Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/7350
Título: On the use of the bayesian approach for the calibration, evaluation and comparison of process-based forest models
Autor: Minunno, Francesco
Orientador: Pereira, João Santos
Tomé, Margarida
Salvatori, Sofia Cerasoli
Palavras-chave: process-based models
Bayesian statistics
carbon cycle
water cycle
uncertainty analysis
global sensitivity analysis
Data de Defesa: 2014
Editora: ISA/UL
Citação: Minunno, F. - On the use of the bayesian approach for the calibration, evaluation and comparison of process-based forest models. Lisboa: ISA, 2014, 104 p.
Resumo: Forest ecosystems have been experiencing fast and abrupt changes in the environmental conditions, that can increase their vulnerability to extreme events such as drought, heat waves, storms, fire. Process-based models can draw inferences about future environmental dynamics, but the reliability and robustness of vegetation models are conditional on their structure and their parametrisation. The main objective of the PhD was to implement and apply modern computational techniques, mainly based on Bayesian statistics, in the context of forest modelling. A variety of case studies was presented, spanning from growth predictions models to soil respiration models and process-based models. The great potential of the Bayesian method for reducing uncertainty in parameters and outputs and model evaluation was shown. Furthermore, a new methodology based on a combination of a Bayesian framework and a global sensitivity analysis was developed, with the aim of identifying strengths and weaknesses of process-based models and to test modifications in model structure. Finally, part of the PhD research focused on reducing the computational load to take full advantage of Bayesian statistics. It was shown how parameter screening impacts model performances and a new methodology for parameter screening, based on canonical correlation analysis, was presented
Descrição: Doutoramento em Engenharia Florestal e dos Recursos Naturais - Instituto Superior de Agronomia
URI: http://hdl.handle.net/10400.5/7350
Aparece nas colecções:BISA - Teses de Doutoramento / Doctoral Thesis

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