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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia; Embrapa Semiárido; Embrapa Solos. |
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Data corrente: |
08/02/2021 |
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Data da última atualização: |
03/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MENEZES, R. S. C.; SALES, A. T.; PRIMO, D. C.; ALBUQUERQUE, E. R. G. M. de; JESUS, K. N. de; PAREYN, F. G. C.; SANTANA, M. da S.; SANTOS, U. J. dos; MARTINS, J. C. R.; ALTHOFF, T. D.; NASCIMENTO, D. M. do; GOUVEIA, R. F.; FERNANDES, M. M.; LOUREIRO, D. C.; ARAUJO FILHO, J. C. de; GIONGO, V.; DUDA, G. P.; ALVES, B. J. R.; IVO, W. M. P. de M.; ANDRADE, E. M. de; PINTO, A. de S.; SAMPAIO, E. V. de S. B. |
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Afiliação: |
RÔMULO SIMÕES CEZAR MENEZES, UFPE; ALDO TORRES SALES, UFPE; DÁRIO COSTA PRIMO, UFPE; ELIZA ROSÁRIO GOMES MARINHO DE ALBUQUERQUE, ASSOCIAÇÃO PLANTAS DO NORDESTE; KENNEDY NASCIMENTO DE JESUS, FACULDADES DE ENFERMAGEM NOVA ESPERANÇA; FRANS GERMAIN CORNEEL PAREYN, ASSOCIAÇÃO PLANTAS DO NORDESTE; MÔNICA DA SILVA SANTANA, UFCE; UEMESON JOSÉ DOS SANTOS, UFPE; JÚLIO CÉSAR RODRIGUES MARTINS, FACULDADES DE ENFERMAGEM NOVA ESPERANÇA; TIAGO DINIZ ALTHOFF, UFPE; DIEGO MARCELINO DO NASCIMENTO, UFPE; RAFAEL FEITOSA GOUVEIA, UFS; MILTON MARQUES FERNANDES, UFS; DIEGO CAMPANA LOUREIRO, UFS; JOSE COELHO DE ARAUJO FILHO, CNPS; VANDERLISE GIONGO, CPATSA; GUSTAVO PEREIRA DUDA, UFAPE; BRUNO JOSE RODRIGUES ALVES, CNPAB; WALANE MARIA PEREIRA DE MELLO IVO, CPATC; EUNICE MAIA DE ANDRADE, UFERSA; ALEXANDRE DE SIQUEIRA PINTO, UFS; EVERARDO VALADARES DE SÁ BARRETTO SAMPAIO, UFPE. |
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Título: |
Soil and vegetation carbon stocks after land-use changes in a seasonally dry tropical forest. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Geoderma, v. 390, 114943, May 2021. |
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DOI: |
https://doi.org/10.1016/j.geoderma.2021.114943 |
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Idioma: |
Inglês |
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Conteúdo: |
The lack of robust scientific data still hinders estimates of soil and plant carbon (C) losses due to land-use changes in most dry tropical ecosystems. The present study investigated the effects of land-use and cover changes on total ecosystem C stocks in NE Brazil, aiming to quantify C losses after the removal of the native forest, known as Caatinga. The sampling design included the four main land-use/cover types (Dense Caatinga, Open Caatinga, Pastures and Crop fields) and the seven main soil classes (Arenosols, Acrisols, Regosols, Ferrasols, Luvisols, Planosols, and Leptosols), a combination that represents over 90% of the region. This design resulted in 192 sampling points (48 in each land-use), distributed proportionally to the area of occurrence of each soil class. In each sampling point, we determined C stocks in soil organic matter (SOM) and roots (to a depth of 1 m or rock layer), aboveground vegetation biomass (trees and herbs, separately), deadwood, and surface litter. Areas covered by Dense Caatinga store, on average, nearly 125 Mg ha-1 of C. Most of this C is stored in the soil organic matter (72.1%), followed by aboveground biomass (15.9%), belowground biomass (7.3%), deadwood (2.9%), litter (1.3%), and herbaceous biomass (0.5%). The substitution of Dense Caatinga to plant pastures and crop fields caused losses of >50% of ecosystem C stocks, reaching almost 65 Mg ha-1 of C, with nearly equal losses from the SOM and vegetation biomass compartments. Open Caatinga store nearly 30% less C than Dense Caatinga. Contrary to what was expected, the overall differences in C stocks between soil classes were not significant, with a few exceptions. We expect that the findings of this study will contribute to a more robust inventory of GHG emissions/removals due to land-use changes in NE Brazil and other dry tropical regions of the globe. MenosThe lack of robust scientific data still hinders estimates of soil and plant carbon (C) losses due to land-use changes in most dry tropical ecosystems. The present study investigated the effects of land-use and cover changes on total ecosystem C stocks in NE Brazil, aiming to quantify C losses after the removal of the native forest, known as Caatinga. The sampling design included the four main land-use/cover types (Dense Caatinga, Open Caatinga, Pastures and Crop fields) and