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| 102. |  | SOUZA, L. M. de; SOUSA, D. M. G. de; REIS JUNIOR, F. B. dos; MENDES, I. de C. Carbono da biomassa microbiana em Latossolos determinado por oxidação úmida e combustão a temperatura elevada. Microbial biomass carbon in Oxisol determined by wet oxidation and combustion at high temperature Pesquisa Agropecuária Brasileira, Brasília, DF, v. 50, n. 11, p. 1061-1070, nov. 2015.| Biblioteca(s): Embrapa Cerrados; Embrapa Unidades Centrais. |
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| 103. | | MEGÍAS, E.; REIS JUNIOR, F. B. dos; RIBEIRO, R. A.; OLLERO, F. J.; MEGÍAS, M.; HUNGRIA, M. Draft genome sequence of Pantoea ananatis Strain 1.38, a bacterium isolated from the rhizosphere of Oryza sativa var. puntal that shows biotechnological potential as an inoculant. Genome Announcements, v. 6, n. 4, 2018.| Biblioteca(s): Embrapa Cerrados; Embrapa Soja. |
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| 106. | | MEGÍAS SAAVEDRA, M. E.; REIS JUNIOR, F. B. dos; MOYANO, I.; HUNGRIA, M.; OLLERO MÁRQUEZ, F. J.; MEGÍAS, M. Aplicaciones agronómicas de una nueva especie del género pantoea aislada de plantas de arroz. In: REUNIÃO LATINOAMERICANA DE RIZOBIOLOGIA - RELAR, 27., 2016, Londrina. Fortalecendo as parcerias Sul-Sul: anais. Curitiba: SBCS-NEPAR, 2016. p. 226. Editores: Mariangela Hungria, Douglas Fabiano Gomes, Arnaldo Colozzi Filho.| Biblioteca(s): Embrapa Soja. |
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| 107. | | PIRES, R. de C.; REIS JUNIOR, F. B. dos; ZILLI, J. E.; JAMES, E. K.; SIMON, M. F. Associação simbiótica entre seis espécies do gênero mimosa e bactérias diazotróficas em solos com diferentes características. In: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA CERRADOS. Jovens talentos 2016: resumos. Planaltina, DF: Embrapa Cerrados, 2016. 99 p. p. 41 (Embrapa Cerrados. Documentos, 334). Comissão organizadora: SOUZA, K. W. de; FALEIRO, A. S. G.; SALGUES, A. L. M.; ALONSO, A. M.; CARVALHO, A. M. de; LOBATO, B. R.; CRUZ, C. V.; SOUSA, E. dos S.; PELEGRINELLI, F.; SOARES, J. P. G.; LIMA, J. E. F. W.; ARBUES, J. F. de O.;...| Biblioteca(s): Embrapa Cerrados. |
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| 109. | | RIBEIRO JUNIOR, W. Q.; SANDRI, G. F.; REIS JUNIOR, F. B. dos; REIS, V.; RAMOS, M. L. G. Inoculação de bactérias simbióticas, em genótipos de trigo irrigado em latossolo do Braisl central. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia. Solos nos biomas brasileiros: sustentabilidade e mudanças climáticas. Uberlândia: Sociedade Brasileira de Ciência do Solo, 2011. 1 CD-ROM.| Biblioteca(s): Embrapa Cerrados. |
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| 110. | | RIBEIRO JUNIOR, W. Q.; SANDRI, G. F.; REIS JUNIOR, F. B. dos; REIS, V.; RAMOS, M. L. G. Inoculação de bacterias simbioticas, em genotipos de trigo irrigado em latossolo do brasil central. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia. Solos nos biomas brasileiros: sustentabilidade e mudanças climáticas: anais. [Uberlândia]: SBCS: UFU, ICIAG, 2011.| Biblioteca(s): Embrapa Agrobiologia. |
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| 114. | | MACHADO, C. T. de T.; MACHADO, A. T.; REIS JUNIOR, F. B. dos; VIDAL, M. C.; SILVA, O. G. da. Manejo agroecológico de agroecossistemas em comunidades rurais e assentamentos da Região Centro-Oeste com ênfase nas plantas de cobertura: conceituação, síntese metodológica e experiências locais. In: MACHADO, A. T.; NASS, L. L.; MACHADO, C. T. de T. (Ed. Técnico). Manejo sustentável da agrobiodiversidade nos biomas cerrado e caatinga: com ênfase em comunidades rurais. Planaltina, DF: Embrapa Cerrados, 2011. p. 316-352.| Biblioteca(s): Embrapa Hortaliças. |
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| 119. | | PEIXOTO, R. S.; CHAER, G. M.; FRANCO, N.; REIS JUNIOR, F. B. dos; MENDES, I. de C.; ROSADO, A. S. A decade of land use contributes to changes in the chemistry, biochemistry and bacterial community structures of soils in the Cerrado. Antonie van Leeuwenhoek, v. 98, n. 3, p. 403-413, 2010.| Biblioteca(s): Embrapa Agrobiologia; Embrapa Cerrados. |
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| 120. | | MERCANTE, F. M.; HUNGRIA, M.; MENDES, I. de C.; REIS JUNIOR, F. B. dos; ANDRADE, D. S. Fixação biológica de nitrogênio em adubos verdes. In: LIMA FILHO, O. F. de; AMBROSANO, E. J.; ROSSI, F.; CARLOS, J. A. D. (Ed.). Adubação verde e plantas de cobertura no Brasil: fundamentos e prática. Brasília, DF: Embrapa, 2014. v. 1 p. 307-334| Biblioteca(s): Embrapa Agropecuária Oeste; Embrapa Soja. |
