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| Registros recuperados : 17 | |
| 5. |  | HIGUCHI, N.; SANTOS, J. dos; LIMA, A. J. N.; HIGUCHI, F. G.; CHAMBERS, J. Q. A floresta amazônica e a água da chuva. Floresta, Curitiba, v. 41, n. 3, p. 427-434, jul./set. 2011.| Biblioteca(s): Embrapa Florestas. |
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| 7. | | SILVA, R. P.; CHAMBERS, J.; NAKAMURA, S.; AZEVEDO, C. P. de; SANTOS, J. dos; HIGUCHI, N. Padrões de crescimento de espécies arbóreos que ocorrem em diferentes topossequências na região de Manaus-AM. In: SIMPÓSIO DE PÓS GRADUAÇÃO DO INPA/FUA, 1., 1999, Manaus. Caderno de resumos. Manaus: INPA, 1999. p. 49.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 8. | | HIGUCHI, N.; CHAMBERS, J.; SANTOS, J. dos; RIBEIRO, R. J.; PINTO, A. C. M.; SILVA, R. P. da; ROCHA, R. de M.; TRIBUZY, E. S. Dinâmica e balanço do carbono da vegetação primária da Amazônia Central. Floresta, Curitiba, v. 34, n. 3, p. 295-304, set./dez. 2004.| Biblioteca(s): Embrapa Florestas. |
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| 9. | | JARDINE, K. J.; GIMENEZ, B. O.; ARAUJO, A. C.; CUNHA, R. L.; FELIZZOLA, J. F.; PIVA, L. R.; CHAMBERS, J. Q.; HIGUCHI, N. Diurnal pattern of leaf, flower and fruit specific ambient volatiles above an oil palm plantation in Pará State, Brazil. Journal of the Brazilian Chemical Society, v. 27, n. 8, p. 1484-1492, Aug. 2016.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 10. | | NEGRÓN-JUÁREZ, R. I.; HOLM, J. A.; FAYBISHENKO, B.; MAGNABOSCO-MARRA, D.; FISHER, R. A.; SHUMAN, J. K.; ARAUJO, A. C. de; RILEY, W. J.; CHAMBERS, J. Q. Landsat near-infrared (NIR) band and ELM-FATES sensitivity to forest disturbances and regrowth in the Central Amazon. Biogeosciences, v. 17, n. 23, p. 6185-6205, 2020.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 11. | | TEIXEIRA, L. M.; CHAMBERS, J. Q.; SILVA, A. R. e; LIMA, A. J. N.; CARNEIRO, V. M. C.; SANTOS, J. dos; HIGUCHI, N. Projeção da dinâmica da floresta natural de Terra-firme, região de Manaus - AM, com uso da cadeia de transição probabilistíca de markov. Acta Amazonica, Manaus, v. 37, n. 3, p. 377-384, set. 2007.| Biblioteca(s): Embrapa Florestas. |
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| 12. | | SAATCHI, S.; MASCARO, J.; XU, L.; KELLER, M.; YANG, Y.; DUFFY, P.; ESPÍRITO-SANTO, F.; BACCINI, A.; CHAMBERS, J.; SCHIMEL, D. Seeing the forest beyond the trees. Global Ecology and Biogeography, v. 23, n. 11, p. 1-5, nov. 2014. Artigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite.| Biblioteca(s): Embrapa Territorial. |
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| 13. | | SILVA, R. P. da; NAKAMURA, S.; AZEVEDO, C. P. de; CHAMBERS, J.; ROCHA, R. de M.; PINTO, A. C. M.; SANTOS, J. dos; HIGUCHI, N. Uso de banda dendrométrica na definição de padrões de crescimento individual em diâmetro de árvores da bacia do Rio Cuieiras. Acta Amazônica, v. 33, n. 1, p. 67-84, jan./mar. 2003.| Biblioteca(s): Embrapa Amazônia Ocidental; Embrapa Florestas. |
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| 14. | | FONTES, C. G.; DAWSON, T. E.; JARDINE, K.; McDOWELL, N.; GIMENEZ, B. O.; ANDEREGG, L.; NEGRÓN-JUÁREZ, R.; HIGUCHI, N.; FINE, P. V. A.; ARAUJO, A. C. de; CHAMBERS, J. Q. Dry and hot: the hydraulic consequences of a climate change-type drought for Amazonian trees. Philosophical Transactions of the Royal Society B, v. 373, n. 1760, 2018.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 15. | | MENG, L.; CHAMBERS, J.; KOVEN, C.; PASTORELLO, G.; GIMENEZ, B.; JARDINE, K.; TANG, Y.; McDOWELL, N.; NEGRON-JUAREZ, R.; LONGO, M.; ARAUJO, A. C. de; TOMASELLA, J.; FONTES, C.; MOHAN, M.; HIGUCHI, N. Soil moisture thresholds explain a shift from light-limited to water-limited sap velocity in the Central Amazon during the 2015-16 El Niño drought. Environmental Research Letters, v. 17, n. 6, 064023, 2022.| 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.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Territorial. |
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| 17. | | SOLANDER, K. C.; NEWMAN, B. D.; ARAUJO, A. C. de; BARNARD, H. R.; BERRY, Z. C.; BONAL, D.; BRETFELD, M.; BURBAN, B.; CANDIDO, L. A.; CÉLLERI, R.; CHAMBERS, J. Q.; CHRISTOFFERSEN, B. O.; DETTO, M.; DORIGO, W. A.; EWERS, B. E.; FERREIRA, S. J. F.; KNOHL, A.; LEUNG, L. R.; McDOWELL, N. G.; MILLER, G. R.; MONTEIRO, M. T. F.; MOORE, G. W.; NEGRON-JUAREZ, R.; SALESKA, S. R.; STIEGLER, C.; TOMASELLA, J.; XU, C. The pantropical response of soil moisture to El Niño. Hydrology and Earth System Sciences, v. 24, n. 5, p. 2303-2322, 2020.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 17 | |
