ME_ECharm: Mixed-effects model for harmonizing soil electrical...

In soilassessment: Assessment Models for Agriculture Soil Conditions and Crop Suitability

Mixed-effects model for harmonizing soil electrical conductivity to the equivalent conductivity of saturated paste extract

Description

A function for harmonizing soil electrical conductivity to the equivalent conductivity of saturated paste extract using mixed effects approach

Usage

ME_ECharm(EC, TEXCLASS, model, soilsolution)

Arguments

EC	a vector or single value of soil electrical conductivity to be harmonized. It should have been determined in a given soil solution (e.g. 1:2, 1:2.5 or 1:5)
TEXCLASS	soil textural class of the soil whose electrical conductivity is to be harmonized. String or test entry of USDA textural classes: Cl, ClLo,Lo,LoSa,Sa,SaCl,SaClLo,SaLo,SiCl,SiClLo,SiLo,Si,CS,MS,HCL,FS. The classes can be determined from Clay, Silt, and Sand proportions using createTexturedata function
model	functional model for relating EC to be harmonized and equivalent EC of saturated paste extract. Models considered are second order polynomial, sigmoid, spherical, gaussian, exponential, power, and linear functions. The default is polynomial
soilsolution	– soil:water mix ratio in which electrical conductivity was measured. The function is currently working on 1:2, 1:2.5, and 1:5. The default is 1:2

Details

EC harmonization models, which were developed using global datasets, are designed to standardize soil electrical conductivity for applications in soil salt classification

Value

numeric value of equivalent EC of saturated soil paste extract

Note

The models are currently developed for soil solutions from 1:2, 1:2.5 and 1:5 soil:water mix ratios. The function only works with USDA soil textural classes. Convert other soil textural classes to USDA classes for all applications with this function.

Author(s)

Christian Thine Omuto

References

Omuto, C. T., Vargas, R.-R., EL Mobarak, A., Nuha, M., Viatkin, K., & Yigini, Y. (2020). Mapping of salt-affected soils – Technical manual. FAO. https://doi.org/10.4060/ca9215en

Omuto, C. T., Minasny, B., McBratney, A. B., & Biamah, E. K. (2006). Nonlinear mixed effect modelling for improved estimation of water retention and infiltration parameters. Journal of Hydrology, 330(3–4), 748–758. https://doi.org/10.1016/j.jhydrol.2006.05.006

Pinheiro, J. C., & Bates, D. M. (2000). Mixed-Effects Models in Sand S-PLUS. Springer New York. https://doi.org/10.1007/978-1-4419-0318-1

See Also

ME_PHharm, ECconversion1, ECconversion2

Examples

ndata=data.frame(EC=c(1,0.34,5.07,12.17, 2.219),TEX=c("Cl","SaCl","LoSa", "SiCl","SaClLo"))
ndata$ESa1=ME_ECharm(ndata$EC,ndata$TEX,"power","1:5")

soilassessment documentation built on July 9, 2023, 7:40 p.m.