Open Access Open Access  Restricted Access Subscription or Fee Access

Allometric Models for Estimating Biomass of Persea Bombycina Kost. Agroforestry Aystem of Assam

T. Upadhyay, P.P. Baruah

Abstract



The aim of this study was to develop a set of biomass prediction model that will enable the determination of total tree biomass of Persea bombycina plantation in Assam, using a non destructive method. For this, wood samples were taken from five different study sites and their biomass values were calculated. Efforts were made to establish the relationship between tree biomass and DBH (diameter at breast height) using both log transformed and untransformed values. Five site specific and one species specific models were developed separately using both log transformed and untransformed values of biomass and DBH. The site specific models showed good correlation with log transformed data whereas the general species specific model with the untransformed data. The degree of correlations varied from R2=0.22 to 0.956 for the log transformed data and 0.44 to 0.953 for the untransformed data. Similarly for the site specific models the R2 varied from 0.44 to 0.956 for the log transformed data and from0.832 to 0.953 for the untransformed data

Keywords


Biomass, Prediction, Correlation, Models, Log transformed, Specific.

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.