A comparison of four process-based models and a statistical regression model to predict growth of Eucalyptus globulus plantations

Peter Miehle, Michael Battaglia, Peter J. Sands, David I. Forrester, Paul M. Feikema, Stephen J. Livesley, Jim D. Morris and Stefan K. Arndt

Ecological Modelling, 2009, vol. 220, issue 5, 734-746

Abstract: In forest management and ecological research, consideration of the impacts and risks of climate change or management optimisation is complex. Computer models have long been applied as tools for these tasks. Process-based forest growth models claim to overcome the limitations of empirical statistical models, but the capacity of different process-based models and modelling approaches have rarely been compared directly. This study evaluates stepwise multiple regression models in comparison to four process-based modelling approaches (3-PG, 3-PG+, CABALA and Forest-DNDC) for greenfield predictions of Eucalyptus globulus plantation growth from 2 to 8 years after planting throughout southern Australia.

Keywords: Model comparison; Forest growth model; 3-PG; CABALA; Forest-DNDC; Eucalyptus globulus (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:220:y:2009:i:5:p:734-746

DOI: 10.1016/j.ecolmodel.2008.12.010

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