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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
13/10/2008 |
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Data da última atualização: |
11/04/2024 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
MENDONÇA-SANTOS, M. de L.; SANTOS, H. G. dos; DART, R. de O.; PARES, J. G. |
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Afiliação: |
MARIA DE LOURDES MENDONÇA SANTOS BREFIN, CNPS; HUMBERTO GONCALVES DOS SANTOS, CNPS; RICARDO DE OLIVEIRA DART, CNPS; JERÔNIMO GUEDES PARÉS. |
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Título: |
Digital mapping of soil classes in Rio de Janeiro State, Brazil: data, modelling and prediction. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: HARTEMINK, A. E.; McBRATNEY, A.; MENDONÇA-SANTOS, M. de L. (ed.). Digital soil mapping with limited data. Dordrecht: Springer, 2008. cap. 34, p. 381-396. |
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DOI: |
https://doi.org/10.1007/978-1-4020-8592-5_34 |
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Idioma: |
Inglês |
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Conteúdo: |
A soil database for Rio de Janeiro State was collated in Access, for a project on quantifying the magnitude, spatial distribution and organic carbon in the soils of Rio de Janeiro State (Projeto Carbono_RJ). The main activities were the search, selection, analysis and review of the data for each soil profile already described in the study area, the georeferencing of each soil profile (when spatial coordinates were not available) and the input of new soil profiles into a new interface. The Rio de Janeiro soil dataset now contains 731 soil profiles, 2744 soil horizons, and 48 soil attributes usually described at the soil survey process. From this soil dataset, only 431 soil profiles that were adequately geo-located have been used in this application. The dataset contains limited data for bulk density and hydraulic soil properties, among others. From this dataset, quantitative modelling and digital soil mapping have been completed experimentally at 90 m resolution, using soil data and predictor variables, such as satellite images, lithology, a prior soil map and a DEM and its derivates. This dataset, which is one of the more complete soil datasets in Brazil, is being used as a testbed for learning and teaching DSM, using a variety of methods based on the scorpan model (Embrapa, 2006). In the first instance, the soil dataset was used to predict soil classes at the Order level of the Brazilian Soil Classification System ? SiBCS (Embrapa, 2006). Five models were built and their results were compared and mapped. MenosA soil database for Rio de Janeiro State was collated in Access, for a project on quantifying the magnitude, spatial distribution and organic carbon in the soils of Rio de Janeiro State (Projeto Carbono_RJ). The main activities were the search, selection, analysis and review of the data for each soil profile already described in the study area, the georeferencing of each soil profile (when spatial coordinates were not available) and the input of new soil profiles into a new interface. The Rio de Janeiro soil dataset now contains 731 soil profiles, 2744 soil horizons, and 48 soil attributes usually described at the soil survey process. From this soil dataset, only 431 soil profiles that were adequately geo-located have been used in this application. The dataset contains limited data for bulk density and hydraulic soil properties, among others. From this dataset, quantitative modelling and digital soil mapping have been completed experimentally at 90 m resolution, using soil data and predictor variables, such as satellite images, lithology, a prior soil map and a DEM and its derivates. This dataset, which is one of the more complete soil datasets in Brazil, is being used as a testbed for learning and teaching DSM, using a variety of methods based on the scorpan model (Embrapa, 2006). In the first instance, the soil dataset was used to predict soil classes at the Order level of the Brazilian Soil Classification System ? SiBCS (Embrapa, 2006). Five models were built and their re... Mostrar Tudo |
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Palavras-Chave: |
Brasil; Mapeamento digital; Rio de Janeiro. |
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Thesagro: |
Solo. |
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Thesaurus Nal: |
Soil map. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02339naa a2200229 a 4500
001 1337609
005 2024-04-11
008 2008 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/978-1-4020-8592-5_34$2DOI
100 1 $aMENDONÇA-SANTOS, M. de L.
245 $aDigital mapping of soil classes in Rio de Janeiro State, Brazil$bdata, modelling and prediction.$h[electronic resource]
260 $c2008
520 $aA soil database for Rio de Janeiro State was collated in Access, for a project on quantifying the magnitude, spatial distribution and organic carbon in the soils of Rio de Janeiro State (Projeto Carbono_RJ). The main activities were the search, selection, analysis and review of the data for each soil profile already described in the study area, the georeferencing of each soil profile (when spatial coordinates were not available) and the input of new soil profiles into a new interface. The Rio de Janeiro soil dataset now contains 731 soil profiles, 2744 soil horizons, and 48 soil attributes usually described at the soil survey process. From this soil dataset, only 431 soil profiles that were adequately geo-located have been used in this application. The dataset contains limited data for bulk density and hydraulic soil properties, among others. From this dataset, quantitative modelling and digital soil mapping have been completed experimentally at 90 m resolution, using soil data and predictor variables, such as satellite images, lithology, a prior soil map and a DEM and its derivates. This dataset, which is one of the more complete soil datasets in Brazil, is being used as a testbed for learning and teaching DSM, using a variety of methods based on the scorpan model (Embrapa, 2006). In the first instance, the soil dataset was used to predict soil classes at the Order level of the Brazilian Soil Classification System ? SiBCS (Embrapa, 2006). Five models were built and their results were compared and mapped.
