Citation
Wan Razali W. M., . and Abdul Razak T., . and Mohamad Azani A., . and Kamziah A. K., . Mixed-effects models for predicting early height growth of forest trees planted in Sarawak Malaysia. pp. 267-276. ISSN 0128-1283
Abstract
Total height growth models as a function of basal tree diameter at 10 cm above ground (D10) for five indigenous species in Sarawak namely Calophyllum sclerophyllum Dryobalanops beccarii Shorea mecistopteryx Shorea leprosula and Shorea brunnescens were developed using mixed-effects models. A mixed-effects model is an extension of a random-coefficient regression in which fixed-effect coefficients are included to account for variations between and correlations within tree species and is known to produce consistent estimates of the fixed coefficients and their standard errors. Linear nonlinear logistic and Chapman“Richards mixed-effects models were used to fit total tree height to D10. Species were treated as random-effect and D10 fixed-effect in the models. Based on smallest value of Akaike Information Criterion and Bayesian Information Criterion the linear model H (0 b0) (1b1) D10 indicated the best fit for all five species. Availability of height growth model helps in the early stage of species selection whereby height growth is a dominant factor in choosing a species for rehabilitation programme thus ensuring high species productivity and increased financial viability of the programme.
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Abstract
Total height growth models as a function of basal tree diameter at 10 cm above ground (D10) for five indigenous species in Sarawak namely Calophyllum sclerophyllum Dryobalanops beccarii Shorea mecistopteryx Shorea leprosula and Shorea brunnescens were developed using mixed-effects models. A mixed-effects model is an extension of a random-coefficient regression in which fixed-effect coefficients are included to account for variations between and correlations within tree species and is known to produce consistent estimates of the fixed coefficients and their standard errors. Linear nonlinear logistic and Chapman“Richards mixed-effects models were used to fit total tree height to D10. Species were treated as random-effect and D10 fixed-effect in the models. Based on smallest value of Akaike Information Criterion and Bayesian Information Criterion the linear model H (0 b0) (1b1) D10 indicated the best fit for all five species. Availability of height growth model helps in the early stage of species selection whereby height growth is a dominant factor in choosing a species for rehabilitation programme thus ensuring high species productivity and increased financial viability of the programme.
Additional Metadata
| Item Type: | Article |
|---|---|
| AGROVOC Term: | Forest trees |
| AGROVOC Term: | Calophyllum |
| AGROVOC Term: | Dryobalanops |
| AGROVOC Term: | Shorea |
| AGROVOC Term: | Timber |
| AGROVOC Term: | Forest rehabilitation |
| AGROVOC Term: | Seedlings |
| AGROVOC Term: | Planting |
| AGROVOC Term: | Mulching materials |
| AGROVOC Term: | Imperata cylindrica |
| Geographical Term: | Malaysia |
| Depositing User: | Ms. Suzila Mohamad Kasim |
| Last Modified: | 26 Apr 2025 14:47 |
| URI: | http://webagris.upm.edu.my/id/eprint/21550 |
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