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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
30/11/2022 |
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Data da última atualização: |
02/12/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TULIO, R. H.; RACHWAL, M. F. G.; ZANATTA, J. A.; SILVA, K. da; KASCHUK, G. |
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Afiliação: |
RAFAEL HENNEL TULIO; MARCOS FERNANDO GLUCK RACHWAL, CNPF; JOSILEIA ACORDI ZANATTA, CNPF; KRISLE DA SILVA, CNPF; GLACIELA KASCHUK. |
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Título: |
Physical, chemical and microbiological soil attributes influence soil greenhouse gases (GHGs) fluxes in Atlantic Forest and pine (Pinus taeda) plantations in Brazil. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Soil Use and Management, 2022. |
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DOI: |
https://doi.org/10.1111/sum.12864 |
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Idioma: |
Inglês |
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Conteúdo: |
Forest soils can be sources or sinks of greenhouse gases (GHGs) depending on soil attributes that affect biomass and activity of soil microorganisms involved in GHGs fluxes. In this work, we tested the hypothesis that soil physical, chemical, and microbiological attributes, under different forests ecosystems, affect the soil GHGs [nitrous oxide (N2O), carbon dioxide (CO2) and methane (CH4)] fluxes. The study was carried out in two locations in southern Brazil in 2019, with three experimental plots of 900 m2 in native forests of the Atlantic Forest biome and in loblolly pine (Pinus taeda) plantations. Air samples released from the soil surface were analyzed for concentration and flux of CO2, N2O and CH4. Soil samples were analyzed for chemical attributes, density (Ds), soil microporosity (MiPs), soil macroporosity (MaPs), total porosity (TP), water-filled pore space (WFPS), microbial biomass carbon (MB-C), basal respiration (BR), microbial (qMic) and metabolic (qCO2) quotient and activities of soil urease and ?-glucosidase enzymes. The seasons influenced the CO2 and N2O emissions, probably due to changes in seasonal conditions. However, native forests consumed more CH4 than pine plantations. Meanwhile, the native forests presented soils with lower Ds (average 21.5% lower), more TP (average 12.5% higher) and more moisture (average 33% higher), which improved the microbiological attributes of the soil (20% to 60 % more MB-C, 67% higher urease activity and 30% higher ?-glucosidase activity) compared to pine plantations. Native forests contributed more intensely to CH4 consumption than pine plantations because they present better physical, chemical and microbiological soil conditions. Therefore, it is possible that forestry practices that improve soil physical attributes are likely to contribute to increase CH4 consumption, and to reduce GHGs emissions in forest ecosystems MenosForest soils can be sources or sinks of greenhouse gases (GHGs) depending on soil attributes that affect biomass and activity of soil microorganisms involved in GHGs fluxes. In this work, we tested the hypothesis that soil physical, chemical, and microbiological attributes, under different forests ecosystems, affect the soil GHGs [nitrous oxide (N2O), carbon dioxide (CO2) and methane (CH4)] fluxes. The study was carried out in two locations in southern Brazil in 2019, with three experimental plots of 900 m2 in native forests of the Atlantic Forest biome and in loblolly pine (Pinus taeda) plantations. Air samples released from the soil surface were analyzed for concentration and flux of CO2, N2O and CH4. Soil samples were analyzed for chemical attributes, density (Ds), soil microporosity (MiPs), soil macroporosity (MaPs), total porosity (TP), water-filled pore space (WFPS), microbial biomass carbon (MB-C), basal respiration (BR), microbial (qMic) and metabolic (qCO2) quotient and activities of soil urease and ?-glucosidase enzymes. The seasons influenced the CO2 and N2O emissions, probably due to changes in seasonal conditions. However, native forests consumed more CH4 than pine plantations. Meanwhile, the native forests presented soils with lower Ds (average 21.5% lower), more TP (average 12.5% higher) and more moisture (average 33% higher), which improved the microbiological attributes of the soil (20% to 60 % more MB-C, 67% higher urease activity and 30% higher ?-glucosida... Mostrar Tudo |
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Thesagro: |
Pinus Taeda. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02546naa a2200193 a 4500
001 2149031
005 2022-12-02
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1111/sum.12864$2DOI
100 1 $aTULIO, R. H.
