![Sample our Environment & Sustainability journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5935/TOC-Subject-Sample-2021-Environment-Sustainability.jpg"})
ABSTRACT
Parkia timoriana (DC.) Merr. is an economically important agroforestry tree species grown in home gardens and shifting cultivation areas throughout the North-eastern states of India. This study aimed to establish a best fit volume model to facilitate estimation of biomass and carbon stock of the species without destructive sampling. Stem volumes of 360 trees representing 12 populations were estimated, and the data were used to develop 19 volume models involving diameter at breast height (D) and height (H). These models were then subjected to statistical test, and then cross-validated to select the best fitting model. The coefficient of determination (R2), root mean square error (RMSE), mean absolute deviation (MAD) and Akaike’s Information Criterion (AIC) were used for model selection, and scattered plot with residuals along with paired t-test were used for validation of the resultant models. Among the models compared, V = 0.12500–2.40265D + 21.43248D2 was found to be the best using single independent variable (D), while V = 0.03177 + 1.032D2H was the best model among the models with two independent variables (D and H). These two models gave high accuracy and hence can be used for future referencing.
Acknowledgments
The first author (UT) gratefully acknowledges the financial support from University Grants Commission, New Delhi and Mizoram University (Award No. 2-5/Adm-1(Acad)/14/11564-69) and the third author (PT) to Department of Science & Technology, Government of India for grant of fellowship (Grant No. DST/INSPIRE Fellowship/2015/IF 150621 dated 11/01/2016) to conduct this study.