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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
07/04/2004 |
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Data da última atualização: |
06/06/2005 |
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Autoria: |
SANTOS, R. M. N. dos; PEREIRA, A. R. |
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Título: |
Índice de severidade de seca de Palmer para a região oeste do Estado de São Paulo, Brasil. |
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Ano de publicação: |
1999 |
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Fonte/Imprenta: |
Revista Brasileira de Agrometeorologia, Santa Maria, v. 7, n. 1, p. 139-145, 1999 |
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Idioma: |
Português |
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Conteúdo: |
O presente trabalho teve por objetivo utilizar a metodologia desenvolvida por Palmer (1965), para a identificação e classificação de períodos de seca, adaptando-a às condições climáticas do Estado de São Paulo. |
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Palavras-Chave: |
Índice de severidade de seca; Períodos de seca. |
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Thesagro: |
Balanço Hídrico; Deficiência Hídrica. |
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Categoria do assunto: |
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Marc: |
LEADER 00808naa a2200181 a 4500
001 1008822
005 2005-06-06
008 1999 bl uuuu u00u1 u #d
100 1 $aSANTOS, R. M. N. dos
245 $aÍndice de severidade de seca de Palmer para a região oeste do Estado de São Paulo, Brasil.
260 $c1999
520 $aO presente trabalho teve por objetivo utilizar a metodologia desenvolvida por Palmer (1965), para a identificação e classificação de períodos de seca, adaptando-a às condições climáticas do Estado de São Paulo.
650 $aBalanço Hídrico
650 $aDeficiência Hídrica
653 $aÍndice de severidade de seca
653 $aPeríodos de seca
700 1 $aPEREIRA, A. R.
773 $tRevista Brasileira de Agrometeorologia, Santa Maria$gv. 7, n. 1, p. 139-145, 1999
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Ocidental. Para informações adicionais entre em contato com cpaa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Ocidental. |
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Data corrente: |
20/02/2000 |
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Data da última atualização: |
05/01/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
NELSON, B. W.; MESQUITA, R.; PEREIRA, J. L. G.; SOUZA, S. G. A. de; BATISTA, G. T.; COUTO, L. B. |
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Afiliação: |
INPA; Embrapa Amazonia Ocidental; INPE. |
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Título: |
Allometric regressions for improved estimate of secondary forest biomass in the central Amazon. |
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Ano de publicação: |
1999 |
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Fonte/Imprenta: |
Forest Ecology and Management, v. 117, n. 1, p. 149-167, 1999. |
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Idioma: |
Inglês |
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Conteúdo: |
Estimates of the sequestering of carbon by secondary of forests - wich occupy almost half the deforested area of the Brazilian Amazon - will be improved by the use of accurate allometric relationships for non-destructive measurement of standing biomass and by an evaluation of the suitability of existing equations for application in secondary forest. Species-specific and mixed-species regressions for estimating total above-ground dry weight (DW) were therefore developed using eight abundant secondary forest tree species in the central Amazon. Using only DBH as the input variable, the species-specific equations estimated DW of individual trees an average error of 10%-15%. For the mixed-species equations, developed using 132trees from seven of the wight species (excluding Cecropia, average error in estimating DW of individual trees was 19.8% using only DBH and 15.0% using DBH plus specific density of the wood (SD). Average SD for each species can be substituted without increasing the error of the estimate. Adding total tree hight (H) as an input variable provided only a slight reduction in error to 14.0%. Previously plublished mixed-species biomass regression models, based on primary and secondary forest trees of the Amazon, were also cross-valited against the trees of this study. Two of these models, based on primary forest plots and using only DBH as an input, overstimated biomass by 10%-60% for central Amazonian secondary of forest trees in the size range 5cm-25cm. The overstimate was greatest