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Author (up) Gourlet-Fleury, S.; Blanc, L.; Picard, N.; Sist, P.; Dick, J.; Nasi, R.; Swaine, M.D.; Forni, E. openurl 
  Title Grouping species for predicting mixed tropical forest dynamics: looking for a strategy Type Journal Article
  Year 2005 Publication Annals of Forest Science Abbreviated Journal Ann. For. Sci.  
  Volume 62 Issue 8 Pages 785-796  
  Keywords cross-comparisons; functional groups; modelling strategy; species classifications  
  Abstract The high species diversity of mixed tropical forests hinders the development of forest dynamic models. A solution commonly adopted is to cluster species in groups. There are various methods for grouping species that can be linked to three strategies (i) the ecological subjective strategy, (ii) the ecological data-driven strategy, and (iii) the dynamic process strategy. In the first two strategies a species will be assigned to a single group while in the latter strategy, a specific grouping is defined for each process of population dynamics ( typically based on recruitment, growth, mortality). Little congruency or convergence is observed in the literature between any two classifications of species. This may be explained by the independence between the sets of tree characters used to build species groups, or by the intra-specific variability of these characters. We therefore recommend the dynamic process strategy as the most convenient strategy for building groups of species.  
  Address Cirad Foret, F-34398 Montpellier, France, Email: sylvie.gourlet-fleury@cirad.fr  
  Corporate Author Thesis  
  Publisher EDP SCIENCES S A Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1286-4560 ISBN Medium  
  Area Expedition Conference  
  Notes ISI:000233972500001 Approved no  
  Call Number EcoFoG @ eric.marcon @ Serial 228  
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