Underlying drivers of deforestation in the Peruvian amazon and the highland region of the Andes

Deforestation in Peru's Amazon and Andean regions is a critical environmental challenge with extensive economic, social, and ecological implications. The Amazon, known for its unparalleled biodiversity, has experienced the loss of approximately 100,000 hectares of forest over 34 years, primarily dri...

Descripción completa

Detalles Bibliográficos
Autores principales: Juarez, H., Pradel, W., Navarrete, C., Gutiérrez, D., Hualla, V., Vanegas, M., Sylvester, J., Castro, A.
Formato: Informe técnico
Publicado: 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/163176
_version_ 1855516988855549952
author Juarez, H.
Pradel, W.
Navarrete, C.
Gutiérrez, D.
Hualla, V.
Vanegas, M.
Sylvester, J.
Castro, A.
author_browse Castro, A.
Gutiérrez, D.
Hualla, V.
Juarez, H.
Navarrete, C.
Pradel, W.
Sylvester, J.
Vanegas, M.
author_facet Juarez, H.
Pradel, W.
Navarrete, C.
Gutiérrez, D.
Hualla, V.
Vanegas, M.
Sylvester, J.
Castro, A.
author_sort Juarez, H.
collection Repository of Agricultural Research Outputs (CGSpace)
description Deforestation in Peru's Amazon and Andean regions is a critical environmental challenge with extensive economic, social, and ecological implications. The Amazon, known for its unparalleled biodiversity, has experienced the loss of approximately 100,000 hectares of forest over 34 years, primarily driven by small-scale agricultural practices and artisanal mining. In the Andean region, the imperative to reconcile rural development with environmental conservation has resulted in land-use practices that fail to meet sustainability criteria. This study examines the underlying drivers of deforestation in the Peruvian Amazon and Andean region during the 2000–2020 period, highlighting the importance of understanding how climatic, economic, landscape, and demographic influences interact with regional dynamics to shape deforestation patterns. The methodology integrates spatial analysis and advanced statistical modeling, leveraging a dataset encompassing demographic, climatic, economic, and ecological predictors. Results reveal that in the Amazon, the aggregation index (25.7%), population dynamics (21.9%), and temperature (16%) were key drivers of deforestation, with agricultural expansion and landscape fragmentation playing prominent roles. Conversely, in the Andes, rainfall (41.3%) and temperature (20.1%) constituted the predominant factors, whilst the incorporation of proximate causes, such as agricultural land use, enhanced the explanatory capacity of models across both regions. Furthermore, the aggregation index demonstrated heterogeneous impacts, with higher fragmentation facilitating deforestation in some districts while reducing it in others. Spatiotemporal analyses highlighted persistent and emerging deforestation hot spots, notably in Madre de Dios and San Martín, which corresponded to distinct drivers such as mining and agriculture. These findings underscore the necessity of tailored conservation policies and interventions that address the specific socio-economic and ecological contexts of the Amazon and Andes.
format Informe técnico
id CGSpace163176
institution CGIAR Consortium
publishDate 2024
publishDateRange 2024
publishDateSort 2024
record_format dspace
spelling CGSpace1631762025-11-06T13:35:12Z Underlying drivers of deforestation in the Peruvian amazon and the highland region of the Andes Juarez, H. Pradel, W. Navarrete, C. Gutiérrez, D. Hualla, V. Vanegas, M. Sylvester, J. Castro, A. deforestation resource conservation machine learning land use Deforestation in Peru's Amazon and Andean regions is a critical environmental challenge with extensive economic, social, and ecological implications. The Amazon, known for its unparalleled biodiversity, has experienced the loss of approximately 100,000 hectares of forest over 34 years, primarily driven by small-scale agricultural practices and artisanal mining. In the Andean region, the imperative to reconcile rural development with environmental conservation has resulted in land-use practices that fail to meet sustainability criteria. This study examines the underlying drivers of deforestation in the Peruvian Amazon and Andean region during the 2000–2020 period, highlighting the importance of understanding how climatic, economic, landscape, and demographic influences interact with regional dynamics to shape deforestation patterns. The methodology integrates spatial analysis and advanced statistical modeling, leveraging a dataset encompassing demographic, climatic, economic, and ecological predictors. Results reveal that in the Amazon, the aggregation index (25.7%), population dynamics (21.9%), and temperature (16%) were key drivers of deforestation, with agricultural expansion and landscape fragmentation playing prominent roles. Conversely, in the Andes, rainfall (41.3%) and temperature (20.1%) constituted the predominant factors, whilst the incorporation of proximate causes, such as agricultural land use, enhanced the explanatory capacity of models across both regions. Furthermore, the aggregation index demonstrated heterogeneous impacts, with higher fragmentation facilitating deforestation in some districts while reducing it in others. Spatiotemporal analyses highlighted persistent and emerging deforestation hot spots, notably in Madre de Dios and San Martín, which corresponded to distinct drivers such as mining and agriculture. These findings underscore the necessity of tailored conservation policies and interventions that address the specific socio-economic and ecological contexts of the Amazon and Andes. 2024-12 2024-12-06T21:02:31Z 2024-12-06T21:02:31Z Report https://hdl.handle.net/10568/163176 Open Access application/pdf Juarez, H.; Pradel, W.; Navarrete, C.; Gutiérrez, D.; Hualla, V.; Vanegas, M.; Sylvester, J.; Castro, A. 2024. Underlying drivers of deforestation in the Peruvian amazon and the highland region of the Andes. International Potato Center. DOI: 10.4160/cip.2024.12.005
spellingShingle deforestation
resource conservation
machine learning
land use
Juarez, H.
Pradel, W.
Navarrete, C.
Gutiérrez, D.
Hualla, V.
Vanegas, M.
Sylvester, J.
Castro, A.
Underlying drivers of deforestation in the Peruvian amazon and the highland region of the Andes
title Underlying drivers of deforestation in the Peruvian amazon and the highland region of the Andes
title_full Underlying drivers of deforestation in the Peruvian amazon and the highland region of the Andes
title_fullStr Underlying drivers of deforestation in the Peruvian amazon and the highland region of the Andes
title_full_unstemmed Underlying drivers of deforestation in the Peruvian amazon and the highland region of the Andes
title_short Underlying drivers of deforestation in the Peruvian amazon and the highland region of the Andes
title_sort underlying drivers of deforestation in the peruvian amazon and the highland region of the andes
topic deforestation
resource conservation
machine learning
land use
url https://hdl.handle.net/10568/163176
work_keys_str_mv AT juarezh underlyingdriversofdeforestationintheperuvianamazonandthehighlandregionoftheandes
AT pradelw underlyingdriversofdeforestationintheperuvianamazonandthehighlandregionoftheandes
AT navarretec underlyingdriversofdeforestationintheperuvianamazonandthehighlandregionoftheandes
AT gutierrezd underlyingdriversofdeforestationintheperuvianamazonandthehighlandregionoftheandes
AT huallav underlyingdriversofdeforestationintheperuvianamazonandthehighlandregionoftheandes
AT vanegasm underlyingdriversofdeforestationintheperuvianamazonandthehighlandregionoftheandes
AT sylvesterj underlyingdriversofdeforestationintheperuvianamazonandthehighlandregionoftheandes
AT castroa underlyingdriversofdeforestationintheperuvianamazonandthehighlandregionoftheandes