A generalized height–diameter model including random components for radiata pine plantations in northwestern Spain

Castedo‐Dorado, Fernando; Diéguez-Aranda, Ulises; Barrio-Anta, Marcos; Rodríguez, Marina Sánchez; Gadow, Klaus von

doi:10.1016/j.foreco.2006.04.028

Cited by 150 publications

(51 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Some attributes that have a fixed effect on sample plots did not give much more additional information and could not achieve successful predictive performance results in calibration response (Castedo-Dorado et al, 2006). In the present study, the DBH and stump diameter of medium-size and the smallest subsampled trees showed the fixed effect between plots in forest areas and species studied.…”

Section: Discussioncontrasting

confidence: 73%

See 1 more Smart Citation

Mixed effect models for predicting breast height diameter from stump diameter of Oriental beech in Göldağ

Ercanlı

Günlü

Başkent

2015

Sci. agric. (Piracicaba, Braz.)

View full text Add to dashboard Cite

Diameter at breast height (DBH) is the simplest, most common and most important tree dimension in forest inventory and is closely correlated with wood volume, height and biomass. In this study, a number of linear and nonlinear models predicting diameter at breast height from stump diameter were developed and evaluated for Oriental beech (Fagus orientalis Lipsky) stands located in the forest region of Ayancık, in the northeast of Turkey. A set of 1,501 pairs of diameter at breast height-stump measurements, originating from 70 sample plots of even-aged Oriental beech stands, were used in this study. About 80 % of the otal data (1,160 trees in 55 sample plots) was used to fit a number of linear and nonlinear model parameters; the remaining 341 trees in 15 sample plots were randomly reserved for model validation and calibration response. The power model data set was found to produce the most satisfactory fits with the Ad-

show abstract

Section: Discussioncontrasting

confidence: 73%

“…al., 2009). In particular, the comprehensive formula and explanations for the BLUP equation can be obtained from the studies of Calama andMontero (2004) andCastedo Dorado et. al.…”

Section: Calibration Response Evaluationmentioning

confidence: 99%

Mixed effect models for predicting breast height diameter from stump diameter of Oriental beech in Göldağ

Ercanlı

Günlü

Başkent

2015

Sci. agric. (Piracicaba, Braz.)

View full text Add to dashboard Cite

show abstract

“…Tree height is a function of its diameter at breast height and it is natural that trees of the same diameters at breast height are of different heights [44][45][46][47]. In this study tree heights were not associated with their corresponding diameter based on height-daimeter equations (e.g.…”

Section: Discussionmentioning

confidence: 99%

Generating Virtual Even-Aged Silver Fir Stand Structure Based on the Measured Sample Plots

Beljan

Vedriš

Mikac

et al. 2016

SEEFOR

View full text Add to dashboard Cite

“…The introduction of random-effects parameters into the model enables modelling the variability detected for given phenomena among different subjects, after defining a common fixed functional structure (Calama & Montero 2004, Castedo-Dorado et al 2006, Schimidt et al 2011.…”

Section: Introductionmentioning

confidence: 99%

Site-specific height-diameter and stem volume equations for Lebombo-ironwood

Magalhães¹

2017

Ann. For. Res.

View full text Add to dashboard Cite

T.M. MagalhãesMagalhães T.M., 2017. Site-specific height-diameter and stem volume equations for Lebombo-ironwood. Ann. For. Res. 60(2): 297-312.Abstract. Height-diameter (H-D) and stem volume equations are indispensable tools for forest management and have a wide use in forestry, however they are lacking for Lebombo-ironwood. Based on a dataset of 1144 Lebombo-ironwood trees destructively measured for height and stem volume, H-D and stem volume models were fitted using mixed-effects and dummy variables models. Random-effects and dummy variables were the different growing sites, as they affect H-D relationships and therefore stem volume models. Different model forms were compared to each other with regard to the sources of errors. The error due to uncertainty in the model parameter estimates was insignificant for mixed-effects models, whilst the error due to model misspecification was relatively larger for dummy variables H-D functions when compared to the mixed-effects ones. However, both mixed-effects and dummy variables models were similar in terms of error due to residual variability around model prediction. Overall, mixed-effects and dummy variables models did not differ in terms of predictive ability and accuracy.

show abstract

A generalized height–diameter model including random components for radiata pine plantations in northwestern Spain

Cited by 150 publications

References 45 publications

Mixed effect models for predicting breast height diameter from stump diameter of Oriental beech in Göldağ

Mixed effect models for predicting breast height diameter from stump diameter of Oriental beech in Göldağ

Generating Virtual Even-Aged Silver Fir Stand Structure Based on the Measured Sample Plots

Site-specific height-diameter and stem volume equations for Lebombo-ironwood

Contact Info

Product

Resources

About