Fine-root turnover rates of European forests revisited: an analysis of data from sequential coring and ingrowth cores

Brunner I., Bakker Mark, Björk Robert G., Hirano Y., Lukac M., Aranda X., Borja I., Eldhuset T.D., Helmisaari H.S., Jourdan Christophe, Konôpka B., Lopez B.C., Miguel Pérez C., Persson H., Ostonen I.. 2013. Fine-root turnover rates of European forests revisited: an analysis of data from sequential coring and ingrowth cores. Plant and Soil, 362 (1-2) : pp. 357-372.

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 (312kB)

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

Abstract : Background and Aims. Forest trees directly contribute to carbon cycling in forest soils through the turnover of their fine roots. In this study we aimed to calculate root turnover rates of common European forest tree species and to compare them with most frequently published values. Methods. We compiled available European data and applied various turnover rate calculation methods to the resulting database. We used Decision Matrix and Maximum-Minimum formula as suggested in the literature. Results. Mean turnover rates obtained by the combination of sequential coring and Decision Matrix were 0.86 yr-1 for Fagus sylvatica and 0.88 yr-1 for Picea abies when maximum biomass data were used for the calculation, and 1.11 yr-1 for both species when mean biomass data were used. Using mean biomass rather than maximum resulted in about 30 % higher values of root turnover. Using the Decision Matrix to calculate turnover rate doubled the rates when compared to the Maximum-Minimum formula. The Decision Matrix, however, makes use of more input information than the Maximum-Minimum formula. Conclusions We propose that calculations using the Decision Matrix with mean biomass give the most reliable estimates of root turnover rates in European forests and should preferentially be used in models and C reporting. (Résumé d'auteur)

Mots-clés Agrovoc : forêt tempérée, forêt mélangée, Système racinaire, Racine, Développement biologique, Biomasse, Modèle mathématique, Sol de forêt, Production forestière, Fagus sylvatica, Picea abies, Pinus sylvestris

Mots-clés géographiques Agrovoc : Europe

Classification Agris : F62 - Plant physiology - Growth and development
U10 - Mathematical and statistical methods
K01 - Forestry - General aspects

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

Auteurs et affiliations

  • Brunner I., WSL (CHE)
  • Bakker Mark, Université de Bordeaux (FRA)
  • Björk Robert G., University of Göttingen (DEU)
  • Hirano Y., Nagoya University (JPN)
  • Lukac M., University of Reading (GBR)
  • Aranda X., IRTA (ESP)
  • Borja I., Norwegian Forest and Landscape Institute (NOR)
  • Eldhuset T.D., Norwegian Forest and Landscape Institute (NOR)
  • Helmisaari H.S., University of Helsinki (FIN)
  • Jourdan Christophe, CIRAD-PERSYST-UMR Eco&Sols (FRA)
  • Konôpka B., Czech University of Life Sciences (CZE)
  • Lopez B.C., Center for Ecological Research and Forestry Applications, and Ecology (ESP)
  • Miguel Pérez C., IRTA (ESP)
  • Persson H., Swedish University of Agricultural Sciences (SWE)
  • Ostonen I., University of Tartu (EST)

Source : Cirad - Agritrop (

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

[ Page générée et mise en cache le 2020-10-14 ]