the seven main soil classes (Arenosols, Acrisols, Regosols, Ferrasols, Luvisols, Planosols, and Leptosols), a combination that represents over 90% of the region. This design resulted in 192 sampling points (48 in each land-use), distributed proportionally to the area of occurrence of each soil class. In each sampling point, we determined C stocks in soil organic matter (SOM) and roots (to a depth of 1 m or rock layer), aboveground vegetation biomass (trees and herbs, separately), deadwood, and surface litter. Areas covered by Dense Caatinga store, on average, nearly 125 Mg ha-1 of C. Most of this C is stored in the soil organic matter (72.1%), followed by aboveground biomass (15.9%), belowground biomass (7.3%), deadwood (2.9%), litter (1.3%), and herbaceous biomass (0.5%). The substitution of Dense Caatinga to plant pastures and crop fields caused losses of >50% of ecosystem C stocks, reaching almost 65 Mg ha-1 of C, with nearly equal losses from the SOM and vegetation biomass compartments. Open Caatinga... Mostrar Tudo |
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Palavras-Chave: |
Ecossistema Caatinga; Estoque do carbono; Estoques do ecossistema; Semiárido. |
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Thesagro: |
Caatinga; Desmatamento; Dióxido de Carbono; Floresta Tropical; Mudança Climática; Solo; Uso da Terra; Vegetação. |
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Thesaurus Nal: |
Carbon; Carbon dioxide; Deforestation; Land use; Land use change; Vegetation. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03564naa a2200601 a 4500
001 2130671
005 2021-11-03
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.geoderma.2021.114943$2DOI
100 1 $aMENEZES, R. S. C.
245 $aSoil and vegetation carbon stocks after land-use changes in a seasonally dry tropical forest.$h[electronic resource]
260 $c2021
520 $aThe lack of robust scientific data still hinders estimates of soil and plant carbon (C) losses due to land-use changes in most dry tropical ecosystems. The present study investigated the effects of land-use and cover changes on total ecosystem C stocks in NE Brazil, aiming to quantify C losses after the removal of the native forest, known as Caatinga. The sampling design included the four main land-use/cover types (Dense Caatinga, Open Caatinga, Pastures and Crop fields) and the seven main soil classes (Arenosols, Acrisols, Regosols, Ferrasols, Luvisols, Planosols, and Leptosols), a combination that represents over 90% of the region. This design resulted in 192 sampling points (48 in each land-use), distributed proportionally to the area of occurrence of each soil class. In each sampling point, we determined C stocks in soil organic matter (SOM) and roots (to a depth of 1 m or rock layer), aboveground vegetation biomass (trees and herbs, separately), deadwood, and surface litter. Areas covered by Dense Caatinga store, on average, nearly 125 Mg ha-1 of C. Most of this C is stored in the soil organic matter (72.1%), followed by aboveground biomass (15.9%), belowground biomass (7.3%), deadwood (2.9%), litter (1.3%), and herbaceous biomass (0.5%). The substitution of Dense Caatinga to plant pastures and crop fields caused losses of >50% of ecosystem C stocks, reaching almost 65 Mg ha-1 of C, with nearly equal losses from the SOM and vegetation biomass compartments. Open Caatinga store nearly 30% less C than Dense Caatinga. Contrary to what was expected, the overall differences in C stocks between soil classes were not significant, with a few exceptions. We expect that the findings of this study will contribute to a more robust inventory of GHG emissions/removals due to land-use changes in NE Brazil and other dry tropical regions of the globe.
650 $aCarbon
650 $aCarbon dioxide
650 $aDeforestation
650 $aLand use
650 $aLand use change
650 $aVegetation
650 $aCaatinga
650 $aDesmatamento
650 $aDióxido de Carbono
650 $aFloresta Tropical
650 $aMudança Climática
650 $aSolo
650 $aUso da Terra
650 $aVegetação
653 $aEcossistema Caatinga
653 $aEstoque do carbono
653 $aEstoques do ecossistema
653 $aSemiárido
700 1 $aSALES, A. T.
700 1 $aPRIMO, D. C.
700 1 $aALBUQUERQUE, E. R. G. M. de
700 1 $aJESUS, K. N. de
700 1 $aPAREYN, F. G. C.
700 1 $aSANTANA, M. da S.
700 1 $aSANTOS, U. J. dos
700 1 $aMARTINS, J. C. R.
700 1 $aALTHOFF, T. D.
700 1 $aNASCIMENTO, D. M. do
700 1 $aGOUVEIA, R. F.
700 1 $aFERNANDES, M. M.
700 1 $aLOUREIRO, D. C.
700 1 $aARAUJO FILHO, J. C. de
700 1 $aGIONGO, V.
700 1 $aDUDA, G. P.
700 1 $aALVES, B. J. R.
700 1 $aIVO, W. M. P. de M.
