@article{fdi:010073668,
  title = {{P}rediction of total silicon concentrations in {F}rench soils using pedotransfer functions from mid-infrared spectrum and pedological attributes},
  author = {{L}andre, {A}. and {S}aby, {N}. {P}. {A}. and {B}arth{\`e}s, {B}ernard and {R}atie, {C}. and {G}uerin, {A}. and {E}tayo, {A}. and {M}inasny, {B}. and {B}ardy, {M}. and {M}eunier, {J}. {D}. and {C}ornu, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}ilicon ({S}i) is the second most abundant element of the {E}arth's crust, and its terrestrial cycle depends on soil, vegetation, and human activities. {T}he spatial extent of terrestrial {S}i perturbation is poorly documented since maps of {S}i concentration in soils are rare. {I}n addition, {S}i content is rarely measured in non-paddy soil databases. {H}ere we demonstrate that pedotransfer functions based on either pedological attributes (particle size fraction, p{H}, organic carbon, cation exchange capacity, calcium carbonate and parent material) or mid infrared spectra ({MIRS}) can be used to accurately predict total {S}i concentration. {I}n this research, we utilised a unique dataset from the {F}rench monitoring network of soil quality ({RMQS} - {R}eseau de {M}esures de la {Q}ualite des {S}ols) database. {P}edotransfer functions were built using a regression tree model on a subset of the data for which total {S}i concentration was measured. {T}o compare the relative performance of the models obtained for the two different sources of data, a suite of performance indicators were calculated. {O}ur results showed that {PTF} based on {MIR} spectra produces highly accurate and precise estimates of the total {S}i concentration for {F}rench soils. {T}he pedological {PTF} is less accurate, but still provides a good estimation of the {S}i concentration. {T}he pedological {PTF} provides an alternative method when only basic soil data are available, and an approximate estimation of {S}i concentrations is sufficient. {T}hese {PTF}s can be readily applied at the {E}uropean scale except on a few soil groups not represented in {F}rance.},
  keywords = {{S}ilicon ; {S}ilica ; {P}edotransfer function ; {D}iffuse reflectance ; {FTIR} ; {M}id-infrared spectra ; {R}egression tree ; {S}oil monitoring ; {FRANCE}},
  booktitle = {},
  journal = {{G}eoderma},
  volume = {331},
  numero = {},
  pages = {70--80},
  ISSN = {0016-7061},
  year = {2018},
  DOI = {10.1016/j.geoderma.2018.06.007},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073668},
}