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Resumen
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
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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 | Catalan, Germán | |
dc.contributor.author | Cayuela, Luis | |
dc.contributor.author | Fuentes Castillo, Taryn | |
dc.contributor.author | Hernández, Angela | |
dc.contributor.author | Martinez - Harms, María J. | |
dc.contributor.author | Peluso, Franco | |
dc.contributor.author | Prado, Marco | |
dc.contributor.author | Reyes - Rivero, 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.accessioned | 2023-10-27T09:45:30Z | |
dc.date.available | 2023-10-27T09:45:30Z | |
dc.date.issued | 2020-12-14 | |
dc.identifier.issn | 1748-9326 | |
dc.identifier.other | https://doi.org/10.1088/1748-9326/abca64 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/15707 | |
dc.identifier.uri | https://iopscience.iop.org/article/10.1088/1748-9326/abca64 | |
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 disaggregatio 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 increased carbon 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 | eng |
dc.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.publisher | IOP Publishing | es_AR |
dc.rights | info:eu-repo/semantics/openAccess | es_AR |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | es_AR |
dc.source | Environmental Research Letters 15 : 124055. (2020) | es_AR |
dc.subject | Remote Sensing | eng |
dc.subject | Teledetección | es_AR |
dc.subject | Land Use | eng |
dc.subject | Utilización de la Tierra | es_AR |
dc.subject | Land Cover Change | eng |
dc.subject | Alteración de la Cubierta Vegetal | es_AR |
dc.subject | Canopy | eng |
dc.subject | Cubierta de Copas | es_AR |
dc.subject | Forest Plantations | eng |
dc.subject | Plantación Forestal | es_AR |
dc.subject.other | Augmented Visual Interpretation | eng |
dc.subject.other | Interpretación Visual Aumentada | es_AR |
dc.title | Natural forests loss and tree plantations: Large - scale tree cover loss differentation in a threatened dioviversity hotspot. | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | es_AR |
dc.description.origen | Instituto de Clima y Agua | |
dc.description.fil | Fil: Altamirano, Adison. Universidad de La Frontera. Facultad de Ciencias Agropecuarias y Forestales. Landscape Ecology and Conservation Lab; Chile. Universidad de La Frontera. Facultad de Ciencias Agrarias y Forestales. Butamallin Research Center for Global Change; Chile | es_AR |
dc.description.fil | Fil. Miranda, Alejandro. Universidad de La Frontera. Facultad de Ciencias Agropecuarias y Forestales. Landscape Ecology and Conservation Lab; Chile. Universidad de Chile. Center for Climate and Resilience Research (CR2); Chile. | es_AR |
dc.description.fil | Fil: Aplin, Paul. University Ormskirk. Department of Geography and Geology; Reino Unido | es_AR |
dc.description.fil | Fil: Carrasco, Jaime. Universidad de Chile. Industrial Engineering Department; Chile. Complex Engineering System Institute—ISCI; Chile | es_AR |
dc.description.fil | Fil: Catalán, Germán. Universidad de La Frontera. Facultad de Ciencias Agropecuarias y Forestales. Landscape Ecology and Conservation Lab; Chile. Universidad de La Frontera. Facultad de Ciencias Agrarias y Forestales. Doctorado en Ciencias Agroalimentarias y Medioambiente; Chile | es_AR |
dc.description.fil | Fil: Cayuela Luis. Universidad Rey Juan Carlos. Department of Biology, Geology, Physics and Inorganic Chemistry; España | es_AR |
dc.description.fil | Fil: Fuentes-Castillo, Taryn. Pontificia Universidad Católica de Chile. Facultad de Historia, Geografía y Ciencia Política. Instituto de Geografía; Chile | es_AR |
dc.description.fil | Fil: Hernández, Angela. Centro de Investigación en Ecosistemas de la Patagonia (CIEP); Chile | es_AR |
dc.description.fil | Fil: Martínez-Harms, María J. Pontificia Universidad Católica de Chile. Center for Applied Ecology and Sustainability (CAPES); Chile | es_AR |
dc.description.fil | Fil: Peluso, Franco. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina | es_AR |
dc.description.fil | Fil: Prado, Marco. Universidad de La Frontera. Facultad de Ciencias Agropecuarias y Forestales. Landscape Ecology and Conservation Lab; Chile | es_AR |
dc.description.fil | Fil: Reyes - Riveros, Rosa. Universidad de La Frontera, Facultad de Ciencias Agropecuarias y Forestales, Landscape Ecology and Conservation Lab, Temuco, Chile; Universidad de La Frontera, Facultad de Ciencias Agropecuarias y Forestales, Doctorado en Ciencias Agroalimentarias y Medioambiente, Temuco, Chile | es_AR |
dc.description.fil | Fil: Van Holt, Tracy. New York University. Leonard N. Stern School of Business. Center for Sustainable Business; Estados Unidos | es_AR |
dc.description.fil | Fil: Vergara, Cristian. Universidad Católica de Temuco. Facultad de Recursos Naturales. Laboratorio de Planificación Territorial. Departamento de Ciencias Ambientales; Chile | es_AR |
dc.description.fil | Fil: Zamorano-Elgueta, Carlos. Universidad de Aysen; Chile | es_AR |
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 | es_AR |
dc.subtype | cientifico |
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