Soil-landscape relationship in a chronosequence of the middle Madeira River in southwestern Amazon, Brazil

Delarmelinda, Elaine Almeida; Júnior, Valdomiro Severino de Souza; Wadt, Paulo Guilherme Salvador; Deng, Youjun; Campos, Milton César Costa; Câmara, Elis Regina Guimarães

doi:10.1016/j.catena.2016.09.021

Cited by 26 publications

(10 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the Amazon, 78 % of soils are acid and have low natural fertility (Sanchez, 1977;Delarmelinda et al, 2017), characteristics well represented in the areas in the central part of the SB and SD domains. This chemical poverty is directly influenced by climatic factors, since the highest rainfall in the central portion of the state of Amazonas, promotes the greatest leaching.…”

Section: Discussionmentioning

confidence: 99%

“…The study of soils in large areas can be effective if homogeneous zones can be recognized, allowing the extrapolation of properties influenced by the dominant characteristics (Trangmar et al, 1986;Corá et al, 2004), for example, the climate, which is key factor in the landscape evolution and pedogenesis of the Amazon (Yaalon, 1983;Stockmann et al, 2014;Delarmelinda et al, 2017). The local landform is also an excellent stratifier of environments, translating into similar hydrological and geological characteristics that have a direct influence on the pedological properties (Mulla and McBratney, 2001;Park and Burt, 2002).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multivariate Analysis and Machine Learning in Properties of Ultisols (Argissolos) of Brazilian Amazon

Souza

Thomazini

Schaefer

et al. 2018

Rev. Bras. Ciênc. Solo

View full text Add to dashboard Cite

Ultisols are the most common soil order in the Brazilian Amazon. The Legal Amazon (LA) has an area of 5 × 10 6 km 2 , with few accessible areas, which restricts studies of soils at a detailed level. The pedological properties can be estimated more efficiently using statistical procedures and machine learning techniques, tools which are capable of recognizing patterns in a large soil database. We analyzed the main chemical and physical properties of the B horizons of the Ultisols of the Brazilian Amazon, as well as the spatial variability of the most explanatory properties of these horizons. Physical and chemical data of 1,068 profiles of the RadamBrasil Project were used. A principal component analysis (PCA) was applied and the most explanatory variables were separated by morphostructural units and climate zones. The technique of machine learning was used for spatialization of the explanatory variables based on predictive covariates. In general, the horizons are thick, clay, with a predominance of negative charges, and low levels of exchangeable cations. The variables retained in the PCA were: sum of bases (SB), Al 3+ , degree of flocculation (Floc), ∆pH, and organic carbon content (C). Areas of greater precipitation have low SB, with higher values in the basement complex (BC) and in areas under the Andean influence. Higher levels of Al 3+ and degrees of flocculation were also associated with greater precipitation. However, the soils are predominantly electronegative, showing a kaolinitic mineralogy. The C contents in general were low, with an increase in more humid zones due to the process of mineralization and illuviation (podzolization), and in the BC due to the protection of C by the aggregation of clay. The use of multivariate analysis allowed a better understanding of the Ultisols' main properties in different morphostructural and climatic domains, and its spatialization facilitated the interpretation of properties and their relationships with environmental characteristics in the Legal Amazon.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multivariate Analysis and Machine Learning in Properties of Ultisols (Argissolos) of Brazilian Amazon

Souza

Thomazini

Schaefer

et al. 2018

Rev. Bras. Ciênc. Solo

View full text Add to dashboard Cite

show abstract

“…Low values of P are common in highly weathered soils of the Amazon Basin (Delarmelinda et al 2017). Accordingly, there was a tendency for lower values of P-rem with an increase in clay content in the samples, emphasizing the great absorption of P in the subsurface.…”

Section: Acta Amazonicamentioning

confidence: 94%

“…The soil horizons were sampled, with six replicates of deformed samples for laboratory analysis. The physical, chemical and mineralogical attributes commonly used to assess the agricultural potential of soils were determined (Alvarez et al 1999;Nascimento et al 2006;Lima Neto et al 2009;Delarmelinda et al 2017). The physical and chemical attributes of the soils were determined according to Embrapa (1997) …”

