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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
30/09/2014 |
Actualizado : |
31/05/2018 |
Tipo de producción científica : |
Documentos |
Autor : |
TERRA, J.A.; CASTILLO, J.; SALDAIN, N.; MARTINEZ, S.; BERMUDEZ, R.; HERNANDEZ, J.; MACEDO, I. |
Afiliación : |
JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EMILSE JESUS CASTILLO VELAZQUEZ, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; NESTOR ELIO SALDAIN CROCCE, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; SEBASTIAN MARTINEZ KOPP, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; RAUL ENRIQUE BERMUDEZ COQUARD, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; JORGE FABIAN HERNANDEZ FERREIRA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; IGNACIO MACEDO YAPOR, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Rotaciones arroceras: resumen de resultados productivos en las primeras zafras. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
En: INIA TREINTA Y TRES. Arroz-Soja: Resultados experimentales 2013-2014. Treinta y Tres (UY: INIA Treinta y Tres. |
Páginas : |
cap. 9. p. 22-24 |
Serie : |
(INIA Serie Actividades de Difusión; 735) |
ISSN : |
1688-9258 |
Idioma : |
Español |
Thesagro : |
ROTACION ARROZ-SOJA; SOJA; ZONA BAJA. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/3977/1/Ad-735-9Soja-22-24.pdf
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Marc : |
LEADER 00794naa a2200253 a 4500 001 1050710 005 2018-05-31 008 2014 bl uuuu u00u1 u #d 022 $a1688-9258 100 1 $aTERRA, J.A. 245 $aRotaciones arroceras$bresumen de resultados productivos en las primeras zafras.$h[electronic resource] 260 $c2014 300 $acap. 9. p. 22-24 490 $a(INIA Serie Actividades de Difusión; 735) 650 $aROTACION ARROZ-SOJA 650 $aSOJA 650 $aZONA BAJA 700 1 $aCASTILLO, J. 700 1 $aSALDAIN, N. 700 1 $aMARTINEZ, S. 700 1 $aBERMUDEZ, R. 700 1 $aHERNANDEZ, J. 700 1 $aMACEDO, I. 773 $tEn: INIA TREINTA Y TRES. Arroz-Soja: Resultados experimentales 2013-2014. Treinta y Tres (UY: INIA Treinta y Tres.
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Registro original : |
INIA Treinta y Tres (TT) |
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Biblioteca (s) : |
INIA Las Brujas; INIA Tacuarembó. |
Fecha actual : |
01/09/2020 |
Actualizado : |
02/09/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
RESQUÍN, F.; DUQUE-LAZO, J.; ACOSTA-MUÑÓZ, C.; RACHID, C.; CARRASCO-LETELIER, L.; NAVARRO-CERRILLO, R.M. |
Afiliación : |
JOSE FERNANDO RESQUIN PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOAQUÍN DUQUE-LAZO, E.T.S.I.A.M.-Dpto. de Ingeniería Forestal, Campus de Rabanales, Universidad de Córdoba, Córdoba, Spain; CRISTINA ACOSTA-MUÑÓZ, E.T.S.I.A.M.-Dpto. de Ingeniería Forestal, Campus de Rabanales, Universidad de Córdoba, Córdoba, Spain; ANA CECILIA RACHID CASNATI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAFAEL M. NAVARRO-CERRILLO, E.T.S.I.A.M.-Dpto. de Ingeniería Forestal, Campus de Rabanales, Universidad de Córdoba, Córdoba, Spain. |
Título : |
Modelling Current and Future Potential Habitats for Plantations of Eucalyptus grandis Hill ex Maiden and E. dunnii Maiden in Uruguay. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Forests, 2020, vol. 11, Issue 9, Article 948. OPEN ACCESS. Doi: https://doi.org/10.3390/f11090948 |
ISSN : |
eISSN 1999-4907 |
DOI : |
10.3390/f11090948 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 6 July 2020; Accepted: 24 August 2020; Published: 29 August 2020.
Supplementary material.
This article belongs to the Special Issue Modeling of Species Distribution and Biodiversity in Forests - https://www.mdpi.com/journal/forests/special_issues/Model_Species_Distribution_Biodiversity_Forest |
Contenido : |
ABSTRACT.
