Limiting stand density and basal area projection models for even-aged Tecomella undulata plantations in a hot arid region of India

Abstract

This paper presents equations for estimating limiting stand density for T. undulata plantations grown in hot desert areas of Rajasthan State in India. Five different stand level basal area projection models, belonging to the path invariant algebraic difference form of a non-linear growth function, were also tested and compared. These models can be used to predict future basal area as a function of stand variables like dominant height and stem number per hectare and are necessary for reviewing different silvicultural treatment options. Data from 22 sample plots were used for modelling. An all possible growth intervals data structure was used. Both, qualitative and quantitative criteria were used to compare alternative models. The Akaike’s information criteria difference statistic was used to analyze the predictive ability of the models. Results show that the model proposed by Hui and Gadow performed best and hence this model is recommended for use in predicting basal area development in T. undulata plantations in the study area. The data used were not from thinned stands, and hence the models may be less accurate when used for predictions when natural mortality is very significant.

Keywords

model evaluation / path invariant algebraic difference form growth function / potential density / qualitative and quantitative criteria / Rajasthan

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