Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco

Autores
Krylov, Alexander; Steininger, Marc K.; Hansen, Matthew C.; Potapov, Peter V.; Stehman, Stephen V.; Gost, Allison; Noel, Jacob; Talero Ramirez, Yamile; Tyukavina, Alexandra; Di Bella, Carlos Marcelo; Ellis, Edward A.; Ellis, Peter
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The neotropical-forest’s northern and southern extremes, covering the Mexican Yucatán and the Argentine Chaco, have among the highest rates of recent tree-cover loss in the biome. This study contrasts the character of loss in these regions, estimating proportions of types of loss and subsequent land cover. It is based on two-stage probability sampling design and field and satellite-image surveys. All estimates include uncertainties, which could be further reduced via model-assisted estimation or additional sampling. This approach can be replicated in other regions to estimate types of loss and associated land cover from a definitive, in-situ perspective. The character of loss in the two areas differed greatly. That in the Yucatán was 54% temporary, mostly under fallow or selectively logged, while that in the Chaco was 85% permanent, split nearly equally between crops and pasture. These data contribute to a quantitative basis for studies of socio-economic drivers of neotropical deforestation.
Fil: Krylov, Alexander. University of Maryland; Estados Unidos
Fil: Steininger, Marc K.. University of Maryland; Estados Unidos
Fil: Hansen, Matthew C.. University of Maryland; Estados Unidos
Fil: Potapov, Peter V.. University of Maryland; Estados Unidos
Fil: Stehman, Stephen V.. State University of New York; Estados Unidos
Fil: Gost, Allison. University of Maryland; Estados Unidos
Fil: Noel, Jacob. University of Maryland; Estados Unidos
Fil: Talero Ramirez, Yamile. University of Maryland; Estados Unidos
Fil: Tyukavina, Alexandra. University of Maryland; Estados Unidos
Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ellis, Edward A.. Universidad Veracruzana; México
Fil: Ellis, Peter. The Nature Conservancy. Global Lands; Estados Unidos
Materia
DEFORESTATION
MONITORING
REMOTE SENSING
SAMPLING DESIGN
TROPICAL FOREST
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/130063
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/130063
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine ChacoKrylov, AlexanderSteininger, Marc K.Hansen, Matthew C.Potapov, Peter V.Stehman, Stephen V.Gost, AllisonNoel, JacobTalero Ramirez, YamileTyukavina, AlexandraDi Bella, Carlos MarceloEllis, Edward A.Ellis, PeterDEFORESTATIONMONITORINGREMOTE SENSINGSAMPLING DESIGNTROPICAL FORESThttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4The neotropical-forest’s northern and southern extremes, covering the Mexican Yucatán and the Argentine Chaco, have among the highest rates of recent tree-cover loss in the biome. This study contrasts the character of loss in these regions, estimating proportions of types of loss and subsequent land cover. It is based on two-stage probability sampling design and field and satellite-image surveys. All estimates include uncertainties, which could be further reduced via model-assisted estimation or additional sampling. This approach can be replicated in other regions to estimate types of loss and associated land cover from a definitive, in-situ perspective. The character of loss in the two areas differed greatly. That in the Yucatán was 54% temporary, mostly under fallow or selectively logged, while that in the Chaco was 85% permanent, split nearly equally between crops and pasture. These data contribute to a quantitative basis for studies of socio-economic drivers of neotropical deforestation.Fil: Krylov, Alexander. University of Maryland; Estados UnidosFil: Steininger, Marc K.. University of Maryland; Estados UnidosFil: Hansen, Matthew C.. University of Maryland; Estados UnidosFil: Potapov, Peter V.. University of Maryland; Estados UnidosFil: Stehman, Stephen V.. State University of New York; Estados UnidosFil: Gost, Allison. University of Maryland; Estados UnidosFil: Noel, Jacob. University of Maryland; Estados UnidosFil: Talero Ramirez, Yamile. University of Maryland; Estados UnidosFil: Tyukavina, Alexandra. University of Maryland; Estados UnidosFil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ellis, Edward A.. Universidad Veracruzana; MéxicoFil: Ellis, Peter. The Nature Conservancy. Global Lands; Estados UnidosTaylor & Francis Ltd2018-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/130063Krylov, Alexander; Steininger, Marc K.; Hansen, Matthew C.; Potapov, Peter V.; Stehman, Stephen V.; et al.; Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco; Taylor & Francis Ltd; Journal of Land Use Science; 13; 6; 11-2018; 549-5641747-423X1747-4248CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/1747423X.2019.1569169info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/1747423X.2019.1569169info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:11:02Zoai:ri.conicet.gov.ar:11336/130063instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:11:02.714CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco
title Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco
spellingShingle Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco
Krylov, Alexander
DEFORESTATION
MONITORING
REMOTE SENSING
SAMPLING DESIGN
TROPICAL FOREST
title_short Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco
title_full Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco
title_fullStr Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco
title_full_unstemmed Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco
title_sort Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco
dc.creator.none.fl_str_mv Krylov, Alexander
Steininger, Marc K.
