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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. |
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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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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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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Biblioteca |
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| Registros recuperados : 18 | |
| 4. |  | ANDERSON-TEIXEIRA, K. J.; SNYDER, P. K.; TWINE, T. E.; CUADRA, S. V.; COSTA, M. H.; DELUCIA, E. H. Climate-regulation services of natural and agricultural ecoregions of the Americas. Nature Climate Change, v. 2, n. 10, P. 177-181, 2012.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 2 |
| Biblioteca(s): Embrapa Clima Temperado. |
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| 6. | | LIMA, L. S. de; SOARES FILHO, B.; COE, M. T.; CUADRA, S. V.; DIAS, L. C.; COSTA, M. H. Deforestation, climate, and water regimes interactions in the southwestern Amazon. In: IUFRO LANDSCAPE ECOLOGY WORKING GROUP INTERNATIONAL CONFERENCE, 2012, Concepción. Sustaining humans and forests in changing landscapes: forests, society and global change: conference book. Concepción: University of Concepción: Austral University of Chile: Catholic University of Temuco, 2012. p. 24| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Clima Temperado. |
|  |
| 8. | | RIBEIRO, B. M.; GATTI, C. D. C.; COSTA, M. H.; MOSCARDI, F.; MARUNIAK, J. E.; POSSEE, R. D.; ZANOTTO, P. M. A. Construction of a recombinant Anticarsia gemmatalis nucleopolyhedrovirus (AgMNPV-2D) harbouring the B-galactosidase gene. Archives of Virology, New York, v. 146, v.7, p. 1355-1367, Jul. 2001.| Biblioteca(s): Embrapa Soja. |
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| 9. | | COSTA, M. H. DA; RAMOS, A. F. L. H.; OTENIO, M. H.; MARANGON, P. B.; EVARISTO, C. J.; MARÇOLA, Y.; GOMES, M.; CESAR, E. D. Estrutura de comunidade microbiana durante compostagem de carcaça bovina. In: CONGRESSO BRASILEIRO DE MICROBIOLOGIA, 27., 2013, Natal. Anais... [Natal]: Sociedade Brasileira de Microbiologia, 2013.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 10. | | LIMA, L. S.; COE, M. T.; SOARES FILHO, B. S.; CUADRA, S. V.; DIAS, L. C. P.; COSTA, M. H.; LIMA, L. S.; RODRIGUES, H. O. Feedbacks between deforestation, climate, and hydrology in the Southwestern Amazon: implications for the provision of ecosystem services. Landscape Ecology (on line)| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Clima Temperado. |
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| 11. | | GIL, J. D. B.; GARRETT, R. D.; ROTZ, A.; DAIOGLOU, V.; VALENTIM, J. F.; PIRES, G. F.; COSTA, M. H.; LOPES, L. B.; REIS, J. C. dos. Tradeoffs in the quest for climate smart agricultural intensification in Mato Grosso, Brazil. Environmental Research Letters, v. 13, n. 6, 064025, 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Acre; Embrapa Agrossilvipastoril. |
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| 12. | | CUADRA, S. V.; COSTA, M. H.; KUCHARIK, C. J.; ROCHA, H. R. da; TATSCH, J. D.; INMAN-BAMBER, G.; ROCHA, R. P. da; LEITE, C. C.; CABRAL, O. M. R. A biophysical model of Sugarcane growth. Global Change Biology. Bioenergy, v. 4, n. 1, p. 36-48, 2012.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Clima Temperado; Embrapa Meio Ambiente. |
