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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
28/08/2012 |
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Data da última atualização: |
05/03/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MENDONÇA-SANTOS, M. de L.; SANTOS, H. G. dos; COELHO, M. R. |
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Afiliação: |
MARIA DE LOURDES M SANTOS BREFIN, CNPS; HUMBERTO GONCALVES DOS SANTOS, CNPS; MAURICIO RIZZATO COELHO, CNPS. |
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Título: |
Modelling and digital soil mapping of the organic carbon stock in the topsoil (0-10 cm) of Rio de Janeiro State, Brazil. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: GLOBAL WORKSHOP ON DIGITAL SOIL MAPPING, 3., 2008, Logan, Utah. Bridging research, production, and environmental applications: papers. Logan, UT: University of Utah, 2008. 1 CD-ROM. |
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Idioma: |
Inglês |
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Conteúdo: |
A soil database with 431 soil profiles of Rio de Janeiro State was used in the scope of a research project entitled "Quantifying the magnitude, spatial distribution and organic carbon in soils of Rio de Janeiro State, using quantitative modeling, GIS and database technologies" (Projeto Carbono_RJ, funded by FAPERJ - Carlos Chagas Filho Foundation for Research Support in Rio de Janeiro State). Considering that these soil data were collected to other purpose, there was only a few sparse data to soil bulk density, which is essential to estimate of soil organic carbon (SOC) stock. To face this problem, pedotransfer functions (PTFs) were estimated to be used in the modeling of organic soil carbon of topsoil (0-10 cm), using s.c.o.r.p.a.n model. The following environmental correlates were used as predictor variables: satellite data, lithology and soil maps, DEM (Digital Elevation Model) and its derivatives as source of information for these variables. This dataset, that represents the best organized soil dataset in Brazil, is working as a trial for learning/teaching of Digital Soil Mapping (DSM) using a variety of methods for predicting soil classes and their properties. The "f" of the equation was modeled by means of multilinear analysis and regression-kriging. Seven different models were built and compared through statistical methods. In a general way, all models performed well to predict the SOC stock. Nevertheless, model 6 (M6) was an exceptional model, presenting the smallest AIC e RMSE, due to the use of existing soil information (polygon soil map) as predictor variable, in addition to the variables used in the other models. The result obtained in M6 was used for mapping topsoil carbon stock at spatial resolution of 90 m. MenosA soil database with 431 soil profiles of Rio de Janeiro State was used in the scope of a research project entitled "Quantifying the magnitude, spatial distribution and organic carbon in soils of Rio de Janeiro State, using quantitative modeling, GIS and database technologies" (Projeto Carbono_RJ, funded by FAPERJ - Carlos Chagas Filho Foundation for Research Support in Rio de Janeiro State). Considering that these soil data were collected to other purpose, there was only a few sparse data to soil bulk density, which is essential to estimate of soil organic carbon (SOC) stock. To face this problem, pedotransfer functions (PTFs) were estimated to be used in the modeling of organic soil carbon of topsoil (0-10 cm), using s.c.o.r.p.a.n model. The following environmental correlates were used as predictor variables: satellite data, lithology and soil maps, DEM (Digital Elevation Model) and its derivatives as source of information for these variables. This dataset, that represents the best organized soil dataset in Brazil, is working as a trial for learning/teaching of Digital Soil Mapping (DSM) using a variety of methods for predicting soil classes and their properties. The "f" of the equation was modeled by means of multilinear analysis and regression-kriging. Seven different models were built and compared through statistical methods. In a general way, all models performed well to predict the SOC stock. Nevertheless, model 6 (M6) was an exceptional model, presenting the smallest... Mostrar Tudo |
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Thesagro: |
Carbono; Estoque. |
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Thesaurus Nal: |
Soil organic carbon. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/65152/1/Mendonca-Santos-Session-6.pdf
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Marc: |
LEADER 02449nam a2200169 a 4500
001 1932483
005 2020-03-05
008 2008 bl uuuu u00u1 u #d
100 1 $aMENDONÇA-SANTOS, M. de L.
