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Biblioteca (s) : |
INIA Las Brujas; INIA Tacuarembó. |
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Fecha : |
28/10/2016 |
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Actualizado : |
31/03/2017 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
KANTER, D.R.; SCHWOOB, M-H.; BAETHGEN, W.E.; BERVEJILLO, J.E.; CARRIQUIRY, M.; DOBERMANN, A.; FERRARO, B.; LANFRANCO, B.; MONDELLI, M.; PENENGO, C.; SALDIAS, R.; SILVA, M.E.; SOARES DE LIMA, J.M. |
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Afiliación : |
DAVIR R. KANTER, Department of Environmental Studies, New York University; MARIE-HÉLENE SCHWOOB, Institute for Sustainable Development and International Relations (IDDRI); WALTER E. BAETHGEN, International Research Institute for Climate and Society (IRI), Earth Institute, Columbia University; JOSÉ E. BERVEJILLO, MGAP (Ministerio Ganadería Agricultura y Pesca de Uruguay); MIGUEL CARRIQUIRY, Universidad de la República (UdelaR)/ Facultad de Ciencias Económicas; ACHIM DOBERMANN, Rothamsted Research, UK; BRUNO FERRARO ALBERTONI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRUNO ANTONIO LANFRANCO CRESPO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIO MONDELLI, MGAP (Ministerio Ganadería Agricultura y Pesca de Uruguay); CECILIA PENENGO, International Research Institute for Climate and Society (IRI), Earth Institute, Columbia University; RODRIGO NOEL SALDIAS SPINETTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARÍA EUGENIA SILVA, MGAP (Ministerio Ganadería Agricultura y Pesca de Uruguay); JUAN MANUEL SOARES DE LIMA LAPETINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Translating the sustainable development goals into action: A participatory backcasting approach for developing national agricultural transformation pathways. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
Global Food Security, 2016, v.10, no.1, p. 71-79. |
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DOI : |
10.1016/j.gfs.2016.08.002 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 1 February 2016; Accepted 5 August 2016. |
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Contenido : |
ABSTRACT.
A new set of objectives for sustainable development are now in place, known as the Sustainable Development Goals (SDGs), and countries need to develop concrete policy roadmaps to achieve them. This is particularly challenging in the agricultural sector given the heterogeneity of local conditions, the diffuse nature of its environmental impacts, and the important interactions with various aspects of sustainable development ? from education and poverty alleviation, to human health and the environment. nd yet it is precisely because of these interactions that vibrant, resilient and sustainable national agricultural sectors are key to the SDGs? success. This paper presents a practical backcasting approach
and methodological toolkit ? developed by the Agricultural Transformation Pathways (ATP) initiative under the auspices of the Sustainable Development Solutions Network (SDSN) ? for countries to develop policy roadmaps towards 2030 using local tools and expertise that could help transform national agricultural sectors in a way that is consistent with the SDGs. This approach is illustrated using the Uruguayan beef sector as a case study, where productivity and environmental targets were developed in tandem with a wide range of stakeholders in order to maximize productivity, while minimizing a suite of environmental impacts ? from carbon footprint and biodiversity, to nitrogen losses. This marks the beginning of a new approach to achieving the SDGs in the agricultural sector: participatory target setting and pathway development across a number of areas crucial to sustainable development ? all under a harmonized framework provided by the ATP initiative. We hope the methodological approach and results of the Uruguay case study will become a touchstone for future work in this area.
@ 2016 Published by Elsevier B.V MenosABSTRACT.
A new set of objectives for sustainable development are now in place, known as the Sustainable Development Goals (SDGs), and countries need to develop concrete policy roadmaps to achieve them. This is particularly challenging in the agricultural sector given the heterogeneity of local conditions, the diffuse nature of its environmental impacts, and the important interactions with various aspects of sustainable development ? from education and poverty alleviation, to human health and the environment. nd yet it is precisely because of these interactions that vibrant, resilient and sustainable national agricultural sectors are key to the SDGs? success. This paper presents a practical backcasting approach
and methodological toolkit ? developed by the Agricultural Transformation Pathways (ATP) initiative under the auspices of the Sustainable Development Solutions Network (SDSN) ? for countries to develop policy roadmaps towards 2030 using local tools and expertise that could help transform national agricultural sectors in a way that is consistent with the SDGs. This approach is illustrated using the Uruguayan beef sector as a case study, where productivity and environmental targets were developed in tandem with a wide range of stakeholders in order to maximize productivity, while minimizing a suite of environmental impacts ? from carbon footprint and biodiversity, to nitrogen losses. This marks the beginning of a new approach to achieving the SDGs in the agricultural... Presentar Todo |
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Palabras claves : |
AGRICULTURE; BACKCASTING; SUSTAINABLE DEVELOPMENT GOALS; TRANSFORMATION PATHWAYS. |
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Thesagro : |
DESARROLLO SOSTENIBLE; URUGUAY. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02999naa a2200361 a 4500
001 1055951
005 2017-03-31
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1016/j.gfs.2016.08.002$2DOI
100 1 $aKANTER, D.R.
245 $aTranslating the sustainable development goals into action$bA participatory backcasting approach for developing national agricultural transformation pathways.$h[electronic resource]
260 $c2016
500 $aArticle history: Received 1 February 2016; Accepted 5 August 2016.
