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| 1. |  | Luchiari Junior, A.; Lima, M. A. de; Ferreira, C. J. Alves; Neves, M. Correa; Campanhola, C.; Luiz, A.J. Barreto Monitoreamento e avaliacao de impacto ambiental na agricultura ln: Viglizzo, E. ; Puignau, J.P. (eds.). Monitoreo ambiental y uso sustentable de las tierras del Cono Sur. Montevideo (Uruguay): IICA-PROCISUR, 1997. p13-21 (IICA-PROCISUR. Diálogo, 46)| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Salto Grande. |
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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 : |
02/05/2025 |
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Actualizado : |
02/05/2025 |
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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 : |
SIRI, P.; FEDRIGO, J. K.; POSSE, J.P.; BENÍTEZ, V.; HIRIGOYEN, A.; INGARAMO, L.; GONZÁLEZ BARRIOS, P. |
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Afiliación : |
P. SIRI, Departamento de Estadística, Biometría y Computación, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; J. K. FEDRIGO, Cenur del Noreste, Universidad de la República, Cerro Largo, Uruguay; JUAN PEDRO POSSE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ORCID: https://orcid.org/0009-0006-4940-5211; V. BENÍTEZ, Cenur del Noreste, Universidad de la República, Cerro Largo, Uruguay; ANDRES EDUARDO HIRIGOYEN DOMINGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ORCID: https://orcid.org/0000-0002-2116-1095; L. INGARAMO, Lumin Forest Products, LLC, Atlanta, Uruguay; P. GONZÁLEZ BARRIOS, Departamento de Estadística, Biometría y Computación, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay. |
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Título : |
Spatio-temporal modeling of eucalyptus and pinus intercropping systems: effects of weed control and row distance. |
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Fecha de publicación : |
2025 |
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Fuente / Imprenta : |
Agroforestry Systems, April 2025, Volume 99, Issue 4, article 84. https://doi.org/10.1007/s10457-025-01171-2 |
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ISSN : |
0167-4366 |
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DOI : |
10.1007/s10457-025-01171-2 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 16 September 2024, Accepted 5 March 2025, Published online 7 April 2025. -- Correspondence: González Barrios, P.; Departamento de Estadística, Biometría y Computación, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; email:pablog@fagro.edu.uy -- Funding: Agencia Nacional de Investigación e Innovación, POS_NAC_M_2020_1_163775. -- Publisher: Springer Science and Business Media B.V. |
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Contenido : |
ABSTRACT.- The global rise in afforestation highlights the need for improved forestry practices, underscoring the demand for enhanced management strategies and research. Integrated intercropping systems offer sustainable solutions, promoting biodiversity and ecosystem health. This research explored the long-term effects of weed control and row spacing on eucalyptus (Eucalyptus grandis) and pinus (Pinus taeda), intercropped with switchgrass (Panicum virgatum), within a Uruguayan setting. Using spatiotemporal mixed models, we aimed to improve experimental accuracy and understand the dynamics between stand growth and agroforestry management. Significant impacts of spacing and weed control were found on both wood volume per hectare and individual volume. Optimal results per hectare were achieved with a 7-m row spacing for both species at the hectare level, while a 12-m spacing was more favorable for individual tree sizes. Low and medium weed control affected per tree and hectare wood volume productivity. Significant differences in switchgrass productivity were found between high and low weed control in pinus. The use of spatiotemporal structures has resulted in a better fit for the models in all cases, and it is noteworthy to consider the heterogeneous variances over the years. This study underscores the value of spatiotemporal analysis in agroforestry experimentation, integrating heterogeneous structures with temporal dynamics. These insights advance agroforestry by optimizing productivity and sustainability, offering adaptable strategies for regions sharing similar environmental profiles. © The Author(s), under exclusive licence to Springer Nature B.V. 2025. MenosABSTRACT.