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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Territorial. |
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Data corrente: |
29/04/2024 |
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Data da última atualização: |
29/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, C. DE O. F.; RODRIGUES, C. A. G.; GREGO, C. R.; QUARTAROLI, C. F. |
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Afiliação: |
CÉSAR DE OLIVEIRA FERREIRA SILVA, UNIVERSIDADE ESTADUAL DE CAMPINAS; CRISTINA APARECIDA GONCALVES RODRIG, CNPM; CELIA REGINA GREGO, CNPTIA; CARLOS FERNANDO QUARTAROLI, CNPM. |
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Título: |
Influence of the physical, chemical, and hydric attributes of soils and leaf area on degradation levels of cultivated pastures. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Electronic Journal "Environmental Forum of Alta Paulista", v. 20, n. 2, p. 72-87, 2024. |
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ISSN: |
1980-0827 |
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DOI: |
https://doi.org/10.17271/1980082720220244108 |
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Idioma: |
Inglês |
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Conteúdo: |
Understanding the predominant factors that explain pasture degradation is crucial for developing reliable and feasible restoration plans. This article describes a multivariate analysis used for detecting correlation patterns between soil physicochemical attributes and leaf area in four different levels of degradation of cultivated pastures (without degradation, with low, medium, and high degradation) in the northwestern region of the state of São Paulo. Principal component analysis, exploratory statistics, and hierarchical cluster analysis dendrograms were produced for soil physicochemical attributes in the 0-0.10 m and 0.10-0.20 m depth layers. Water infiltration rate, phytomass, and leaf area were higher in the non-degraded pasture. The top layer showed more recognizable clusters between eigenvectors and degradation levels than the deeper layer. Chemical attributes (P, K, Ca, Mg, organic matter, sum of bases, and base saturation) were more explicative of the variability of degradation, while physical attributes such as granulometry and soil water parameters were less explicative. More effective actions to restore these pastures may prioritize the most explanatory parameters in the 0 to 0.10 m layer. This approach may be replicated for pasture restoration studies and monitoring plans, to indicate parameter prioritization and cost optimization. |
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Palavras-Chave: |
Análise multivariada; Compactação; Fitomassa. |
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Thesagro: |
Permeabilidade. |
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Thesaurus Nal: |
Multivariate analysis; Permeability; Phytomass; Soil compaction. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1163960/1/6224.pdf
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Marc: |
LEADER 02274naa a2200277 a 4500
001 2163960
005 2024-04-29
008 2024 bl uuuu u00u1 u #d
022 $a1980-0827
024 7 $ahttps://doi.org/10.17271/1980082720220244108$2DOI
100 1 $aSILVA, C. DE O. F.
245 $aInfluence of the physical, chemical, and hydric attributes of soils and leaf area on degradation levels of cultivated pastures.$h[electronic resource]
260 $c2024
520 $aUnderstanding the predominant factors that explain pasture degradation is crucial for developing reliable and feasible restoration plans. This article describes a multivariate analysis used for detecting correlation patterns between soil physicochemical attributes and leaf area in four different levels of degradation of cultivated pastures (without degradation, with low, medium, and high degradation) in the northwestern region of the state of São Paulo. Principal component analysis, exploratory statistics, and hierarchical cluster analysis dendrograms were produced for soil physicochemical attributes in the 0-0.10 m and 0.10-0.20 m depth layers. Water infiltration rate, phytomass, and leaf area were higher in the non-degraded pasture. The top layer showed more recognizable clusters between eigenvectors and degradation levels than the deeper layer. Chemical attributes (P, K, Ca, Mg, organic matter, sum of bases, and base saturation) were more explicative of the variability of degradation, while physical attributes such as granulometry and soil water parameters were less explicative. More effective actions to restore these pastures may prioritize the most explanatory parameters in the 0 to 0.10 m layer. This approach may be replicated for pasture restoration studies and monitoring plans, to indicate parameter prioritization and cost optimization.
650 $aMultivariate analysis
650 $aPermeability
650 $aPhytomass
650 $aSoil compaction
650 $aPermeabilidade
653 $aAnálise multivariada
653 $aCompactação
653 $aFitomassa
700 1 $aRODRIGUES, C. A. G.
700 1 $aGREGO, C. R.
700 1 $aQUARTAROLI, C. F.
773 $tElectronic Journal "Environmental Forum of Alta Paulista"$gv. 20, n. 2, p. 72-87, 2024.
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Embrapa Territorial (CNPM) |
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