An expert - based reference list of variables for characterizing and monitoring social - ecological systems

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 a...

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Otros Autores: Pacheco Romero, Manuel, Alcaraz Segura, Domingo, Vallejos, María, Cabello, Javier
Formato: Artículo
Lenguaje:Inglés
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Acceso en línea:http://ri.agro.uba.ar/files/download/articulo/2020pachecoromero.pdf
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Aporte de:Registro referencial: Solicitar el recurso aquí
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245 1 0 |a An expert - based reference list of variables for characterizing and monitoring social - ecological systems 
520 |a 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. 
650 |2 Agrovoc  |9 26 
653 |a COUPLED HUMAN AND NATURAL SYSTEMS 
653 |a ESSENTIAL SOCIAL - ECOLOGICAL VARIABLES 
653 |a ESSENTIAL VARIABLES 
653 |a LONG - TERM SOCIAL - ECOLOGICAL RESEARCH 
653 |a LTSER 
653 |a PLACE - BASED SOCIAL - ECOLOGICAL RESEARCH 
653 |a SOCIAL - ECOLOGICAL DIMENSIONS 
653 |a SOCIAL - ECOLOGICAL INTERACTIONS 
653 |a SOCIAL - ECOLOGICAL MONITORING 
653 |a SOCIAL - ECOLOGICAL SYSTEM FRAMEWORK 
653 |a SOCIAL - ECOLOGICAL SYSTEM FUNCTIONING 
700 1 |a Pacheco Romero, Manuel  |u University of Almería. Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG). Almería, Spain.  |u University of Almería. Department of Biology and Geology. Almería, Spain.  |9 73495 
700 1 |a Alcaraz Segura, Domingo  |u University of Almería. Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG). Almería, Spain.  |u University of Granada. Department of Botany. Granada, Spain.  |u University of Granada. Institute for Earth System Research (IISTA). Granada, Spain.  |9 47964 
700 1 |9 29398  |a Vallejos, María  |u University of Granada. Department of Botany. Granada, Spain.  |u Instituto Nacional de Investigación Agropecuaria (INIA La Estanzuela). Colonia, Uruguay.  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina. 
700 1 |a Cabello, Javier  |u University of Almería. Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG). Almería, Spain.  |u University of Almería. Department of Biology and Geology. Almería, Spain.  |9 50022 
773 0 |t Ecology and Society  |g Vol.25, no.3 (2020), 95 p., grafs. 
856 |f 2020pachecoromero  |i En internet  |q application/pdf  |u http://ri.agro.uba.ar/files/download/articulo/2020pachecoromero.pdf  |x ARTI202204 
856 |u https://www.resalliance.org  |z LINK AL EDITOR 
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942 |c ENLINEA 
976 |a AAG