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A new methodology based on sensitivity analysis to simplify the recalibration of functional-structural plant models in new conditions
Mathieu, Amelie1; Vidal, Tiphaine1; Jullien, Alexandra1; Wu, QiongLi2; Chambon, Camille1; Bayol, Benoit3; Cournede, Paul-Henry3
2018-09-01
Source PublicationANNALS OF BOTANY
ISSN0305-7364
Volume122Issue:3Pages:397-408
SubtypeArticle
AbstractBackground and Aims Functional-structural plant models (FSPMs) describe explicitly the interactions between plants and their environment at organ to plant scale. however, the high level of description of the structure or model mechanisms makes this type of model very complex and hard to calibrate. A two-step methodology to facilitate the calibration process is proposed here.
KeywordGlobal Sensitivity Analysis Sobol Indices Winter Oilseed Rape Functional-structural Plant Model Generalized Least Squares Parameter Estimation Model Calibration Akaike Information Criterion
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Funding OrganizationNational Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290)
DOI10.1093/aob/mcy080
WOS KeywordWINTER OILSEED RAPE ; PARAMETER OPTIMIZATION ; FIELD VALIDATION ; GROWTH ; SIMULATION ; GREENLAB ; UNCERTAINTY ; EFFICIENCY ; GENOTYPE ; FRUIT
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290) ; National Natural Science Foundation of China (NSFC)(31600290)
WOS Research AreaPlant Sciences
WOS SubjectPlant Sciences
WOS IDWOS:000442923400007
PublisherOXFORD UNIV PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.wipm.ac.cn/handle/112942/13045
Collection中国科学院武汉物理与数学研究所
Corresponding AuthorMathieu, Amelie
Affiliation1.Univ Paris Saclay, AgroParisTech, INRA, UMR ECOSYS, F-78850 Thiverval Grignon, France
2.Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan 430071, Peoples R China
3.Univ Paris Saclay, Cent Supelec, MICS Lab, F-91190 Gif Sur Yvette, France
Recommended Citation
GB/T 7714
Mathieu, Amelie,Vidal, Tiphaine,Jullien, Alexandra,et al. A new methodology based on sensitivity analysis to simplify the recalibration of functional-structural plant models in new conditions[J]. ANNALS OF BOTANY,2018,122(3):397-408.
APA Mathieu, Amelie.,Vidal, Tiphaine.,Jullien, Alexandra.,Wu, QiongLi.,Chambon, Camille.,...&Cournede, Paul-Henry.(2018).A new methodology based on sensitivity analysis to simplify the recalibration of functional-structural plant models in new conditions.ANNALS OF BOTANY,122(3),397-408.
MLA Mathieu, Amelie,et al."A new methodology based on sensitivity analysis to simplify the recalibration of functional-structural plant models in new conditions".ANNALS OF BOTANY 122.3(2018):397-408.
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