Abstract
The carbon present in the atmosphere is one of the main causes of global warming. However, vegetation is one of the most important carbon sinks and can be quantified through wood density. For this purpose, there are different invasive and non-invasive methodologies that use sophisticated, time-consuming and expensive equipment, but it is necessary to consider non-invasive, economical techniques that require less time. For this reason, this research aimed to i) compare the wood density obtained through the empirical method and water displacement and ii) demonstrate the validity of the empirical method as a methodology for measuring wood density for high Andean species. To perform the statistical analyses, it was necessary to group the species by growth habit (trees and shrubs), and all species were analyzed together. The comparison of means showed that wood densities did not show statistical differences (p value > 0.05), and linear regressions showed adjustments above 85% for tree, shrub and grouped species. This demonstrates the high similarity in wood density values. Previous research has found similar results to ours, and has also validated the empirical method in species from other latitudes. Based on the results of this study, it is suggested that the use of the empirical method is also suitable for measuring wood density in high Andean species. It is important to consider that this methodology reduces the work effort, time and even the use of equipment.
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