- The global rise in afforestation highlights the need for improved forestry practices, underscoring the demand for enhanced management strategies and research. Integrated intercropping systems offer sustainable solutions, promoting biodiversity and ecosystem health. This research explored the long-term effects of weed control and row spacing on eucalyptus (Eucalyptus grandis) and pinus (Pinus taeda), intercropped with switchgrass (Panicum virgatum), within a Uruguayan setting. Using spatiotemporal mixed models, we aimed to improve experimental accuracy and understand the dynamics between stand growth and agroforestry management. Significant impacts of spacing and weed control were found on both wood volume per hectare and individual volume. Optimal results per hectare were achieved with a 7-m row spacing for both species at the hectare level, while a 12-m spacing was more favorable for individual tree sizes. Low and medium weed control affected per tree and hectare wood volume productivity. Significant differences in switchgrass productivity were found between high and low weed control in pinus. The use of spatiotemporal structures has resulted in a better fit for the models in all cases, and it is noteworthy to consider the heterogeneous variances over the years. This study underscores the value of spatiotemporal analysis in agroforestry experimentation, integrating heterogeneous structures with temporal dynamics. These insights advance agroforestry by optimizing ... Presentar Todo |
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Palabras claves : |
Agroforestry; Mixed models; SISTEMA FORESTAL - INIA; Stand management; Switchgrass; Wood volume. |
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Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
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Marc : |
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001 1065178
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100 1 $aSIRI, P.
245 $aSpatio-temporal modeling of eucalyptus and pinus intercropping systems$beffects of weed control and row distance.$h[electronic resource]
260 $c2025
500 $aArticle history: Received 16 September 2024, Accepted 5 March 2025, Published online 7 April 2025. -- Correspondence: González Barrios, P.; Departamento de Estadística, Biometría y Computación, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; email:pablog@fagro.edu.uy -- Funding: Agencia Nacional de Investigación e Innovación, POS_NAC_M_2020_1_163775. -- Publisher: Springer Science and Business Media B.V.
520 $aABSTRACT.- The global rise in afforestation highlights the need for improved forestry practices, underscoring the demand for enhanced management strategies and research. Integrated intercropping systems offer sustainable solutions, promoting biodiversity and ecosystem health. This research explored the long-term effects of weed control and row spacing on eucalyptus (Eucalyptus grandis) and pinus (Pinus taeda), intercropped with switchgrass (Panicum virgatum), within a Uruguayan setting. Using spatiotemporal mixed models, we aimed to improve experimental accuracy and understand the dynamics between stand growth and agroforestry management. Significant impacts of spacing and weed control were found on both wood volume per hectare and individual volume. Optimal results per hectare were achieved with a 7-m row spacing for both species at the hectare level, while a 12-m spacing was more favorable for individual tree sizes. Low and medium weed control affected per tree and hectare wood volume productivity. Significant differences in switchgrass productivity were found between high and low weed control in pinus. The use of spatiotemporal structures has resulted in a better fit for the models in all cases, and it is noteworthy to consider the heterogeneous variances over the years. This study underscores the value of spatiotemporal analysis in agroforestry experimentation, integrating heterogeneous structures with temporal dynamics. These insights advance agroforestry by optimizing productivity and sustainability, offering adaptable strategies for regions sharing similar environmental profiles. © The Author(s), under exclusive licence to Springer Nature B.V. 2025.
653 $aAgroforestry
653 $aMixed models
653 $aSISTEMA FORESTAL - INIA
653 $aStand management
653 $aSwitchgrass
653 $aWood volume
700 1 $aFEDRIGO, J. K.
700 1 $aPOSSE, J.P.
700 1 $aBENÍTEZ, V.
700 1 $aHIRIGOYEN, A.
700 1 $aINGARAMO, L.
700 1 $aGONZÁLEZ BARRIOS, P.
773 $tAgroforestry Systems, April 2025, Volume 99, Issue 4, article 84. https://doi.org/10.1007/s10457-025-01171-2
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