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| Registros recuperados : 273 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
02/01/2017 |
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Data da última atualização: |
20/05/2022 |
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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: |
RESTREPO-COUPE, N.; LEVINE, N. M.; CHRISTOFFERSEN, B. O.; ALBERT, L. P.; WU, J.; COSTA, M. H.; GALBRAITH, D.; IMBUZEIRO, H.; MARTINS, G.; ARAUJO, A. C. da; MALHI, Y. S.; ZENG, X.; MOORCROFT, P.; SALESKA, S. R. |
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Afiliação: |
NATALIA RESTREPO-COUPE, University of Technology Sydney / University of Arizona; NAOMI M. LEVINE, University of Southern California / Harvard University; BRADLEY O. CHRISTOFFERSEN, University of Arizona / Los Alamos National Laboratory; LOREN P. ALBERT, University of Arizona; JIN WU, University of Arizona / Brookhaven National Lab; MARCOS H. COSTA, UFV; DAVID GALBRAITH, University of Leeds; HEWLLEY IMBUZEIRO, UFV; GIORDANE MARTINS, INPA; ALESSANDRO CARIOCA DE ARAUJO, CPATU; YADVINDER S. MALHI, University of Oxford; XUBIN ZENG, University of Arizona; PAUL MOORCROFT, Harvard University; SCOTT R. SALESKA, University of Arizona. |
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Título: |
Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Global Change Biology, v. 23, n. 1, p. 191-208, Jan. 2017. |
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DOI: |
10.1111/gcb.13442 |
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Idioma: |
Inglês |
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Conteúdo: |
To predict forest response to long-term climate change with high confidence requires that dynamic global vegetation models (DGVMs) be successfully tested against ecosystem response to short-term variations in environmental drivers, including regular seasonal patterns. Here, we used an integrated dataset from four forests in the Brasil flux network, spanning a range of dry-season intensities and lengths, to determine how well four state-of-the-art models (IBIS, ED2, JULES, and CLM3.5) simulated the seasonality of carbon exchanges in Amazonian tropical forests. We found that most DGVMs poorly represented the annual cycle of gross primary productivity (GPP), of photosynthetic capacity (Pc), and of other fluxes and pools. Models simulated consistent dry-season declines in GPP in the equatorial Amazon (Manaus K34, Santarem K67, and Caxiuanã CAX); a contrast to observed GPP increases. Model simulated dry-season GPP reductions were driven by an external environmental factor, ?soil water stress? and consequently by a constant or decreasing photosynthetic infrastructure (Pc), while observed dry-season GPP resulted from a combination of internal biological (leaf-flush and abscission and increased Pc) and environmental (incoming radiation) causes. Moreover, we found models generally overestimated observed seasonal net ecosystem exchange (NEE) and respiration (Re) at equatorial locations. In contrast, a southern Amazon forest (Jarú RJA) exhibited dry-season declines in GPP and Re consistent with most DGVMs simulations. While water limitation was represented in models and the primary driver of seasonal photosynthesis in southern Amazonia, changes in internal biophysical processes, light-harvesting adaptations (e.g., variations in leaf area index (LAI) and increasing leaf-level assimilation rate related to leaf demography), and allocation lags between leaf and wood, dominated equatorial Amazon carbon flux dynamics and were deficient or absent from current model formulations. Correctly simulating flux seasonality at tropical forests requires a greater understanding and the incorporation of internal biophysical mechanisms in future model developments. MenosTo predict forest response to long-term climate change with high confidence requires that dynamic global vegetation models (DGVMs) be successfully tested against ecosystem response to short-term variations in environmental drivers, including regular seasonal patterns. Here, we used an integrated dataset from four forests in the Brasil flux network, spanning a range of dry-season intensities and lengths, to determine how well four state-of-the-art models (IBIS, ED2, JULES, and CLM3.5) simulated the seasonality of carbon exchanges in Amazonian tropical forests. We found that most DGVMs poorly represented the annual cycle of