Estimating tree crown model with multiple regression

Chang, Chung Weng (2008) Estimating tree crown model with multiple regression. Universiti Malaysia Sabah. (Unpublished)

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Abstract

Tree crown is solely responsible for the process of photosynthesis where it changes carbon dioxide to oxygen. Without these trees, our world will be full with carbon dioxide so trees are important in balancing the oxygen cycle. In this dissertation, we would like to estimate the volumetric crown biomass of Cinnamoum iners a tropical species. So 55 trees were taken as samples for this research where data of the height of tree, crown projected area and crown base height were taken to calculate the crown volume. All the data were taken from the cinnamomum trees in University Malaysia Sabah (UMS). The main objective is to find the best model using multiple regression (MR) where the equation can represent the growth of the crown. When doing the multiple regression, we would like to see whether the variable like crown length (in diameter), diameter at breast height (DBH), tree height, height of first branch and distance the nearest tree would affect the growth of the crown. It was found that these variables can give positive and negative effects to the crown volume. Besides that, this dissertation would also like to determine the maximum and minimum value of the crown volume so we can know to the optimum length of the crown radius a tree can grow.

Item Type: Academic Exercise
Uncontrolled Keywords: tree crown, biomass, Cinnamomum iners, multiple regression
Subjects: Q Science > QA Mathematics
Divisions: FACULTY > Faculty of Science and Natural Resources
Depositing User: Munira
Date Deposited: 10 Aug 2018 06:33
Last Modified: 10 Aug 2018 06:33
URI: http://eprints.ums.edu.my/id/eprint/20695

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