Tree radial growth response to climate: a synthetic study of pointer years in French forests
Badeau , Vincent (INRA (France). UMR 1137 UMR INRA / Univ. Nancy 1 : Ecologie et Ecophysiologie Forestières) | Bréda , Nathalie (INRA (France). UMR 1137 UMR INRA / Univ. Nancy 1 : Ecologie et Ecophysiologie Forestières) | Lebourgeois , François (INRA , NANCY CEDEX (France). UMR 1092 UMR INRA / ENGREF / AgroParisTech (Engref) : Laboratoire d'Etudes des Ressources Forêt-Bois) | Granier , André (INRA (France). UMR 1137 UMR INRA / Univ. Nancy 1 : Ecologie et Ecophysiologie Forestières) | Dupouey , Jean-Luc (INRA (France). UMR 1137 UMR INRA / Univ. Nancy 1 : Ecologie et Ecophysiologie Forestières)
Dendroecological studies began 20 years ago at the Phytoecological Laboratory of the Na-tional Agronomic Research Institute in France (INRA). Large surveys have been carried out in several geographical regions and forests allowing the study of radial growth of individual trees during the past 150 years. This contribution focuses on the analysis of pointer years and summarizes the results ob-tained for 8 species (Fagus sylvatica, Quercus petraea, Quercus robur, Fraxinus excelsior, Abies alba, Pinus uncinata, Pinus sylvestris, Picea abies) and 12 regions (with an average of 500 analysed trees for each study). This first dataset is supplemented by the data collected on 40 sites and 5 species of the French Permanent Network for the Monitoring of Forest Ecosystems (RENECOFOR – European Network – Level II plots). The frequency and amplitude of pointer years are discussed according to the species and the sampling areas. A multivariate analysis of the sites x pointer years table allows an ordi-nation of species according to their sensitivity to climatic factors. Fagus sylvatica seems to be the most “sensitive” species to inter-annual climatic variations whatever its location and, for the whole sample, regional and species effects are pointed out. The number of pointer years observed in a given stand is strongly correlated with the average site dryness, clearly showing that spatial variations of drought control tree radial growth. We finally analyse the interannual correlation between water stress variations and pointer years.
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