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The functional basis of a primary succession resolved by CSR classification
Author(s) -
Caccianiga Marco,
Luzzaro Alessandra,
Pierce Simon,
Ceriani Roberta M.,
Cerabolini Bruno
Publication year - 2006
Publication title -
oikos
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.672
H-Index - 179
eISSN - 1600-0706
pISSN - 0030-1299
DOI - 10.1111/j.0030-1299.2006.14107.x
Subject(s) - ruderal species , ecological succession , ecology , primary succession , vegetation (pathology) , context (archaeology) , biology , habitat , paleontology , medicine , pathology
CSR classification aims to apply CSR theory to large numbers of plants in situ, thereby allowing the investigation of communities within a functional context. However, it has only ever been applied to British vegetation, during the development of the technique, and has not yet been used to investigate specific vegetation processes. Here, a vegetation primary succession on a glacier foreland (Rutor glacier, Aosta, Italy) was used as a ‘test bed’ for the hypothesis that CSR classification can distinguish functional shifts during this vegetation process. Morpho‐functional traits were used to calculate CSR coordinates for 45 species throughout the glacier foreland. General functional similarities between species were verified using principal components analysis (PCA). CSR classification demonstrated a functional shift from broadly ruderal pioneers towards stress‐tolerance in late succession. PCA 1 correlated with S and R strategies, confirming this gradient. Till deposited at the retreating glacier terminus provides a substrate that can support faster growing species (with high foliar N contents), but is only tenable to those that can avoid physical disturbance via rapid phenological development (i.e. ruderals). Stress‐tolerance and lower N contents in late succession suggest selection for efficient nutrient use. CSR classification demonstrated that competitive traits were ubiquitous but of much lesser importance than stress‐tolerance or ruderalism (also correlating with PCA 2 and 3). The detailed visualization provided by CSR classification, combined with its mechanistic explanation of community change, demonstrate the promise of this methodology as a quantitative tool for comparative community ecology.