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Registro Completo |
Biblioteca(s): |
Embrapa Pantanal. |
Data corrente: |
31/03/1993 |
Data da última atualização: |
31/03/1993 |
Autoria: |
SANTOS, A. P. dos; KUX, H. J.; SAUSEN, T. M.; BUENO, A. M. T. R.; NUNES, J. S. D. |
Afiliação: |
Instituto Nacional de Pesquisas Espaciais (Sao Jose dos Campos, SP); TERRASUL (Campo Grande, MS); INAMB (Campo Grande, MS). |
Título: |
Mapeamento do uso da terra e da geomorfologia na area do projeto Apapore, MS, atraves de dados do satelite Landsat. |
Ano de publicação: |
1982 |
Fonte/Imprenta: |
Sao Jose dos Campos: INPE, 1982. |
Volume: |
v.1 |
Páginas: |
68p. |
Série: |
(INPE-2564-RPE/423). |
Idioma: |
Português |
Conteúdo: |
Este trabalho apresenta o mapeamento do uso da terra e da geomorfologia da area do Projeto APAPORE, no Estado de Mato Grosso do Sul. O trabalho foi realizado atraves da interpretacao visual de imagens MSS/LANDSAT, canais 5 e 7, e de imagens RBV/LANDSAT, ambas na escala 1:250.000, de 1980. Os resultados mostram que a regiao e predominantement pastoril, e que as areas agricolas estao concentradas nos municipios ao norte da area de estudo. A area de cerradao e bastante significativa, possibilitando, desta forma, o avanco da fronteira agropastoril. O mapeamento geomorfologico podera fornecer subsidios para o planejamento da ocupacao da terra em areas ainda pouco desenvolvidas dentro da regiao estudada. |
Palavras-Chave: |
Mapeamento; Mapping; Mato Grosso do Sul; Project; Projeto apapore. |
Thesagro: |
Geomorfologia. |
Thesaurus Nal: |
geomorphology. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01453nam a2200265 a 4500 001 1795141 005 1993-03-31 008 1982 bl uuuu 00u1 u #d 100 1 $aSANTOS, A. P. dos 245 $aMapeamento do uso da terra e da geomorfologia na area do projeto Apapore, MS, atraves de dados do satelite Landsat. 260 $aSao Jose dos Campos: INPE$c1982 300 $a68p. v.1 490 $a(INPE-2564-RPE/423).$vv.1 520 $aEste trabalho apresenta o mapeamento do uso da terra e da geomorfologia da area do Projeto APAPORE, no Estado de Mato Grosso do Sul. O trabalho foi realizado atraves da interpretacao visual de imagens MSS/LANDSAT, canais 5 e 7, e de imagens RBV/LANDSAT, ambas na escala 1:250.000, de 1980. Os resultados mostram que a regiao e predominantement pastoril, e que as areas agricolas estao concentradas nos municipios ao norte da area de estudo. A area de cerradao e bastante significativa, possibilitando, desta forma, o avanco da fronteira agropastoril. O mapeamento geomorfologico podera fornecer subsidios para o planejamento da ocupacao da terra em areas ainda pouco desenvolvidas dentro da regiao estudada. 650 $ageomorphology 650 $aGeomorfologia 653 $aMapeamento 653 $aMapping 653 $aMato Grosso do Sul 653 $aProject 653 $aProjeto apapore 700 1 $aKUX, H. J. 700 1 $aSAUSEN, T. M. 700 1 $aBUENO, A. M. T. R. 700 1 $aNUNES, J. S. D.
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Embrapa Pantanal (CPAP) |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
08/06/2022 |
Data da última atualização: |
22/12/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
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. MenosABSTRACT. 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... Mostrar Tudo |
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: |
-- |
Marc: |
LEADER 03344naa a2200517 a 4500 001 2143841 005 2022-12-22 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.5751/ES-13066-270227$2DOI 100 1 $aZARBÁ, L. 245 $aMapping and characterizing social-ecological land systems of South America.$h[electronic resource] 260 $c2022 520 $aABSTRACT. 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. 653 $aAutomatização 653 $aAutomatization 653 $aClusterização hierárquica 653 $aDados multidisciplinares 653 $aHierarchical clustering 653 $aMapeamento 653 $aMapeamento participatório 653 $aMapeamento socioecológico 653 $aMultidisciplinary data 653 $aParticipatory mapping 653 $aSistema socioecológico da América do Sul 653 $aSocial-ecological mapping 700 1 $aPIQUER-RODRÍGUEZ, M. 700 1 $aBOILLAT, S. 700 1 $aLEVERS, C. 700 1 $aGASPARRI, I. 700 1 $aAIDE, T. M. 700 1 $aÁLVAREZ-BERRÍOS, N. L. 700 1 $aANDERSON, L. O 700 1 $aARAOZ, E. 700 1 $aARIMA, E. 700 1 $aBATISTELLA, M. 700 1 $aCALDERÓN-LOOR, M. 700 1 $aECHEVERRÍA, C. 700 1 $aGONZALEZ-ROGLICH, M. 700 1 $aJOBBÁGY, E. G. 700 1 $aMATHEZ-STIEFEL, S. L. 700 1 $aRAMIREZ-REYES, C. 700 1 $aPACHECO, A. 700 1 $aVALLEJOS, M. 700 1 $aYOUNG, K. R. 700 1 $aGRAU, R. 773 $tEcology and Society: a Journal of Integrative Science for Resilience and Sustainability$gv. 27, n. 2, 27, 2022.
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