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| Registros recuperados : 49 | |
| 3. |  | CARVALHO, A. M.; BUSTAMANTE, M. M. C. Decomposição de resíduos vegetais e efeitos em carbono, nitrogênio e fósforo do solo sob sistemas convencional e plantio direto. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 28.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 12.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 10.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 7., 2008, Londrina. FertBio 2008: desafios para o uso do solo com eficiência e qualidade ambiental: anais. Londrina: SBCS: Embrapa Soja: IAPAR: UEL, 2008. 1 CD-ROM.| Biblioteca(s): Embrapa Cerrados. |
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| 16. | | BUSTAMANTE, M. M. C.; KOZOVITS, A. R.; SILVA, L. F.; DUARTE, G. F.; CASTRO, A. A. Assimilacao de nitrato e taxas fotossinteticas de tres especies lenhosas de cerrado. In: LEITE, L.L.; SAITO, C.H., ed. Contribuicao ao conhecimento ecologico do cerrado. Brasilia: UnB, 1997. p.49-53. Trabalho apresentado no 3o. Congresso de Ecologia do Brasil, Brasilia, 1996.| Biblioteca(s): Embrapa Cerrados. |
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| 17. | | PARRON, L. M.; BUSTAMANTE, M. M. C.; MARKEWITZ, D.; PRADO, C. L. Availability of Nutrients in Solutions in a Gallery Forest of Cerrado Biome. In: CONFERÊNCIA CIENTÍFICA DO LBA, 3., 2004, Brasília, DF. Anais de trabalhos completos. Brasília, DF: LBA, 2004. Resumo 37.11-P.| Biblioteca(s): Embrapa Florestas. |
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| 19. | | PARRON, L. M.; BUSTAMANTE, M. M. C.; CAMARGO, P.; PRADO, C. L.; MARTINELLI, L. A. Isotopic composition of soils and plants in a gallery forest of cerrado biome: effect of topographic gradient. In: CONFERÊNCIA CIENTÍFICA DO LBA, 3., 2004, Brasília, DF. Anais de trabalhos completos. Brasília, DF: LBA, 2004. Resumo 27.6-P.| Biblioteca(s): Embrapa Florestas. |
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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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001 2036717
005 2022-05-25
008 2016 bl uuuu u00u1 u #d
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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