Title
Dynamics of forest loss in the southeast of the Peruvian Amazon: A case study in Madre de Dios
Other title
[Dinámica de la pérdida de bosques en el sureste de la Amazonia peruana: Un estudio de caso en Madre de Dios]
Date Issued
01 August 2021
Access level
open access
Resource Type
journal article
Author(s)
Alarcón Aguirre G.
Guevara Duarez F.M.
Rodríguez Achata L.
Gallegos Chacón L.E.
Garate-Quispe J.
Publisher(s)
Asociacion Espanola de Ecologia Terrestre
Abstract
The western Amazon, specifically the region of Madre de Dios, is known as the biodiversity capital of Peru and is globally recognized as one of the most biodiverse places on Earth. However, it has been threatening by a serious problem of forest loss. The main environmental threats are due to mismanagement of the territory that causes the concentration of land, agricultural expansion, livestock, gold mining, and uncontrolled economic exploitation. This study analyzes the dynamics of forest loss and changes in land use and cover between 1999-2018. Remote sensing techniques were used to quantify forest loss. Landsat 5 Thematic Mapper (TM) and 8 Operational Land Imagery (OLI). The images were processed using a supervised classification called Neural Net. The methodology includes validation procedures using field verification points and medium and high-resolution remote sensing images of different sensors (SPOT-5, PlanetScope, WorldView, and Drone). The results showed a forest loss of 1698.63 km2 during 1999-2018, with an annual deforestation rate of -0.21%, and an average forest loss of 59.28 km2/year. For changes from forests to other land use, we found the conversion of 841.41 km2 during 2014-2018. Our results indicate that agriculture is the most responsible for advancing deforestation (72.90%), while gold mining has a greater incidence in targeted sectors.
Volume
30
Issue
2
Number
2175
Language
Spanish
OCDE Knowledge area
Ecología
Ciencias del medio ambiente
Subjects
Scopus EID
2-s2.0-85115998640
Source
Ecosistemas
ISSN of the container
16972473
Sponsor(s)
Los autores agradecen al Vicerrectorado de Investigación (VRI) de la Universidad Nacional Amazónica de Madre de Dios (UNAMAD) por el financiamiento de la presente investigación, aprobada con resolución Nº010-2018-UNAMAD-VRI.
Sources of information:
Directorio de Producción Científica
Scopus