Eucalyptus grandis and E. dunnii have high productive potential in the South of Brazil, Uruguay, and central Argentina. This is based on the similarity of the climate and soil of these areas, which form an eco-region called Campos. However, previous results show that these species have dierences in their distribution caused by the prioritization of Uruguayan soils for forestry, explained by the particular conditions of each site. In this study, the site variables (climate, soil, and topography) that better explain the distribution of both species were identified, and prediction models of current and future distribution were adjusted for dierent climate change scenarios (years 2050 and 2070). The distribution of E. grandis was associated with soil parameters, whereas for E. dunnii a greater eect of the climatic variables was observed. The ensemble biomod2 model was the most precise with regard to predicting the habitat for both species with respect to the simple models evaluated. For E. dunnii, the average values of the AUC, Kappa, and TSS index were 0.98, 0.88, and 0.77, respectively. For E. grandis, their values were 0.97, 0.86, and 0.80, respectively. In the projections of climatic change, the distribution of E. grandis occurrence remains practically unchanged, even in the scenarios of temperature increase. However, current distribution of E. dunnii shows high susceptibility in a scenario of increased temperature, to the point that most of the area currently planted may be at risk. Our results might be useful to political government and foresters for decision making in terms of future planted areas.
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). MenosABSTRACT.
Eucalyptus grandis and E. dunnii have high productive potential in the South of Brazil, Uruguay, and central Argentina. This is based on the similarity of the climate and soil of these areas, which form an eco-region called Campos. However, previous results show that these species have dierences in their distribution caused by the prioritization of Uruguayan soils for forestry, explained by the particular conditions of each site. In this study, the site variables (climate, soil, and topography) that better explain the distribution of both species were identified, and prediction models of current and future distribution were adjusted for dierent climate change scenarios (years 2050 and 2070). The distribution of E. grandis was associated with soil parameters, whereas for E. dunnii a greater eect of the climatic variables was observed. The ensemble biomod2 model was the most precise with regard to predicting the habitat for both species with respect to the simple models evaluated. For E. dunnii, the average values of the AUC, Kappa, and TSS index were 0.98, 0.88, and 0.77, respectively. For E. grandis, their values were 0.97, 0.86, and 0.80, respectively. In the projections of climatic change, the distribution of E. grandis occurrence remains practically unchanged, even in the scenarios of temperature increase. However, current distribution of E. dunnii shows high susceptibility in a scenario of increased temperature, to the point that most of the area currently plan... Presentar Todo |
Palabras claves : |
Biomod2; Climatic change; Habitat; Species distribution models. |
Thesagro : |
EUCALYPTUS. |
Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14618/1/Resquin-2020.pdf
https://www.mdpi.com/1999-4907/11/9/948
https://www.mdpi.com/1999-4907/11/9/948/s1
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Marc : |
LEADER 03084naa a2200277 a 4500 001 1061288 005 2020-09-02 008 2020 bl uuuu u00u1 u #d 022 $aeISSN 1999-4907 024 7 $a10.3390/f11090948$2DOI 100 1 $aRESQUÍN, F. 245 $aModelling Current and Future Potential Habitats for Plantations of Eucalyptus grandis Hill ex Maiden and E. dunnii Maiden in Uruguay.$h[electronic resource] 260 $c2020 500 $aArticle history: Received: 6 July 2020; Accepted: 24 August 2020; Published: 29 August 2020. Supplementary material. This article belongs to the Special Issue Modeling of Species Distribution and Biodiversity in Forests - https://www.mdpi.com/journal/forests/special_issues/Model_Species_Distribution_Biodiversity_Forest 520 $aABSTRACT. Eucalyptus grandis and E. dunnii have high productive potential in the South of Brazil, Uruguay, and central Argentina. This is based on the similarity of the climate and soil of these areas, which form an eco-region called Campos. However, previous results show that these species have dierences in their distribution caused by the prioritization of Uruguayan soils for forestry, explained by the particular conditions of each site. In this study, the site variables (climate, soil, and topography) that better explain the distribution of both species were identified, and prediction models of current and future distribution were adjusted for dierent climate change scenarios (years 2050 and 2070). The distribution of E. grandis was associated with soil parameters, whereas for E. dunnii a greater eect of the climatic variables was observed. The ensemble biomod2 model was the most precise with regard to predicting the habitat for both species with respect to the simple models evaluated. For E. dunnii, the average values of the AUC, Kappa, and TSS index were 0.98, 0.88, and 0.77, respectively. For E. grandis, their values were 0.97, 0.86, and 0.80, respectively. In the projections of climatic change, the distribution of E. grandis occurrence remains practically unchanged, even in the scenarios of temperature increase. However, current distribution of E. dunnii shows high susceptibility in a scenario of increased temperature, to the point that most of the area currently planted may be at risk. Our results might be useful to political government and foresters for decision making in terms of future planted areas. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 650 $aEUCALYPTUS 653 $aBiomod2 653 $aClimatic change 653 $aHabitat 653 $aSpecies distribution models 700 1 $aDUQUE-LAZO, J. 700 1 $aACOSTA-MUÑÓZ, C. 700 1 $aRACHID, C. 700 1 $aCARRASCO-LETELIER, L. 700 1 $aNAVARRO-CERRILLO, R.M. 773 $tForests, 2020, vol. 11, Issue 9, Article 948. OPEN ACCESS. Doi: https://doi.org/10.3390/f11090948
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