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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
02/04/2020 |
Actualizado : |
02/04/2020 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); GRAS |
Afiliación : |
UNIDAD DE AGROCLIMA Y SISTEMAS DE INFORMACIÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Informe agroclimático 2020- Situación a Marzo. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2020. |
Páginas : |
4 p. |
Serie : |
(Informe Agroclimático; Año 15, No.3) |
Idioma : |
Español |
Notas : |
Equipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. |
Contenido : |
Contenido. Síntesis de la Situación Agroclimática de Marzo-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia -- Índice de Vegetación (IVDN) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Índice de Bienestar Hídrico (IBH) -- Agua No Retenida (ANR) -- Perspectivas Climáticas Abr-May-Jun elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Monitoreo de cultivos. Se encuentra disponible en la web del GRAS dentro del ítem "Monitoreo ambiental". Acceso directo es: http://www.inia.uy/gras/Monitoreo-Ambiental/Monitoreo-de-cultivos |
Palabras claves : |
AGROCLIMA; AGROCLIMATOLOGÍA; AGTECH; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICAS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2020; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SIMETRICO; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPORACION; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.inia.uy/Publicaciones/Documentos%20compartidos/Informe%20agroclimatico%20INIA-GRAS%20Marzo%20de%202020.pdf
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Marc : |
LEADER 02935nam a2200817 a 4500 001 1060977 005 2020-04-02 008 2020 bl uuuu u0uu1 u #d 100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA) 245 $aInforme agroclimático 2020- Situación a Marzo.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2020 300 $a4 p. 490 $a(Informe Agroclimático; Año 15, No.3) 500 $aEquipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. 520 $aContenido. Síntesis de la Situación Agroclimática de Marzo-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia -- Índice de Vegetación (IVDN) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Índice de Bienestar Hídrico (IBH) -- Agua No Retenida (ANR) -- Perspectivas Climáticas Abr-May-Jun elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Monitoreo de cultivos. Se encuentra disponible en la web del GRAS dentro del ítem "Monitoreo ambiental". Acceso directo es: http://www.inia.uy/gras/Monitoreo-Ambiental/Monitoreo-de-cultivos 650 $aAGROCLIMATOLOGIA 650 $aCAMBIO CLIMATICO 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aESTACIONES METEOROLOGICAS 650 $aESTRES HIDRICO 650 $aEVAPORACION 650 $aEVAPOTRANSPIRACION 650 $aHUMEDAD 650 $aHUMEDAD RELATIVA 650 $aLLUVIA 650 $aMETEOROLOGIA 650 $aPERSPECTIVAS 650 $aPLUVIOMETROS 650 $aPRONOSTICO DEL TIEMPO 650 $aSENSORES 650 $aSISTEMAS 650 $aSISTEMAS DE INFORMACION 650 $aSUELO 650 $aTEMPERATURA 650 $aTERMOMETROS 653 $aAGROCLIMA 653 $aAGROCLIMATOLOGÍA 653 $aAGTECH 653 $aBOLETIN AGROCLIMÁTICO 653 $aCARACTERIZACIÓN AGROCLIMÁTICA 653 $aDIRECCION VIENTO 653 $aESTACIONES AGROMETEOROLOGICAS 653 $aESTACIONES AUTOMATICAS 653 $aESTACIONES INIA 653 $aESTADO DEL TIEMPO 653 $aESTRÉS HÍDRICO 653 $aGRAFICAS AGROCLIMATICAS 653 $aGRAS 653 $aHELIOFANOGRAFO 653 $aINFORMACION SATELITAL 653 $aINFORME AGROCLIMÁTICO 2020 653 $aINUNDACIONES 653 $aLLUVIAS DIARIAS 653 $aMAXIMA 653 $aMEDIA 653 $aMINIMA 653 $aPANEL SOLAR 653 $aPERSPECTIVAS CLIMATICAS 653 $aPLUVIOMETRO 653 $aPRECIPITACION NACIONAL 653 $aPREVENCION HELADAS 653 $aPRONOSTICO 653 $aSENSOR 653 $aSIMETRICO 653 $aTANQUE A 653 $aTERMOCUPLAS 653 $aTERMOHIDROGRAFO 653 $aVARIABLES AGROCLIMATICAS 653 $aVELETA 700 1 $aGRAS
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Registro original : |
INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
20/06/2023 |
Actualizado : |
20/07/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
BALDASSINI, P.; BAETHGEN, W.; CAMBA SANS, G.; QUINCKE, A.; PRAVIA, V.; TERRA, J.A.; MACEDO, F.; PIÑEIRO, G.; PARUELO, J. |
Afiliación : |
PABLO BALDASSINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Argentina; WALTER E. BAETHGEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; International Research Institute for Climate and Society (IRI), Columbia Climate School, Columbia University, United States; GONZALO HERNÁN CAMBA SANS, Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Argentina; JUAN ANDRES QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO LIBER MACEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GERVASIO PIÑEIRO, Cátedra de Ecología, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Argentina; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Dpto. Métodos Cuantitativos y Sistemas de Información, Fac. Agronomía, LART IFEVA, Univ. Bs.As., CONICET, Bs.As. Argentina; IECA, Fac. Ciencias, IECA, UdelaR, Montevideo, Uruguay. |
