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1.Imagen marcada / sin marcar BRITO, L.F; BERRY, D.; LARROQUE, H.; SCHENKEI, F.S.; CIAPPESONI, G.; O’BRIEN, A.; TORTEREAU, F.; UGARTE, E.; PALHIERE, I.; BAPST, B.; JAKOBSEN, J.; ANTONAKOS, G.; KOMINAKIS, A.; CLEMENT, V.; BRUNI, G.; LOYWYCK, V.; MASSENDER, E.; OLIVEIRA, H.R.; POSTA, J.; ASTRUC, J.M. Genetic evaluation systems and breeding programs in sheep and goats: an international perspective. Annual Meeting of the European Federation of Animal Science, 17., No. 26, 2020. Virtual Meeting 1-4 December, 2020. DOI: DOI: 10.3920/978-90-8686-900-8. p. 560
Biblioteca(s): INIA Tacuarembó.
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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
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB102013 - 1PXIAP - DDPP/Water (Switzerland)/2019
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