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Range Management and Agroforestry
Year : 2015, Volume : 36, Issue : 2
First page : ( 151) Last page : ( 155)
Print ISSN : 0971-2070. Online ISSN : 2249-5231.

Biomass estimation of Acacia catechu using statistical modelling

Deb D.*, Singh J. P., Chaurasia R. S.

ICAR-Indian Grassland and Fodder Research Institute, Jhansi-284003, India

*Corresponding author e-mail: debiasri@gmail.com

Online published on 29 January, 2016.

Abstract

Acacia catechu is a very dominant and popular fodder tree in the dry and semi-arid part of central India. The aim of the present study was to find out suitable predictor variables for total tree biomass relationship and to fit popular nonlinear models for the total biomass of Acacia catechu. The selection of sample sites were based on NDVI generated through IRSP6LISS-III imagery of four districts of Uttar Pradesh part of Bundelkhand namely Jhansi, Mahoba, Hamirpur and Lalitpur. The dataset contained 220 trees with DBH ranging from 3 cm to 49 cm. Correlation analysis between calculated total biomass and different biometric parameters of individual tree were first performed using CD, H, DBH and D2H as explanatory variables. The variable DBH was found to be highly correlated with the total biomass, hence models were fitted using DBH as independent variable. The nonlinear models tried in this study include Allometric, Gompertz, Logistic, Weibull and Chapman-Richards models. Independent datasets were used for construction and validation of models. The Gompertz model was found to be the best fit (R2=0.94, RMSE=57.2). The fitted model was then validated using model diagnostics and statistical validation techniques and tested with an independent dataset to see the accuracy of prediction.

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Keywords

Acacia catechu, Correlation, Fodder tree, Nonlinear models, Semi-arid region.

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