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| Registros recuperados : 6 | |
| 1. |  | BLAINSKI, E.; TORMENA, C. A.; FIDALSKI, J.; GUIMARÃES, R. M. L. Quantificação da degradação física do solo por meio da curva de resistência do solo à penetração. Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 32, n. 3, p. 975-983, maio/jun. 2008. Separata de Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 32, n. 3, maio/jun. 2008.| Biblioteca(s): Embrapa Solos / UEP-Recife. |
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| 2. | | GUIMARAES, R. M. L.; TORMENA, C. A.; ALVES, S. J.; FIDALSKI, J.; BLAINSKI, E. Resistência tênsil, friabilidade e carbono orgânico em um latossolo vermelho distroférrico sob integração lavoura-pecuária. Scientia Agricola, Piracicaba, v. 66, n. 4, p. 499-505, jul./ago. 2009.| Biblioteca(s): Embrapa Semiárido. |
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| 5. | | DEMETRIO, W.; CAVALIERI-POLIZELI, K. M. V.; GUIMARÃES, R. M. L.; FERREIRA, S. de A.; PARRON, L. M.; BROWN, G. G. Macrofauna communities and their relationship with soil structural quality in different land use systems. Soil Research, v. 60, n. 7, p. 648-660, 2022. 13 p.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | SILVA, A. P. da; BRUAND, A.; TORMENTA, C. A.; SILVA, E. M. da; SANTOS, G. G.; GIAROLA, N. F. B.; GUIMARÃES, R. M. L.; MARCHAO, R. L.; KLEIN, V. A. Indicators of soil physical quality: from simplicity to complexity. In: TEIXEIRA, W. G.; CEDDIA, M. B.; OTTONI, M. V.; DONAGEMMA, G. K. (Ed.). Application of soil physics in environmental analyses: measuring, modelling and data integration. New York: Springer, 2014. p. 201-221.| Biblioteca(s): Embrapa Cerrados. |
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| Registros recuperados : 6 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
15/02/2022 |
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Data da última atualização: |
12/06/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
DEMETRIO, W.; CAVALIERI-POLIZELI, K. M. V.; GUIMARÃES, R. M. L.; FERREIRA, S. de A.; PARRON, L. M.; BROWN, G. G. |
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Afiliação: |
WILIAN DEMETRIO, INPE; KARINA MARIA VIEIRA CAVALIERI-POLIZELI, UFPR; RACHEL MUYLAERT LOCKS GUIMARÃES, UTFPR; STEPHANIE DE ALMEIDA FERREIRA, UFPR; LUCILIA MARIA PARRON VARGAS, CNPF; GEORGE GARDNER BROWN, CNPF. |
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Título: |
Macrofauna communities and their relationship with soil structural quality in different land use systems. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Soil Research, v. 60, n. 7, p. 648-660, 2022. |
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Páginas: |
13 p. |
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DOI: |
https://doi.org/10.1071/SR21157 |
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Idioma: |
Inglês |
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Conteúdo: |
Context. Soil structural quality (Sq) influences soil water dynamics, greenhouse gas emissions and plant productivity in natural and agricultural environments. Hence, assessing soil structural quality using simple methods is crucial to identifying potential impacts of different land uses. Aims. Identify correlations between Sq and macroinvertebrate communities in seven land use systems (LUS). Methods. Seven LUS were studied: native mixed ombrophylous forest (NF), native grassland (NG), native grass pasture (NP), Eucalyptus sp. plantation (EP, 20-years-old), no-tillage annual cropping (NT), integrated crop-livestock (ICL) and crop-livestock-forestry (ICLF). Each LUS had three plots and Sq and macrofauna community were evaluated. Sq was assessed through visual evaluation of soil structure (VESS) - a Sq score was assigned to each identified layer. Soil macrofauna were hand-sorted from each of these layers. Soil samples were taken in each LUS to describe selected chemical and physical attributes related to soil quality. Results. All LUS had non-degraded soil structure quality (Sq -< 3); however, with differences in Sq among LUS mainly in deeper layers. The VESS showed better Sq in NF (1.53) and NP (1.85) compared to the other LUS, with highest Sq scores for ICL and NG. The NP had the largest macrofauna communities (12 183 ind. m-2), comprising mainly termites and earthworms, with taxa richness highest in NF. Conclusions. Correlations between soil macrofauna (i.e. total density, termites and other groups) and Sq were observed, demonstrating that larger macrofauna populations were associated with better soil structural quality. Implications. Biological indicators, like soil macrofauna, can be easily measured at low cost and linked to visual Sq, facilitating simultaneous assessment