Assessment of Aboveground Biomass and Temperature in the Tropical Rainforest of Malaysia
Ezzatul Farhain Azmi1, Nor Hafizah Hussin2, Sharifah Sakinah Syed Ahmad3, Rahaini Mohd Said4, Adam Samsudin5
1Ezzatul Farhain Azmi, Department of Mechanical Engineering Technology, Faculty of Mechanical and Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia.
2Nor Hafizah Hussin, Department of Electrical Engineering Technology, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia.
3Sharifah Sakinah Syed Ahmad, Department of Intelligent Computing and Analytics, Faculty of Information & Communication Technology, Universiti Teknologi Malaysia, Malaysia.
4Rahaini Mohd Said, Department of Electronic Engineering Technology, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia. Email:
5Adam Samsudin, Department of Electrical Engineering Technology, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 1888-1891 | Volume-8 Issue-12, October 2019. | Retrieval Number: L28751081219/2019©BEIESP | DOI: 10.35940/ijitee.L2875.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The relation between tropical rainforest to the climate variability is very important. This research aims to determine the relationship between aboveground biomass which prefer tree in the tropical rainforest and surrounding temperature. Diameter at breast height (DBH) of ten tree species and surrounding temperature collected data were taken to measure the correlation between the two variables by using statistical test. Furthermore, forest biomass estimation is also important towards the assessment of the productivity, structure and forest condition. The analysis in this research shows that simple linear regression model can be used to predict the future value of DBH for each species. The findings may help the reduction of greenhouse gas emissions with proper conservation and sustainable management.
Keywords: Correlation Analysis, Diameter at Breast Height (DBH), Linear Regression, Rainforest, Temperature.
Scope of the Article: Bio-Science and Bio-Technology