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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha : |
21/02/2014 |
Actualizado : |
29/05/2015 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
MONTOSSI, F.; NOLLA, M.; DIGHIERO, A.; DE BARBIERI, I.; SAN JULIAN, R.; GANZABAL, A.; BRITO, G.; DE MATTOS, D.; DE LOS CAMPOS, G.; CASTRO, L.; PIGURINA, G.; ROBAINA, R. |
Afiliación : |
FABIO MARCELO MONTOSSI PORCHILE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROBERTO SAN JULIAN SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRES RICARDO GANZABAL PLANINICH, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO WALTER BRITO DIAZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Potencial de producción de carne ovina de calidad en el Uruguay. |
Fecha de publicación : |
2004 |
Fuente / Imprenta : |
Idia XXI: revista de información sobre investigación y desarrollo agropecuario, 2004, v. 4, no. 7, p. 185-188 |
Idioma : |
Español |
Thesagro : |
CALIDAD; CARNE; OVINOS; PRODUCCION DE CARNE; URUGUAY. |
Asunto categoría : |
-- |
Marc : |
LEADER 00832naa a2200301 a 4500 001 1028761 005 2015-05-29 008 2004 bl uuuu u00u1 u #d 100 1 $aMONTOSSI, F. 245 $aPotencial de producción de carne ovina de calidad en el Uruguay. 260 $c2004 650 $aCALIDAD 650 $aCARNE 650 $aOVINOS 650 $aPRODUCCION DE CARNE 650 $aURUGUAY 700 1 $aNOLLA, M. 700 1 $aDIGHIERO, A. 700 1 $aDE BARBIERI, I. 700 1 $aSAN JULIAN, R. 700 1 $aGANZABAL, A. 700 1 $aBRITO, G. 700 1 $aDE MATTOS, D. 700 1 $aDE LOS CAMPOS, G. 700 1 $aCASTRO, L. 700 1 $aPIGURINA, G. 700 1 $aROBAINA, R. 773 $tIdia XXI: revista de información sobre investigación y desarrollo agropecuario, 2004$gv. 4, no. 7, p. 185-188
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Registro original : |
INIA Tacuarembó (TBO) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
28/11/2019 |
Actualizado : |
21/09/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
NAVAS, R.; AALONSO, J.; GORGOGLIONE, A.; VERVOORT, R. W. |
Afiliación : |
RAFAEL NAVAS NÚÑEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JIMENA ALONSO, Institute of Fluid Mechanics and Environmental Engineering, School of Engineering, Universidad de la República, Montevideo, Uruguay; ANGELA GORGOGLIONE, Institute of Fluid Mechanics and Environmental Engineering, School of Engineering, Universidad de la República, Montevideo, Uruguay; R. WILLEM VERVOORT, School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia. |
Título : |
Identifying climate and human impact trends in streamflow: A case study in Uruguay. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Water (Switzerland), 1 July 2019, Volume 11, Issue 7, Article number 1433. OPEN ACCESS. DOI: https://doi.org/10.3390/w11071433 |
ISSN : |
2073-4441 |
DOI : |
10.3390/w11071433 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 17 June 2019 / Revised: 6 July 2019 / Accepted: 9 July 2019 / Published: 12 July 2019.
This article belongs to the Special Issue Impacts of Climate Change and Anthropogenic Activities on the Spatio-Temporal Variability of River Flow: https://www.mdpi.com/journal/water/special_issues/Spatio-temporal_Variability_River_Flow |
Contenido : |
ABSTRACT.
Land use change is an important driver of trends in streamflow. However, the effects are often difficult to disentangle from climate effects. The aim of this paper is to demonstrate that trends in streamflow can be identified by analysing residuals of rainfall-runoff simulations using a Generalized Additive Mixed Model. This assumes that the rainfall-runoff model removes the average climate forcing from streamflow. The case study involves the Santa Lucía river (Uruguay), the GR4J rainfall-runoff model, three nested catchments ranging from 690 to 4900 km 2 and 35 years of observations (1981?2016). Two exogenous variables were considered to influence the streamflow. Using satellite data, growth in forest cover was identified, while the growth in water licenses was obtained from the water authority. Depending on the catchment, effects of land use change differ, with the largest catchment most impacted by afforestation, while the middle size catchment was more influenced by the growth in water licenses. |
Palabras claves : |
Climate models; GR4J; HYDROLOGY; Land use change; Statistical hydrology; Trend identification. |
Asunto categoría : |
P10 Recursos hídricos y su ordenación |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13859/1/water-11-01433.pdf
https://www.mdpi.com/2073-4441/11/7/1433/pdf
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Marc : |
LEADER 02185naa a2200265 a 4500 001 1060476 005 2020-09-21 008 2019 bl uuuu u00u1 u #d 022 $a2073-4441 024 7 $a10.3390/w11071433$2DOI 100 1 $aNAVAS, R. 245 $aIdentifying climate and human impact trends in streamflow$bA case study in Uruguay.$h[electronic resource] 260 $c2019 500 $aArticle history: Received: 17 June 2019 / Revised: 6 July 2019 / Accepted: 9 July 2019 / Published: 12 July 2019. This article belongs to the Special Issue Impacts of Climate Change and Anthropogenic Activities on the Spatio-Temporal Variability of River Flow: https://www.mdpi.com/journal/water/special_issues/Spatio-temporal_Variability_River_Flow 520 $aABSTRACT. Land use change is an important driver of trends in streamflow. However, the effects are often difficult to disentangle from climate effects. The aim of this paper is to demonstrate that trends in streamflow can be identified by analysing residuals of rainfall-runoff simulations using a Generalized Additive Mixed Model. This assumes that the rainfall-runoff model removes the average climate forcing from streamflow. The case study involves the Santa Lucía river (Uruguay), the GR4J rainfall-runoff model, three nested catchments ranging from 690 to 4900 km 2 and 35 years of observations (1981?2016). Two exogenous variables were considered to influence the streamflow. Using satellite data, growth in forest cover was identified, while the growth in water licenses was obtained from the water authority. Depending on the catchment, effects of land use change differ, with the largest catchment most impacted by afforestation, while the middle size catchment was more influenced by the growth in water licenses. 653 $aClimate models 653 $aGR4J 653 $aHYDROLOGY 653 $aLand use change 653 $aStatistical hydrology 653 $aTrend identification 700 1 $aAALONSO, J. 700 1 $aGORGOGLIONE, A. 700 1 $aVERVOORT, R. W. 773 $tWater (Switzerland), 1 July 2019, Volume 11, Issue 7, Article number 1433. OPEN ACCESS. DOI: https://doi.org/10.3390/w11071433
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INIA Las Brujas (LB) |
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