Next Article in Journal
Value Retention, Service Life, Use Intensity and Long-Term Productivity of Wood Chippers as Obtained from Contractor Records
Previous Article in Journal
Temporal Variation of Ecological Factors Affecting Bird Species Richness in Urban and Peri-Urban Forests in a Changing Environment: A Case Study from Milan (Northern Italy)
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Forests 2017, 8(12), 506;

Individual-Tree Diameter Growth Models for Mixed Nothofagus Second Growth Forests in Southern Chile

Centro de Investigación en Ecosistemas de la Patagonia (CIEP), Camino Baguales s/n, Coyhaique 5951601, Chile
School of Forest Resources & Conservation, University of Florida, 363 Newins-Ziegler Hall, P.O. Box 110410, Gainesville, FL 32611, USA
Faculty of Natural Sciences and Mathematics, Universidad del Rosario, Kr 26 No. 63B-48, Bogotá 111221492, Colombia
Author to whom correspondence should be addressed.
Received: 29 September 2017 / Revised: 7 December 2017 / Accepted: 12 December 2017 / Published: 19 December 2017
(This article belongs to the Section Forest Inventory, Quantitative Methods and Remote Sensing)
Full-Text   |   PDF [2292 KB, uploaded 21 December 2017]   |  


Second growth forests of Nothofagus obliqua (roble), N. alpina (raulí), and N. dombeyi (coihue), known locally as RORACO, are among the most important native mixed forests in Chile. To improve the sustainable management of these forests, managers need adequate information and models regarding not only existing forest conditions, but their future states with varying alternative silvicultural activities. In this study, an individual-tree diameter growth model was developed for the full geographical distribution of the RORACO forest type. This was achieved by fitting a complete model by comparing two variable selection procedures: cross-validation (CV), and least absolute shrinkage and selection operator (LASSO) regression. A small set of predictors successfully explained a large portion of the annual increment in diameter at breast height (DBH) growth, particularly variables associated with competition at both the tree- and stand-level. Goodness-of-fit statistics for this final model showed an empirical coefficient of correlation (R2emp) of 0.56, relative root mean square error of 44.49% and relative bias of −1.96% for annual DBH growth predictions, and R2emp of 0.98 and 0.97 for DBH projection at 6 and 12 years, respectively. This model constitutes a simple and useful tool to support management plans for these forest ecosystems. View Full-Text
Keywords: RORACO forest type; tree-to-tree competition; variable selection; cross-validation; LASSO RORACO forest type; tree-to-tree competition; variable selection; cross-validation; LASSO

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Moreno, P.C.; Palmas, S.; Escobedo, F.J.; Cropper, W.P.; Gezan, S.A. Individual-Tree Diameter Growth Models for Mixed Nothofagus Second Growth Forests in Southern Chile. Forests 2017, 8, 506.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Forests EISSN 1999-4907 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top