@article{fdi:010095398,
  title = {{P}redicting the proportion of centennially stable soil organic carbon using mid-infrared spectroscopy},
  author = {{P}acini, {L}. and {S}chiedung, {M}. and {S}tojanova, {M}. and {R}oudier, {P}. and {A}rbelet, {P}. and {B}arre, {P}. and {B}audin, {F}. and {C}ambou, {A}ur{\'e}lie and {C}ecillon, {L}. and {H}einonsalo, {J}. and {K}arhu, {K}. and {M}c{N}ally, {S}. and {O}mondiagbe, {P}. and {P}oeplau, {C}. and {S}aby, {N}. {P}. {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}ecent work has shown that it is possible to quantify the proportion of centennially stable soil organic carbon ({SOC}) by using {R}ock-{E}val ({R}) thermal analysis results as input variables for {PARTY}soc, a learning model calibrated on long term experiments data. {T}his method of quantifying {SOC} biogeochemical stability holds promise for improving projections of {SOC} stock evolutions. {H}ere, we assessed the potential of mid-infrared spectroscopy ({MIR}) as a lower-cost, higher-throughput technique to facilitate its wide-scale deployment. {W}e compiled a spectral library of over 1,800 records obtained through the scanning of samples from the {F}rench {R}e<acute accent>seau de {M}esure de la {Q}ualite<acute accent> des {S}ols to calibrate a model using {MIR} data to predict the proportion of centennially stable {SOC}. {T}he model gave accurate predictions ({RMSE} = 0.06, {RPD} = 2.21, {RPIQ} = 3.26), suggesting that {MIR} spectra contain relevant information on {SOC} biogeochemical stability. {W}e then tried to transfer this model directly to datasets acquired using another {MIR} spectrometer on {G}erman and {F}innish soil samples. {T}he accuracy of the predictions was degraded, even when using the {CORAL} data alignment method to harmonise the different spectral datasets. {O}ur results show that it is possible to predict the proportion of centennially stable carbon determined by the {PARTY}soc model using {MIR} spectroscopy. {H}owever, we found that the transfer of such models to different soils, scanned with different instruments or different protocols, is difficult. {L}arge-scale deployment of such models will require careful calibration transfer, probably associated to local calibration within a similar spectral space.},
  keywords = {{SOC} fractions ; {T}hermal fractionation ; {R}ock-{E}val ({R}) ; {MIR} spectroscopy ; {C}hemometrics},
  booktitle = {},
  journal = {{G}eoderma},
  volume = {462},
  numero = {},
  pages = {117536 [11 p.]},
  ISSN = {0016-7061},
  year = {2025},
  DOI = {10.1016/j.geoderma.2025.117536},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095398},
}