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dc.contributor.author
Altamirano, Adison
dc.contributor.author
Miranda, Alejandro
dc.contributor.author
Aplin, Paul
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Carrasco, Jaime
dc.contributor.author
Catalán, Germán
dc.contributor.author
Cayuela, Luis
dc.contributor.author
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
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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
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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
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dc.subject.classification
Agricultura, Silvicultura y Pesca
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dc.subject.classification
CIENCIAS AGRÍCOLAS
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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
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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
dc.description.fil
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
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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
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