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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
08/09/2015 |
Data da última atualização: |
17/05/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
COSTA, T. C. e C. da; SILVA, A. F.; OLIVEIRA, L. M. T. D.; VIANA, J. H. M. |
Afiliação: |
THOMAZ CORREA E CASTRO DA COSTA, CNPMS; JOAO HERBERT MOREIRA VIANA, CNPMS. |
Título: |
Probabilistic classification of tree and shrub vegetation on phytogeographic system. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
Journal of Environmental Science and Engineering B, Libertyville, v. 4, n. 6, p. 315-330, June 2015. |
DOI: |
10.17265/2162-5263/2015.06.003 |
Idioma: |
Inglês |
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. |
Thesagro: |
Árvore; Biogeografia; Vegetação. |
Categoria do assunto: |
-- |
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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Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite; Embrapa Soja. |
Data corrente: |
10/03/2009 |
Data da última atualização: |
23/03/2009 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
MARCELINO, F. C.; GUIMARÃES, M. F. M.; BARROS, E. G. |
Afiliação: |
Marta Fonseca M. Guimarães, Embrapa Gado de Leite. |
Título: |
Comparison between pDNA and gDNA reference materials for quantification of transgenes residues in grains and food. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
In: GLOBAL CONFERENCE ON GMO ANALYSIS. 1. 2008, Anais. Villa Erba, Como, Italy. JRC, 2008. |
Páginas: |
1 p. |
Idioma: |
Inglês |
Palavras-Chave: |
GDNA; Grãos; PDNA; Transgenes residues. |
Categoria do assunto: |
-- |
URL: |
https://gmoglobalconference.jrc.ec.europa.eu/default.htm
https://gmoglobalconference.jrc.ec.europa.eu/docs/BOA%20Final.pdf (Resumo)
https://gmoglobalconference.jrc.ec.europa.eu/2008/Posters/T.2.42%20MARCELINO.pdf (Posters)
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Marc: |
LEADER 00603naa a2200193 a 4500 001 1596404 005 2009-03-23 008 2008 bl --- 0-- u #d 100 1 $aMARCELINO, F. C. 245 $aComparison between pDNA and gDNA reference materials for quantification of transgenes residues in grains and food. 260 $c2008 300 $a1 p. 653 $aGDNA 653 $aGrãos 653 $aPDNA 653 $aTransgenes residues 700 1 $aGUIMARÃES, M. F. M. 700 1 $aBARROS, E. G. 773 $tIn: GLOBAL CONFERENCE ON GMO ANALYSIS. 1. 2008, Anais. Villa Erba, Como, Italy. JRC, 2008.
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