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Generalized height-diameter models for Fagus orientalis Lipsky in Hyrcanian forest, Iran

Author

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  • K. Ahmadi

    (Department of Forestry, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran)

  • S.J. Alavi

    (Department of Forestry, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran)

Abstract

In this study, 39 generalized height-diameter prediction models were developed for Oriental beech (Fagus orientalis Lipsky) in the Hyrcanian forest in Iran. Data were collected from 75 permanent sample plots in uneven-aged stands of F. orientalis. A total of 1,067 individual tree height-diameter measurements were available for this study. For model testing a 10-fold cross validation method was used. The goodness of fit of the models was evaluated using six statistical measures including Akaike information criteria, Bayesian information criterion, root mean square error (RMSE), mean error, R2 and R2adj. Results showed that the R2 ranged from 0.62 to 0.78 and RMSE from 3.3 to 4.7 in the validation phase. Considering all the performance criteria, a model which uses DBH, dominant height, basal area per hectare and number of trees per hectare was found to be the best model to predict the height of Oriental beech from these data.

Suggested Citation

  • K. Ahmadi & S.J. Alavi, 2016. "Generalized height-diameter models for Fagus orientalis Lipsky in Hyrcanian forest, Iran," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 62(9), pages 413-421.
    • Handle: RePEc:caa:jnljfs:v:62:y:2016:i:9:id:51-2016-jfs
    DOI: 10.17221/51/2016-JFS
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    References listed on IDEAS

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    1. David L. Olson & Dursun Delen, 2008. "Advanced Data Mining Techniques," Springer Books, Springer, number 978-3-540-76917-0, January.
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