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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
13/06/2025 |
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Actualizado : |
13/06/2025 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
BAIETTO, A.; HIRIGOYEN, A.; MAÑANA, M.; RIZZO-MARTÍN, I.; GONZÁLEZ, A.; NAVARRO CERRILLO, R. |
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Afiliación : |
ANDRÉS BAIETTO, Forest Department, Faculty of Agronomy, University of the Republic, Montevideo 12900, Uruguay; Department of Forestry Engineering, University of Cordoba, Córdoba 14014, Spain; ANDRES EDUARDO HIRIGOYEN DOMINGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ORCID: https://orcid.org/0000-0002-2116-1095; MATÍAS MAÑANA, Forest Department, Faculty of Agronomy, University of the Republic, Montevideo 12900, Uruguay; IVÁN RIZZO-MARTÍN, Forest Department, Faculty of Agronomy, University of the Republic, Montevideo 12900, Uruguay; ALEJANDRO GONZÁLEZ, Soil and Water Department, Faculty of Agronomy, University of the Republic, Montevideo 12900, Uruguay; RAFAEL NAVARRO CERRILLO, Department of Forestry Engineering, University of Cordoba, Córdoba 14014, Spain. |
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Título : |
Modeling forest structural variables of Eucalyptus dunnii Maiden stands under short-rotation management using SAR, multispectral, soil-derived, and field-based data. |
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Fecha de publicación : |
2025 |
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Fuente / Imprenta : |
Forest Ecology and Management, 15 July 2025, Volume 588, 122759. https://doi.org/10.1016/j.foreco.2025.122759 |
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ISSN : |
0378-1127;eISSN: 1872-7042 |
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DOI : |
https://doi.org/10.1016/j.foreco.2025.122759 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 3 March 2025, Revised 21 April 2025, Accepted 22 April 2025, Available online 9 May 2025, Version of Record 9 May 2025. -- Corresponding author at: Forest Department, Faculty of Agronomy, University of the Republic, Montevideo 12900, Uruguay. E-mail address: abaietto@fagro.edu.uy (A. Baietto). -- Funding: This study was funded by the Agencia Nacional de Investigaci´on e Innovaci´on (ANII) and Forestal Oriental S.A. [POS_EXT_2023_1_174913] [FIICC_X_2022_1_173484]. -- Supporting information: Supplementary data associated with this article can be found in the online version at doi:10.1016/j.foreco.2025.122759 -- |
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Contenido : |
ABSTRACT.- The replacement of native grasslands with commercial Eucalyptus plantations has increased in South America. These plantations are typically managed under short rotation regimes for pulp production. Since afforestation can enhance carbon sequestration, the accurate estimation of structural variables at large scales is valuable for sustainable forest management. This study integrates synthetic aperture radar (SAR, Sentinel-1), multispectral (Sentinel-2), soil-derived (International Soil Reference and Information Centre), and field-based data to model structural variables in Eucalyptus dunnii plantations on forest-priority soils (Aquic Argiudolls and Typic Albaqualfs)
in Uruguay. © 2025 Elsevier B.V. |
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Palabras claves : |
Climate change; Intensive silviculture; Random forest; Remote sensing; SISTEMA FORESTAL - INIA. |
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Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
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Marc : |
LEADER 02337naa a2200277 a 4500
001 1065235
005 2025-06-13
008 2025 bl uuuu u00u1 u #d
022 $a0378-1127;eISSN: 1872-7042
024 7 $ahttps://doi.org/10.1016/j.foreco.2025.122759$2DOI
100 1 $aBAIETTO, A.
245 $aModeling forest structural variables of Eucalyptus dunnii Maiden stands under short-rotation management using SAR, multispectral, soil-derived, and field-based data.$h[electronic resource]
260 $c2025
500 $aArticle history: Received 3 March 2025, Revised 21 April 2025, Accepted 22 April 2025, Available online 9 May 2025, Version of Record 9 May 2025. -- Corresponding author at: Forest Department, Faculty of Agronomy, University of the Republic, Montevideo 12900, Uruguay. E-mail address: abaietto@fagro.edu.uy (A. Baietto). -- Funding: This study was funded by the Agencia Nacional de Investigaci´on e Innovaci´on (ANII) and Forestal Oriental S.A. [POS_EXT_2023_1_174913] [FIICC_X_2022_1_173484]. -- Supporting information: Supplementary data associated with this article can be found in the online version at doi:10.1016/j.foreco.2025.122759 --
520 $aABSTRACT.- The replacement of native grasslands with commercial Eucalyptus plantations has increased in South America. These plantations are typically managed under short rotation regimes for pulp production. Since afforestation can enhance carbon sequestration, the accurate estimation of structural variables at large scales is valuable for sustainable forest management. This study integrates synthetic aperture radar (SAR, Sentinel-1), multispectral (Sentinel-2), soil-derived (International Soil Reference and Information Centre), and field-based data to model structural variables in Eucalyptus dunnii plantations on forest-priority soils (Aquic Argiudolls and Typic Albaqualfs) in Uruguay. © 2025 Elsevier B.V.
653 $aClimate change
653 $aIntensive silviculture
653 $aRandom forest
653 $aRemote sensing
653 $aSISTEMA FORESTAL - INIA
700 1 $aHIRIGOYEN, A.
700 1 $aMAÑANA, M.
700 1 $aRIZZO-MARTÍN, I.
700 1 $aGONZÁLEZ, A.
700 1 $aNAVARRO CERRILLO, R.
773 $tForest Ecology and Management, 15 July 2025, Volume 588, 122759. https://doi.org/10.1016/j.foreco.2025.122759
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