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| 2. |  | SANTOS, A. M.; CONCEIÇÃO, V.; GALANTINI, V.; FEIDEN, A. Açudes como alternativa de sobrevivência no período de estiagem no assentamento Taquaral, em Corumbá, MS. In: SEMINÁRIO INTERNACIONAL DE AGROECOLOGIA DA AMÉRICA DO SUL, 2.; JORNADA INTERNACIONAL DE EDUCAÇÃO DO CAMPO, 1.; SEMINÁRIO DE AGROECOLOGIA DE MATO GROSSO DO SUL, 6; ENCONTRO DE PRODUTORES AGROECOLÓGICOS DE MATO GROSSO DO SUL, 5.; SEMINÁRIO DE SISTEMAS AGROFLORESTAIS EM BASES AGROECOLÓGICAS DE MATO GROSSO DO SUL, 2., 2016, Dourados. Agroecologia e soberania alimentar: saberes em busca do bem viver: anais. Dourados: UFGD, 2016. Não paginado. Agroecol 2016. 1 CD-ROM. Publicado também em: Cadernos de Agroecologia, v. 11, n. 2, 2016.| Biblioteca(s): Embrapa Pantanal. |
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| 18. | | FRANZ, I.; CONCEIÇÃO, V. da; AMORIM, A.; ABREU, P. G. de; ABREU, V. M. N. Mapeamento da distribuição da temperatura em sistema de aquecimento para aves. In: CONGRESSO BRASILEIRO DE PRODUÇÃO ANIMAL SUSTENTÁVEL., 2, 2012, Chapecó, SC. Anais... Concórdia: Embrapa Suínos e Aves, 2012. p. 165-168. Projeto: 02.10.06.002.| Biblioteca(s): Embrapa Suínos e Aves. |
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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: |
LEADER 03278naa a2200469 a 4500
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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