Multilevel linear mixed model for tree diameter increment in stone pine (Pinus pinea): a calibrating approach

By Rafael Calama, G. Montero. 2005

128 citations recorded by the source corpus.

Diameter increment for stone pine (Pinus pinea L.) is described using a multilevel linear mixed model, where stochastic variability is broken down among period, plot, tree and within-tree components. Covariates acting at tree and stand level, as breast height diameter, density, dominant height or site index are included in the model as fixed effects in order to explain residual random variability. The effect of competition on diameter increment is expressed by including distance independent competition indices. The entrance of regional effects within the model is tested to determine whether a single model is sufficient to explain stone pine diameter increment in Spain, or if, on the contrary, regional models are needed. Diameter increment model can be calibrated by predicting random components using data from past growth measurements taken in a complementary sample of trees. Calibration is carried out by using the best linear unbiased predictor (BLUP) theory. Both the fixed effects model and the calibrated model mean a substantial improvement when compared with the classical approach, widely used in forest management, of assuming constancy in diameter increment for a short projection period.

Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/db42bf1e92a9a1169931528a0aec04dbc2491573

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. M. Río
2. J. Dech
3. P. Adame
4. Isabel Cañellas
5. Jari Hynynen
6. B. Pokharel

In Global and Planetary Change

1. M. Río
2. Isabel Cañellas
3. J. Dech
4. P. Adame
5. Jari Hynynen
6. B. Pokharel

In Nature and Landscape Conservation

1. M. Río
2. Isabel Cañellas
3. J. Dech
4. P. Adame
5. Jari Hynynen
6. B. Pokharel
7. Hans Pretzsch

Citations in the corpus

• Individual-tree diameter growth model for rebollo oak (Quercus pyrenaica Willd.) coppices (2008, methodology): “The evolution of the mixed modelling methodology provided a statistical method capable of explicitly modelling hierarchical stochastic structure (Biging, 1985; Lappi, 1986; Hökkä et al., 1997; Fox et al., 2001; Calama and Montero, 2005).”
• Distance independent tree diameter growth model for cork oak stands (2006, unknown): “Similar results were obtained in Calama and Montero (2005) where between plot random effect accounted for most of the total variation.”
• Mixed-effects basal area increment models for tree species in the boreal forest of Ontario, Canada using an ecological land classification approach to incorporate site effects (2012, methodology): “Periodic plot-based forest inventory and monitoring data are typically used in diameter increment or BAI modelling (Calama and Montero, 2005).”