Prediction Models for Biomass, Volume, Carbon Stock and Carbon Dioxide Removal for Eucalyptus Hybrid Plantations in Punjab

作者：RK Luna, NS Thakur, Vijay Kumar · 发表于：Journal of Tree Sciences · 年份：2014 · 被引用次数：1 · 研究领域：Forest ecology and management、Forest Biomass Utilization and Management、Environmental Impact and Sustainability

The data from 53 trees with girth at breast ranging from 25 cm to 110 cm (17 diameter classes, 5 cm class interval) was collected to develop regression models to predict the biomass of different components and total tree, tree volume, carbon sequestered and CO2 removed 2 from the atmosphere. Out of ten linear and curvilinear models tested to find out the best fit prediction equation, curvilinear models have 2 found to be the best fit with coefficient of determination (R2) ranging 2 from 0.97 to 0.99. The high value of R showed that these models can be used to predict biomass (whole tree and different components), total tree volume, carbon sequestered and CO2 absorbed from the 2 atmosphere.