Section: Methodsmentioning

confidence: 99%

“…The agro-industrial expansion raises questions on the agricultural and environmental relevance of soils in the Eastern Brazilian Amazon (Delarmelinda et al 2017). However, soil attributes are influenced by their parent materials (Heckman and Rasmussen, 2011) and understanding this influence is critical to determining which areas are most conducive to agricultural production, contributing to the implementation of more sustainable forms of land use (Alencar et al 2005).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Association between parent materials and soil attributes along different geological environments in western Pará, Brazil

et al. 2018

Self Cite

View full text Add to dashboard Cite

The expansion of the agricultural frontier into different geological environments in the west of the state of Pará, northern Brazil, makes it necessary to know the influence of the parent material on local soil attributes. This study aimed to evaluate the influence of different parent materials on five soil profiles along a lithosequence exposed by the BR-163 highway, which runs from north to south through western Pará. The soils were classified, morphologically described and their main horizons sampled for physical, mineralogical and chemical analyses, including the determination of micronutrients, forms of phosphorus and secondary forms of iron. Multivariate analysis was used to group the different soil-parent material associations. The results demonstrated that the diversity of the parent material was a determinant of soil attributes, and was a conditioning factor for the formation of different clay minerals. Multivariate analysis grouped the soils along the lithosequence into a group formed by profiles derived from basic and intermediate igneous rocks, and a second group consisting of profiles derived from sediments and sedimentary rocks. The profile derived from acidic igneous rock showed greater similarity with the profiles derived from sedimentary materials in comparison to those derived from other igneous rocks.KEYWORDS: soil mineralogy, physical attributes, chemical attributes, multivariate analysis Associação entre materiais de origem e atributos de solos ao longo de diferentes ambientes geológicos no oeste do Pará, Brasil RESUMO A expansão da fronteira agrícola em diferentes ambientes geológicos no oeste do Estado do Pará, norte do Brasil, torna necessário conhecer a influência do material de origem sobre os atributos dos solos locais. Este estudo teve como objetivo avaliar a influência de diferentes materiais de origem sobre cinco perfis de solo ao longo de uma litosequência exposta pela rodovia BR-163, que vai de norte a sul pelo oeste do Pará. Os solos foram classificados, morfologicamente descritos e seus principais horizontes amostrados para análises físicas, mineralógicas e químicas, incluindo a determinação de micronutrientes, formas de fósforo e formas secundárias de ferro. Análises multivariadas foram usadas para agrupar as diferentes associações solo-material de origem. Os resultados demonstraram que a diversidade do material de origem foi determinante para os atributos do solo, sendo um fator condicionante para a formação de diferentes argilominerais. A análise multivariada agrupou os solos ao longo da litosequência em um grupo formado por perfis derivados de rochas ígneas básicas e intermediárias, e um segundo grupo constituído por perfis derivados de sedimentos e rochas sedimentares. O perfil derivado de rocha ígnea ácida apresentou maior similaridade com os perfis derivados de materiais sedimentares em comparação àqueles derivados de outras rochas ígneas. PALAVRAS-CHAVE

show abstract

Geographical variations in arsenic contents in rice plants from Latin America and the Iberian Peninsula in relation to soil conditions

Otero

Atiaga

Estrella

et al. 2020

Environ Geochem Health

View full text Add to dashboard Cite

Soil-landscape relationship in a chronosequence of the middle Madeira River in southwestern Amazon, Brazil

Cited by 26 publications

References 32 publications

Multivariate Analysis and Machine Learning in Properties of Ultisols (Argissolos) of Brazilian Amazon

Multivariate Analysis and Machine Learning in Properties of Ultisols (Argissolos) of Brazilian Amazon

Association between parent materials and soil attributes along different geological environments in western Pará, Brazil

Geographical variations in arsenic contents in rice plants from Latin America and the Iberian Peninsula in relation to soil conditions

Contact Info

Product

Resources

About