Título : |
Carbon stocks and potential sequestration of Uruguayan soils. A road map to a comprehensive characterization of temporal and spatial changes to assess Carbon footprint. |
Complemento del título : |
Original research. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Frontiers in Sustainable Food Systems. 2023, Volume 7. https://doi.org/10.3389/fsufs.2023.1045734 |
DOI : |
10.3389/fsufs.2023.1045734 |
Idioma : |
Inglés |
Notas : |
Article history: Received 16 Sep 2022; Accepted 25 May 2023; Published 20 July 2023. -- Correspondence: Dr. Pablo Baldassini, Instituto Nacional de Investigación Agropecuaria, INIA La Estanzuela, Colonia, Uruguay. -- Edited by: Bruno José Rodrigues Alves, Brazilian Agricultural Research Corporation (EMBRAPA), Brazil. --
Reviewed by: Gerald Moser, University of Giessen; Germany Ernesto Viglizzo, Independent researcher, Santa Rosa, La Pampa, Argentina. --
This article is part of the Research Topic Finding Paths to Net-Zero Carbon in Climate-Smart Food Systems (https://www.frontiersin.org/research-topics/29787/finding-paths-to-net-zero-carbon-in-climate-smart-food-systems#articles ). -- FUNDING: This research was supported by agrant from ANII-CONICETIA_2021_4_04. -- License: This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). -- Supplementary material: The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fsufs.2023.1045734/full#supplementary-material |
Contenido : |
Carbon net emission is a critical aspect of the environmental footprint in agricultural systems. However, the alternatives to describe soil organic carbon (SOC) changes associated with different agricultural management practices/land uses are limited. Here we provide an overview of carbon (C) stocks of non-forested areas of Uruguay to estimate SOC changes for different soil units affected by accumulated effects of crop and livestock production systems in the last decades. For this, we defined levels based on SOC losses relative to the original (reference) SOC stocks: 25% or less, between 25% and 50%, and 50% or more. We characterized the reference SOC stocks using three approaches: (1) an equation to derive the potential SOC capacity based on the clay and fine silt soil content, (2) the DayCent model to estimate the SOC stocks based on climate, soil texture and C inputs from the natural grasslands of the area, (3) an estimate of SOC using a proxy derived from remote sensing data (i.e., the Ecosystem Services Supply Index) that accounts for differences in C inputs. Depending on the used reference SOC, the soil units had different distributions of SOC losses within the zones defined by the thresholds. As expected, the magnitude of SOC changes observed for the different soil units was related to the relative frequency of annual crops, however, the high variability observed along the gradient of land uses suggests a wide space for increasing SOC with agricultural management practices. The assessment of the C stock preserved (CSP) belowground and the potential for increasing C accumulation or sequestration (CAP) are critical components of the C footprint of a given system. Thus, we propose a methodological road map to derive indicators of CSP and CAP at the farm level combining both, biogeochemical simulation models and conceptual models based on remote sensing data. We recognize at least three critical issues that require scientific and political consensus to implement the use of this propose: (1) how to define reference C stocks, (2) how to estimate current C stocks over large areas and in heterogeneous agricultural landscapes, and (3) what is a reasonable/acceptable threshold of C stocks reduction. Copyright: © 2023 Baldassini, Baethgen, Camba Sans, Quincke, Pravia, Terra, Macedo, Piñeiro and Paruelo. MenosCarbon net emission is a critical aspect of the environmental footprint in agricultural systems. However, the alternatives to describe soil organic carbon (SOC) changes associated with different agricultural management practices/land uses are limited. Here we provide an overview of carbon (C) stocks of non-forested areas of Uruguay to estimate SOC changes for different soil units affected by accumulated effects of crop and livestock production systems in the last decades. For this, we defined levels based on SOC losses relative to the original (reference) SOC stocks: 25% or less, between 25% and 50%, and 50% or more. We characterized the reference SOC stocks using three approaches: (1) an equation to derive the potential SOC capacity based on the clay and fine silt soil content, (2) the DayCent model to estimate the SOC stocks based on climate, soil texture and C inputs from the natural grasslands of the area, (3) an estimate of SOC using a proxy derived from remote sensing data (i.e., the Ecosystem Services Supply Index) that accounts for differences in C inputs. Depending on the used reference SOC, the soil units had different distributions of SOC losses within the zones defined by the thresholds. As expected, the magnitude of SOC changes observed for the different soil units was related to the relative frequency of annual crops, however, the high variability observed along the gradient of land uses suggests a wide space for increasing SOC with agricultural management prac... Presentar Todo |
