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Table of contents

2009 Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications

2006 Second International Symposium on Plant Growth Modeling and Applications

Sensitivity analysis for a forest growth model: A statistical and time-dependent point of view

Content Provider	IEEE Xplore Digital Library
Author	Xiaodong Song Gang Zhao
Copyright Year	2012
Description	Author affiliation: Inst. of Geographic Sci. & Natural Resources Res., Beijing, China (Gang Zhao) \|\| Inst. of Urban Environ., Xiamen, China (Xiaodong Song)
Abstract	Increasing number of computer models are being used to simulate and predict the state of certain systems, in which parameter calibration and model output uncertainties co-exist due to the incomplete understanding of the system under simulation and biased model structure. In this paper, we demonstrated the ability of using sensitivity analysis, which include both screening and variance-based methods, to explore model structure and behavior. A forest growth model 3-PG2 and 141 plots of Corymbia maculata and Eucalyptus cladocalyx are used. Two model outputs, leaf area index and root biomass, were evaluated. Comparability between screening and variance-based methods and the change in sensitivities over time were assessed. High consistency was found and the variance-based method exhibited excellent convergence and stable sensitivity rankings. The results show that for each model output, the methods presented here can effectively identify the relative sensitivities of each input parameter. The results present some instructive hints about the model structure and underlying model behavior evolution features as simulation period becoming longer. This study shows that the sensitivity analysis methods are effective tools in model calibration and identification.
Sponsorship	IEEE Beijing Sect.
Starting Page	355
Ending Page	359
File Size	1249832
Page Count	5
File Format	PDF
ISBN	9781467300674
e-ISBN	9781467300704
DOI	10.1109/PMA.2012.6524857
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	sensitivity analysis 3-PG2 variance-based
Content Type	Text
Resource Type	Article

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