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| Registros recuperados : 29 | |
| 4. |  | JONS, V. L.; NELSON, B.; MCMULLEN, M. Downy mildew (Sclerophthora macrospora) of wheat, barley, and oats in north Dakota. Plant Disease, St. Paul, v. 70, n. 9, p. 892, 1986.| Biblioteca(s): Embrapa Trigo. |
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| 5. | | MENDES, N. B.; NELSON, B. W.; MILLER, R. P. Levantamento das espécies arbóreas da região de Manaus - Amazonas. Revista do Instituto Florestal, São Paulo, v. 4, pt. 1, p. 332-338, mar. 1992. Edição dos Anais do Congresso Florestal de Essências Nativas, 2., 1992, São Paulo. Edição especial.| Biblioteca(s): Embrapa Florestas. |
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| 7. | | SALATI, E.; RIBEIRO, M. de N. G.; ABSY, M. L.; NELSON, B. W. Clima da Amazonia: presente, passado e futuro. In: VAL, A.L.; FIGLIUOLO, R.; FELDBERG, E., ed. Bases cientificas para estrategias de preservacao e desenvolvimento da Amazonia: fatos e perspectivas. Manaus: INPA, 1991. v.1, p.21-34.| Biblioteca(s): Embrapa Rondônia. |
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| 8. | | MORGAN, E. B.; NELSON, B. D.; BROWN, T. F.; McCORMICK, M. E.; SAXTON, A. Comparison of alfalfa, ryegrass, and triticale haylages and corn and sorghum silages with lactating Holstein cows, 1987. Annual Progress Report. Louisiana State University, Southeast Research Station, p. 95-106, 1987.| Biblioteca(s): Embrapa Trigo. |
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| 10. | | OLIVEIRA, A. A. de; FERREIRA, L. V.; LLERAS PEREZ, E.; NELSON, B. W.; ALMEIDA, S. S. A flora fanerogâmica amazônica: composição, diversidade, endemismo e conservação. In: ARAÚJO, E. de L.; MOURA, A. do N.; SAMPAIO, E. V. de S. B.; GESTINARI, L. M. de S.; CARNEIRO, J. de M. T. (Ed.). Biodiversidade, conservação e uso sustentável da flora do Brasil. Recife: Sociedade Botânica do Brasil: Universidade Federal Rural de Pernambuco, 2002. p. 15-18.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 12. | | NELSON, B. W.; MESQUITA, R.; PEREIRA, J. L. G.; SOUZA, S. G. A. de; BATISTA, G. T.; COUTO, L. B. Allometric regressions for improved estimate of secondary forest biomass in the central Amazon. Forest Ecology and Management, v. 117, n. 1, p. 149-167, 1999.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 14. | | MERTES, L. A. K.; DANIEL, D. L.; MELACK, J. M.; NELSON, B.; MARTINELLI, A.; FORSBERG, B. R. Spatial patterns of hydrology, geomorphology and vegetation on the floodplain of the Amazon River in Brazil from a remote sensing perspective. Geomorphology, v.13, p.215-232, 1995.| Biblioteca(s): Embrapa Pantanal. |
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| 15. | | EICHHORN JUNIOR, M. M.; OLIVER, W. M.; HALLMARK, W. B.; YOUNG, W. A.; DAVIS, A. V.; NELSON, B. D. Grazer: a new bermudagrass for pastures and moderate hay production. Louisiana Agriculture, v. 29, n. 1, p. 5-7, 1985.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| 16. | | THRO, A. M.; SHOCK, C. C.; NELSON, B. D.; PETERSON, F. J.; COCO, A. B.; BROWN, L. P.; WIER, A. T. Aeschynomene and other summer legumes in Louisiana. Louisiana Agric., v.30, n.4, p.6-8, 1987.| Biblioteca(s): Embrapa Agrobiologia. |
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| 17. | | NELSON, B.; TAVARES, J.; WU, J.; VALERIANO, D.; LOPES, A.; MAROSTICA, S.; MARTINS, G.; PROHASKA, N.; ALBERT, L.; ARAUJO, A. de; MANZI, A.; SALESKA, S.; HUETE, A. Seasonality of Central Amazon Forest Leaf Flush Using Tower-Mounted RGB Camera. In: AGU FALL MEETING, 2014, San Francisco. [Proceedings]. [San Francisco]: AGU, 2014.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 18. | | OLIVEIRA, M. V. N. d'; FIGUEIREDO, E. O.; ALMEIDA, D. R. A. de; OLIVEIRA, L. C. de; SILVA, C. A.; NELSON, B. W.; CUNHA, R. M. da; PAPA, D. de A.; STARK, S. C.; VALBUENA, R. Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence. Forest Ecology and Management, v. 500, 119648, Nov. 2021.| Biblioteca(s): Embrapa Acre. |
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| 19. | | KOMIYA, S.; ARAUJO, A. C. de; LAVRIC, J. V.; NELSON, B.; SÖRGEL, M.; WEBER, B.; BOTIA, S.; GOMES-ALVES, E.; WALTER, D.; SÁ, M. de O.; WOLFF, S.; PINHO, D. M.; KONDO, F.; TRUMBORE, S. Seasonal and interannual variations of carbon fluxes at the Amazon Tall Tower Observatory site in 2014-2019. In: EGU GENERAL ASSEMBLY, 2022, Viena. Programme. [S.l.]: EGU, 2022.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 20. | | WU, J.; KOBAYASHI, H.; STARK, S. C.; MENG, R.; GUAN, K.; TRAN, N. N.; GAO, S.; YANG, W.; RESTREPO-COUPE, N.; MIURA, T.; OLIVEIRA JUNIOR, R. C. de; ROGERS, A.; DYE, D. G.; NELSON, B. W.; SERBIN, S. P.; HUETE, A. R.; SALESKA, S. R. Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. New Phytologist, v. 217, n. 4, p. 1507-1520, Mar. 2018.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 29 | |
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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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