Publications des scientifiques de l'IRD

Gomez Cécile, Chevallier Tiphaine, Moulin P., Bouferra I., Hmaidi K., Arrouays D., Jolivet C., Barthès Bernard. (2020). Prediction of soil organic and inorganic carbon concentrations in Tunisian samples by mid-infrared reflectance spectroscopy using a French national library. Geoderma, 375, art. 114469 [14 p.]. ISSN 0016-7061.

Titre du document
Prediction of soil organic and inorganic carbon concentrations in Tunisian samples by mid-infrared reflectance spectroscopy using a French national library
Année de publication
2020
Type de document
Article référencé dans le Web of Science WOS:000551513100010
Auteurs
Gomez Cécile, Chevallier Tiphaine, Moulin P., Bouferra I., Hmaidi K., Arrouays D., Jolivet C., Barthès Bernard
Source
Geoderma, 2020, 375, art. 114469 [14 p.] ISSN 0016-7061
Mid-infrared reflectance spectroscopy (MIRS, 4000-400 cm-1) is being considered to provide accurate estimations of soil properties, including soil organic carbon (SOC) and soil inorganic carbon (SIC) contents. This approach has mainly been demonstrated by using datasets originating from the same area A, with similar geopedological conditions, to build, validate and test prediction models. The objective of this study was to analyse how MIRS performs when applied to predict SOC and SIC contents, from a calibration database collected over a region A, to predict over a region B, where A and B have no common area and different soil and climate conditions. This study used a French MIRS soil dataset including 2178 topsoil samples to calibrate SIC and SOC prediction models with partial least squares regression (PLSR), and a Tunisian MIRS topsoil dataset including 96 soil samples to test them. Our results showed that when using the French MIRS soil database, i) the SOC and SIC of French validation samples were successfully predicted using global models (R2val = 0.88 and 0.98, respectively), ii) the SIC of Tunisian samples was also predicted successfully both using a global model and using a selection of spectral neighbours from the French calibration database (R2test of 0.96 for both), iii) the SOC of Tunisian samples was predicted moderately well by global model (R2test of 0.64) and a transformation by natural logarithm of the calibration SOC values significantly improved the SOC prediction of Tunisian samples (R2test of 0.97), and iv) a transformation by natural logarithm of SOC values provided more benefit than a selection of spectral neighbours from the French calibration database for predicting Tunisian SOC values. Therefore, in the future, MIRS might replace conventional physico-chemical analysis techniques, or at least be considered as an alternative technique, especially when optimally exhaustive calibration databases will become available.
Plan de classement
Géologie et formations superficielles [064] ; Pédologie [068] ; Documentation [124]
Localisation
Fonds IRD [F B010078832]
Identifiant IRD
fdi:010078832
Contact
  • Coordonnées :
    IST / IRD Ile-de-France
    32 avenue Henri Varagnat
    93140 Bondy Cedex
    France
    Horizon Pleins textes
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