Palabras claves : |
Agricultural emissions; Carbon Sequestration; DAYCENT; Ecosystem services; Remote sensing; Soil Organic Carbon. |
Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
URL : |
https://www.frontiersin.org/articles/10.3389/fsufs.2023.1045734/pdf
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Marc : |
LEADER 04434naa a2200313 a 4500 001 1064201 005 2023-07-20 008 2023 bl uuuu u00u1 u #d 024 7 $a10.3389/fsufs.2023.1045734$2DOI 100 1 $aBALDASSINI, P. 245 $aCarbon stocks and potential sequestration of Uruguayan soils. A road map to a comprehensive characterization of temporal and spatial changes to assess Carbon footprint.$h[electronic resource] 260 $c2023 500 $aArticle history: Received 16 Sep 2022; Accepted 25 May 2023; Published 20 July 2023. -- Correspondence: Dr. Pablo Baldassini, Instituto Nacional de Investigación Agropecuaria, INIA La Estanzuela, Colonia, Uruguay. -- Edited by: Bruno José Rodrigues Alves, Brazilian Agricultural Research Corporation (EMBRAPA), Brazil. -- Reviewed by: Gerald Moser, University of Giessen; Germany Ernesto Viglizzo, Independent researcher, Santa Rosa, La Pampa, Argentina. -- This article is part of the Research Topic Finding Paths to Net-Zero Carbon in Climate-Smart Food Systems (https://www.frontiersin.org/research-topics/29787/finding-paths-to-net-zero-carbon-in-climate-smart-food-systems#articles ). -- FUNDING: This research was supported by agrant from ANII-CONICETIA_2021_4_04. -- License: This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). -- Supplementary material: The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fsufs.2023.1045734/full#supplementary-material 520 $aCarbon net emission is a critical aspect of the environmental footprint in agricultural systems. However, the alternatives to describe soil organic carbon (SOC) changes associated with different agricultural management practices/land uses are limited. Here we provide an overview of carbon (C) stocks of non-forested areas of Uruguay to estimate SOC changes for different soil units affected by accumulated effects of crop and livestock production systems in the last decades. For this, we defined levels based on SOC losses relative to the original (reference) SOC stocks: 25% or less, between 25% and 50%, and 50% or more. We characterized the reference SOC stocks using three approaches: (1) an equation to derive the potential SOC capacity based on the clay and fine silt soil content, (2) the DayCent model to estimate the SOC stocks based on climate, soil texture and C inputs from the natural grasslands of the area, (3) an estimate of SOC using a proxy derived from remote sensing data (i.e., the Ecosystem Services Supply Index) that accounts for differences in C inputs. Depending on the used reference SOC, the soil units had different distributions of SOC losses within the zones defined by the thresholds. As expected, the magnitude of SOC changes observed for the different soil units was related to the relative frequency of annual crops, however, the high variability observed along the gradient of land uses suggests a wide space for increasing SOC with agricultural management practices. The assessment of the C stock preserved (CSP) belowground and the potential for increasing C accumulation or sequestration (CAP) are critical components of the C footprint of a given system. Thus, we propose a methodological road map to derive indicators of CSP and CAP at the farm level combining both, biogeochemical simulation models and conceptual models based on remote sensing data. We recognize at least three critical issues that require scientific and political consensus to implement the use of this propose: (1) how to define reference C stocks, (2) how to estimate current C stocks over large areas and in heterogeneous agricultural landscapes, and (3) what is a reasonable/acceptable threshold of C stocks reduction. Copyright: © 2023 Baldassini, Baethgen, Camba Sans, Quincke, Pravia, Terra, Macedo, Piñeiro and Paruelo. 653 $aAgricultural emissions 653 $aCarbon Sequestration 653 $aDAYCENT 653 $aEcosystem services 653 $aRemote sensing 653 $aSoil Organic Carbon 700 1 $aBAETHGEN, W. 700 1 $aCAMBA SANS, G. 700 1 $aQUINCKE, A. 700 1 $aPRAVIA, V. 700 1 $aTERRA, J.A. 700 1 $aMACEDO, F. 700 1 $aPIÑEIRO, G. 700 1 $aPARUELO, J. 773 $tFrontiers in Sustainable Food Systems. 2023, Volume 7. https://doi.org/10.3389/fsufs.2023.1045734
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