Local Volume Equations and Tables for two Forest Management Units in Bhutan: An Attempt to Provide FMU Specific Estimate of Timber Volume for Sustainable Forest ManagementPhuntsho, Younten .; Tshering , Lha .; Wangdi, Dorji .;
This study attempted to develop local volume equations and tables for Lingmethang and Rongmanchu Forest Management Units. The field work was conducted between December, 2019 and January 2020. Data was collected for five species (Schima sp., Ltihocarpus sp., Acrocarpus fraxinifolius, Pinus roxburghii and Castanopsis tribuloides) for Lingmethang FMU and six species (Beilschmedia sp., Persea sp., Quercus sp., Alnus nepalensis, Schima wallichii and Cinnamomum sp.) of trees for Rongmanchu FMU. The height and diameter over bark were measured for every sample trees. Using the height and diameter, volumes for each sample tree was calculated and then the models generated were fitted with a minimum of 32 trees per species destructively felled for the purpose. The models were run in R version 3.4.4. A total of 16 models were fitted and tested for each species. The selected models performed well with small deviation for individual trees.
KeywordsAkaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Model performance, local volume equations
Acquah, H., and Carlo, M. (2010). Comparison of Akaike information criterion (AIC) and Bayesian information criterion (BIC) in selection of an asymmetric price relationship. Journal of Development and Agricultural Economics, 2(1), 1-6.
Brickell, J.E. (1984). Stem Analysis: A Conventional Approach to Volume Determination. Paper presented at the Growth and Yield and Other Mensurational Tricks, Logan, Utah.
Goulding, C. (1979). Cubic spline curves and calculation of volume of sectionally measured trees. NZJ For. Sci, 9(1), 89-99.
Laumans, P. (1994). Height-diameter functions from PIS for country-level site classification and local volume table selection. Thimphu.
Phuntsho, Y., Wangdi, D., Yangden, K., Gregoire, T. G., and Chettri, Y. (2019). Development of Regression Models for Estimating Volume: An Essential Component for Biomass Carbon Stock Estimation in the Context of REDD+. Indian Forester, 145(9), 785-793.
Sadiq, R.A. (2006). A new approach to log volume estimation. Southern Journal of Applied Forestry, 30(1), 30-39. DOI: 10.1093/sjaf/30.1.30.
Steson, L. and Sally, A. (2015). To transform or not to transform: using generalized linear mixed models to analyse reaction time data. Frontiers in Psychology, 6:1171. DOI: https://doi.org/10.3389/fpsyg.2015.01171.
Umunay, P., Gregoire, T., and Ashton, M. (2017). Estimating biomass and carbon for Gilbertiodendron dewevrei (De Wild) Leonard, a dominant canopy tree of African tropical Rainforest: Implications for policies on carbon sequestration. Forest Ecology and Management, 404, 31-44. DOI: https://doi.org/10.1016/j.foreco.2017.08.020