Skip Navigation


Forestry Advance Access originally published online on January 15, 2009
Forestry 2009 82(2):149-162; doi:10.1093/forestry/cpn045
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
82/2/149    most recent
cpn045v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Rodríguez, R.
Right arrow Articles by Perry, D. A.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© Institute of Chartered Foresters, 2009. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

A process-based model to evaluate site quality for Eucalyptus nitens in the Bio-Bio Region of Chile

Rolando Rodríguez1,*, Pedro Real2, Miguel Espinosa2 and David A. Perry3

1 Corporación Nacional Forestal, Barros Arana 215, Concepción, Chile
2 Facultad de Ciencias Forestales, Universidad de Concepcion, Casilla 160-C, Concepción, Chile
3 Department of Forest Science, Oregon State University, 321 Richardson Hall, Corvallis, OR 97331-5752, USA

* Corresponding author. E-mail: rrodrigu{at}conaf.cl


  Abstract

A simplified, physiologically based (3-PG) model was used to evaluate the effects of spatial variation in climate and soils on the potential productivity of Eucalyptus nitens Deane and Maiden (Maiden). The model was parameterized based on the physiology of E. nitens to predict potential productivity and leaf area index as influenced by environmental factors. Data obtained from conventional weather stations were utilized by the 3-PG model to predict productivity site classes. A final plantation suitability grid was mapped to show areas of the region with productivity classes predicted to be very high (>52 m3 ha–1 year–1), high (47.5–52 m3 ha–1 year–1), moderate (45–47.5 m3 ha–1 year–1), low (35–45 m3 ha–1 year–1) and very low (<35 m3 ha–1 year–1). The lowest potential productivity was attributable to soil water and nutrients limitations. A process-based forest growth model that can be widely extrapolated using geographic information system is particularly useful to screen areas as prospective plantation sites.

Received 9 August 2007.
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.