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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
22/11/2006 |
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Data da última atualização: |
04/04/2024 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
AMORIM, L. B.; MENDES, A. M. S.; LIMA, J. A. G.; DUDA, G. P. |
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Afiliação: |
ALESSANDRA MONTEIRO SALVIANO MENDES, CPATSA. |
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Título: |
Mapeamento da probabilidade de resposta à adubação para banana em função da variabilidade do estado nutricional das plantas - micronutrientes. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 27.; REUNIÃO BRASILEIRA SOBRE MICIRRIZAS, 11; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 9,; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 6,. Bonito, 2006. A busca das raízes: anais. Dourados: Embrapa Agropecuária Oeste, 2006. |
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Descrição Física: |
1 CD-ROM. |
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Série: |
(Embrapa Agropecuária Oeste. Documentos, 82). |
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Idioma: |
Português |
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Conteúdo: |
Este trabalho teve como objetivo mapear a probabilidade de resposta à adubação para micronutrientes em área comercial de produção de banana, na região do Vale do Assu, utilizando o procedimento de krigagem indicatriz para estimar isolinhas de probabilidades de resposta à adubação com micronutrientes pela bananeira a partir da variabilidade dos teores foliares destes nas plantas. |
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Palavras-Chave: |
Fertbio 2006; Fruticultura irrigada; Mapeamento; Variabilidade espacial. |
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Thesagro: |
Adubação; Banana. |
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Thesaurus Nal: |
Bananas. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPATSA/34338/1/OPB1006.pdf
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Marc: |
LEADER 01429nam a2200253 a 4500
001 1157887
005 2024-04-04
008 2006 bl uuuu u00u1 u #d
100 1 $aAMORIM, L. B.
245 $aMapeamento da probabilidade de resposta à adubação para banana em função da variabilidade do estado nutricional das plantas - micronutrientes.
260 $aIn: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 27.; REUNIÃO BRASILEIRA SOBRE MICIRRIZAS, 11; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 9,; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 6,. Bonito, 2006. A busca das raízes: anais. Dourados: Embrapa Agropecuária Oeste$c2006
300 $c1 CD-ROM.
490 $a(Embrapa Agropecuária Oeste. Documentos, 82).
520 $aEste trabalho teve como objetivo mapear a probabilidade de resposta à adubação para micronutrientes em área comercial de produção de banana, na região do Vale do Assu, utilizando o procedimento de krigagem indicatriz para estimar isolinhas de probabilidades de resposta à adubação com micronutrientes pela bananeira a partir da variabilidade dos teores foliares destes nas plantas.
650 $aBananas
650 $aAdubação
650 $aBanana
653 $aFertbio 2006
653 $aFruticultura irrigada
653 $aMapeamento
653 $aVariabilidade espacial
700 1 $aMENDES, A. M. S.
700 1 $aLIMA, J. A. G.
700 1 $aDUDA, G. P.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
08/06/2022 |
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Data da última atualização: |
22/12/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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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. |
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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. |
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Título: |
Mapping and characterizing social-ecological land systems of South America. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Ecology and Society: a Journal of Integrative Science for Resilience and Sustainability, v. 27, n. 2, 27, 2022. |
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DOI: |
https://doi.org/10.5751/ES-13066-270227 |
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Idioma: |
Inglês |
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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 |
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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. |
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Categoria do assunto: |
-- |
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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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