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Monsang Ng. Polbina, Upadhyay Keshav Kumar, Tripathi Shri Kant
Keywords:
n Magnolia champacan , Allometric equations, Aboveground biomass, Species specific models, Manipur
In this study, a best fit allometric equation was established for aboveground biomass estimation of Magnolia champaca (L.) Baill. ex Pierre using non-destruction method. Regression analysis was performed by assessing the statistical relationships of aboveground biomass (AGB) and dendrometric variables (e.g. DBH and tree height). The formulated equations were then subjected to statistics test to select the best fit model. Equations with the higher coefficient of determination (adjusted R2), lower value of root mean square error (RMSE), sum of square error (SSE), mean absolute deviation (MAD) and Akaike’s information criterion (AIC) were found best fitted. The relative errors of the observed and predicted AGB of the selected best fit models were used to determine the accuracy of the equations. The best fit allometric equation developed for magnolia species was lnAGB = − 2.1868 + 0.9145 (lnD2*H*WD) found as the most suitable with adjusted R2 of 0.884, RMSE of 0.2558, MAD of 0.175141, AIC of − 88.7259, and having low relative error (− 1.25%) compared to other equations. The developed regression model is highly significant (p < 0.001) and can be applied as a species-specific equation to estimate the biomass of Magnolia champaca for northeast India.
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We thank the Department of Science & Technology, New Delhi, Government of India, for providing financial assistance through a research project (No. DST/CCP/MRDP/193/2019). The first author expresses a gratitude to the Ministry of Tribal Affairs, Scholarship Division, Government of India for National Fellowship for ST candidates (Award No—201920-NFST-MAN-01079) for providing financial support to carry out this study. We acknowledge the Forest Department of Manipur and Department of Forestry, Mizoram University for their supports extended towards the completion of this study.