Mapping and characterizing social-ecological land systems of South America.

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.

Resumen:

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 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. Copyright © 2022 by the author(s).


Detalles Bibliográficos
2022
Automatization
Hierarchical clustering
Multidisciplinary data
Participatory mapping
Social-ecological mapping
Inglés
Instituto Nacional de Investigación Agropecuaria
AINFO
http://www.ainfo.inia.uy/consulta/busca?b=pc&id=63581&biblioteca=vazio&busca=63581&qFacets=63581
Acceso abierto
_version_ 1805580533452767232
author ZARBÁ, L.
author2 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.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author_facet 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.
author_role author
bitstream.checksum.fl_str_mv 9f8093006cca4c44c945e6251bf2a54b
bitstream.checksumAlgorithm.fl_str_mv MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/2313/1/sword-2022-10-20T23%3a07%3a24.original.xml
collection AINFO
dc.creator.none.fl_str_mv 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.
dc.date.accessioned.none.fl_str_mv 2022-10-21T02:07:24Z
dc.date.available.none.fl_str_mv 2022-10-21T02:07:24Z
dc.date.issued.none.fl_str_mv 2022
dc.date.updated.none.fl_str_mv 2022-10-21T02:07:24Z
dc.description.abstract.none.fl_txt_mv 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 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. Copyright © 2022 by the author(s).
dc.identifier.none.fl_str_mv http://www.ainfo.inia.uy/consulta/busca?b=pc&id=63581&biblioteca=vazio&busca=63581&qFacets=63581
dc.language.iso.none.fl_str_mv en
eng
dc.rights.es.fl_str_mv Acceso abierto
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:AINFO
instname:Instituto Nacional de Investigación Agropecuaria
instacron:Instituto Nacional de Investigación Agropecuaria
dc.subject.none.fl_str_mv Automatization
Hierarchical clustering
Multidisciplinary data
Participatory mapping
Social-ecological mapping
dc.title.none.fl_str_mv Mapping and characterizing social-ecological land systems of South America.
dc.type.none.fl_str_mv Article
PublishedVersion
info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description 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 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. Copyright © 2022 by the author(s).
eu_rights_str_mv openAccess
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repository.name.fl_str_mv AINFO - Instituto Nacional de Investigación Agropecuaria
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spelling 2022-10-21T02:07:24Z2022-10-21T02:07:24Z20222022-10-21T02:07:24Zhttp://www.ainfo.inia.uy/consulta/busca?b=pc&id=63581&biblioteca=vazio&busca=63581&qFacets=63581ABSTRACT.- 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 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. Copyright © 2022 by the author(s).https://hdl.handle.net/20.500.12381/2313enenginfo:eu-repo/semantics/openAccessAcceso abiertoAutomatizationHierarchical clusteringMultidisciplinary dataParticipatory mappingSocial-ecological mappingMapping and characterizing social-ecological land systems of South America.ArticlePublishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:AINFOinstname:Instituto Nacional de Investigación Agropecuariainstacron:Instituto Nacional de Investigación AgropecuariaZARBÁ, 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.SWORDsword-2022-10-20T23:07:24.original.xmlOriginal SWORD entry documentapplication/octet-stream3817https://redi.anii.org.uy/jspui/bitstream/20.500.12381/2313/1/sword-2022-10-20T23%3a07%3a24.original.xml9f8093006cca4c44c945e6251bf2a54bMD5120.500.12381/23132022-10-20 23:07:25.014oai:redi.anii.org.uy:20.500.12381/2313Gobiernohttp://inia.uyhttps://redi.anii.org.uy/oai/requestlorrego@inia.org.uyUruguayopendoar:2022-10-21T02:07:25AINFO - Instituto Nacional de Investigación Agropecuariafalse
spellingShingle Mapping and characterizing social-ecological land systems of South America.
ZARBÁ, L.
Automatization
Hierarchical clustering
Multidisciplinary data
Participatory mapping
Social-ecological mapping
status_str publishedVersion
title 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_short Mapping and characterizing social-ecological land systems of South America.
title_sort Mapping and characterizing social-ecological land systems of South America.
topic Automatization
Hierarchical clustering
Multidisciplinary data
Participatory mapping
Social-ecological mapping
url http://www.ainfo.inia.uy/consulta/busca?b=pc&id=63581&biblioteca=vazio&busca=63581&qFacets=63581