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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: |
12/08/2015 |
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Data da última atualização: |
28/01/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HONG, J.; GRUNWALD, S.; VASQUES, G. M. |
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Afiliação: |
JINSEOK HONG, EAST TENNESSEE STATE UNIVERSITY; SABINE GRUNWALD, UNIVERSITY OF FLORIDA; GUSTAVO DE MATTOS VASQUES, CNPS. |
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Título: |
Soil phosphorus landscape models for precision soil conservation. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Journal of Environmental Quality, Madison, v. 44, n. 3, p. 739-753, 2015. |
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DOI: |
10.2134/jeq2014.09.0379 |
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Idioma: |
Inglês |
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Conteúdo: |
Phosphorus (P) enrichment in soils has been documented in the Santa Fe River watershed (SFRW, 3585 km2) in north-central Florida. Yet the environmental factors that control P distribution in soils across the landscape, with potential contribution to water quality impairment, are not well understood. The main goal of this study was to develop soil-landscape P models to support a "precision soil conservation" approach combining fine-scale (i.e., site-specific) and coarse-scale (i.e., watershed-extent) assessment of soil P. The specific objectives were to: (i) identify those environmental properties that impart the most control on the spatial distribution of soil Mehlich-1 extracted P (MP) in the SFRW; (ii) model the spatial patterns of soil MP using geostatistical methods; and (iii) assess model quality using independent validation samples. Soil MP data at 137 sites were fused with spatially explicit environmental covariates to develop soil MP prediction models using univariate (lognormal kriging, LNK) and multivariate methods (regression kriging, RK, and cokriging, CK). Incorporation of exhaustive environmental data into multivariate models (RK and CK) improved the prediction of soil MP in the SFRW compared with the univariate model (LNK), which relies solely on soil measurements. Among all tested environmental covariates, land use and vegetation related properties (topsoil) and geologic data (subsoil) showed the largest predictive power to build inferential models for soil MP. Findings from this study contribute to a better understanding of spatially explicit interactions between soil P and other environmental variables, facilitating improved land resource management while minimizing adverse risks to the environment. MenosPhosphorus (P) enrichment in soils has been documented in the Santa Fe River watershed (SFRW, 3585 km2) in north-central Florida. Yet the environmental factors that control P distribution in soils across the landscape, with potential contribution to water quality impairment, are not well understood. The main goal of this study was to develop soil-landscape P models to support a "precision soil conservation" approach combining fine-scale (i.e., site-specific) and coarse-scale (i.e., watershed-extent) assessment of soil P. The specific objectives were to: (i) identify those environmental properties that impart the most control on the spatial distribution of soil Mehlich-1 extracted P (MP) in the SFRW; (ii) model the spatial patterns of soil MP using geostatistical methods; and (iii) assess model quality using independent validation samples. Soil MP data at 137 sites were fused with spatially explicit environmental covariates to develop soil MP prediction models using univariate (lognormal kriging, LNK) and multivariate methods (regression kriging, RK, and cokriging, CK). Incorporation of exhaustive environmental data into multivariate models (RK and CK) improved the prediction of soil MP in the SFRW compared with the univariate model (LNK), which relies solely on soil measurements. Among all tested environmental covariates, land use and vegetation related properties (topsoil) and geologic data (subsoil) showed the largest predictive power to build inferential models for soil M... Mostrar Tudo |
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Palavras-Chave: |
Modelo de precisão. |
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Thesagro: |
Conservação do solo; Fósforo. |
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Thesaurus Nal: |
Phosphorus; Precision. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02383naa a2200217 a 4500
001 2021794
005 2016-01-28
008 2015 bl uuuu u00u1 u #d
024 7 $a10.2134/jeq2014.09.0379$2DOI
100 1 $aHONG, J.
245 $aSoil phosphorus landscape models for precision soil conservation.$h[electronic resource]
260 $c2015
520 $aPhosphorus (P) enrichment in soils has been documented in the Santa Fe River watershed (SFRW, 3585 km2) in north-central Florida. Yet the environmental factors that control P distribution in soils across the landscape, with potential contribution to water quality impairment, are not well understood. The main goal of this study was to develop soil-landscape P models to support a "precision soil conservation" approach combining fine-scale (i.e., site-specific) and coarse-scale (i.e., watershed-extent) assessment of soil P. The specific objectives were to: (i) identify those environmental properties that impart the most control on the spatial distribution of soil Mehlich-1 extracted P (MP) in the SFRW; (ii) model the spatial patterns of soil MP using geostatistical methods; and (iii) assess model quality using independent validation samples. Soil MP data at 137 sites were fused with spatially explicit environmental covariates to develop soil MP prediction models using univariate (lognormal kriging, LNK) and multivariate methods (regression kriging, RK, and cokriging, CK). Incorporation of exhaustive environmental data into multivariate models (RK and CK) improved the prediction of soil MP in the SFRW compared with the univariate model (LNK), which relies solely on soil measurements. Among all tested environmental covariates, land use and vegetation related properties (topsoil) and geologic data (subsoil) showed the largest predictive power to build inferential models for soil MP. Findings from this study contribute to a better understanding of spatially explicit interactions between soil P and other environmental variables, facilitating improved land resource management while minimizing adverse risks to the environment.
650 $aPhosphorus
650 $aPrecision
650 $aConservação do solo
650 $aFósforo
653 $aModelo de precisão
700 1 $aGRUNWALD, S.
