Modelling root demography in heterogeneous mountain forests and applications for slope stability analysis

Mao Zhun, Jourdan Christophe, Bonis Marie-Laure, Pailler François, Rey Hervé, Saint André Laurent, Stokes Alexia. 2013. Modelling root demography in heterogeneous mountain forests and applications for slope stability analysis. Plant and Soil, 363 (1-2) : pp. 357-382.

Journal article ; Article de revue à facteur d'impact
[img] Published version - Anglais
Access restricted to CIRAD agents
Use under authorization by the author or CIRAD.

Télécharger (4MB)

Quartile : Q1, Sujet : AGRONOMY / Quartile : Q1, Sujet : SOIL SCIENCE / Quartile : Q1, Sujet : PLANT SCIENCES

Abstract : Background and aims Plant roots provide mechanical cohesion (cr) to soil on slopes which are prone to shallow landslides. cr varies in heterogeneous natural forests due to the spatial, inter- and intra-annual dynamics of root demography. Characterizing root initiation density and mortality, as well as how root growth is influenced by abiotic and biotic factors is essential for exploring a root system's capacity to reinforce soil. Methods In this study, root demography data were monitored using field rhizotrons during 1.5 years in two naturally regenerated mixed forests in the French Alps. These forests are composed of trees growing in groups (tree islands) with large gaps between the islands. Three categories of driving variables were measured: (i) spatial factors: altitude (1,400 m, 1,700 m), ecological patch (gap, tree island), soil depth (0.0-1.0 m divided into five layers of 0.2 m); (ii) temporal factors: month (12 months from March 2010 to February 2011), winter (winter of 2009-2010 and 2010-2011); (iii) biological factors: root diameter classes (]0, 1] mm, ]1, 2] mm, ]2, 5] mm (according to the international standard ISO 31-11, ]x, y] denotes a left half-open interval fromx (excluded) to y (included)). Two types of two-part models, a Hurdle model (H) and a Zero-inflated model (ZI) were used to fit root data with a high zero population, i.e. if root initiation or mortality was zero during a given time period, or if roots were not present at all points throughout a soil profile. Results Root initiation quantity decreased with increasing soil depth, as well as being lower in tree islands. Both soil depth and ecological patch interacted strongly with altitude. Root dynamics were significantly less active with a lower net production and cr increment in winter and spring than in summer and autumn. Roots which were ]1, 2] mm in diameter contributed the most to cr compared to other diameter classes, as they had a high production but a low mortality. With regard to model selection, both H and ZI demonstrated similar outcomes and underestimated extreme values of root demography data. Conclusion All factors contributed towards explaining the variability of root demography and cr. We suggest taking into consideration the seasonality of root dynamics when studying root reinforcement. (Résumé d'auteur)

Mots-clés Agrovoc : forêt mélangée, Picea abies, Abies alba, Fagus sylvatica, Système racinaire, Développement biologique, Croissance, Modèle de simulation, Terre en pente, Région d'altitude, Facteur climatique, Profondeur, Facteur édaphique, Variation saisonnière

Mots-clés géographiques Agrovoc : Alpes, Rhône-Alpes

Classification Agris : F62 - Plant physiology - Growth and development
F50 - Plant structure
K01 - Forestry - General aspects

Champ stratégique Cirad : Axe 6 (2005-2013) - Agriculture, environnement, nature et sociétés

Auteurs et affiliations

  • Mao Zhun, INRA (FRA)
  • Jourdan Christophe, CIRAD-PERSYST-UMR Eco&Sols (FRA)
  • Bonis Marie-Laure, INRA (FRA)
  • Pailler François, INRA (FRA)
  • Saint André Laurent, CIRAD-PERSYST-UMR Eco&Sols (FRA)
  • Stokes Alexia, INRA (FRA)

Source : Cirad - Agritrop (

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-02-24 ]