Regression Correlation Analysis between GBH and Carbon Stock of Major Tree Species in Dharoi Range, Gandhinagar Forest Division, India

Abstract

See, stats, and : https : / / www. researchgate. net / publication / 268280183 Regression and Dharoi , Gandhinagar , India Article DOI : 10 . 15680 / IJIRSET . 2014 . 0311007 READS 102 5 , including : Dharmesh Gujarat 3 SEE Chirag Gujarat 6 SEE Yogesh Gujarat 16 SEE Himanshu Gujarat 40 SEE All - text , letting . Available : Yogesh Retrieved : 22 ISSN : 2319 - 8753 ABSTRACT : Aim of this study is to analyse the regression correlation between GBH and Carbon stock in the major tree species of Dharoi Range , Gandhinagar Forest Division . Major ten dominant tree species in Dharoi range were selected for study . Total biomass and carbon sequestered in the major tree species have been estimated using non - destructive method . Based on this analysis and interpretation the allometric model is prepared which will be helpful to estimate carbon stock of major tree species by Girth at Breast Height (GBH) . Species like Anogeissus pendula Edgew , Acacia tortilis (Forsk) Hyne and Wrightia tinctoria R Br were dominant while Bauhinia racemosa Lam , Butea monosperma (Lam) Taub less in number . The maximum carbon stock estimated in Acacia tortilis (Forsk) Hyne , Anogeissus pendula Edgew , and Wrightia tinctoria R Br whereas Bauhinia racemosa Lam , Butea monosperma (Lam) Taub showed least carbon stock . On the basis of analysis the regression correlation between GBH and Carbon Stock is linear in Dharoi range for major tree species . On the basis of study following species showed a deviation from the correlation viz , Butea monosperma (Lam) Taub having very small ratio while Azadirachta indica A Juss having a very large ratio in the range . This shows that the species which having small ratio are poorly adapted to that particular ranges while the species shows large ratio are very well adapted to this range . The results are discussed in the context of their adaptive significance and use in determining suitability of the tree species for afforestation , forest regeneration and establishment of shelter belts to arrest deforestation .