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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; Embrapa Territorial. |
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Data corrente: |
12/02/2016 |
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Data da última atualização: |
25/05/2022 |
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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: |
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. |
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Afiliação: |
MERCEDES M. C. BUSTAMANTE, UNB; IRIS ROITMAN, UNB; T . MITCHELL AIDE, University of Puerto Rico; ANE ALENCAR, IPAM; LIANA O. ANDERSON, CEMADEN / University of Oxford / INPE; LUIZ ARAGÃO, INPE; GREGORY P. ASNER, Carnegie Institution for Science; JOS BARLOW, Lancaster University / MPEG; ERIKA BERENGUER, Lancaster University; JEFFREY CHAMBERS, University of California; MARCOS H. COSTA, UFV; THIERRY FANIN, Vrije Universiteit Amsterdam; LAERTE G. FERREIRA, UFG; JOICE NUNES FERREIRA, CPATU; MICHAEL KELLER, USDA Forest Service / CNPM; WILLIAM E. MAGNUSSON, INPA; LUCIA MORALES-BARQUERO, Bangor University; DOUGLAS MORTON, NASA Goddard Space Flight Center; JEAN P. H. B. OMETTO, INPE; MICHAEL PALACE, Institute for the Study of Earth, Oceans, and Space; CARLOS A. PERES, University of East Anglia; DIVINO SILVÉRIO, UNB; SUSAN TRUMBORE, Max Planck Institute for Biogeochemistry; IMA C. G. VIEIRA, MPEG. |
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Título: |
Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Global Change Biology, v. 22, n. 1, p. 92-109, Jan. 2016. |
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DOI: |
10.1111/gcb.13087 |
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Idioma: |
Inglês |
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Conteúdo: |
Tropical forests harbor a significant portion of global biodiversity and are a critical component of the climate system. Reducing deforestation and forest degradation contributes to global climate-change mitigation efforts, yet emissions and removals from forest dynamics are still poorly quantified. We reviewed the main challenges to estimate changes in carbon stocks and biodiversity due to degradation and recovery of tropical forests, focusing on three main areas: (1) the combination of field surveys and remote sensing; (2) evaluation of biodiversity and carbon values under a unified strategy; and (3) research efforts needed to understand and quantify forest degradation and recovery. The improvement of models and estimates of changes of forest carbon can foster process-oriented monitoring of forest dynamics, including different variables and using spatially explicit algorithms that account for regional and local differences, such as variation in climate, soil, nutrient content, topography, biodiversity, disturbance history, recovery pathways, and socioeconomic factors. Generating the data for these models requires affordable large-scale remote-sensing tools associated with a robust network of field plots that can generate spatially explicit information on a range of variables through time. By combining ecosystem models, multiscale remote sensing, and networks of field plots, we will be able to evaluate forest degradation and recovery and their interactions with biodiversity and carbon cycling. Improving monitoring strategies will allow a better understanding of the role of forest dynamics in climate-change mitigation, adaptation, and carbon cycle feedbacks, thereby reducing uncertainties in models of the key processes in the carbon cycle, including their impacts on biodiversity, which are fundamental to support forest governance policies, such as Reducing Emissions from Deforestation and Forest Degradation. MenosTropical forests harbor a significant portion of global biodiversity and are a critical component of the climate system. Reducing deforestation and forest degradation contributes to global climate-change mitigation efforts, yet emissions and removals from forest dynamics are still poorly quantified. We