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| 13. | | 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. Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison. Global Change Biology, v. 23, n. 1, p. 191-208, Jan. 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 14. | | POWELL, T. I.; GALBRAITH, D. R.; CHRISTOFFERSEN, B. O.; HARPER, A.; IMBUZEIRO, H. M. A.; ROWLAND, L.; ALMEIDA, S.; BRANDO, P. M.; COSTA, A. C. L. da; COSTA, M. H.; LEVINE, N. M.; MALHI, Y.; SALESKA, S. R.; SOTTA, E.; WILLIAMS, M.; MEIR, P.; MOORCROFT, P. R. Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. New Phytologist, Cambridge, Jul. 2013.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Amapá. |
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| 15. | | RESTREPO-COUPE, N.; ALBERT, L. P.; LONGO, M.; BAKER, I.; LEVINE, N. M.; MERCADO, L. M.; ARAUJO, A. C. de; CHRISTOFFERSEN, B. O.; COSTA, M. H.; FITZJARRALD, D. R.; GALBRAITH, D.; IMBUZEIRO, H.; MALHI, Y.; RANDOW, C. von; ZENG, X.; MOORCROFT, P.; SALESKA, S. R. Understanding water and energy fluxes in the Amazonia: Lessons from an observation-model intercomparison. Global Change Biology, v. 27, n. 9, p. 1802-1819, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 16. | | BUSTAMANTE, M. M. C.; ROITMAN, I.; AIDE, T. M.; ALENCAR, A.; ANDERSON, L. O.; ARAGÃO, L.; ASNER, G. P.; BARLOW, J.; BERENGUER, E.; CHAMBERS, J.; COSTA, M. H.; FANIN, T.; FERREIRA, L. G.; FERREIRA, J.; KELLER, M.; MAGNUSSON, W. E.; MORALES-BARQUERO, L.; MORTON, D.; OMETTO, J. P. H. B.; PALACE, M.; PERES, C. A.; SILVÉRIO, D.; TRUMBORE, S.; VIEIRA, I. C. G. Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity. Global Change Biology, v. 22, n. 1, p. 92-109, Jan. 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Territorial. |
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| 17. | | RANDOW, C. von; ZERI, M.; RESTREPO-COUPE, N.; MUZA, M. N.; GONÇALVES, L. G. G. de; COSTA, M. H.; ARAUJO, A. C.; MANZI, A. O.; ROCHA, H. R. da; SALESKA, S. R.; ARAIN, M. A.; BAKER, I. T.; CESTARO, B. P.; CHRISTOFFERSEN, B.; CIAIS, P.; FISHER, J. B.; GALBRAITH, D.; GUAN, X.; HURK, B. van den; ICHII, K.; IMBUZEIRO, H.; JAIN, A.; LEVINE, N.; MIGUEZ-MACHO, G.; POULTER, B.; ROBERTI, D. R.; SAHOO, A.; SCHAEFER, K.; SHI, M.; TIAN, H.; VERBEECK, H.; YANG, Z.-L. Inter-annual variability of carbon and water fluxes in Amazonian forest, Cerrado and pasture sites, as simulated by terrestrial biosphere models. Agricultural and Forest Meteorology, v. 182-183, p. 144-155, Dec. 2013.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 18. | | CHRISTOFFERSEN, B. O.; RESTREPO-COUPE, N.; ARAIN, M. A.; BAKER, I. T.; CESTARO, B. P.; CIAIS, P.; FISHER, J. B.; GALBRAITH, D.; GUAN, X.; GULDEN, L.; HURK, B. van den; ICHII, K.; IMBUZEIRO, H.; JAIN, A.; LEVINE, N.; MIGUEZ-MACHO, G.; POULTER, B.; ROBERTI, D. R.; SAKAGUCHI, K.; SAHOO, A.; SCHAEFER, K.; SHI, M.; VERBEECK, H.; YANG, Z.-L.; ARAUJO, A. C.; KRUIJT, B.; MANZI, A. O.; ROCHA, H. R. da; RANDOW, C. von; MUZA, M. N.; BORAK, J.; COSTA, M. H.; GONÇALVES, L. G. G. de; ZENG, X.; SALESKA, S. R. Mechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and Cerrado. Agricultural and Forest Meteorology, v. 191, p. 33-50, June 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 18 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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