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| 3. |  | MADRUGA, M. S.; REZER, J. S.; LIMA, A. W. O.; MELO, H. M. G. de. Condições microbiológicas de vísceras caprinas processadas em um micro-abatedouro e exposta à venda ao consumidor, Higiene Alimentar, São Paulo, v. 18, n. 118, p. 60-64, mar. 2004| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
01/12/2014 |
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Data da última atualização: |
03/12/2014 |
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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: |
SAATCHI, S.; MASCARO, J.; XU, L.; KELLER, M.; YANG, Y.; DUFFY, P.; ESPÍRITO-SANTO, F.; BACCINI, A.; CHAMBERS, J.; SCHIMEL, D. |
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Afiliação: |
SASSAN SAATCHI, NASA; JOSEPH MASCARO, American Association for the Advancement; LIANG XU, University of California; MICHAEL KELLER, Pesquisador visitante - CNPM/USDA; YAN YANG, University of California; PAUL DUFFY, Neptune and Company; FERNANDO ESPÍRITO-SANTO, NASA; ALESSANDRO BACCINI, The Woods Hole Research Center; JEFFERY CHAMBERS, University of California; DAVID SCHIMEL, NASA. |
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Título: |
Seeing the forest beyond the trees. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Global Ecology and Biogeography, v. 23, n. 11, p. 1-5, nov. 2014. |
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DOI: |
10.1111/geb.12256 |
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Idioma: |
Inglês |
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Notas: |
Artigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite. |
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Conteúdo: |
In a recent paper (Mitchard et al. 2014, Global Ecology and Biogeography, 23, 935?946) a new map of forest biomass based on a geostatistical model of field data for the Amazon (and surrounding forests) was presented and contrasted with two earlier maps based on remotesensing data Saatchi et al. (2011; RS1) and Baccini et al. (2012; RS2). Mitchard et al. concluded that both the earlier remote-sensing based maps were incorrect because they did not conform to Mitchard et al. interpretation of the field-based results. In making their case, however, they misrepresented the fundamental nature of primary field and remote-sensing data and committed critical errors in their assumptions about the accuracy of research plots, the interpolation methodology and the statistical analysis. By ignoring the large uncertainty associated with ground estimates of biomass and the significant under-sampling and spatial bias of research plots, Mitchard et al. reported erroneous trends and artificial patterns of biomass over Amazonia. Because of these misrepresentations and methodological flaws, we find their critique of the satellite-derived maps to be invalid. |
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Palavras-Chave: |
Spatial modelling; Tree height. |
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Thesaurus NAL: |
Allometry; Biomass; Lidar; Remote sensing; Tropical forests; Wood density. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/112639/1/4195.pdf
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Marc: |
LEADER 02114naa a2200349 a 4500
001 2001136
005 2014-12-03
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1111/geb.12256$2DOI
100 1 $aSAATCHI, S.
245 $aSeeing the forest beyond the trees.$h[electronic resource]
260 $c2014
500 $aArtigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite.
520 $aIn a recent paper (Mitchard et al. 2014, Global Ecology and Biogeography, 23, 935?946) a new map of forest biomass based on a geostatistical model of field data for the Amazon (and surrounding forests) was presented and contrasted with two earlier maps based on remotesensing data Saatchi et al. (2011; RS1) and Baccini et al. (2012; RS2). Mitchard et al. concluded that both the earlier remote-sensing based maps were incorrect because they did not conform to Mitchard et al. interpretation of the field-based results. In making their case, however, they misrepresented the fundamental nature of primary field and remote-sensing data and committed critical errors in their assumptions about the accuracy of research plots, the interpolation methodology and the statistical analysis. By ignoring the large uncertainty associated with ground estimates of biomass and the significant under-sampling and spatial bias of research plots, Mitchard et al. reported erroneous trends and artificial patterns of biomass over Amazonia. Because of these misrepresentations and methodological flaws, we find their critique of the satellite-derived maps to be invalid.
650 $aAllometry
650 $aBiomass
650 $aLidar
650 $aRemote sensing
650 $aTropical forests
650 $aWood density
653 $aSpatial modelling
653 $aTree height
700 1 $aMASCARO, J.
700 1 $aXU, L.
700 1 $aKELLER, M.
700 1 $aYANG, Y.
700 1 $aDUFFY, P.
700 1 $aESPÍRITO-SANTO, F.
700 1 $aBACCINI, A.
700 1 $aCHAMBERS, J.
700 1 $aSCHIMEL, D.
773 $tGlobal Ecology and Biogeography$gv. 23, n. 11, p. 1-5, nov. 2014.
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Embrapa Territorial (CNPM) |
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