Compositional analysis for an unbiased measure of soil aggregation

Parent, Léon E.; Almeida, Cinara Xavier de; Hernandes, Amanda; Egozcue, J. J.; Gülser, Çoşkun; Bolinder, Martin A.; Kätterer, Thomas; Andrén, Olof; Parent, Léon‐Étienne; Anctil, François; Centurion, José Frederico; Natale, William

doi:10.1016/j.geoderma.2012.02.022

Cited by 35 publications

(22 citation statements)

References 52 publications

(75 reference statements)

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“…Impartial and unbiased, it is well-suited for studying ratios among nutrients (Parent et al, 2012a). It is a three-stage methodology: representation of data in ilr coordinates; analysis of variance of coordinates as random real variables; and interpretation of results in terms of balances (Egozcue and Pawlowski-Glahn, 2011).…”

Section: Nitrogen and Potassium Fertilization In A Guavamentioning

confidence: 99%

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Nitrogen and Potassium Fertilization in a Guava Orchard Evaluated for Five Cycles: Soil Cationic Balance

Montes

Parent

Amorim

et al. 2016

Rev. Bras. Ciênc. Solo

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Section: Nitrogen and Potassium Fertilization In A Guavamentioning

confidence: 99%

“…However, they cannot be transformed back into their initial values. This concept has been successfully used in studies of plant nutrition (Parent, 2011;Hernandes et al, 2012), of decomposition of organic waste (Parent et al, 2011), and of soil aggregation (Parent et al, 2012a).…”

Section: Nitrogen and Potassium Fertilization In A Guavamentioning

confidence: 99%

Nitrogen and Potassium Fertilization in a Guava Orchard Evaluated for Five Cycles: Soil Cationic Balance

Montes

Parent

Amorim

et al. 2016

Rev. Bras. Ciênc. Solo

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“…Transforming volume to mass consists of multiplication by the density of the material in each sieve, possibly different from one sieve to the other. This componentwise multiplication is a perturbation (Parent et al 2012). Also, changing the concentrations of chemical elements from mg/kg to molar concentration consists of dividing each component by its molar mass, thus performing a perturbation.…”

Section: Definition 441 (Perturbation) Let Be Two Elements In Thementioning

confidence: 99%

Modelling Compositional Data. The Sample Space Approach

Egozcue

Pawlowsky‐Glahn

2018

Handbook of Mathematical Geosciences

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Compositions describe parts of a whole and carry relative information. Compositional data appear in all fields of science, and their analysis requires paying attention to the appropriate sample space. The log-ratio approach proposes the simplex, endowed with the Aitchison geometry, as an appropriate representation of the sample space. The main characteristics of the Aitchison geometry are presented, which open the door to statistical analysis addressed to extract the relative, not absolute, information. As a consequence, compositions can be represented in Cartesian coordinates by using an isometric log-ratio transformation. Standard statistical techniques can be used with these coordinates.

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“…Soil components are subject to methodological bias if they are not handled as compositional data (Parent et al, 2012). Compositional data are proportions of a total such as 100% (Aitchison, 1982), therefore, components are intrinsically multivariate and related to each other in a compositional space constrained between 0 and 100%: any change in one proportion must affect the other proportions.…”

Section: Introductionmentioning

confidence: 99%

Compaction of Coarse-Textured Soils: Balance Models across Mineral and Organic Compositions

Jiménez

Parent

et al. 2017

Front. Ecol. Evol.

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Soil bulk density (BD), degree of compactness (DC), maximum bulk density (MBD), and critical water content (CWC) at which MBD is reached are commonly used to characterize soil compaction, and can be predicted from soil texture and organic matter content, omitting other components such as sand sub-classes and soil cementing agents and potential biases such as data redundancy and sub-compositional incoherence. Compositional data analysis is needed to account for interactions among soil components and to avoid biases. The aim of this study was to relate soil compaction indexes to the basic components of coarse-textured soils using unbiased numerical techniques. Soil samples collected in horizons A and B at 49 sites in Quebec, Canada, were analyzed for gravimetric water content, BD, particle-size distribution, MBD, CWC, organic C, total N, Si, Fe, Al, Mn, Mg, and Ca. DC was calculated as the ratio of BD to MBD. The 14 physical-chemical soil properties were expressed as isometric log-ratios balances. We conducted principal component analysis to identify the components most correlated with compaction indexes. We used regression analysis to predict MBD and CWC, and used linear mixed-effects models to predict BD and DC. The regression models accounted for up to 83% of total variation in MBD and CWC, and the linear mixed-effects models explained 58-64% of total variation in BD and DC. BD and DC were found to decrease with clay content, and increase with larger proportion of coarser particles. Organic matter content tended to reduce BD and DC, and showed little effects on MBD. Increasing evenness of sand fractions resulted in a higher MBD value. Relationships between CWC and soil texture, and between CWC and organic C were not significant. Mineral cementing agents were the major contributors to soil compaction indexes. Si, Al, Fe, and Ca oxides increased BD, DC, and CWC, but reduced MBD. The sensitivity of coarse-textured soils to compaction could be predicted to support decisions on soil resilience after ripping and on the need to implement corrective chemical, biological and physical methods such as soil amendments, structure-building crops or textural mixtures to rebalance soil compositions.

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Compositional analysis for an unbiased measure of soil aggregation

Cited by 35 publications

References 52 publications

Nitrogen and Potassium Fertilization in a Guava Orchard Evaluated for Five Cycles: Soil Cationic Balance

Nitrogen and Potassium Fertilization in a Guava Orchard Evaluated for Five Cycles: Soil Cationic Balance

Modelling Compositional Data. The Sample Space Approach

Compaction of Coarse-Textured Soils: Balance Models across Mineral and Organic Compositions

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