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dc.contributor.author
Altamirano, Adison  
dc.contributor.author
Miranda, Alejandro  
dc.contributor.author
Aplin, Paul  
dc.contributor.author
Carrasco, Jaime  
dc.contributor.author
Catalán, Germán  
dc.contributor.author
Cayuela, Luis  
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Fuentes Castillo, Taryn  
dc.contributor.author
Hernández, Angela  
dc.contributor.author
Martínez Harms, María J.  
dc.contributor.author
Peluso, Franco  
dc.contributor.author
Prado, Marco  
dc.contributor.author
Reyes Riveros, Rosa  
dc.contributor.author
Van Holt, Tracy  
dc.contributor.author
Vergara, Cristian  
dc.contributor.author
Zamorano Elgueta, Carlos  
dc.contributor.author
Di Bella, Carlos Marcelo  
dc.date.available
2022-07-12T11:31:13Z  
dc.date.issued
2019-12-14  
dc.identifier.citation
Altamirano, Adison; Miranda, Alejandro; Aplin, Paul; Carrasco, Jaime; Catalán, Germán; et al.; Natural forests loss and tree plantations: Large-scale tree cover loss differentiation in a threatened biodiversity hotspot; IOP Publishing; Environmental Research Letters; 15; 12; 14-12-2019; 1-10  
dc.identifier.issn
1748-9326  
dc.identifier.uri
http://hdl.handle.net/11336/161823  
dc.description.abstract
Distinguishing between natural forests from exotic tree plantations is essential to get an accurate picture of the world's state of forests. Most exotic tree plantations support lower levels of biodiversity and have less potential for ecosystem services supply than natural forests, and differencing them is still a challenge using standard tools. We use a novel approach in south-central of Chile to differentiate tree cover dynamics among natural forests and exotic tree plantations. Chile has one of the world's most competitive forestry industry and the region is a global biodiversity hotspot. Our collaborative visual interpretation method combined a global database of tree cover change, remote sensing from high-resolution satellite images and expert knowledge. By distinguishing exotic tree plantation and natural forest loss, we fit spatially explicit models to estimate tree-cover loss across 40 millions of ha between 2000 and 2016. We were able to distinguish natural forests from exotic tree plantations with an overall accuracy of 99% and predicted forest loss. Total tree cover loss was continuous over time, and the disaggregation revealed that 1 549 909 ha of tree plantations were lost (mean = 96 869 ha year-1), while 206 142 ha corresponded to natural forest loss (mean = 12 884 ha year-1). Mostly of tree plantations lost returned to be plantation (51%). Natural forests were converted mainly (75%) to transitional land covers (e.g. shrubland, bare land, grassland), and an important proportion of these may finish as tree plantation. This replacement may undermine objectives of increasedcarbon storage and biodiversity. Tree planting as a solution has gained increased attention in recen years with ambitious commitments to mitigate the effects of climate change. However, negative outcomes for the environment could result if strategies incentivize the replacement of natural forests into other land covers. Initiatives to reduce carbon emissions should encourage differentiating natural forests from exotic tree plantations and pay more attention on protecting and managing sustainably the former.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
IOP Publishing  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
AUGMENTED VISUAL INTERPRETATION  
dc.subject
FOREST PLANTATION  
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LAND USE AND LAND COVER CHANGE  
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REMOTE SENSING  
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TREE COVER  
dc.subject.classification
Agricultura  
dc.subject.classification
Agricultura, Silvicultura y Pesca  
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CIENCIAS AGRÍCOLAS  
dc.title
Natural forests loss and tree plantations: Large-scale tree cover loss differentiation in a threatened biodiversity hotspot  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-07-07T13:34:39Z  
dc.identifier.eissn
1748-9326  
dc.journal.volume
15  
dc.journal.number
12  
dc.journal.pagination
1-10  
dc.journal.pais
Reino Unido  
dc.description.fil
Fil: Altamirano, Adison. Universidad de La Frontera; Chile  
dc.description.fil
Fil: Miranda, Alejandro. Universidad de La Frontera; Chile. Universidad de Chile; Chile  
dc.description.fil
Fil: Aplin, Paul. Edge Hill University; Reino Unido  
dc.description.fil
Fil: Carrasco, Jaime. Universidad de Chile; Chile  
dc.description.fil
Fil: Catalán, Germán. Universidad de La Frontera; Chile  
dc.description.fil
Fil: Cayuela, Luis. Universidad Rey Juan Carlos; España  
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Fil: Fuentes Castillo, Taryn. Pontificia Universidad Católica de Chile; Chile  
dc.description.fil
Fil: Hernández, Angela. Centro de Investigación en Ecosistemas de la Patagonia; Chile  
dc.description.fil
Fil: Martínez Harms, María J.. Pontificia Universidad Católica de Chile; Chile  
dc.description.fil
Fil: Peluso, Franco. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina  
dc.description.fil
Fil: Prado, Marco. Universidad de La Frontera; Chile  
dc.description.fil
Fil: Reyes Riveros, Rosa. Universidad de La Frontera; Chile  
dc.description.fil
Fil: Van Holt, Tracy. New York University; Estados Unidos  
dc.description.fil
Fil: Vergara, Cristian. Universidad Católica de Temuco; Chile  
dc.description.fil
Fil: Zamorano Elgueta, Carlos. Universidad de Aysén; Chile  
dc.description.fil
Fil: Di Bella, Carlos Marcelo. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.journal.title
Environmental Research Letters  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://iopscience.iop.org/article/10.1088/1748-9326/abca64  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1088/1748-9326/abca64