maize”
e0“Conversion efficiency and characteristic surface are proved to be the most sensitive factors”
Claim · model-written summary
After excluding the two most sensitive factors in Sobol’s measure, model linearity was weaker.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“maize”
e0“In Sobol’s measure, we excluded the two most sensitive factors in the analysis, then the system linearity is weaker”
Claim · model-written summary
The analysis produced detailed sensitivity indexes for other uncertain parameters across maize growth stages.
- Outcome
- detailed sensitivity indexese0
- Qualifier
- different stagese0
- Comparator
- other uncertain parameterse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“We obtained the detailed sensitivity indexes for the other uncertain parameters, by which we get the driving forces of maize growth at different stages”