%0 Journal Article
	%A Abdullahi Jibrin and  Aishetu Abdulkadir
	%D 2015
	%J International Journal of Geological and Environmental Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 100, 2015
	%T Allometric Models for Biomass Estimation in Savanna Woodland Area, Niger State, Nigeria
	%U https://publications.waset.org/pdf/10000945
	%V 100
	%X The development of allometric models is crucial to
accurate forest biomass/carbon stock assessment. The aim of this
study was to develop a set of biomass prediction models that will
enable the determination of total tree aboveground biomass for
savannah woodland area in Niger State, Nigeria. Based on the data
collected through biometric measurements of 1816 trees and
destructive sampling of 36 trees, five species specific and one site
specific models were developed. The sample size was distributed
equally between the five most dominant species in the study site
(Vitellaria paradoxa, Irvingia gabonensis, Parkia biglobosa,
Anogeissus leiocarpus, Pterocarpus erinaceous). Firstly, the
equations were developed for five individual species. Secondly these
five species were mixed and were used to develop an allometric
equation of mixed species. Overall, there was a strong positive
relationship between total tree biomass and the stem diameter. The
coefficient of determination (R2 values) ranging from 0.93 to 0.99 P
< 0.001 were realised for the models; with considerable low standard
error of the estimates (SEE) which confirms that the total tree above
ground biomass has a significant relationship with the dbh. F-test
values for the biomass prediction models were also significant at p <
0.001 which indicates that the biomass prediction models are valid.
This study recommends that for improved biomass estimates in the
study site, the site specific biomass models should preferably be used
instead of using generic models.

	%P 283 - 291