Title
Peruvian Amazon disappearing: Transformation of protected areas during the last two decades (2001–2019) and potential future deforestation modelling using cloud computing and MaxEnt approach
Date Issued
01 December 2021
Access level
metadata only access
Resource Type
journal article
Author(s)
Cotrina Sánchez A.
Bandopadhyay S.
Banerjee P.
Torres Guzmán C.
Oliva M.
Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas
Publisher(s)
Elsevier GmbH
Abstract
Despite several measures that have been taken to promote the conservation of the Peruvian Amazon, several reports exhibited that forest cover loss was still occurring. To combat against deforestation and landscape change, the Peru government has created Protected Areas (PAs) to maintain floral diversity, conserve forests and environmental services. Along with tremendous anthropogenic pressures, billions of dollars have been spent every year to promote and save the PAs, yet rigorous quantified evaluation and interpretation of such PAs are lacking. Considering such knowledge gap, we have quantified the forest loss under the PAs and their buffer areas over the last 20 years (2001–2019) have been performed using Google Earth Engine. Furthermore, the potential deforestation risk zones were identified using the Maximum Entropy based predictive modelling. Outcome showed that the forest cover losses within the PAs were 114,463 ha and 782,781 ha within the buffer zones in the last 20 years. Additionally, high deforestation risk zones were mainly found in the central and southwestern parts of the Peruvian Amazon and interestingly close to the navigable riverbanks. We have received high prediction accuracy (AUC 0.964) and further validated with high-resolution PlanetScope imageries. This study will be useful for policy interventions and conservation measures.
Volume
64
Language
English
OCDE Knowledge area
Ecología
Investigación climática
Subjects
Scopus EID
2-s2.0-85118174378
Source
Journal for Nature Conservation
ISSN of the container
16171381
Sources of information:
Directorio de Producción Científica
Scopus