Mapping and characterizing social - ecological land systems of South America
Fil: Zarbá, Lucía. Universidad Nacional de Tucumán (UNT). Instituto de Ecología Regional (IER). Tucumán, Argentina.
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| Autores principales: | , , , , , , , |
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| Formato: | Artículo publishedVersion |
| Lenguaje: | Inglés |
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2022
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| Acceso en línea: | http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2022zarba |
| Aporte de: |
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snrd:2022zarba |
|---|---|
| record_format |
dspace |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-140 |
| collection |
FAUBA Digital - Facultad de Agronomía (UBA) |
| language |
Inglés |
| orig_language_str_mv |
eng |
| topic |
AUTOMATIZATION HIERARCHICAL CLUSTERING MULTIDISCIPLINARY DATA PARTICIPATORY MAPPING SOCIAL - ECOLOGICAL MAPPING |
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AUTOMATIZATION HIERARCHICAL CLUSTERING MULTIDISCIPLINARY DATA PARTICIPATORY MAPPING SOCIAL - ECOLOGICAL MAPPING Zarbá, Lucía Piquer Rodríguez, María Boillat, Sébastien Levers, Christian Gasparri, Ignacio Aide, T. Mitchell Alvarez Berríos, Nora L. Vallejos, María Mapping and characterizing social - ecological land systems of South America |
| topic_facet |
AUTOMATIZATION HIERARCHICAL CLUSTERING MULTIDISCIPLINARY DATA PARTICIPATORY MAPPING SOCIAL - ECOLOGICAL MAPPING |
| description |
Fil: Zarbá, Lucía. Universidad Nacional de Tucumán (UNT). Instituto de Ecología Regional (IER). Tucumán, Argentina. |
| format |
Artículo Artículo publishedVersion publishedVersion |
| author |
Zarbá, Lucía Piquer Rodríguez, María Boillat, Sébastien Levers, Christian Gasparri, Ignacio Aide, T. Mitchell Alvarez Berríos, Nora L. Vallejos, María |
| author_facet |
Zarbá, Lucía Piquer Rodríguez, María Boillat, Sébastien Levers, Christian Gasparri, Ignacio Aide, T. Mitchell Alvarez Berríos, Nora L. Vallejos, María |
| author_sort |
Zarbá, Lucía |
| title |
Mapping and characterizing social - ecological land systems of South America |
| title_short |
Mapping and characterizing social - ecological land systems of South America |
| title_full |
Mapping and characterizing social - ecological land systems of South America |
| title_fullStr |
Mapping and characterizing social - ecological land systems of South America |
| title_full_unstemmed |
Mapping and characterizing social - ecological land systems of South America |
| title_sort |
mapping and characterizing social - ecological land systems of south america |
| publishDate |
2022 |
| url |
http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2022zarba |
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1862330727764328448 |
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snrd:2022zarba2026-03-26T10:27:42Z Zarbá, Lucía Piquer Rodríguez, María Boillat, Sébastien Levers, Christian Gasparri, Ignacio Aide, T. Mitchell Alvarez Berríos, Nora L. Vallejos, María 2022 Fil: Zarbá, Lucía. Universidad Nacional de Tucumán (UNT). Instituto de Ecología Regional (IER). Tucumán, Argentina. Fil: Zarbá, Lucía. CONICET - Universidad Nacional de Tucumán (UNT). Instituto de Ecología Regional (IER). Tucumán, Argentina. Fil: Piquer Rodríguez, María. Universidad Nacional de Tucumán (UNT). Instituto de Ecología Regional (IER). Tucumán, Argentina. Fil: Piquer Rodríguez, María. CONICET - Universidad Nacional de Tucumán (UNT). Instituto de Ecología Regional (IER). Tucumán, Argentina. Fil: Piquer Rodríguez, María. Freie Universität Berlin. Lateinamerika - Institut. Berlín, Germany. Fil: Piquer Rodríguez, María. Humboldt - Universität zu Berlin. Geography Department. Berlín, Germany. Fil: Boillat, Sébastien. University of Bern. Institute of Geography. Bern, Switzerland. Fil: Levers, Christian. Vrije Universiteit Amsterdam. Institute for Environmental Studies. Department of Environmental Geography. Amsterdam, The Netherlands. Fil: Levers, Christian. University of British Columbia. Environment and Sustainability. Institute for Resources. Vancouver, British Columbia, Canada. Fil: Levers, Christian. University of British Columbia. School of Public Policy and Global Affairs. Vancouver, British Columbia, Canada. Fil: Gasparri, Ignacio. Universidad Nacional de Tucumán (UNT). Instituto de Ecología Regional (IER). Tucumán, Argentina. Fil: Gasparri, Ignacio. CONICET - Universidad Nacional de Tucumán (UNT). Instituto de Ecología Regional (IER). Tucumán, Argentina. Fil: Aide, T. Mitchell. University of Puerto Rico. Department of Biology. Río Piedras, Puerto Rico. Fil: Alvarez Berríos, Nora L. USDA Forest Service. International Institute of Tropical Forestry. Río Piedras, Puerto Rico. Fil: Vallejos, María. Programa Nacional de Producción y Sustentabilidad Ambiental, Instituto Nacional de Investigación Agropecuaria (INIA). La Estanzuela, Colonia, Uruguay. Fil: Vallejos, María. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina. 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 datadriven 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 range of applications such as analyzing observations within larger contexts, designing system - specific solutions for sustainable development, and structuring hypothesis testing and comparisons across space. Similar efforts could be done elsewhere in the world. il., mapa, graf., tbls. application/pdf 10.5751/ES-13066-270227 1708-3087 http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2022zarba eng info:eu-repo/semantics/openAccess openAccess openAccess http://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section4 Ecology and Society Vol.27, no.2 e27 https://www.resalliance.org AUTOMATIZATION HIERARCHICAL CLUSTERING MULTIDISCIPLINARY DATA PARTICIPATORY MAPPING SOCIAL - ECOLOGICAL MAPPING Mapping and characterizing social - ecological land systems of South America info:ar-repo/semantics/artículo info:eu-repo/semantics/article publishedVersion info:eu-repo/semantics/publishedVersion |