Hansen, Matthew C.
Potapov, Peter V.
Stehman, Stephen V.
Gost, Allison
Noel, Jacob
Talero Ramirez, Yamile
Tyukavina, Alexandra
Di Bella, Carlos Marcelo
Ellis, Edward A.
Ellis, Peter
author Krylov, Alexander
author_facet Krylov, Alexander
Steininger, Marc K.
Hansen, Matthew C.
Potapov, Peter V.
Stehman, Stephen V.
Gost, Allison
Noel, Jacob
Talero Ramirez, Yamile
Tyukavina, Alexandra
Di Bella, Carlos Marcelo
Ellis, Edward A.
Ellis, Peter
author_role author
author2 Steininger, Marc K.
Hansen, Matthew C.
Potapov, Peter V.
Stehman, Stephen V.
Gost, Allison
Noel, Jacob
Talero Ramirez, Yamile
Tyukavina, Alexandra
Di Bella, Carlos Marcelo
Ellis, Edward A.
Ellis, Peter
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv DEFORESTATION
MONITORING
REMOTE SENSING
SAMPLING DESIGN
TROPICAL FOREST
topic DEFORESTATION
MONITORING
REMOTE SENSING
SAMPLING DESIGN
TROPICAL FOREST
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv The neotropical-forest’s northern and southern extremes, covering the Mexican Yucatán and the Argentine Chaco, have among the highest rates of recent tree-cover loss in the biome. This study contrasts the character of loss in these regions, estimating proportions of types of loss and subsequent land cover. It is based on two-stage probability sampling design and field and satellite-image surveys. All estimates include uncertainties, which could be further reduced via model-assisted estimation or additional sampling. This approach can be replicated in other regions to estimate types of loss and associated land cover from a definitive, in-situ perspective. The character of loss in the two areas differed greatly. That in the Yucatán was 54% temporary, mostly under fallow or selectively logged, while that in the Chaco was 85% permanent, split nearly equally between crops and pasture. These data contribute to a quantitative basis for studies of socio-economic drivers of neotropical deforestation.
Fil: Krylov, Alexander. University of Maryland; Estados Unidos
Fil: Steininger, Marc K.. University of Maryland; Estados Unidos
Fil: Hansen, Matthew C.. University of Maryland; Estados Unidos
Fil: Potapov, Peter V.. University of Maryland; Estados Unidos
Fil: Stehman, Stephen V.. State University of New York; Estados Unidos
Fil: Gost, Allison. University of Maryland; Estados Unidos
Fil: Noel, Jacob. University of Maryland; Estados Unidos
Fil: Talero Ramirez, Yamile. University of Maryland; Estados Unidos
Fil: Tyukavina, Alexandra. University of Maryland; Estados Unidos
Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ellis, Edward A.. Universidad Veracruzana; México
Fil: Ellis, Peter. The Nature Conservancy. Global Lands; Estados Unidos
description The neotropical-forest’s northern and southern extremes, covering the Mexican Yucatán and the Argentine Chaco, have among the highest rates of recent tree-cover loss in the biome. This study contrasts the character of loss in these regions, estimating proportions of types of loss and subsequent land cover. It is based on two-stage probability sampling design and field and satellite-image surveys. All estimates include uncertainties, which could be further reduced via model-assisted estimation or additional sampling. This approach can be replicated in other regions to estimate types of loss and associated land cover from a definitive, in-situ perspective. The character of loss in the two areas differed greatly. That in the Yucatán was 54% temporary, mostly under fallow or selectively logged, while that in the Chaco was 85% permanent, split nearly equally between crops and pasture. These data contribute to a quantitative basis for studies of socio-economic drivers of neotropical deforestation.
publishDate 2018
dc.date.none.fl_str_mv 2018-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/130063
Krylov, Alexander; Steininger, Marc K.; Hansen, Matthew C.; Potapov, Peter V.; Stehman, Stephen V.; et al.; Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco; Taylor & Francis Ltd; Journal of Land Use Science; 13; 6; 11-2018; 549-564
1747-423X
1747-4248
CONICET Digital
CONICET
url http://hdl.handle.net/11336/130063
identifier_str_mv Krylov, Alexander; Steininger, Marc K.; Hansen, Matthew C.; Potapov, Peter V.; Stehman, Stephen V.; et al.; Contrasting tree-cover loss and subsequent land cover in two neotropical forest regions: sample-based assessment of the Mexican Yucatán and Argentine Chaco; Taylor & Francis Ltd; Journal of Land Use Science; 13; 6; 11-2018; 549-564
1747-423X
1747-4248
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1080/1747423X.2019.1569169
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/1747423X.2019.1569169
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis Ltd
publisher.none.fl_str_mv Taylor & Francis Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846782499598893056
score 12.982451

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