Ainfo Consulta

Catálogo de Información Agropecuaria

Bibliotecas INIA

 

Botón Actualizar


Botón Actualizar

Registro completo
Biblioteca (s) :  INIA Las Brujas.
Fecha :  27/09/2022
Actualizado :  27/09/2022
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Autor :  ZARBÁ, L.; PIQUER-RODRÍGUEZ, M.; BOILLAT, S.; LEVERS, C.; GASPARRI, I.; AIDE, T. M.; ÁLVAREZ-BERRÍOS, N. L.; ANDERSON, L. O.; ARAOZ, E.; ARIMA, E.; BATISTELLA, M.; CALDERÓN-LOOR, M.; ECHEVERRÍA, C.; GONZALEZ-ROGLICH, M.; JOBBÁGY, E. G.; MATHEZ-STIEFEL, S.-L.; RAMIREZ-REYES, C-; PACHECHO, A.; VALLEJOS, M.; YOUNG, K. R.; GRAU, R.
Afiliación :  LUCÍA ZARBÁ, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina.; MARÍA PIQUER-RODRÍGUEZ, Instituto Ecología Regional (IER), Univ. Nacional de Tucumán (UNT). Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina; Lateinamerika-Institut, Freie Universität Berlin, Germany; Geography Department, Humbold, Germany; SÉBASTIEN BOILLAT, Institute of Geography, University of Bern, Bern, Switzerland; CHRISTIAN LEVERS, Depart. Environmental Geography, Inst. for Environmental Studies, Vrije Univ. Amsterdam, Netherlands; Inst. for Resources, Environment and Sustainability, Univ. of British Columbia, Vancouver, BC, Canada; School of Public Policy and Global Affairs, Univ.; IGNACIO GASPARRI, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina; T. MITCHELL AIDE, Department of Biology, University of Puerto Rico-Rio Piedras, Puerto Rico; NORA L. ÁLVAREZ-BERRÍOS, USDA Forest Service, International Institute of Tropical Forestry, Río Piedras, Puerto Rico; LIANA O. ANDERSON, National Center for Monitoring and Early Warning of Natural Disasters-CEMADEN, Ministry of Science, Technology and Innovation-MCTI, Brazil; EZEQUIEL ARAOZ, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina; EUGENIO ARIMA, Department of Geography and the Environment, University of Texas at Austin, United States; MATEUS BATISTELLA, Brazilian Agricultural Research Corporation (Embrapa Agricultural Informatics) State University of Campinas (Unicamp), Brazil; MARCO CALDERÓN-LOOR, Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Melbourne, Australia;Grupo de Investigación de Biodiversidad, Medio Ambiente y Salud-BIOMAS, Universidad de las Américas (UDLA), Quito, Ecuador; CRISTIAN ECHEVERRÍA, Landscape Ecology Laboratory, Facultad de Ciencias Forestales, Universidad de Concepción, Chile; Millennium Nucleus Center for the Socioeconomic Impact of Environmental Policies (CESIEP), Santiago de Chile, Chile; MARIANO GONZALEZ-ROGLICH, Wildlife Conservation Society, Buenos Aires, Argentina; ESTEBAN G. JOBBÁGY, Grupo de Estudios Ambientales, IMASL-CONICET and Universidad Nacional de San Luis, San Luis, Argentina; South American Institute for Resilience and Sustainability Studies (SARAS), Maldonado, Uruguay; SARAH-LAN MATHEZ-STIEFEL, Centre for Development and Environment, University of Bern, Switzerland; Wyss Academy for Nature at the University of Bern, Switzerland; CARLOS RAMIREZ-REYES, Quantitative Ecology & Spatial Technologies Laboratory, Department of Wildlife, Fisheries and Aquaculture, Mississippi State University, United States; ANDREA PACHECO, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany; MARÍA VALLEJOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Argentina; KENNETH R. YOUNG, Department of Geography and the Environment, University of Texas at Austin, United States; RICARDO GRAU, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina.
Título :  Mapping and characterizing social-ecological land systems of South America.
Fecha de publicación :  2022
Fuente / Imprenta :  Ecology and Society, 2022, Volume 27, Issue 2, Article number 27. OPEN ACCESS. doi: https://doi.org/10.5751/ES-13066-270227
ISSN :  1708-3087
DOI :  10.5751/ES-13066-270227
Idioma :  Inglés
Notas :  Article: Gold Open Access, Green Open Access. -- Erratum: On 6 June 2022 the abstract was edited. See online for more detail: https://ecologyandsociety.org/vol27/iss2/art27/#dataarchive_stmt -- LICENSE: Published under license by The Resilience Alliance. This article is under a Creative Commons Attribution 4.0 International License. You may share and adapt the work provided the original author and source are credited, you indicate whether any changes were made, and you include a link to the license. -- Article metrics: https://plu.mx/plum/a/?doi=10.5751/ES-13066-270227&theme=plum-bigben-theme
Contenido :  ABSTRACT.- Humans place strong pressure on land and have modified around 75% of Earth's terrestrial surface. In this context, ecoregions and biomes, merely defined on the basis of their biophysical features, are incomplete characterizations of the territory. Land system science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generated spatially explicit social-ecological land system (SELS) typologies for South America with a hybrid methodology that combined data-driven spatial analysis with a knowledge-based evaluation by an interdisciplinary group of regional specialists. Our approach embraced a holistic consideration of the social-ecological land systems, gathering a dataset of 26 variables spanning across 7 dimensions: physical, biological, land cover, economic, demographic, political, and cultural. We identified 13 SELS nested in 5 larger social-ecological regions (SER). Each SELS was discussed and described by specific groups of specialists. Although 4 environmental and 1 socioeconomic variable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essential for defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematic and operative characterization of South American social-ecological land systems. We propose its use can contribute as a reference framework for a wide ran... Presentar Todo
Palabras claves :  Automatization; Hierarchical clustering; Multidisciplinary data; Participatory mapping; Social-ecological mapping.
Asunto categoría :  F01 Cultivo
URL :  http://www.ainfo.inia.uy/digital/bitstream/item/16772/1/ES-2021-13066.pdf
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB103177 - 1PXIAP - DDECOLOGY and SOCIETY/2022

