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| 21. |  | DUARTE, A. N. M.; SOARES FILHO, C. V.; CARVALHO, C. L. M. de; TEIXEIRA FILHO, M. C. M.; NOGUEIRA, M. A.; HUNGRIA, M.; ISHIY, A. G.; VALVANO, I. M. Inoculation with plant growth-promoting bacteria and reduction of nitrogen fertilizer in herbage accumulation and nutritional value of Mavuno grass. International Journal for Innovation Education and Research, v. 9, n. 3, p. 16-34, 2021.| Biblioteca(s): Embrapa Soja. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
08/09/2015 |
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Data da última atualização: |
17/05/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
COSTA, T. C. e C. da; SILVA, A. F.; OLIVEIRA, L. M. T. D.; VIANA, J. H. M. |
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Afiliação: |
THOMAZ CORREA E CASTRO DA COSTA, CNPMS; JOAO HERBERT MOREIRA VIANA, CNPMS. |
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Título: |
Probabilistic classification of tree and shrub vegetation on phytogeographic system. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Journal of Environmental Science and Engineering B, Libertyville, v. 4, n. 6, p. 315-330, June 2015. |
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DOI: |
10.17265/2162-5263/2015.06.003 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The phytogeographical system for vegetation classification splits the vegetation in first level types: forest and grasslands. The forest type can be recognized in tropical rain forest and seasonal depending on the environmental conditions. This determines the occurrence of deciduous species in big or small quantity. And the grasslands are Savannah in majority. This work proposed probabilistic methods to classify these vegetation types based on priori occurrence of species. The test was carried out with forest inventory data using ten vegetation fragments in farm of Embrapa and Cascata's park in Sete Lagoas city, Minas Gerais, Brazil. The distribution of species with occurrence in different types was adapted to set theory and Bayes theorem. In this way, it is possible to calculate belonging of species on vegetation types. The results were compared with usual classification. The main contribution of probabilistic methods was to increase the information to classify tree and shrub vegetation inventoried. It is especially recommended for transition regions between vegetation types. |
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Thesagro: |
Árvore; Biogeografia; Vegetação. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01773naa a2200205 a 4500
001 2023414
005 2017-05-17
008 2015 bl uuuu u00u1 u #d
024 7 $a10.17265/2162-5263/2015.06.003$2DOI
100 1 $aCOSTA, T. C. e C. da
245 $aProbabilistic classification of tree and shrub vegetation on phytogeographic system.$h[electronic resource]
260 $c2015
520 $aAbstract: The phytogeographical system for vegetation classification splits the vegetation in first level types: forest and grasslands. The forest type can be recognized in tropical rain forest and seasonal depending on the environmental conditions. This determines the occurrence of deciduous species in big or small quantity. And the grasslands are Savannah in majority. This work proposed probabilistic methods to classify these vegetation types based on priori occurrence of species. The test was carried out with forest inventory data using ten vegetation fragments in farm of Embrapa and Cascata's park in Sete Lagoas city, Minas Gerais, Brazil. The distribution of species with occurrence in different types was adapted to set theory and Bayes theorem. In this way, it is possible to calculate belonging of species on vegetation types. The results were compared with usual classification. The main contribution of probabilistic methods was to increase the information to classify tree and shrub vegetation inventoried. It is especially recommended for transition regions between vegetation types.
650 $aÁrvore
650 $aBiogeografia
650 $aVegetação
700 1 $aSILVA, A. F.
700 1 $aOLIVEIRA, L. M. T. D.
700 1 $aVIANA, J. H. M.
773 $tJournal of Environmental Science and Engineering B, Libertyville$gv. 4, n. 6, p. 315-330, June 2015.
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