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Global sensitivity analysis of the APSIM-Oryza rice growth model under different environmental conditions

Liu, Junzhi ; Liu, Zhangcong ; Zhu, A. Xing ; Shen, Fang ; Lei, Qiuliang and Duan, Zheng LU (2019) In Science of the Total Environment 651. p.953-968
Abstract

This study conducted the global sensitivity analysis of the APSIM-Oryza rice growth model under eight climate conditions and two CO2 levels using the extended Fourier Amplitude Sensitivity Test method. Two output variables (i.e. total aboveground dry matter WAGT and dry weight of storage organs WSO) and twenty parameters were analyzed. The ±30% and ±50% perturbations of base values were used as the ranges of parameter variation, and local fertilization and irrigation managements were considered. Results showed that the influential parameters were the same under different environmental conditions, but their orders were often different. Climate conditions had obvious influence on the sensitivity index of several parameters... (More)

This study conducted the global sensitivity analysis of the APSIM-Oryza rice growth model under eight climate conditions and two CO2 levels using the extended Fourier Amplitude Sensitivity Test method. Two output variables (i.e. total aboveground dry matter WAGT and dry weight of storage organs WSO) and twenty parameters were analyzed. The ±30% and ±50% perturbations of base values were used as the ranges of parameter variation, and local fertilization and irrigation managements were considered. Results showed that the influential parameters were the same under different environmental conditions, but their orders were often different. Climate conditions had obvious influence on the sensitivity index of several parameters (e.g. RGRLMX, WGRMX and SPGF). In particular, the sensitivity index of RGRLMX was larger under cold climate than under warm climate. Differences also exist for parameter sensitivity of early and late rice in the same site. The CO2 concentration did not have much influence on the results of sensitivity analysis. The range of parameter variation affected the stability of sensitivity analysis results, but the main conclusions were consistent between the results obtained from the ±30% perturbation and those obtained the ±50% perturbation in this study. Compared with existing studies, our study performed the sensitivity analysis of APSIM-Oryza under more environmental conditions, thereby providing more comprehensive insights into the model and its parameters.

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author
; ; ; ; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Climate condition, CO level, Extended FAST, Parameter sensitivity, Range of parameter variation
in
Science of the Total Environment
volume
651
pages
16 pages
publisher
Elsevier
external identifiers
  • scopus:85053770951
  • pmid:30257234
ISSN
0048-9697
DOI
10.1016/j.scitotenv.2018.09.254
language
English
LU publication?
no
id
7443fbcc-f2bf-49ba-8d07-74e0fcfca804
date added to LUP
2019-12-22 20:13:56
date last changed
2024-09-04 14:52:23
@article{7443fbcc-f2bf-49ba-8d07-74e0fcfca804,
  abstract     = {{<p>This study conducted the global sensitivity analysis of the APSIM-Oryza rice growth model under eight climate conditions and two CO<sub>2</sub> levels using the extended Fourier Amplitude Sensitivity Test method. Two output variables (i.e. total aboveground dry matter WAGT and dry weight of storage organs WSO) and twenty parameters were analyzed. The ±30% and ±50% perturbations of base values were used as the ranges of parameter variation, and local fertilization and irrigation managements were considered. Results showed that the influential parameters were the same under different environmental conditions, but their orders were often different. Climate conditions had obvious influence on the sensitivity index of several parameters (e.g. RGRLMX, WGRMX and SPGF). In particular, the sensitivity index of RGRLMX was larger under cold climate than under warm climate. Differences also exist for parameter sensitivity of early and late rice in the same site. The CO<sub>2</sub> concentration did not have much influence on the results of sensitivity analysis. The range of parameter variation affected the stability of sensitivity analysis results, but the main conclusions were consistent between the results obtained from the ±30% perturbation and those obtained the ±50% perturbation in this study. Compared with existing studies, our study performed the sensitivity analysis of APSIM-Oryza under more environmental conditions, thereby providing more comprehensive insights into the model and its parameters.</p>}},
  author       = {{Liu, Junzhi and Liu, Zhangcong and Zhu, A. Xing and Shen, Fang and Lei, Qiuliang and Duan, Zheng}},
  issn         = {{0048-9697}},
  keywords     = {{Climate condition; CO level; Extended FAST; Parameter sensitivity; Range of parameter variation}},
  language     = {{eng}},
  month        = {{02}},
  pages        = {{953--968}},
  publisher    = {{Elsevier}},
  series       = {{Science of the Total Environment}},
  title        = {{Global sensitivity analysis of the APSIM-Oryza rice growth model under different environmental conditions}},
  url          = {{http://dx.doi.org/10.1016/j.scitotenv.2018.09.254}},
  doi          = {{10.1016/j.scitotenv.2018.09.254}},
  volume       = {{651}},
  year         = {{2019}},
}