ISSN: 2319-8753 International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 11, November 2014 DOI: 10.15680/IJIRSET.2014.0311007 Copyright to IJIRSET www.ijirset.com 17146 Regression Correlation Analysis between GBH and Carbon Stock of Major Tree Species in Dharoi Range, Gandhinagar Forest Division, India Dharmesh G. Jaiswal 1 , Chirag N. Patel 1 , Yogesh B. Patel 1 , Archana U. Mankad 2 , Himanshu A. Pandya 2 Research Scholar, Department of Botany, University School of Sciences, Gujarat University, Ahmedabad, India 1 Associate Professor, Department of Botany, University School of Sciences, Gujarat University, Ahmedabad, India 2 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. KEYWORDS: Regression Correlation, Girth at Breast Height, Carbon Sequestration, Allometric Model, I. INTRODUCTION With the growing danger of environmental pollution, energy crisis, loss of biological diversity and mismanagement of natural resources due to economic development needs of human civilization, the role of natural as well as planted forests is being increasingly felt for diverse intangible ecosystems services than the tangible economic goods. Consequently the dimensions of forest-based trades and international politics are shifting from timber-oriented focus toward the regional and global services like conservation of biological diversity, watershed values, ecotourism and mitigating climate changes [1]. Carbon sequestration is the process of removing excess carbon dioxide (CO 2 ) from the atmosphere. Plants store carbon for as long as they live, in terms of live biomass. Carbon sequestration is one of the most important environmental issue of this century and is an extensively researched topic in the recent past. A large number of studies have been carried out in various countries on the biomass factors or equations. Biomass studies have increased in recent years [2]. Trees perform important ecological function in sequestering carbon and reducing automobile pollution. The net save in carbon emissions that can be achieved by planting trees. Tree canopies provide a cooling effect on microclimate directly by shading the ground surface and indirectly through transpiration [3]. Carbon sequestration is the long term storage of carbon in oceans, soils, vegetation (especially forests), and geological formations. Global warming is undoubtedly one of the major environmental issues of this century. This phenomenon is global climate by increasing