Deriving functional types for rain-forest trees

A common goal in functional type research is to find a useful classificatio n that defines the dynamic behaviour of groups of species in relation to en vironmental variation. Long-term data sets on the dynamics of forests are d ifficult to obtain; thus, it would be useful if more readily available data , such as that on morphologoical and life history characters, could be used to derive groups that reflect the dynamics of the species. We used a 30-yr data set on the dynamics of subtropical rainforests in Australia to derive classification based on the dynamics of the species and compared this clas sification with groups of species derived by other approaches. Functional t ypes were derived for ca. 80 tree species using subjective, deductive and d ata-driven approaches. The subjective classification used was a pioneer to late successional grouping. The deductive classification was an extension o f the vital attribute approach. Two data sets were used for the data-based classifications, one based on mo rphological, life history and phenological characters (morphological data) readily available from taxonomic descriptions and another based on long-ter m observations on the establishment, growth and death of all individuals on permanent plots (dynamic data). SAHN (Sequential, Agglomerative, Hierarchical and Nested) clustering techni ques were used for the numerical classifications. There was some similarity between the classification based on dynamic characters and the subjective and deductive classifications. The classification based on the readily avai lable morphological characters showed less similarity with other classifica tions. However, the morphological data could be used to predict group membe rship in the dynamic classification using discriminant analysis with 87% ac curacy. Thus, it appears that surrogate classifications might be found to d escribe the dynamics of the subtropical rainforest site. Further exploratio n and testing at other sites is required, especially to link the functional classification to specific perturbations.