700 1 $aANDRADE, E. M. de
700 1 $aPINTO, A. de S.
700 1 $aSAMPAIO, E. V. de S. B
773 $tGeoderma$gv. 390, 114943, May 2021.
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Registro original: |
Embrapa Solos (CNPS) |
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URL |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
04/12/2014 |
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Data da última atualização: |
04/12/2014 |
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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: |
GUIMARAES, C. C.; SIMEONE, M. L. F.; PARRELLA, R. A. C.; SENA, M. M. |
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Afiliação: |
CRISTIANE DE CARVALHO GUIMARAES, CNPMS; MARIA LUCIA FERREIRA SIMEONE, CNPMS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS. |
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Título: |
Use of NIRS to predict composition and bioethanol yield from cell wall structural components of sweet sorghum biomass. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Microchemical Journal, New York, v. 117, p. 194-201, 2014. |
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DOI: |
10.1016/j.microc.2014.06.029 |
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Idioma: |
Inglês |
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Conteúdo: |
Sweet sorghum biomass is gaining importance as feedstock for second generation bioethanol production. Consequently, breeding programs are seeking to improve the quality of this feedstock in order to increase the productivity, with the generation of a great number of samples to be analyzed. Thus, this paper developed rapid and low cost methods based on partial least squares (PLS) and near infrared reflectance spectroscopy for determining cellulose, hemicellulose, lignin and theoretical ethanol yield (TEY) in sorghum biomass. The models were built with 957 samples, obtained from more than 100 hybrids and inbred strains, in the ranges of 21.4–49.1% w/w, 18.4–34.8% w/w, 1.8–11.5% w/w and 221–412 L t?1 for cellulose, hemicellulose, lignin and TEY, respectively. These models presented root mean square errors of prediction of 1.5%, 1.7%, 0.8% and 12 L t?1 (and ranges of relative errors of prediction between ?5.3 and 6.5%, ?9.8 and 12.2%, ?28.8 and 37.6%, and?5.6 and 6.1%), respectively. The methods were submitted to a complete multivariate analytical validation in accordance with the Brazilian and international guidelines, and considered accurate, linear, sensitive and unbiased. Finally the stability of these methods was monitored for approximately six months by developing appropriate control charts. |
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Palavras-Chave: |
Espectroscopia no infravermelho próximo; Multivariate analytical validation; Near infrared spectroscopy; Saccharine sorghum; Sorgo sacarino; Validação analítica multivariada. |
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Thesagro: |
Biocombustível; Celulose; Lignina; Sorgo açucareiro. |
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Thesaurus NAL: |
Biofuels; Cellulose; Lignin. |
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Categoria do assunto: |
W Química e Física |
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Marc: |
LEADER 02353naa a2200325 a 4500
001 2001603
005 2014-12-04
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1016/j.microc.2014.06.029$2DOI
100 1 $aGUIMARAES, C. C.
245 $aUse of NIRS to predict composition and bioethanol yield from cell wall structural components of sweet sorghum biomass.$h[electronic resource]
260 $c2014
520 $aSweet sorghum biomass is gaining importance as feedstock for second generation bioethanol production. Consequently, breeding programs are seeking to improve the quality of this feedstock in order to increase the productivity, with the generation of a great number of samples to be analyzed. Thus, this paper developed rapid and low cost methods based on partial least squares (PLS) and near infrared reflectance spectroscopy for determining cellulose, hemicellulose, lignin and theoretical ethanol yield (TEY) in sorghum biomass. The models were built with 957 samples, obtained from more than 100 hybrids and inbred strains, in the ranges of 21.4–49.1% w/w, 18.4–34.8% w/w, 1.8–11.5% w/w and 221–412 L t?1 for cellulose, hemicellulose, lignin and TEY, respectively. These models presented root mean square errors of prediction of 1.5%, 1.7%, 0.8% and 12 L t?1 (and ranges of relative errors of prediction between ?5.3 and 6.5%, ?9.8 and 12.2%, ?28.8 and 37.6%, and?5.6 and 6.1%), respectively. The methods were submitted to a complete multivariate analytical validation in accordance with the Brazilian and international guidelines, and considered accurate, linear, sensitive and unbiased. Finally the stability of these methods was monitored for approximately six months by developing appropriate control charts.
650 $aBiofuels
650 $aCellulose
650 $aLignin
650 $aBiocombustível
650 $aCelulose
650 $aLignina
650 $aSorgo açucareiro
653 $aEspectroscopia no infravermelho próximo
653 $aMultivariate analytical validation
653 $aNear infrared spectroscopy
653 $aSaccharine sorghum
653 $aSorgo sacarino
653 $aValidação analítica multivariada
700 1 $aSIMEONE, M. L. F.
700 1 $aPARRELLA, R. A. C.
700 1 $aSENA, M. M.
773 $tMicrochemical Journal, New York$gv. 117, p. 194-201, 2014.
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Embrapa Milho e Sorgo (CNPMS) |
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