for the larger trees. Including Cecropia in the test group will make the overstimate even greater. Those published equation using DBH, H. and SD as inputs, wheter from secondary or primary forest plots, showed better agreement with the sample-derived regressions and lower average erros in estimation of individual tree dry weights. MenosEstimates of the sequestering of carbon by secondary of forests - wich occupy almost half the deforested area of the Brazilian Amazon - will be improved by the use of accurate allometric relationships for non-destructive measurement of standing biomass and by an evaluation of the suitability of existing equations for application in secondary forest. Species-specific and mixed-species regressions for estimating total above-ground dry weight (DW) were therefore developed using eight abundant secondary forest tree species in the central Amazon. Using only DBH as the input variable, the species-specific equations estimated DW of individual trees an average error of 10%-15%. For the mixed-species equations, developed using 132trees from seven of the wight species (excluding Cecropia, average error in estimating DW of individual trees was 19.8% using only DBH and 15.0% using DBH plus specific density of the wood (SD). Average SD for each species can be substituted without increasing the error of the estimate. Adding total tree hight (H) as an input variable provided only a slight reduction in error to 14.0%. Previously plublished mixed-species biomass regression models, based on primary and secondary forest trees of the Amazon, were also cross-valited against the trees of this study. Two of these models, based on primary forest plots and using only DBH as an input, overstimated biomass by 10%-60% for central Amazonian secondary of forest trees in the size range 5cm-25cm. The overs... Mostrar Tudo |
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Palavras-Chave: |
Amazonas; Brasil; Manaus; Secondary forest. |
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Thesagro: |
Biomassa; Carbono; Floresta Tropical Úmida. |
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Thesaurus NAL: |
biomass; carbon; tropical rain forests. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02669naa a2200301 a 4500
001 1668672
005 2015-01-05
008 1999 bl uuuu u00u1 u #d
100 1 $aNELSON, B. W.
245 $aAllometric regressions for improved estimate of secondary forest biomass in the central Amazon.
260 $c1999
520 $aEstimates of the sequestering of carbon by secondary of forests - wich occupy almost half the deforested area of the Brazilian Amazon - will be improved by the use of accurate allometric relationships for non-destructive measurement of standing biomass and by an evaluation of the suitability of existing equations for application in secondary forest. Species-specific and mixed-species regressions for estimating total above-ground dry weight (DW) were therefore developed using eight abundant secondary forest tree species in the central Amazon. Using only DBH as the input variable, the species-specific equations estimated DW of individual trees an average error of 10%-15%. For the mixed-species equations, developed using 132trees from seven of the wight species (excluding Cecropia, average error in estimating DW of individual trees was 19.8% using only DBH and 15.0% using DBH plus specific density of the wood (SD). Average SD for each species can be substituted without increasing the error of the estimate. Adding total tree hight (H) as an input variable provided only a slight reduction in error to 14.0%. Previously plublished mixed-species biomass regression models, based on primary and secondary forest trees of the Amazon, were also cross-valited against the trees of this study. Two of these models, based on primary forest plots and using only DBH as an input, overstimated biomass by 10%-60% for central Amazonian secondary of forest trees in the size range 5cm-25cm. The overstimate was greatest for the larger trees. Including Cecropia in the test group will make the overstimate even greater. Those published equation using DBH, H. and SD as inputs, wheter from secondary or primary forest plots, showed better agreement with the sample-derived regressions and lower average erros in estimation of individual tree dry weights.
650 $abiomass
650 $acarbon
650 $atropical rain forests
650 $aBiomassa
650 $aCarbono
650 $aFloresta Tropical Úmida
653 $aAmazonas
653 $aBrasil
653 $aManaus
653 $aSecondary forest
700 1 $aMESQUITA, R.
700 1 $aPEREIRA, J. L. G.
700 1 $aSOUZA, S. G. A. de
700 1 $aBATISTA, G. T.
700 1 $aCOUTO, L. B.
773 $tForest Ecology and Management$gv. 117, n. 1, p. 149-167, 1999.
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