European Leaf Physiognomic Approach ELPA


Autoria(s): Traiser, Christopher; Mosbrugger, Volker
Cobertura

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

Data(s)

05/12/2006

Resumo

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.

Formato

application/zip, 3 datasets

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.552352

doi:10.1594/PANGAEA.552352

Idioma(s)

en

Publicador

PANGAEA

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

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

Palavras-Chave #-; ap_acut; ap_emar; ap_obtu; ATR; ba_acut; ba_emba; ba_obtu; Biomass, potential per year; Biom pot; Cluster; Cluster 2; Cluster analysis; Cluster type; Cluster type 2; CMT; Diversity, simple; Diversity simp; DTR; e; Elevation; ELEVATION; Evergreen; Evergreen taxa, portion in the vegetation; FD; ff; Global mean monthly terrestrial climatology; Ground frost, days per year; Growing season length; GSL; GSP; HMP; LAI; Latitude; LATITUDE; le_lobe; le_simp; leaf apex acute; Leaf apex acute; leaf apex emarginate; Leaf apex emarginate; leaf apex obutse; Leaf apex round; Leaf area index; leaf base acute; Leaf base acute; Leaf base cordate; leaf base embayed; leaf base obtuse; Leaf base round; leaf length/width ratio < 1:1; Leaf length/width ratio < 1:1; leaf length/width ratio > 4:1; Leaf length/width ratio > 4:1; leaf length/width ratio 1-2:1; Leaf length/width ratio 1-2:1; leaf length/width ratio 2-3:1; Leaf length/width ratio 2-3:1; leaf length/width ratio 3-4:1; Leaf length/width ratio 3-4:1; leaf lobed; Leaf lobed; Leaf margin, entire; leaf margin entire; Leaf physiognomic character scoring (Wolfe, 1993, US Geol Surv Bull 2040:1-71); Leaf shape ellipitic; leaf shape elliptic; leaf shape obovate; Leaf shape obovate; leaf shape ovate; Leaf shape ovate; leaf simple; Leaf simple; leaf size Leptophyll 1; Leaf size leptophyll 1, 5-20 mm2; leaf size Leptophyll 2; Leaf size leptophyll 2, 20-80 mm2; leaf size Mesophyll 1; Leaf size mesophyll 1, 3600-6200 mm2; leaf size Mesophyll 2; Leaf size mesophyll 2, 6200-10000 mm2; leaf size Mesophyll 3; Leaf size mesophyll 3, > 10000 mm**2; leaf size Microphyll 1; Leaf size microphyll 1, 80-400 mm2; leaf size Microphyll 2; Leaf size microphyll 2, 400-1400 mm2; leaf size Microphyll 3; Leaf size microphyll 3, 1400-3600 mm2; Leaf size nanophyll, < 5 mm**2; leaf size Nanophyll 1; LMP; Longitude; LONGITUDE; ls_lep1; ls_lep2; ls_mes1; ls_mes2; ls_mes3; ls_mic1; ls_mic2; ls_mic3; ls_nan1; lw_1; lw_2; lw_3; lw_4; lw_5; ma_enti; MAP; MAT; Modelling primary productivity of the earth (Lieth, 1972, Nature Resources 8); ORDINAL NUMBER; Ord No; P 3min; PD; Precipitation, annual mean; Precipitation, growing season; Precipitation days per year; Precipitation of 3 consecutive driest months per year; Precipitation of the driest month; Precipitation of the wettest month; sh_elli; sh_obov; sh_ovat; Short-wave downward (GLOBAL) radiation; Species; SWD; Synthetic chorologic flora lists; Temperature, annual mean; Temperature, annual range; Temperature, coldest month; Temperature, range daily; Temperature, sum of daily mean temperatures per year; Temperature, warmest month; Tsum; Water vapor pressure; Wind speed; WMT
Tipo

Dataset