Abstrait

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

Dharmesh G. Jaiswal , Chirag N. Patel , Yogesh B. Patel , Archana U. Mankad , Himanshu A. Pandya

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 nondestructive 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