Direct measurement and prediction of bulk density on alluvial soils of central Chile

Casanova, Manuel; Tapia, Elizabeth; Seguel, Óscar; Salazar, Osvaldo

doi:10.4067/s0718-58392016000100015

Cited by 66 publications

(29 citation statements)

References 30 publications

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“…It has been reported that general PTFs yield poor results when applied in different pedogenetic environments. Casanova et al () compared laboratory measured bulk density from alluvial soils from Chile with the predictions of 10 published PTFs and highlighted the need to develop local models. Nanko et al () reported similar results for forest soils in Japan.…”

Section: Methodological Challenges For Ptf Use In Earth System Sciencesmentioning

confidence: 99%

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Looy

Bouma

Herbst

et al. 2017

Reviews of Geophysics

411

297

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Soil, through its various functions, plays a vital role in the Earth's ecosystems and provides multiple ecosystem services to humanity. Pedotransfer functions (PTFs) are simple to complex knowledge rules that relate available soil information to soil properties and variables that are needed to parameterize soil processes. In this paper, we review the existing PTFs and document the new generation of PTFs developed in the different disciplines of Earth system science. To meet the methodological challenges for a successful application in Earth system modeling, we emphasize that PTF development has to go hand in hand with suitable extrapolation and upscaling techniques such that the PTFs correctly represent the spatial heterogeneity of soils. PTFs should encompass the variability of the estimated soil property or process, in such a way that the estimation of parameters allows for validation and can also confidently provide for extrapolation and upscaling purposes capturing the spatial variation in soils. Most actively pursued recent developments are related to parameterizations of solute transport, heat exchange, soil respiration, and organic carbon content, root density, and vegetation water uptake. Further challenges are to be addressed in parameterization of soil erosivity and land use change impacts at multiple scales. We argue that a comprehensive set of PTFs can be applied throughout a wide range of disciplines of Earth system science, with emphasis on land surface models. Novel sensing techniques provide a true breakthrough for this, yet further improvements are necessary for methods to deal with uncertainty and to validate applications at global scale.

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Section: Methodological Challenges For Ptf Use In Earth System Sciencesmentioning

confidence: 99%

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Looy

Bouma

Herbst

et al. 2017

Reviews of Geophysics

411

297

View full text Add to dashboard Cite

show abstract

“…Soil organic carbon was determined by the potassium dichromate wet oxidation method (Nelson & Sommers, 1982); total nitrogen (N) by the Kjeldahl distillation method (Jones, 2001) following digestion with concentrated H 2 SO 4 ; available phosphorus (P) by the Bray 1 method (Jones, 2001); and exchangeable potassium (K) using the 1 M ammonium acetate method (Chapman, 1965). The particle size distribution was determined using the hydrometer method (Jones, 2001) while the bulk density was determined using the core ring method (Casanova, Tapia, Seguel & Salazar, 2016).…”

Section: Characterization Of Soils and Organic Inputs Used In The Studymentioning

confidence: 99%

Organic Inputs and Chemical Fertilizer on Carbon Mineralization From Two Ultisols

Kalala¹,

Shitumbanuma²,

Adamtey³

et al. 2020

JAS

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There are challenges that limit the use of organic inputs for soil fertility management. Amongst them is the limited knowledge of factors that affect rates of decomposition and nutrient release from different organic inputs. A study was conducted on surface soil samples of two Ultisols to determine factors affecting carbon (C) mineralization from selected organic inputs. A loamy sand (LS) from a Kandiustult and a sandy clay loam (SCL) from a Paleustult were used. Fine earth fractions of the soils mixed with organic inputs with and without chemical fertilizer were incubated for 13 weeks and the CO2 evolved was measured. Organic inputs used were biomasses of Cajanus cajan, Tephrosia vogelii, Crotalaria juncea, Mucuna pruriens, a mixture of native grasses and shrubs and composted cattle manure. The latter two inputs are traditionally used by farmers, while the leguminous plants were recommended by scientists. Treatments with chemical fertilizer only, representing the conventional farming practice, and a control with soil alone were included. Addition of organic inputs with or without fertilizer increased total CO2 emissions by 81 to 129% on the LS and by 18 to 34% on the SCL. Adding chemical fertilizer significantly (p < 0.05) increased C mineralization rate constant (k) by 116% on the LS and 48% on the SCL. The mean residence time of organic carbon from treatments grouped by input type followed the order: Control > Traditional > Legumes > Conventional on both soils. In general, the k on the LS was double that on the SCL. The type of organic input, soil texture and application of chemical fertilizer significantly affected C mineralization rates from the soils.

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“…Verification of the proposed method, from the point of view of assessing the values of grouping parameters and variables of the regression model, may be difficult due to the measurement methods used in this work and the conditions for making measurements. The soil bulk density determination was performed using the core sampling method (volumetric cylinder method), which is the most common method used to determine bulk density agricultural soils [35]. Researchers use cylinders of different sizes, which may be affected by the result of the soil properties determined [36][37][38].…”

Section: Methodological Limitationsmentioning

confidence: 99%

Data Grouping Method for the Purpose of Forecasting the Mechanical Strength of Plastic Soils

2020

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The aim of this work was to develop a method of data grouping (DGM) that enables the selection of regression equations for forecasting soil penetration resistance based on an easily available and small set of input data: soil moisture content, soil bulk density and the grain size distribution of the soil. Models for forecasting the penetration resistance were created by selecting regression equations for specific intervals of granulometric variability of soil fractions. A field measurements campaign was conducted and soil samples were taken from the subsoil on 43 profiles, at depths of 25–30, 35–40, 45–50 and 55–60 cm. It was found that the dry bulk density is much less useful for predicting the penetration resistance of plastic soils than soil moisture. The study also showed that it is possible to forecast the soil penetration resistance on the basis of the gravimetric moisture content and the soil specific surface.

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Direct measurement and prediction of bulk density on alluvial soils of central Chile

Cited by 66 publications

References 30 publications

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Organic Inputs and Chemical Fertilizer on Carbon Mineralization From Two Ultisols

Data Grouping Method for the Purpose of Forecasting the Mechanical Strength of Plastic Soils

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