245 $aPhysical, chemical and microbiological soil attributes influence soil greenhouse gases (GHGs) fluxes in Atlantic Forest and pine (Pinus taeda) plantations in Brazil.$h[electronic resource]
260 $c2022
520 $aForest soils can be sources or sinks of greenhouse gases (GHGs) depending on soil attributes that affect biomass and activity of soil microorganisms involved in GHGs fluxes. In this work, we tested the hypothesis that soil physical, chemical, and microbiological attributes, under different forests ecosystems, affect the soil GHGs [nitrous oxide (N2O), carbon dioxide (CO2) and methane (CH4)] fluxes. The study was carried out in two locations in southern Brazil in 2019, with three experimental plots of 900 m2 in native forests of the Atlantic Forest biome and in loblolly pine (Pinus taeda) plantations. Air samples released from the soil surface were analyzed for concentration and flux of CO2, N2O and CH4. Soil samples were analyzed for chemical attributes, density (Ds), soil microporosity (MiPs), soil macroporosity (MaPs), total porosity (TP), water-filled pore space (WFPS), microbial biomass carbon (MB-C), basal respiration (BR), microbial (qMic) and metabolic (qCO2) quotient and activities of soil urease and ?-glucosidase enzymes. The seasons influenced the CO2 and N2O emissions, probably due to changes in seasonal conditions. However, native forests consumed more CH4 than pine plantations. Meanwhile, the native forests presented soils with lower Ds (average 21.5% lower), more TP (average 12.5% higher) and more moisture (average 33% higher), which improved the microbiological attributes of the soil (20% to 60 % more MB-C, 67% higher urease activity and 30% higher ?-glucosidase activity) compared to pine plantations. Native forests contributed more intensely to CH4 consumption than pine plantations because they present better physical, chemical and microbiological soil conditions. Therefore, it is possible that forestry practices that improve soil physical attributes are likely to contribute to increase CH4 consumption, and to reduce GHGs emissions in forest ecosystems
650 $aPinus Taeda
700 1 $aRACHWAL, M. F. G.
700 1 $aZANATTA, J. A.
700 1 $aSILVA, K. da
700 1 $aKASCHUK, G.
773 $tSoil Use and Management, 2022.
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Registro original: |
Embrapa Florestas (CNPF) |
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| Registros recuperados : 18 | |
| 2. |  | NARCISO, M. G.; YAMAGISHI, M. E. B.; KUSER-FALCÃO, P. R.; NESHICH, G. 2D maps of protein surface. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 14.; ANNUAL AB3C CONFERENCE, 2., 2006, Fortaleza. Conference Program... Fortaleza: ISCB, 2006. Não paginado. ISMB, X-MEETING 2006. Poster B-63.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 4. | | KUSER-FALCÃO, P. R.; YAMAGISHI, M. E. B.; MARTINS, N. F. Bioinformática como instrumento de apoio aos programas de melhoramento genético. In: FIGUEIREDO, M. do V. B.; BURITY, H. A.; OLIVEIRA, J. de P.; SANTOS, C. E. de R. e S.; STAMFORD, N. P. (Ed.). Biotecnologia aplicada à agricultura: textos de apoio e protocolos experimentais. Brasília, DF: Embrapa Informação Tecnológica; Recife: Instituto Agronômico de Pernambuco, 2010. p. 313-332.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Recursos Genéticos e Biotecnologia. |
