Not logged in
Data Publisher for Earth & Environmental Science

Traiser, Christopher; Mosbrugger, Volker (2006): European Leaf Physiognomic Approach ELPA. PANGAEA,, Supplement to: Traiser, Christopher (2004): Blattphysiognomie als Indikator für Umweltparameter: Eine Analyse rezenter und fossiler Floren (Leaf physiognomy as environmental indicator : An analysis of extant and fossil floras). PhD Thesis, Geowissenschaftlichen Fakultät der Eberhard-Karls Universität Tübingen, Germany, 113 pp, urn:nbn:de:bsz:21-opus-14947

Always quote above citation when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Physiognomic traits of plant leaves such as size, shape or margin are decisively affected by the prevailing environmental conditions of the plant habitat. On the other hand, if a relationship between environment and leaf physiognomy can be shown to exist, vegetation represents a proxy for environmental conditions.
This study investigates the relationship between physiognomic traits of leaves from European hardwood vegetation and environmental parameters in order to create a calibration dataset based on high resolution grid cell data. The leaf data are obtained from synthetic chorologic floras, the environmental data comprise climatic and ecologic data. The high resolution of the data allows for a detailed analysis of the spatial dependencies between the investigated parameters. The comparison of environmental parameters and leaf physiognomic characters reveals a clear correlation between temperature related parameters (e.g. mean annual temperature or ground frost frequency) and the expression of leaf characters (e.g. the type of leaf margin or the base of the lamina). Precipitation related parameters (e.g. mean annual precipitation), however, show no correlation with the leaf physiognomic composition of the vegetation. On the basis of these results, transfer functions for several environmental parameters are calculated from the leaf physiognomic composition of the extant vegetation.
In a next step, a cluster analysis is applied to the dataset in order to identify "leaf physiognomic communities". Several of these are distinguished, characterised and subsequently used for vegetation classification. Concerning the leaf physiognomic diversity there are precise differences between each of these "leaf physiognomic classes". There is a clear increase of leaf physiognomic diversity with increasing variability of the environmental parameters: Northern vegetation types are characterised by a more or less homogeneous leaf physiognomic composition whereas southern vegetation types like the Mediterranean vegetation show a considerable higher leaf physiognomic diversity.
Finally, the transfer functions are used to estimate palaeo-environmental parameters of three fossil European leaf assemblages from Late Oligocene and Middle Miocene. The results are compared with results obtained from other palaeo-environmental reconstructing methods. The estimates based on a direct linear ordination seem to be the most realistic ones, as they are highly consistent with the Coexistence Approach.
Median Latitude: 50.648011 * Median Longitude: 14.154305 * South-bound Latitude: 36.250000 * West-bound Longitude: -9.250000 * North-bound Latitude: 60.250000 * East-bound Longitude: 44.750000
3 datasets

Download Data

Download ZIP file containing all datasets as tab-delimited text (use the following character encoding: )