of soil physical and biological health. MenosContext. Soil structural quality (Sq) influences soil water dynamics, greenhouse gas emissions and plant productivity in natural and agricultural environments. Hence, assessing soil structural quality using simple methods is crucial to identifying potential impacts of different land uses. Aims. Identify correlations between Sq and macroinvertebrate communities in seven land use systems (LUS). Methods. Seven LUS were studied: native mixed ombrophylous forest (NF), native grassland (NG), native grass pasture (NP), Eucalyptus sp. plantation (EP, 20-years-old), no-tillage annual cropping (NT), integrated crop-livestock (ICL) and crop-livestock-forestry (ICLF). Each LUS had three plots and Sq and macrofauna community were evaluated. Sq was assessed through visual evaluation of soil structure (VESS) - a Sq score was assigned to each identified layer. Soil macrofauna were hand-sorted from each of these layers. Soil samples were taken in each LUS to describe selected chemical and physical attributes related to soil quality. Results. All LUS had non-degraded soil structure quality (Sq -< 3); however, with differences in Sq among LUS mainly in deeper layers. The VESS showed better Sq in NF (1.53) and NP (1.85) compared to the other LUS, with highest Sq scores for ICL and NG. The NP had the largest macrofauna communities (12 183 ind. m-2), comprising mainly termites and earthworms, with taxa richness highest in NF. Conclusions. Correlations between soil macrofauna (i.e. total density, ... Mostrar Tudo |
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Palavras-Chave: |
Agrosistemas integrado; Integrated agroecosystems; Macroinvertebrado; Mudança no uso da terra; Soil health; VESS. |
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Thesagro: |
Estrutura do Solo; Fauna; Qualidade; Solo. |
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Thesaurus NAL: |
Land use change; Macroinvertebrates; Soil fauna; Soil quality; Soil structure. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02956naa a2200385 a 4500
001 2140053
005 2023-06-12
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1071/SR21157$2DOI
100 1 $aDEMETRIO, W.
245 $aMacrofauna communities and their relationship with soil structural quality in different land use systems.$h[electronic resource]
260 $c2022
300 $a13 p.
520 $aContext. Soil structural quality (Sq) influences soil water dynamics, greenhouse gas emissions and plant productivity in natural and agricultural environments. Hence, assessing soil structural quality using simple methods is crucial to identifying potential impacts of different land uses. Aims. Identify correlations between Sq and macroinvertebrate communities in seven land use systems (LUS). Methods. Seven LUS were studied: native mixed ombrophylous forest (NF), native grassland (NG), native grass pasture (NP), Eucalyptus sp. plantation (EP, 20-years-old), no-tillage annual cropping (NT), integrated crop-livestock (ICL) and crop-livestock-forestry (ICLF). Each LUS had three plots and Sq and macrofauna community were evaluated. Sq was assessed through visual evaluation of soil structure (VESS) - a Sq score was assigned to each identified layer. Soil macrofauna were hand-sorted from each of these layers. Soil samples were taken in each LUS to describe selected chemical and physical attributes related to soil quality. Results. All LUS had non-degraded soil structure quality (Sq -< 3); however, with differences in Sq among LUS mainly in deeper layers. The VESS showed better Sq in NF (1.53) and NP (1.85) compared to the other LUS, with highest Sq scores for ICL and NG. The NP had the largest macrofauna communities (12 183 ind. m-2), comprising mainly termites and earthworms, with taxa richness highest in NF. Conclusions. Correlations between soil macrofauna (i.e. total density, termites and other groups) and Sq were observed, demonstrating that larger macrofauna populations were associated with better soil structural quality. Implications. Biological indicators, like soil macrofauna, can be easily measured at low cost and linked to visual Sq, facilitating simultaneous assessment of soil physical and biological health.
650 $aLand use change
650 $aMacroinvertebrates
650 $aSoil fauna
650 $aSoil quality
650 $aSoil structure
650 $aEstrutura do Solo
650 $aFauna
650 $aQualidade
650 $aSolo
653 $aAgrosistemas integrado
653 $aIntegrated agroecosystems
653 $aMacroinvertebrado
653 $aMudança no uso da terra
653 $aSoil health
653 $aVESS
700 1 $aCAVALIERI-POLIZELI, K. M. V.
700 1 $aGUIMARÃES, R. M. L.
700 1 $aFERREIRA, S. de A.
700 1 $aPARRON, L. M.
700 1 $aBROWN, G. G.
773 $tSoil Research$gv. 60, n. 7, p. 648-660, 2022.
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