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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
Fecha : |
21/02/2014 |
Actualizado : |
03/02/2018 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
PIGURINA, G.; SOARES DE LIMA, J.M.; BERRETTA, E.J.; MONTOSSI, F.; PITTALUGA, O.; FERREIRA, G. |
Afiliación : |
GUILLERMO PIGURINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN MANUEL SOARES DE LIMA LAPETINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELBIO JOAQUIN BERRETTA CARVALLO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FABIO MARCELO MONTOSSI PORCHILE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR ALBERTO PITTALUGA GONZALEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO ALVARO FERREIRA DE MATTOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Características del engorde a campo natural |
Complemento del título : |
BOVINOS PARA CARNE |
Fecha de publicación : |
1998 |
Fuente / Imprenta : |
In: BERRETTA, E.J. (Ed.). Seminario de actualización en tecnologías para basalto. INIA Tacuarembó, 3-4 diciembre 1998. Montevideo (Uruguay): INIA, 1998. |
Páginas : |
p. 137-145 |
Serie : |
(INIA Serie Técnica ; 102) |
ISSN : |
1688-9266 |
Idioma : |
Español |
Contenido : |
El objetivo de este trabajo es analizar algunas características del engorde de novillos a campo natural en Basalto, que afectan
la velocidad de engorde y el potencial de producción. |
Palabras claves : |
ANIMAL PRODUCTION; GANANCIA ESTACIONAL. |
Thesagro : |
CARGA GANADERA; ENGORDE. |
Asunto categoría : |
-- L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/7832/1/ST-102-137-145.pdf
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Marc : |
LEADER 00983naa a2200265 a 4500 001 1012085 005 2018-02-03 008 1998 bl uuuu u00u1 u #d 022 $a1688-9266 100 1 $aPIGURINA, G. 245 $aCaracterísticas del engorde a campo natural 260 $c1998 300 $ap. 137-145 490 $a(INIA Serie Técnica ; 102) 520 $aEl objetivo de este trabajo es analizar algunas características del engorde de novillos a campo natural en Basalto, que afectan la velocidad de engorde y el potencial de producción. 650 $aCARGA GANADERA 650 $aENGORDE 653 $aANIMAL PRODUCTION 653 $aGANANCIA ESTACIONAL 700 1 $aSOARES DE LIMA, J.M. 700 1 $aBERRETTA, E.J. 700 1 $aMONTOSSI, F. 700 1 $aPITTALUGA, O. 700 1 $aFERREIRA, G. 773 $tIn: BERRETTA, E.J. (Ed.). Seminario de actualización en tecnologías para basalto. INIA Tacuarembó, 3-4 diciembre 1998. Montevideo (Uruguay): INIA, 1998.
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Registro original : |
INIA Las Brujas (LB) |
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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
25/09/2020 |
Actualizado : |
16/11/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
PACHECO-ROMERO, M.; ALCARAZ-SEGURA, D.; VALLEJOS, M.; CABELLO, J. |
Afiliación : |
MANUEL PACHECO-ROMERO, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain./ Department of Biology and Geology, University of Almería, Almería, Spain.; DOMINGO ALCARAZ-SEGURA, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain./Department of Botany, University of Granada, Granada, Spain.; MARÍA VALLEJOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Buenos Aires, Argentina.; JAVIER CABELLO, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain/Department of Biology and Geology, University of Almería, Almería, Spain. |
Título : |
An expert-based reference list of variables for characterizing and monitoring social-ecological systems. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Ecology and Society, 2020, Volume 25, Issue 3, Article number 1, Page 1. Doi: https://doi.org/10.5751/ES-11676-25030 |
DOI : |
10.5751/ES-11676-250301 |
Idioma : |
Inglés |
Contenido : |
ABSTRACT. The social-ecological system (SES) approach is fundamental for addressing global change challenges and to developing sustainability science. Over the last two decades, much progress has been made in translating this approach from theory to practice, although the knowledge generated is still sparse and difficult to compare. To better understand how SESs function across time, space, and scales, coordinated, long-term SES research and monitoring strategies under a common analytical framework are needed. For this purpose, the collection of standard datasets is a cornerstone, but we are still far from identifying and agreeing on the common core set of variables that should be used. In this study, based on literature reviews, expert workshops, and researcher perceptions collected through online surveys, we developed a reference list of 60 variables for the characterization and monitoring of SESs. The variables were embedded in a conceptual framework structured in 13 dimensions that were distributed throughout the three main components of the SES: the social system, the ecological system, and the interactions between them. In addition, the variables were prioritized according to relevance and consensus criteria identified in the survey responses. Variable relevance was positively correlated with consensus across respondents. This study brings new perspectives to address existing barriers in operationalizing lists of variables in the study of SESs, such as the applicability for place-based research, the capacity to deal with SES complexity, and the feasibility for
