It is well known that methane (CH4) is emitted from soil, water and wetlands under anaerobic conditions through methanogenesis. CH4 is the final product of the anaerobic respiration of the microorganism methanogen. More recently, it has been shown that CH4 is also emitted by trees and if only the emissions from soil and water are measured the fluxes of CH4 in the ecosystem will be underestimated. Considering the emission from trees, the Amazon region greatly contributes to global emissions. To investigate if there is need for method development for measuring CH4 fluxes, the aim in this study was to statistically test the spatial and the short temporal variability of CH4 emissions from trees. This was done within and between two different seasons in three different plots in the Amazon basin during the year 2017. Samples of CH4 were collected using semi rigid chambers placed on tree stems. The samples were later analyzed in a laboratory environment using the Los Gatos Ultraportable Greenhouse Gas Analyzer (UGGA). For the statistical analysis non-parametric test were used, due to the non-parametric data. In this study, the result shows that the short temporal variability is not statistically significant in any of the three plots, but the short temporal variability is statistically significant between the two seasons. This tells us that it is of importance to collect samples during different seasons of the year when measuring CH4 emissions from trees. The spatial variability is statistically significant on all the three plots in both seasons. This tell us that it is important to collect samples from different heights of the tree stems when collecting CH4 samples regardless of the season.