Estimación de estructura de bosque seco secundario o antropogénico y su producción de biomasa en el sur del Ecuador sitio Mangahurco

Abstract

Abstract: Biomass is an important parameter for environmental studies and for analyzing forest structure. However, its estimation faces limitations due to the costs associated with accessing LiDAR data. This study focuses on estimating the biomass of a dry forest located in Mangahurco, southern Ecuador, using a methodology that offers access to spatial data through images captured by a drone. With this alternative, the images were processed using Pix4D and Fusion software, and photogrammetric processes were used to obtain the forest structure characteristics. Using the processing results and data such as tree height (H), wood density (WD), and height to breast diameter (DBH), an allometric equation established for dry forests was applied. This equation indicates as a result estimated biomass values ​​that vary from 0 to 1,713 Mg for each individual tree and on average 2,236 Mg/ha for each hectare of the study area, which comprises 24 hectares of forest.