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| 6. | | NAGAI, L. A. E.; GIACHETTO, P. F.; CARDOSO, F. F.; ZERLOTINI, A.; KUSER-FALCÃO, P. R. Preliminary analysis of differentially expressed genes involved in meat tenderness in Angus and Nelore beef cattle. In: INTERNATIONAL SOCIETY FOR COMPUTATIONAL BIOLOGY LATIN AMERICA X-MEETING ON BIOINFORMATICS, 3., THE BRAZILIAN SYMPOSIUM ON BIOINFORMATICS; SOIBIO, 2014, Belo Horizonte. Program... [S.l.]: International Society for Computational Biology, 2014. Não paginado. ISCB-Latin America 2014. Pôster O10.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 7. | | CASASSOLA, A.; BRAMMER, S. P.; CHAVES, M. S.; NHANI JUNIOR, A.; MARTINELLI, J. A.; KUSER-FALCAO, P. R.; ZERLOTINI, A.; GRANDO, M. F.; STEFANATO, F.; BOYD, L. Genética da resistência de planta adulta à ferrugem da folha em trigo - cultivar Toropi. In: MOSTRA DE INICIAÇÃO CIENTÍFICA, 9.; MOSTRA DE PÓS-GRADUAÇÃO DA EMBRAPA TRIGO, 6., 2014, Passo Fundo. A construção de um cientista!: resumos. Brasília, DF: Embrapa, 2015. p. 53. Orientadora: Sandra Patussi Brammer.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Trigo. |
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| 8. | | HERAI, R. H.; GIACHETTO, P. F.; VIEIRA, F. D.; SANTOS, E. H. dos; YAMAGISHI, M. E. B.; KUSER-FALCÃO, P. R. Detecção de erros de montagens em regiões gênicas. In: SIMPÓSIO SOBRE INOVAÇÃO E CRIATIVIDADE CIENTÍFICA NA EMBRAPA, 2., Brasília, DF, 2010. Resumos... Brasília, DF: Embrapa, 2010. Não paginado.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 9. | | GHELFI, A.; GAZIOLA, S. A.; CIA, M. C.; CHABREGAS, S. M.; FALCO, M. C.; KUSER-FALCÃO, P. R.; AZEVEDO, R. A. Cloning, expression, molecular modelling and docking analysis of glutathione transferase from Saccharum officinarum. Annals of Applied Biology, Cambridge, v. 159, n. 2, p. 267-280, 2011.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 10. | | CINTRA, L. C.; ZERLOTINI, A.; SILVA, F. R. da; LOBO, F. P.; YAMAGISHI, M. E. B.; KUSER-FALCÃO, P. R. K.; GIACHETTO, P. F. Embrapa Bioinformatic Multi-user laboratory. In: INTERNATIONAL PLANT & ANIMAL GENOME, 21., 2013, San Diego. [Abstracts...]. [S.l.: s.n.], 2013. Não paginado. Pôster 1017.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 11. | | KUSER-FALCÃO, P. R.; YAMAGISHI, M. E. B.; GIACHETTO, P. F.; SILVA, F. R.; LOBO, F. P.; CINTRA, L. C.; ZERLOTINI, A.; HIGA, R.; VIEIRA, F. Embrapa Bioinformatics Multi-Users Laboratory - LMB. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. Não paginado. X-MEETING 2012.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 12. | | KUSER-FALCÃO, P. R.; YAMAGISHI, M. E. B.; GIACHETTO, P.; SILVA, F. R. da; VIEIRA, F. D.; SANTOS, E. H. dos. Laboratório avançado multiusuário de bioinformática da Embrapa. In: SIMPÓSIO SOBRE INOVAÇÃO E CRIATIVIDADE CIENTÍFICA NA EMBRAPA, 2., Brasília, DF, 2010. Resumos... Brasília, DF: Embrapa, 2010. Não paginado.