Modelación del crecimiento de bosques: estado del arte

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dc.creatorChristian Salas
dc.creatorTimothy G Gregoire
dc.creatorDylan J Craven
dc.creatorHoracio Gilabert
dc.date2016
dc.date.accessioned2026-07-07T02:36:51Z
dc.descriptionForest growth models are key tools for both managing and understanding forest dynamics. These models have evolved from yield tables to models that simulate ecological and physiological processes. Because several approaches exist for modelling forest growth, understanding their strengths and weaknesses is complex. Here, we present a review of forest growth modelling and focus on the most common types of models: growth and yield, succession, process-based, and hybrid. These models might or might not include stochastic components. Worldwide there is a trend towards building hybrid models, because they are best suited to represent the effect of climate change on tree growth. However, empirical evidence has not shown major differences in predictions between hybrid and simpler growth models. Finally, we emphasize that none type of growth model is demonstrably better than others and that each is used to answer a great variety of research and management questions.
dc.formatapplication/pdf
dc.identifier0304-8799
dc.identifierhttps://www.redalyc.org/articulo.oa?id=173145672001
dc.identifier.urihttp://hdl.handle.net/123456789/420432
dc.languagees
dc.publisherUniversidad Austral de Chile
dc.relationhttp://www.redalyc.org/revista.oa?id=1731
dc.rightsBosque
dc.sourceBosque (Chile) Num.1 Vol.37
dc.subjectAgrociencias
dc.titleModelación del crecimiento de bosques: estado del arte
dc.typeartículo científico

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Bosque - Universidad Austral de Chile