Biomass estimation equations for tropical deciduous and evergreen forests
by K.S. Murali, D.M. Bhat, N.H. Ravindranath
International Journal of Agricultural Resources, Governance and Ecology (IJARGE), Vol. 4, No. 1, 2005

Abstract: In this study, linear and non-linear regression equations were developed to estimate biomass of tropical forests along with estimates of goodness of fit and percentage of errors. Basal area, average height of trees and tree density data from published reports, were used to develop equations to estimate biomass of deciduous and evergreen forests. Basal area and height of trees are found to give high goodness of fit and low percentage of errors for deciduous forests. Generally, the coefficient of determination (r²) was low for evergreen forests, probably due to the presence of trees of different height in different canopies that may have different growth rates. The coefficient of determination was high and estimate of error was low for deciduous forests. Thus, the biomass estimate equations for deciduous forests are precise and therefore useful for field applications.

Online publication date: Thu, 10-Mar-2005

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Agricultural Resources, Governance and Ecology (IJARGE):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com