Ewen2013

Référence

Ewen, S. (2013) Evaluation and calibration of the CroBas-PipeQual model for Jack Pine (Pinus banksiana Lamb.) using Bayesian melding : hybridization of a process-based forest growth model with empirical yield curves. Mémoire de maîtrise, Université Laval. (URL )

Résumé

CroBas-PipeQual is a process-based forest growth model designed to study foliage development and how growth processes relate to changes in wood quality. As such, CroBas-PipeQual is of interest as a component model in a forest level decision support model for value assessment. In this thesis, the version of CroBas-PipeQual calibrated for jack pine (Pinus banksiana Lamb.) in Québec, Canada was qualitatively evaluated for use in forest management decision-making. Then, sensitivity analyses and Bayesian melding were used to create and calibrate a stand-level version of CroBas-PipeQual to local empirical height yield models in a hybrid-modelling approach. Key findings included: 1. Height predictions were most sensitive to input values and to parameters related to net photosynthesis; 2. Model performance was improved by varying two net-productivity parameters with site quality; and 3. Model performance needs further improvement before CroBas-PipeQual can be used as a component of a forest-management decision tool.

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@MASTERSTHESIS { Ewen2013,
    TITLE = { Evaluation and calibration of the CroBas-PipeQual model for Jack Pine (Pinus banksiana Lamb.) using Bayesian melding : hybridization of a process-based forest growth model with empirical yield curves },
    AUTHOR = { Ewen, S. },
    SCHOOL = { Université Laval },
    YEAR = { 2013 },
    NOTE = { CEFTMS, Raulier, F. },
    ABSTRACT = { CroBas-PipeQual is a process-based forest growth model designed to study foliage development and how growth processes relate to changes in wood quality. As such, CroBas-PipeQual is of interest as a component model in a forest level decision support model for value assessment. In this thesis, the version of CroBas-PipeQual calibrated for jack pine (Pinus banksiana Lamb.) in Québec, Canada was qualitatively evaluated for use in forest management decision-making. Then, sensitivity analyses and Bayesian melding were used to create and calibrate a stand-level version of CroBas-PipeQual to local empirical height yield models in a hybrid-modelling approach. Key findings included: 1. Height predictions were most sensitive to input values and to parameters related to net photosynthesis; 2. Model performance was improved by varying two net-productivity parameters with site quality; and 3. Model performance needs further improvement before CroBas-PipeQual can be used as a component of a forest-management decision tool. },
    URL = { https://corpus.ulaval.ca/jspui/handle/20.500.11794/24195 },
    TIMESTAMP = { 2019-10-09 },
}

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