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

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.