Data/hora: 15/06/2024 18:13:13

Biblioteca(s): | Embrapa Agricultura Digital.
Tipo da produção científica: | Artigo em Periódico Indexado
Circulação/Nível: | A - 1
Data corrente: | 08/06/2022
Data da última atualização: | 22/12/2022
Autoria: | 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.; PACHECO, A.; VALLEJOS, M.; YOUNG, K. R.; GRAU, R.
Afiliação: | LUCÍA ZARBÁ, INSTITUTO DE ECOLOGÍA REGIONAL (IER); MARÍA PIQUER-RODRÍGUEZ, IER, FREIE UNIVERSITÄT BERLIN, HUMBOLDT-UNIVERSITÄT ZU BERLIN; SÉBASTIEN BOILLAT, UNIVERSITY OF BERN; CHRISTIAN LEVERS, VRIJE UNIVERSITEIT AMSTERDAM, UNIVERSITY OF BRITISH COLUMBIA; IGNACIO GASPARRI, IER; T. MITCHELL AIDE, UNIVERSITY OF PUERTO RICO - RIO PIEDRAS; NORA L. ÁLVAREZ-BERRÍOS, USDA FOREST SERVICE, INTERNATIONAL INSTITUTE OF TROPICAL FORESTRY, RÍO PIEDRAS, PUERTO RICO; LIANA O. ANDERSON, CEMADEN/MCTI; EZEQUIEL ARAOZ, IER; EUGENIO ARIMA, UNIVERSITY OF TEXAS AT AUSTIN; MATEUS BATISTELLA, CNPTIA; MARCO CALDERÓN-LOOR, DEAKIN UNIVERSITY, UNIVERSIDAD DE LAS AMÉRICAS; CRISTIAN ECHEVERRÍA, UNIVERSIDAD DE CONCEPCIÓN; MILLENNIUM NUCLEUS CENTER FOR THE SOCIOECONOMIC IMPACT OF ENVIRONMENTAL POLICIES, SANTIAGO DE CHILE; MARIANO GONZALEZ-ROGLICH, WILDLIFE CONSERVATION SOCIETY, BUENOS AIRES; ESTEBAN G. JOBBÁGY, GRUPO DE ESTUDIOS AMBIENTALES, IMASL - CONICET AND UNIVERSIDAD NACIONAL DE SAN LUIS; SOUTH AMERICAN INSTITUTE FOR RESILIENCE AND SUSTAINABILITY STUDIES, MALDONADO; SARAH-LAN MATHEZ-STIEFEL, UNIVERSITY OF BERN; CARLOS RAMIREZ-REYES, MISSISSIPPI STATE UNIVERSITY; ANDREA PACHECO, GERMAN CENTRE FOR INTEGRATIVE BIODIVERSITY RESEARCH (IDIV) HALLE-JENA-LEIPZIG; MARÍA VALLEJOS, INIA, UNIVERSIDAD DE BUENOS AIRES; KENNETH R. YOUNG, UNIVERSITY OF TEXAS AT AUSTIN; RICARDO GRAU, IER.
Título: | Mapping and characterizing social-ecological land systems of South America.
Ano de publicação: | 2022
Fonte/Imprenta: | Ecology and Society: a Journal of Integrative Science for Resilience and Sustainability, v. 27, n. 2, 27, 2022.
DOI: | https://doi.org/10.5751/ES-13066-270227
Idioma: | Inglês
Conteúdo: | 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. Landsystem science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generatedspatially 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 embraceda 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 socioeconomicvariable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essentialfor defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematicand operative characterization of South American social-ecological land systems. We propose its use can contribute as a referenceframework for a wide range of applications such as analyzing observations within larger contexts, designing system-specific solutionsfor sustainable development, and structuring hypothesis testing and comparisons across space. Similar efforts could be done elsewherein the world.
Palavras-Chave: | Automatização; Automatization; Clusterização hierárquica; Dados multidisciplinares; Hierarchical clustering; Mapeamento; Mapeamento participatório; Mapeamento socioecológico; Multidisciplinary data; Participatory mapping; Sistema socioecológico da América do Sul; Social-ecological mapping.
Categoria do assunto: | --
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (21217-1) - UPC - AP - DD -  -  -  - DIS