E3 Journal of Economics, Business and Entrepreneurship in the Community of Portuguese-Speaking Countries | 2026
Authors: Salas J.L.T.F.; Saira E.M.R.; Platero V.Y.; Delgado F.C.; Silva M.F.C.; Quiroga S.C.L.; De La Cruz K.M.L.
DOI: 10.29073/e3.v12i3.1086
Journal: E3 Journal of Economics, Business and Entrepreneurship in the Community of Portuguese-Speaking Countries
Year: 2026
Publisher: Ponteditora
Document Type: Article
Open Access: All Open Access; Gold Open Access
Cited by: 0
The purpose of this study is to identify and calculate the most precise conceivable spatial distribution area for Polylepis species in the Moquegua department. Despite the importance of Polylepis forests in the provision of services linked to human well-being, these are mainly threatened by the lack of knowledge that exists about them, that there are no studies available on the spatial distribution, surface and environmental variables that require for their normal development, for which they use the software ArcGIS 10.3, the method of predictive models of spatial distribution, the visual interpretation of these combined with Google Earth images and the field evaluations using control points, it has been determined that The surface of the forests is of 12 893.85 hectares distributed in the mountains, slopes and plains between 4225 to 5175 m asl. The analysis of the variables translates into a new image. It is a classification system. frequency of frosts, once high precipitations and steep slopes are required, observing the optimum conditions for their development, are the values calculated in where the largest forest surface is distributed, such as: Precipitation with values greater than 600 mm, the optimum climate is the sub humid and frigid, 54% of the relative humidity in most of the surface, geomorphologically better adapted to the media on the right side of the surface of the surface, geographically, emplaced and moderately steep and mainly in soils of the Inceptisol type. These are the characteristics of the ability to use. © 2026, Ponteditora. All rights reserved.
Characterization; Moquegua; Polylepis; SIG; Spatial distribution