700 1 $aVASQUES, G. M.
773 $tJournal of Environmental Quality, Madison$gv. 44, n. 3, p. 739-753, 2015.
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Registro original: |
Embrapa Solos (CNPS) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas; Embrapa Semiárido. |
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Data corrente: |
16/01/2023 |
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Data da última atualização: |
22/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 5 |
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Autoria: |
DRUMOND, M. A.; RIBASKI, J.; MORAES, S. A. de; OLIVEIRA, V. R. de; TAVARES, J. A.; VOLTOLINI, T. V. |
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Afiliação: |
MARCOS ANTONIO DRUMOND, CPATSA; JORGE RIBASKI, CNPF; SALETE ALVES DE MORAES, CPATSA; VISELDO RIBEIRO DE OLIVEIRA, CPATSA; JOSÉ ALVES TAVARES, IPA; TADEU VINHAS VOLTOLINI, CPATSA. |
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Título: |
Silvipastoral system of eucalyptus and dedigitaria grass in Chapada do Araripe, Pernambuco, Brazil |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
South Florida Journal of Environmental and Animal Science, v. 2, n. 4, p. 316-325, 2022. |
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ISSN: |
2769-3252 |
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Idioma: |
Inglês |
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Conteúdo: |
The Chapada do Araripe region, in Brazil, is an important gypsum producer, with high energy demand for the industrial process. Currently, the main source of energy is the wood from the Caatinga vegetation. Aiming to reduce deforestation and boost the regional gypsum industry, eucalyptus has been indicated as an alternative for energy generation. Integrated systems of eucalyptus with adapted forage plant is a strategy to ensure stability and diversify production systems, increasing the supply of wood for energy and fodder for animal feed. The present study was implemented in 2008, in the experimental station of the Agronomic Institute of Pernambuco - IPA, in the municipality of Araripina-PE. The experiment consisted of five 5000 m2 plots, three of eucalyptus intercropped with grass: 1) eucalyptus at spacing of 6 m x 6 m + digitaria grass, 2) eucalyptus at spacing of 12 m x 6 m + digitaria grass and 3) eucalyptus at spacing of 12 m x 12 m + digitaria grass and two controls: 4) monoculture of eucalyptus planted at spacing of 3 m x 3 m and 5) monoculture of digitaria grass. At six years of age, it was observed that among the livestock-forest integration systems tested, the 6 m x 6 m spacing (278 trees/ha) provided the best yields in wood volume and forage biomass production. |
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Palavras-Chave: |
Agrosilvicultura; Alternativa energética; Chapada do Araripe; Indústria regional de gipsita; Integração pecuária-floresta; Processo industrial; Produção de gesso; Semiárido; Sistema silvopastoril. |
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Thesagro: |
Caatinga; Desmatamento; Eucalipto; Gesso. |
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Thesaurus NAL: |
Eucalyptus. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1150998/1/Silvipastoral-system-of-eucalyptus-and-dedigitaria-grass-in-Chapada-do-Araripe-2022.pdf
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Marc: |
LEADER 02380naa a2200361 a 4500
001 2150998
005 2024-02-22
008 2022 bl uuuu u00u1 u #d
022 $a2769-3252
100 1 $aDRUMOND, M. A.
245 $aSilvipastoral system of eucalyptus and dedigitaria grass in Chapada do Araripe, Pernambuco, Brazil$h[electronic resource]
260 $c2022
520 $aThe Chapada do Araripe region, in Brazil, is an important gypsum producer, with high energy demand for the industrial process. Currently, the main source of energy is the wood from the Caatinga vegetation. Aiming to reduce deforestation and boost the regional gypsum industry, eucalyptus has been indicated as an alternative for energy generation. Integrated systems of eucalyptus with adapted forage plant is a strategy to ensure stability and diversify production systems, increasing the supply of wood for energy and fodder for animal feed. The present study was implemented in 2008, in the experimental station of the Agronomic Institute of Pernambuco - IPA, in the municipality of Araripina-PE. The experiment consisted of five 5000 m2 plots, three of eucalyptus intercropped with grass: 1) eucalyptus at spacing of 6 m x 6 m + digitaria grass, 2) eucalyptus at spacing of 12 m x 6 m + digitaria grass and 3) eucalyptus at spacing of 12 m x 12 m + digitaria grass and two controls: 4) monoculture of eucalyptus planted at spacing of 3 m x 3 m and 5) monoculture of digitaria grass. At six years of age, it was observed that among the livestock-forest integration systems tested, the 6 m x 6 m spacing (278 trees/ha) provided the best yields in wood volume and forage biomass production.
650 $aEucalyptus
650 $aCaatinga
650 $aDesmatamento
650 $aEucalipto
650 $aGesso
653 $aAgrosilvicultura
653 $aAlternativa energética
653 $aChapada do Araripe
653 $aIndústria regional de gipsita
653 $aIntegração pecuária-floresta
653 $aProcesso industrial
653 $aProdução de gesso
653 $aSemiárido
653 $aSistema silvopastoril
700 1 $aRIBASKI, J.
700 1 $aMORAES, S. A. de
700 1 $aOLIVEIRA, V. R. de
700 1 $aTAVARES, J. A.
700 1 $aVOLTOLINI, T. V.
773 $tSouth Florida Journal of Environmental and Animal Science$gv. 2, n. 4, p. 316-325, 2022.
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Embrapa Semiárido (CPATSA) |
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