long-term monitoring of social-ecological dynamics. This study may constitute a preliminary step to identifying essential variables for SESs. It will contribute toward promoting the systematic collection of data around most meaningful aspects of the SESs and to enhancing comparability across place-based research and long-term monitoring of complex SESs, and therefore, the production of generalizable knowledge. MenosABSTRACT. The social-ecological system (SES) approach is fundamental for addressing global change challenges and to developing sustainability science. Over the last two decades, much progress has been made in translating this approach from theory to practice, although the knowledge generated is still sparse and difficult to compare. To better understand how SESs function across time, space, and scales, coordinated, long-term SES research and monitoring strategies under a common analytical framework are needed. For this purpose, the collection of standard datasets is a cornerstone, but we are still far from identifying and agreeing on the common core set of variables that should be used. In this study, based on literature reviews, expert workshops, and researcher perceptions collected through online surveys, we developed a reference list of 60 variables for the characterization and monitoring of SESs. The variables were embedded in a conceptual framework structured in 13 dimensions that were distributed throughout the three main components of the SES: the social system, the ecological system, and the interactions between them. In addition, the variables were prioritized according to relevance and consensus criteria identified in the survey responses. Variable relevance was positively correlated with consensus across respondents. This study brings new perspectives to address existing barriers in operationalizing lists of variables in the study of SESs, such as the applicabilit... Presentar Todo |
Palabras claves : |
COUPLED HUMAN AND NATURAL SYSTEMS; ESSENTIAL SOCIAL-ECOLOGICAL VARIABLES; ESSENTIAL VARIABLES; LONG-TERM SOCIAL-ECOLOGICAL RESEARCH; LTSER; PLACE-BASED SOCIAL-ECOLOGICAL RESEARCH; SISTEMAS HUMANOS ACOPLADOS; SISTEMAS SOCIO-ECOLOGICOS; SOCIAL-ECOLOGICAL DIMENSIONS; SOCIAL-ECOLOGICAL INTERACTIONS; SOCIAL-ECOLOGICAL MONITORING; SOCIAL-ECOLOGICAL SYSTEM FRAMEWORK; SOCIAL-ECOLOGICAL SYSTEM FUNCTIONING. |
Asunto categoría : |
-- |
Marc : |
LEADER 03212naa a2200325 a 4500 001 1061346 005 2020-11-16 008 2020 bl uuuu u00u1 u #d 024 7 $a10.5751/ES-11676-250301$2DOI 100 1 $aPACHECO-ROMERO, M. 245 $aAn expert-based reference list of variables for characterizing and monitoring social-ecological systems.$h[electronic resource] 260 $c2020 520 $aABSTRACT. The social-ecological system (SES) approach is fundamental for addressing global change challenges and to developing sustainability science. Over the last two decades, much progress has been made in translating this approach from theory to practice, although the knowledge generated is still sparse and difficult to compare. To better understand how SESs function across time, space, and scales, coordinated, long-term SES research and monitoring strategies under a common analytical framework are needed. For this purpose, the collection of standard datasets is a cornerstone, but we are still far from identifying and agreeing on the common core set of variables that should be used. In this study, based on literature reviews, expert workshops, and researcher perceptions collected through online surveys, we developed a reference list of 60 variables for the characterization and monitoring of SESs. The variables were embedded in a conceptual framework structured in 13 dimensions that were distributed throughout the three main components of the SES: the social system, the ecological system, and the interactions between them. In addition, the variables were prioritized according to relevance and consensus criteria identified in the survey responses. Variable relevance was positively correlated with consensus across respondents. This study brings new perspectives to address existing barriers in operationalizing lists of variables in the study of SESs, such as the applicability for place-based research, the capacity to deal with SES complexity, and the feasibility for long-term monitoring of social-ecological dynamics. This study may constitute a preliminary step to identifying essential variables for SESs. It will contribute toward promoting the systematic collection of data around most meaningful aspects of the SESs and to enhancing comparability across place-based research and long-term monitoring of complex SESs, and therefore, the production of generalizable knowledge. 653 $aCOUPLED HUMAN AND NATURAL SYSTEMS 653 $aESSENTIAL SOCIAL-ECOLOGICAL VARIABLES 653 $aESSENTIAL VARIABLES 653 $aLONG-TERM SOCIAL-ECOLOGICAL RESEARCH 653 $aLTSER 653 $aPLACE-BASED SOCIAL-ECOLOGICAL RESEARCH 653 $aSISTEMAS HUMANOS ACOPLADOS 653 $aSISTEMAS SOCIO-ECOLOGICOS 653 $aSOCIAL-ECOLOGICAL DIMENSIONS 653 $aSOCIAL-ECOLOGICAL INTERACTIONS 653 $aSOCIAL-ECOLOGICAL MONITORING 653 $aSOCIAL-ECOLOGICAL SYSTEM FRAMEWORK 653 $aSOCIAL-ECOLOGICAL SYSTEM FUNCTIONING 700 1 $aALCARAZ-SEGURA, D. 700 1 $aVALLEJOS, M. 700 1 $aCABELLO, J. 773 $tEcology and Society, 2020, Volume 25, Issue 3, Article number 1, Page 1. Doi: https://doi.org/10.5751/ES-11676-25030
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