Publications des scientifiques de l'IRD

Trap Jean, Bureau F., Perez G., Aubert M. (2013). PLS-regressions highlight litter quality as the major predictor of humus form shift along forest maturation. Soil Biology and Biochemistry, 57, p. 969-971. ISSN 0038-0717.

Titre du document
PLS-regressions highlight litter quality as the major predictor of humus form shift along forest maturation
Année de publication
2013
Type de document
Article référencé dans le Web of Science WOS:000317247100118
Auteurs
Trap Jean, Bureau F., Perez G., Aubert M.
Source
Soil Biology and Biochemistry, 2013, 57, p. 969-971 ISSN 0038-0717
Using Partial Least Squares regression, we ranked the ability of leaf litter and topsoil properties to predict humus form shift along a 130-yr-old pure beech forest chronosequence. Three models were tested, including only litter properties (model 1), only topsoil properties (model 2) and both litter and topsoil properties (model 3). The first model was highly significant and explained more than 91% of the humus form variability with N-based variables, Mn, Mg and K as the best predictors. The second model showed lower goodness of fit (75%) with Ca and Mg contents, pH(KCl) and Delta pH as good predictors. The last model showed that litter traits were better predictors compared to topsoil variables, suggesting that beech trees may impact humus form along forest development mainly through aboveground pathways.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Pédologie [068] ; Etudes, transformation, conservation du milieu naturel [082]
Localisation
Fonds IRD [F B010060830]
Identifiant IRD
fdi:010060830
Contact