reviewed the main challenges to estimate changes in carbon stocks and biodiversity due to degradation and recovery of tropical forests, focusing on three main areas: (1) the combination of field surveys and remote sensing; (2) evaluation of biodiversity and carbon values under a unified strategy; and (3) research efforts needed to understand and quantify forest degradation and recovery. The improvement of models and estimates of changes of forest carbon can foster process-oriented monitoring of forest dynamics, including different variables and using spatially explicit algorithms that account for regional and local differences, such as variation in climate, soil, nutrient content, topography, biodiversity, disturbance history, recovery pathways, and socioeconomic factors. Generating the data for these models requires affordable large-scale remote-sensing tools associated with a robust network of field plots that can generate spatially explicit information on a range of variables through time. By combining ecosystem models, multiscale remote sensing, and networks of field plots, we will be able to evaluate forest degradation and recovery and their interactions with biodiversity... Mostrar Tudo |
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Palavras-Chave: |
Dinâmica florestal; Emissão de carbono; Sensoriamneto remoto. |
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Thesagro: |
Ecossistema; Floresta. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
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024 7 $a10.1111/gcb.13087$2DOI
100 1 $aBUSTAMANTE, M. M. C.
245 $aToward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity.$h[electronic resource]
260 $c2016
520 $aTropical forests harbor a significant portion of global biodiversity and are a critical component of the climate system. Reducing deforestation and forest degradation contributes to global climate-change mitigation efforts, yet emissions and removals from forest dynamics are still poorly quantified. We reviewed the main challenges to estimate changes in carbon stocks and biodiversity due to degradation and recovery of tropical forests, focusing on three main areas: (1) the combination of field surveys and remote sensing; (2) evaluation of biodiversity and carbon values under a unified strategy; and (3) research efforts needed to understand and quantify forest degradation and recovery. The improvement of models and estimates of changes of forest carbon can foster process-oriented monitoring of forest dynamics, including different variables and using spatially explicit algorithms that account for regional and local differences, such as variation in climate, soil, nutrient content, topography, biodiversity, disturbance history, recovery pathways, and socioeconomic factors. Generating the data for these models requires affordable large-scale remote-sensing tools associated with a robust network of field plots that can generate spatially explicit information on a range of variables through time. By combining ecosystem models, multiscale remote sensing, and networks of field plots, we will be able to evaluate forest degradation and recovery and their interactions with biodiversity and carbon cycling. Improving monitoring strategies will allow a better understanding of the role of forest dynamics in climate-change mitigation, adaptation, and carbon cycle feedbacks, thereby reducing uncertainties in models of the key processes in the carbon cycle, including their impacts on biodiversity, which are fundamental to support forest governance policies, such as Reducing Emissions from Deforestation and Forest Degradation.
650 $aEcossistema
650 $aFloresta
653 $aDinâmica florestal
653 $aEmissão de carbono
653 $aSensoriamneto remoto
700 1 $aROITMAN, I.
700 1 $aAIDE, T. M.
700 1 $aALENCAR, A.
700 1 $aANDERSON, L. O.
700 1 $aARAGÃO, L.
700 1 $aASNER, G. P.
700 1 $aBARLOW, J.
700 1 $aBERENGUER, E.
700 1 $aCHAMBERS, J.
700 1 $aCOSTA, M. H.
700 1 $aFANIN, T.
700 1 $aFERREIRA, L. G.
700 1 $aFERREIRA, J.
700 1 $aKELLER, M.
700 1 $aMAGNUSSON, W. E.
700 1 $aMORALES-BARQUERO, L.
700 1 $aMORTON, D.
700 1 $aOMETTO, J. P. H. B.
700 1 $aPALACE, M.
700 1 $aPERES, C. A.
700 1 $aSILVÉRIO, D.
700 1 $aTRUMBORE, S.
700 1 $aVIEIRA, I. C. G.
773 $tGlobal Change Biology$gv. 22, n. 1, p. 92-109, Jan. 2016.
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