650 $aSoil map
650 $aSolo
653 $aBrasil
653 $aMapeamento digital
653 $aRio de Janeiro
700 1 $aSANTOS, H. G. dos
700 1 $aDART, R. de O.
700 1 $aPARES, J. G.
773 $tIn: HARTEMINK, A. E.; McBRATNEY, A.; MENDONÇA-SANTOS, M. de L. (ed.). Digital soil mapping with limited data. Dordrecht: Springer, 2008. cap. 34, p. 381-396.
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Registro original: |
Embrapa Solos (CNPS) |
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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. |
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Data corrente: |
26/07/2023 |
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Data da última atualização: |
26/07/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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Autoria: |
VEDOVATO, L. B.; CARVALHO, L. C. S.; ARAGÃO, L. E. O. C.; BIRD, M.; PHILLIPS, O. L.; ALVAREZ, P.; BARLOW, J.; BARTHOLOMEW, D. C.; BERENGUER, E.; CASTRO, W.; FERREIRA, J. N.; FRANÇA, F. M.; MALHI, Y.; MARIMON, B.; MARIMON JÚNIOR, B. H.; MONTEAGUDO, A.; OLIVEIRA, E. A.; PEREIRA, L. O.; PONTES-LOPES, A.; QUESADA, C. A.; SILVA, C. V. J.; ESPEJO, J. E. S.; SILVEIRA, M.; FELDPAUSCH, T. R. |
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Afiliação: |
LAURA B. VEDOVATO, UNIVERSITY OF EXETER; LIDIANY C. S. CARVALHO, UNIVERSITY OF EXETER; LUIZ E. O. C. ARAGÃO, UNIVERSITY OF EXETER; MICHAEL BIRD, JAMES COOK UNIVERSITY; OLIVER L. PHILLIPS, UNIVERSITY OF LEEDS; PATRÍCIA ALVAREZ, DUKE UNIVERSITY; JOS BARLOW, LANCASTER UNIVERSITY; DAVID C. BARTHOLOMEW, UNIVERSITY OF EXETER; ERIKA BERENGUER, LANCASTER UNIVERSITY; WENDESON CASTRO, UNIVERSIDADE FEDERAL DO ACRE; JOICE NUNES FERREIRA, CPATU; FILIPE M. FRANÇA, UNIVERSITY OF BRISTOL; YADVINDER MALHI, UNIVERSITY OF OXFORD; BEATRIZ MARIMON, UNIVERSIDADE DO ESTADO DE MATO GROSSO; BEN HUR MARIMON JÚNIOR, UNIVERSIDADE DO ESTADO DE MATO GROSSO; ABEL MONTEAGUDO, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; EDMAR A. OLIVEIRA, UNIVERSIDADE DO ESTADO DE MATO GROSSO; LUCIANA O. PEREIRA, UNIVERSITY OF EXETER; ALINE PONTES-LOPES, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; CARLOS A. QUESADA, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA; CAMILA V. J. SILVA, INSTITUTO DE PESQUISA AMBIENTAL DA AMAZÔNIA; JAVIER E. SILVA ESPEJO, UNIVERSIDAD DE LA SERENA; MARCOS SILVEIRA, UNIVERSIDADE FEDERAL DO ACRE; TED R. FELDPAUSCH, UNIVERSITY OF EXETER. |
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Título: |
Ancient fires enhance Amazon forest drought resistance. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Frontiers in Forests and Global Change, v. 6, 1024101, 2023. |
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DOI: |
https://doi.org/10.3389/ffgc.2023.1024101 |
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Idioma: |
Inglês |
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Conteúdo: |
Drought and fire reduce productivity and increase tree mortality in tropical forests. Fires also produce pyrogenic carbon (PyC), which persists in situ for centuries to millennia, and represents a legacy of past fires, potentially improving soil fertility and water holding capacity and selecting for the survival and recruitment of certain tree life-history (or successional) strategies. We investigated whether PyC is correlated with physicochemical soil properties, wood density, aboveground carbon (AGC) dynamics and forest resistance to severe drought. To achieve our aim, we used an Amazon-wide, long-term plot network, in forests without known recent fires, integrating site-specific measures of forest dynamics, soil properties and a unique soil PyC concentration database. We found that forests with higher concentrations of soil PyC had both higher soil fertility and lower wood density. Soil PyC was not associated with AGC dynamics in non-drought years. However, during extreme drought events (10% driest years), forests with higher concentrations of soil PyC experienced lower reductions in AGC gains (woody growth and recruitment), with this drought-immunizing effect increasing with drought severity. Forests with a legacy of ancient fires are therefore more likely to continue to grow and recruit under increased drought severity. Forests with high soil PyC concentrations (third quartile) had 3.8% greater AGC gains under mean drought, but 33.7% greater under the most extreme drought than forests with low soil PyC concentrations (first quartile), offsetting losses of up to 0.68 Mg C ha?1yr?1 of AGC under extreme drought events. This suggests that ancient fires have legacy effects on current forest dynamics, by altering soil fertility and favoring tree species capable of continued growth and recruitment during droughts. Therefore, mature forest that experienced fires centuries or millennia ago may have greater resistance to current short-term droughts. MenosDrought and fire reduce productivity and increase tree mortality in tropical forests. Fires also produce pyrogenic carbon (PyC), which persists in situ for centuries to millennia, and represents a legacy of past fires, potentially improving soil fertility and water holding capacity and selecting for the survival and recruitment of certain tree life-history (or successional) strategies. We investigated whether PyC is correlated with physicochemical soil properties, wood density, aboveground carbon (AGC) dynamics and forest resistance to severe drought. To achieve our aim, we used an Amazon-wide, long-term plot network, in forests without known recent fires, integrating site-specific measures of forest dynamics, soil properties and a unique soil PyC concentration database. We found that forests with higher concentrations of soil PyC had both higher soil fertility and lower wood density. Soil PyC was not associated with AGC dynamics in non-drought years. However, during extreme drought events (10% driest years), forests with higher concentrations of soil PyC experienced lower reductions in AGC gains (woody growth and recruitment), with this drought-immunizing effect increasing with drought severity. Forests with a legacy of ancient fires are therefore more likely to continue to grow and recruit under increased drought severity. Forests with high soil PyC concentrations (third quartile) had 3.8% greater AGC gains under mean drought, but 33.7% greater under the most extreme droug... Mostrar Tudo |
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Palavras-Chave: |
Carbono pirogênico do solo; Composição florestal; Déficit hídrico; Sequestro de carbono. |
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Thesagro: |
Densidade da Madeira; Fertilidade do Solo. |
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Thesaurus NAL: |
Carbon sequestration; Soil fertility; Soil water deficit; Wood density. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 03482naa a2200529 a 4500
001 2155313
005 2023-07-26
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3389/ffgc.2023.1024101$2DOI
100 1 $aVEDOVATO, L. B.
245 $aAncient fires enhance Amazon forest drought resistance.$h[electronic resource]
260 $c2023
520 $aDrought and fire reduce productivity and increase tree mortality in tropical forests. Fires also produce pyrogenic carbon (PyC), which persists in situ for centuries to millennia, and represents a legacy of past fires, potentially improving soil fertility and water holding capacity and selecting for the survival and recruitment of certain tree life-history (or successional) strategies. We investigated whether PyC is correlated with physicochemical soil properties, wood density, aboveground carbon (AGC) dynamics and forest resistance to severe drought. To achieve our aim, we used an Amazon-wide, long-term plot network, in forests without known recent fires, integrating site-specific measures of forest dynamics, soil properties and a unique soil PyC concentration database. We found that forests with higher concentrations of soil PyC had both higher soil fertility and lower wood density. Soil PyC was not associated with AGC dynamics in non-drought years. However, during extreme drought events (10% driest years), forests with higher concentrations of soil PyC experienced lower reductions in AGC gains (woody growth and recruitment), with this drought-immunizing effect increasing with drought severity. Forests with a legacy of ancient fires are therefore more likely to continue to grow and recruit under increased drought severity. Forests with high soil PyC concentrations (third quartile) had 3.8% greater AGC gains under mean drought, but 33.7% greater under the most extreme drought than forests with low soil PyC concentrations (first quartile), offsetting losses of up to 0.68 Mg C ha?1yr?1 of AGC under extreme drought events. This suggests that ancient fires have legacy effects on current forest dynamics, by altering soil fertility and favoring tree species capable of continued growth and recruitment during droughts. Therefore, mature forest that experienced fires centuries or millennia ago may have greater resistance to current short-term droughts.
650 $aCarbon sequestration
650 $aSoil fertility
650 $aSoil water deficit
650 $aWood density
650 $aDensidade da Madeira
650 $aFertilidade do Solo
653 $aCarbono pirogênico do solo
653 $aComposição florestal
653 $aDéficit hídrico
653 $aSequestro de carbono
700 1 $aCARVALHO, L. C. S.
700 1 $aARAGÃO, L. E. O. C.
700 1 $aBIRD, M.
700 1 $aPHILLIPS, O. L.
700 1 $aALVAREZ, P.
700 1 $aBARLOW, J.
700 1 $aBARTHOLOMEW, D. C.
700 1 $aBERENGUER, E.
700 1 $aCASTRO, W.
700 1 $aFERREIRA, J. N.
700 1 $aFRANÇA, F. M.
700 1 $aMALHI, Y.
700 1 $aMARIMON, B.
700 1 $aMARIMON JÚNIOR, B. H.
700 1 $aMONTEAGUDO, A.
700 1 $aOLIVEIRA, E. A.
700 1 $aPEREIRA, L. O.
700 1 $aPONTES-LOPES, A.
700 1 $aQUESADA, C. A.
700 1 $aSILVA, C. V. J.
700 1 $aESPEJO, J. E. S.
700 1 $aSILVEIRA, M.
700 1 $aFELDPAUSCH, T. R.
773 $tFrontiers in Forests and Global Change$gv. 6, 1024101, 2023.
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