520 $aABSTRACT. A new set of objectives for sustainable development are now in place, known as the Sustainable Development Goals (SDGs), and countries need to develop concrete policy roadmaps to achieve them. This is particularly challenging in the agricultural sector given the heterogeneity of local conditions, the diffuse nature of its environmental impacts, and the important interactions with various aspects of sustainable development ? from education and poverty alleviation, to human health and the environment. nd yet it is precisely because of these interactions that vibrant, resilient and sustainable national agricultural sectors are key to the SDGs? success. This paper presents a practical backcasting approach and methodological toolkit ? developed by the Agricultural Transformation Pathways (ATP) initiative under the auspices of the Sustainable Development Solutions Network (SDSN) ? for countries to develop policy roadmaps towards 2030 using local tools and expertise that could help transform national agricultural sectors in a way that is consistent with the SDGs. This approach is illustrated using the Uruguayan beef sector as a case study, where productivity and environmental targets were developed in tandem with a wide range of stakeholders in order to maximize productivity, while minimizing a suite of environmental impacts ? from carbon footprint and biodiversity, to nitrogen losses. This marks the beginning of a new approach to achieving the SDGs in the agricultural sector: participatory target setting and pathway development across a number of areas crucial to sustainable development ? all under a harmonized framework provided by the ATP initiative. We hope the methodological approach and results of the Uruguay case study will become a touchstone for future work in this area. @ 2016 Published by Elsevier B.V
650 $aDESARROLLO SOSTENIBLE
650 $aURUGUAY
653 $aAGRICULTURE
653 $aBACKCASTING
653 $aSUSTAINABLE DEVELOPMENT GOALS
653 $aTRANSFORMATION PATHWAYS
700 1 $aSCHWOOB, M-H.
700 1 $aBAETHGEN, W.E.
700 1 $aBERVEJILLO, J.E.
700 1 $aCARRIQUIRY, M.
700 1 $aDOBERMANN, A.
700 1 $aFERRARO, B.
700 1 $aLANFRANCO, B.
700 1 $aMONDELLI, M.
700 1 $aPENENGO, C.
700 1 $aSALDIAS, R.
700 1 $aSILVA, M.E.
700 1 $aSOARES DE LIMA, J.M.
773 $tGlobal Food Security, 2016$gv.10, no.1, p. 71-79.
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
04/11/2022 |
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Actualizado : |
04/11/2022 |
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Tipo de producción científica : |
Informes Agroclimáticos |
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Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); GRAS |
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Afiliación : |
UNIDAD DE AGROCLIMA Y SISTEMAS DE INFORMACIÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Informe agroclimático 2022- Situación a Octubre. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Montevideo (UY): INIA, 2022. |
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Páginas : |
6 p. |
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Serie : |
(Informe Agroclimático; Año 17, No.10) |
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Idioma : |
Español |
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Notas : |
Equipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. |
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Contenido : |
Contenido. Síntesis de la Situación Agroclimática de Octubre-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de Vegetación (NDVI) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Agua No Retenida (ANR) -- Índice de Bienestar Hídrico (IBH) -- Perspectivas Climáticas Nov-Dic-Ene elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Pronóstico de DON en trigo. Mapas nacionales mostrando la estimación de cantidad de DON en trigo a cosecha. Link directo: http://www.inia.uy/gras/Alertas-y-herramientas/Pron%C3%B3stico-DON-para-trigo- |
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Palabras claves : |
AGTECH; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; GRAFICAS AGROCLIMATICAS; GRAS; INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2022; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
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Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SISTEMAS DE INFORMACION GEOGRAFICOS; TEMPERATURA; TERMOMETROS. |
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Asunto categoría : |
P40 Meteorología y climatología |
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URL : |
http://www.inia.uy/Publicaciones/Documentos%20compartidos/Informe%20agroclimatico%20INIA-GRAS%20Octubre%20de%202022.pdf
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Marc : |
LEADER 02960nam a2200757 a 4500
001 1063702
005 2022-11-04
008 2022 bl uuuu u0uu1 u #d
100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA)
245 $aInforme agroclimático 2022- Situación a Octubre.$h[electronic resource]
260 $aMontevideo (UY): INIA$c2022
300 $a6 p.
490 $a(Informe Agroclimático; Año 17, No.10)
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 Octubre-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de Vegetación (NDVI) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Agua No Retenida (ANR) -- Índice de Bienestar Hídrico (IBH) -- Perspectivas Climáticas Nov-Dic-Ene elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Pronóstico de DON en trigo. Mapas nacionales mostrando la estimación de cantidad de DON en trigo a cosecha. Link directo: http://www.inia.uy/gras/Alertas-y-herramientas/Pron%C3%B3stico-DON-para-trigo-
650 $aAGROCLIMATOLOGIA
650 $aCAMBIO CLIMATICO
650 $aCLIMA
650 $aCLIMATOLOGIA
650 $aESTACIONES METEOROLOGICAS
650 $aESTRES HIDRICO
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 $aSISTEMAS DE INFORMACION GEOGRAFICOS
650 $aTEMPERATURA
650 $aTERMOMETROS
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 $aGRAFICAS AGROCLIMATICAS
653 $aGRAS
653 $aINFORMACION SATELITAL
653 $aINFORME AGROCLIMÁTICO 2022
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 $aSISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA
653 $aTANQUE A
653 $aTERMOCUPLAS
653 $aTERMOHIDROGRAFO
653 $aVARIABLES AGROCLIMATICAS
653 $aVELETA
700 1 $aGRAS
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