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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
25/09/2020 |
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Actualizado : |
16/11/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
PACHECO-ROMERO, M.; ALCARAZ-SEGURA, D.; VALLEJOS, M.; CABELLO, J. |
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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. |
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Título : |
An expert-based reference list of variables for characterizing and monitoring social-ecological systems. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Ecology 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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DOI : |
10.5751/ES-11676-250301 |
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Idioma : |
Inglés |
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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 |
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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. |
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Asunto categoría : |
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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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INIA La Estanzuela (LE) |
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| 1. |  | SEVERINI, A. D.; KAVANOVÁ, M.; CERETTA, S.; ÁLVAREZ PRADO, S.; FERNÁNDEZ LONG, M. E.; CRESPO, A.; OTEGUI, M. E.; VEGA, C. R. C.; SUIL, S.; ACRECHE, M.; SCHOLZ DRODOWSKI, R. F.; SERRAGO, R. A.; MIRALLES, D. J. CRONOSOJA UY: un nuevo modelo de predicción fenológica para el cultivo de soja en Uruguay. Revista INIA Uruguay, Setiembre 2021, no.66, p. 82-85. (Revista INIA; 66).| Tipo: Artículos en Revistas Agropecuarias |
| Biblioteca(s): INIA Treinta y Tres. |
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| 2. | | JARDON, M.; ALVAREZ PRADO, S.; SEVERINI, A.D.; FERNÁNDEZ LONG, M.E.; CRESPO, A.O.; CASTRO, M.; QUINCKE, M.; KAVANOVÁ, M.; SCHOLZ DRODOWSKI, R.; CHÁVEZ SANABRIA, P.; PEREZ-GIANMARCO, T.; ALFARO, C.; CASTILLO, D.; MATUS, I.; GÓMEZ, D; SERRAGO, R.; GÓNZALEZ, F.G.; MIRALLES, D.J. CRONOTRIGO 2.0: nueva versión del modelo de predicción fenológica para el cultivo de trigo. In: Revista Técnica de la Asociación Argentina de Productores en Siembra Directa, Abril 2021, Rosario: AAPRESID. p. 53-60. Se incorporaron cambios respecto a la versión original en cuanto al alcance y la precisión del modelo.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 2 | |
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