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 13. | | CASASSOLA, A.; BRAMMER, S. P.; CHAVES, M. S.; NHANI JUNIOR, A.; KUSER-FALCÃO, P. R.; ZERLOTINI, A.; STEFANATO, F.; BOYD, L. Wheat transcriptome analysis targeting leaf rust resistance-related genes. In: INTERNATIONAL SOCIETY FOR COMPUTATIONAL BIOLOGY LATIN AMERICA X-MEETING ON BIOINFORMATICS, 3., THE BRAZILIAN SYMPOSIUM ON BIOINFORMATICS; SOIBIO, 2014, Belo Horizonte. Program... [S.l.]: International Society for Computational Biology, 2014. Não paginado. ISCB-Latin America 2014. Pôster D03.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 14. | | YAMAGISHI, M. E. B.; OLIVEIRA, S. R. M.; BORRO, L. C.; SANTOS, E. H.; JARDINE, J. G.; VIEIRA, F. D.; MAZONI, I.; NARCISO, M. G.; KUSER-FALCÃO, P. R.; NESHICH, G. Predicting enzyme class from protein structural parameters and bagging predictors. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 14.; ANNUAL AB3C CONFERENCE, 2., 2006, Fortaleza. Conference Program... Fortaleza: ISCB, 2006. Não paginado. ISMB, X-MEETING 2006. Poster I-13.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 15. | | OLIVEIRA, S. R. de M.; ALMEIDA, G. V.; SOUZA, K. R. R.; RODRIGUES, D. N.; KUSER-FALCÃO, P. R.; YAMAGISHI, M. E. B.; SANTOS, E. H. dos; VIEIRA, F. D.; JARDINE, J. G.; NESHICH, G. Sting_RDB: a relational database of structural parameters for protein analysis with support for data warehousing and data mining. Genetics and Molecular Research, v. 6, n. 4, p. 911-922, 2007.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 16. | | CINTRA, L. C.; ZERLOTINI, A.; LOBO, F. P.; SILVA, F. R. da; GIACHETTO, P. F.; KUSER-FALCÃO, P. R. K.; SILVA, L. O. C. da; EGITO, A. A. do; SIQUEIRA, F.; SILVA, N. M. A. da; PAIVA, S. R.; YAMAGISHI, M. E. B.; CAETANO, A. R. De novo assembly of a Nelore (Bos indicus) bull genome based on short read sequences. In: PLANT & ANIMAL GENOME CONFERENCE, 22., 2014, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2014. Não paginado. P554.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Recursos Genéticos e Biotecnologia. |
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| 17. | | CINTRA, L. C.; ZERLOTINI, A.; LOBO, F. P.; SILVA, F. R. da; GIACHETTO, P. F.; KUSER-FALCÃO, P. R.; SILVA, L. O. C. da; EGITO, A. A. do; SIQUEIRA, F.; SILVA, N. M. A. da; PAIVA, S. R.; YAMAGISHI, M. E. B.; CAETANO, A. R. Sequencing and de novo genome assembly of a nelore (Bos indicus) bull. In: INTERNATIONAL PLANT & ANIMAL GENOME, 21., 2013, San Diego. [Abstracts...]. [S.l.: s.n.], 2013. Não paginado. Pôster 0522.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Gado de Corte. |
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| 18. | | NESHICH, G.; MAZONI, I.; OLIVEIRA, S. R. M.; YAMAGISHI, M. E. B.; KUSER-FALCÃO, P. R.; BORRO, L. C.; MORITA, D. U.; SOUZA, K. R. R.; ALMEIDA, G. V.; RODRIGUES, D. N.; JARDINE, J. G.; TOGAWA, R. C.; MANCINI, A. L.; HIGA, R. H.; CRUZ, S. A. B.; VIEIRA, F. D.; SANTOS, E. H.; MELO, R. C.; SANTORO, M. M. The Star STING server: a multiplatform environment for protein structure analysis. Genetics and Molecular Research, v. 5, n. 4, p. 717-722, 2006.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 18 | |
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