245 $aModelling and digital soil mapping of the organic carbon stock in the topsoil (0-10 cm) of Rio de Janeiro State, Brazil.$h[electronic resource]
260 $aIn: GLOBAL WORKSHOP ON DIGITAL SOIL MAPPING, 3., 2008, Logan, Utah. Bridging research, production, and environmental applications: papers. Logan, UT: University of Utah, 2008. 1 CD-ROM.$c2008
520 $aA soil database with 431 soil profiles of Rio de Janeiro State was used in the scope of a research project entitled "Quantifying the magnitude, spatial distribution and organic carbon in soils of Rio de Janeiro State, using quantitative modeling, GIS and database technologies" (Projeto Carbono_RJ, funded by FAPERJ - Carlos Chagas Filho Foundation for Research Support in Rio de Janeiro State). Considering that these soil data were collected to other purpose, there was only a few sparse data to soil bulk density, which is essential to estimate of soil organic carbon (SOC) stock. To face this problem, pedotransfer functions (PTFs) were estimated to be used in the modeling of organic soil carbon of topsoil (0-10 cm), using s.c.o.r.p.a.n model. The following environmental correlates were used as predictor variables: satellite data, lithology and soil maps, DEM (Digital Elevation Model) and its derivatives as source of information for these variables. This dataset, that represents the best organized soil dataset in Brazil, is working as a trial for learning/teaching of Digital Soil Mapping (DSM) using a variety of methods for predicting soil classes and their properties. The "f" of the equation was modeled by means of multilinear analysis and regression-kriging. Seven different models were built and compared through statistical methods. In a general way, all models performed well to predict the SOC stock. Nevertheless, model 6 (M6) was an exceptional model, presenting the smallest AIC e RMSE, due to the use of existing soil information (polygon soil map) as predictor variable, in addition to the variables used in the other models. The result obtained in M6 was used for mapping topsoil carbon stock at spatial resolution of 90 m.
650 $aSoil organic carbon
650 $aCarbono
650 $aEstoque
700 1 $aSANTOS, H. G. dos
700 1 $aCOELHO, M. R.
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Registro original: |
Embrapa Solos (CNPS) |
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Biblioteca |
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Registro |
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| Registros recuperados : 211 | |
| 21. |  | MIRANDA, G. J. M.; FREITAS, K. M de; ZILLI, J. E.; COELHO, M. R. R. Caracterização molecular de rizóbio isolados de três espécies de adubo verde por meio de BOX-PCR. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 31.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 15.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 13.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 10., 2014, Araxá. Fertilidade e biologia do solo: integração e tecnologias para todos: anais. Araxá: Núcleo Regional Leste da Sociedade Brasileira de Ciência do Solo, 2014. FertBio 2014.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agrobiologia. |
|   |
| 24. | | COELHO, M. R. R.; VOS, M.; CARNEIRO, N. P.; MARRIEL, I. E.; PAIVA, E.; SELDIN, L. Diversidade molecular de bactérias diazotróficas presentes na rizosfera de sorgo plantado em condições contrastantes de adubo nitrogenado. In: CONGRESSO BRASILEIRO DE MICROBIOLOGIA, 24.; SIMPÓSIO BRASILEIRO DE MICROBACTÉRIAS, 12.; SIMPÓSIO DE COLEÇÕES DE CULTURA, 2.; ENCONTRO DE ENSINO EM MICROBIOLOGIA, 4., 2007, Brasília, DF. Anais. [São Paulo]: SBM, 2007. 1 CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Milho e Sorgo. |
|  |
| 25. | | MATTOS, B. B.; BACA, J. F. M.; VASQUES, G. M.; PEIXOTO, R. C.; COELHO, M. R. Desenvolvimento de método para a avaliação de atributos do solo por fluorescência de Raios-X. In: CONGRESSO LATINO-AMERICANO DE CIÊNCIA DO SOLO, 23.; CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 38., 2023, Florianópolis. Anais [...]. Florianópolis: Epagri, 2023. p. 474. Ref. ID 129.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 28. | | AZEVEDO, J. R. de; BUENO, C. R. P.; COELHO, M. R. Caracterização, classificação, potencialidades e restrições agrícolas de solos em Chapadinha-MA. In: CONGRESO LATINOAMERICANO DE LA CIENCIA DEL SUELO, 20.; CONGRESO PERUANO DE LA CIENCIA DEL SUELO, 16., 2014, Cusco. Educar para preservar el suelo y conservar la vida en la tierra: trabajos. Cusco: Sociedad Latinoamericana de la Ciencia del Suelo, 2014.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 30. | | FERREIRA, Y. M.; FREITAS, K. M. de; ZILLI, J. E.; COELHO, M. R. R. Influência da inoculação de Bradyrhizobium sp. sobre o crescimento de Flemingia macrophylla. In: SEMANA CIENTÍFICA JOHANNA DÖBEREINER, 19, 2019, Seropédica, RJ. Bioeconomia, diversidade e riqueza para o desenvolvimento sustentável. Caderno de resumos... Seropédica: Embrapa Agrobiologia, 2019.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agrobiologia. |
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| 38. | | ALMEIDA, J. A. de; LONGO, A. E. D. V.; LUMBRERAS, J. F.; COELHO, M. R. Fluorescência de raios-X versus ataque sulfúrico para quantificação de óxidos elementares e do índice Ki em solos do Maranhão: problemas e perspectivas. In: SILVA, M. B. e; LUMBRERAS, J. F.; COELHO, M. R.; OLIVEIRA, V. A. de (ed.). Guia de campo da XIII Reunião Brasileira de Classificação e Correlação de Solos: RCC do Maranhão. Brasília, DF: Embrapa, 2020. E-book. cap. 10.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 211 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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