Volver


Botón Actualizar


Botón Actualizar

Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy.
Registro completo
Biblioteca (s) :  INIA Tacuarembó.
Fecha actual :  19/10/2018
Actualizado :  04/06/2020
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  Internacional - --
Autor :  CAZZULI, F.; LAGOMARSINO, X.; BOGGIANO, P.; SAADOUN, A.; MONTOSSI, F.
Afiliación :  FIORELLA CARLA CAZZULI ALBA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; XIMENA MARIA LAGOMARSINO LARRIERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; P. BOGGIANO, Animal & Pastures Production Department, Agronomy Faculty, University of the Republic. Paysandú, Uruguay; A. SAADOUN, Physiology & Nutrition Department, Science Faculty, University of the Republic. Montevideo, Uruguay; FABIO MARCELO MONTOSSI PORCHILE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.
Título :  Self-feeding improved animal performance of calves grazing native grasslands during winter on extensive livestock production systems // El auto-suministro mejoró el desempeño de terneros pastoreando campo natural diferido en invierno en sistemas ganaderos extensivos.
Fecha de publicación :  2018
Fuente / Imprenta :  Agro Sur, 2018, v. 46, no. 1, p. 29-39. DOI: https://doi.org/10.4206/agrosur.2018.v46n1-04
ISSN :  03048802
DOI :  10.4206/agrosur.2018.v46n1-04
Idioma :  Inglés
Notas :  Article history: Received 30.05.2018; Accepted 29.08.2018. ACKNOWLEDGEMENTS: These experiments were financially supported by the National Institute of Agricultural Research (INIA Uruguay). The authors would like to thank all field staff who worked on both experimental sites, as well as the thesis committee for all their valuable inputs to this paper. We would also like to acknowledge the inputs made by Ignacio de Barbieri, Martín Jaurena, Zully Ra-mos and Daniela Correa. Corresponding author: Fiorella CazzuliE-mail address:fcazzuli@inia.org.uy
Contenido :  Supplementing calves on deferred native grasslands during their first winter, helps overcoming the nutritive deficits which occur during this season. However, the demand of both qualification and availability of labour may restrain its adoption. The objective of this work was to evaluate calves? average daily live weight gain (ADG) and supplemental feed efficiency (SFE) as a response to self-feeding methods. Two experiments (Exp) were carried out: i) Exp A, on sandy soils with Braford calves and, ii) Exp B on basaltic soils with Hereford calves. In each experiment 40 castrated male calves were used and randomly allotted to one of two replicates of these treatments: non-supplemented control (C); everyday restricted supplementation (E); restricted self-fed supplementation delivered two times a week (RSF); ad libitum self-fed (ASF). Exp A registered lowest ADG for C (0.155 kg an-1 day-1), similar ADG between E and RSF (0.623 kg an-1 day-1 on average) and highest for ASF (1.135 kg an-1 day-1) (p <0.05). For Exp B, ADG was affected being C ≤ E ≤ RSF < ASF (0.158, 0.390, 0.588 and 1.319 kg an-1 day-1, respectively). SFE values were not different (p >0.05) between treatments for Exp A, even though ASF presented a 50% higher SFE (9.4) than RSF (6.2) and E (6.1). SFE was affected (p <0.05), being ASF (7.7) < E = RSF (3.9 on average). It is possible to overcome winter live weight losses through the combination of deferred native grasslands and restricted self-feeding // La... Presentar Todo
Palabras claves :  BEEF CATTLE; GANADO DE CARNE; INFREQUENT SUPPLEMENTATION; NATIVE PASTURE; PASTURAS NATIVAS; SUPLEMENTACIÓN INFRECUENTE; SUPLEMENTO; SUPPLEMENT; URUGUAY.
Asunto categoría :  A50 Investigación agraria
Marc :  Presentar Marc Completo
Registro original :  INIA Tacuarembó (TBO)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
TBO102749 - 1PXIAP - DD
Volver
Expresión de búsqueda válido. Check!
 
 

Embrapa
Todos los derechos reservados, conforme Ley n° 9.610
Política de Privacidad
Área Restricta

Instituto Nacional de Investigación Agropecuaria
Andes 1365 - piso 12 CP 11100 Montevideo, Uruguay
Tel: +598 2902 0550 Fax: +598 2902 3666
bibliotecas@inia.org.uy

Valid HTML 4.01 Transitional