gross primary productivity (GPP), of photosynthetic capacity (Pc), and of other fluxes and pools. Models simulated consistent dry-season declines in GPP in the equatorial Amazon (Manaus K34, Santarem K67, and Caxiuanã CAX); a contrast to observed GPP increases. Model simulated dry-season GPP reductions were driven by an external environmental factor, ?soil water stress? and consequently by a constant or decreasing photosynthetic infrastructure (Pc), while observed dry-season GPP resulted from a combination of internal biological (leaf-flush and abscission and increased Pc) and environmental (incoming radiation) causes. Moreover, we found models generally overestimated observed seasonal net ecosystem exchange (NEE) and respiration (Re) at equatorial locations. In contrast, a southern Amazon forest (Jarú RJA) exhibited dry-season declines in GPP and Re consis... Mostrar Tudo |
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Palavras-Chave: |
Carbon dynamics; Dinâmica do carbono; Dynamic global vegetation models; Ecosystem–climate interactions; Florestas tropicais; Modelos dinâmicos de vegetação; Sazonalidade; Seasonality; Tropical forests phenology. |
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Thesagro: |
Fenologia. |
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Thesaurus NAL: |
Amazonia; eddy covariance. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 03473naa a2200433 a 4500
001 2059770
005 2022-05-20
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1111/gcb.13442$2DOI
100 1 $aRESTREPO-COUPE, N.
245 $aDo dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison.$h[electronic resource]
260 $c2017
520 $aTo predict forest response to long-term climate change with high confidence requires that dynamic global vegetation models (DGVMs) be successfully tested against ecosystem response to short-term variations in environmental drivers, including regular seasonal patterns. Here, we used an integrated dataset from four forests in the Brasil flux network, spanning a range of dry-season intensities and lengths, to determine how well four state-of-the-art models (IBIS, ED2, JULES, and CLM3.5) simulated the seasonality of carbon exchanges in Amazonian tropical forests. We found that most DGVMs poorly represented the annual cycle of gross primary productivity (GPP), of photosynthetic capacity (Pc), and of other fluxes and pools. Models simulated consistent dry-season declines in GPP in the equatorial Amazon (Manaus K34, Santarem K67, and Caxiuanã CAX); a contrast to observed GPP increases. Model simulated dry-season GPP reductions were driven by an external environmental factor, ?soil water stress? and consequently by a constant or decreasing photosynthetic infrastructure (Pc), while observed dry-season GPP resulted from a combination of internal biological (leaf-flush and abscission and increased Pc) and environmental (incoming radiation) causes. Moreover, we found models generally overestimated observed seasonal net ecosystem exchange (NEE) and respiration (Re) at equatorial locations. In contrast, a southern Amazon forest (Jarú RJA) exhibited dry-season declines in GPP and Re consistent with most DGVMs simulations. While water limitation was represented in models and the primary driver of seasonal photosynthesis in southern Amazonia, changes in internal biophysical processes, light-harvesting adaptations (e.g., variations in leaf area index (LAI) and increasing leaf-level assimilation rate related to leaf demography), and allocation lags between leaf and wood, dominated equatorial Amazon carbon flux dynamics and were deficient or absent from current model formulations. Correctly simulating flux seasonality at tropical forests requires a greater understanding and the incorporation of internal biophysical mechanisms in future model developments.
650 $aAmazonia
650 $aeddy covariance
650 $aFenologia
653 $aCarbon dynamics
653 $aDinâmica do carbono
653 $aDynamic global vegetation models
653 $aEcosystem–climate interactions
653 $aFlorestas tropicais
653 $aModelos dinâmicos de vegetação
653 $aSazonalidade
653 $aSeasonality
653 $aTropical forests phenology
700 1 $aLEVINE, N. M.
700 1 $aCHRISTOFFERSEN, B. O.
700 1 $aALBERT, L. P.
700 1 $aWU, J.
700 1 $aCOSTA, M. H.
700 1 $aGALBRAITH, D.
700 1 $aIMBUZEIRO, H.
700 1 $aMARTINS, G.
700 1 $aARAUJO, A. C. da
700 1 $aMALHI, Y. S.
700 1 $aZENG, X.
700 1 $aMOORCROFT, P.
700 1 $aSALESKA, S. R.
773 $tGlobal Change Biology$gv. 23, n. 1, p. 191-208, Jan. 2017.
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