Eleven nonlinear height diameter models were fitted and developed for Pinus trees based on individual tree height and diameter at breast height data (n=300) collected from block Langate of Kashmir province in India. Fitting of height diameter models using non-linear least square regression showed that all the parameters across all models were significant. In order to test the predictive performance of the models 10- folded cross-validation technique was used in this study. Comparison of AIC, RMSE, ME and Ad-R2 values for the training and validation data showed that most of the non-linear HD models capture the height diameter relationships for Pinus trees. Validation results suggest that Naslund -2 HD model provide the best height predictions in case of Pinus tree.
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Author Name: M. Iqbal Jeelani, Manish Kr Sharma, Anil Bhat and Mansha Gul
URL: View PDF
Keywords: Height, Diameter, Cross validation, Pinus
ISSN: 2229-7278
EISSN: 2231-6434
EOI/DOI: 10.15740/HAS/IRJAES/9.2/331-33
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