TAILIEUCHUNG - Báo cáo lâm nghiệp: "Grouping species for predicting mixed tropical forest dynamics: looking for a strategy"

Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài: "Grouping species for predicting mixed tropical forest dynamics: looking for a strategy" | Ann. For. Sci. 62 2005 785-796 INRA EDP Sciences 2005 DOI forest 2005084 785 Review Grouping species for predicting mixed tropical forest dynamics looking for a strategy Sylvie GOURLET-FLEURYa Lilian BLANCb Nicolas PICARDa Plinio SISTc Jan DICKd Robert NASIe Mike D. SWAINEf Eric FORNIa a Cirad-forêt TA 10 D Campus International de Baillarguet 34398 Montpellier Cedex 5 France b Cirad-forêt Campus agronomique de Kourou BP 701 97387 Kourou Cedex Guyane France c EMBRAPA Amazonia Oriental Cirad-forêt Travessa Eneas Pinheiro Belem PA 66095-100 Brazil d Center for Ecology and Hydrology Bush Estate Penicuik Midlothian EH26 0QB Scotland United Kingdom e Cirad-forêt CIFOR TA 10 D Campus International de Baillarguet 34398 Montpellier Cedex 5 France f Aberdeen University School of Biological Sciences Aberdeen AB24 3UU United Kingdom Received 3 November 2004 accepted 15 April 2005 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. cross-comparisons functional groups modelling strategy species classifications Résumé - Grouper les espèces pour prédire la

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