PANGAEA_991478 Environmental variables along elevation gradients on disturbed and undisturbed sites in three valleys of the Central European Alps Ramskogler, Katharina; Hofmeister, Florentin; Castlunger, Sofia; Kinzner, Sarah; Tasser, Erich Environmental variables along elevation gradients on disturbed and undisturbed sites in three valleys of the Central European Alps 2026-02-17 PANGAEA Dataset https://doi.pangaea.de/10.1594/PANGAEA.991478 Investigator Katharina Ramskogler katharina.ramskogler@oeaw.ac.at Earth Science Event label LATITUDE LONGITUDE ELEVATION Sampling date Sampling Stability Type Vascular species, cover Unvegetated area Species richness Cryophilic species, cover Thermophilic species, cover Stress-tolerant species, cover Competitive species, cover Ruderal species, cover Competitor–stress‑tolerator–ruderal strategists, cover Trees, cover Shrubs, cover Dwarf shrubs, cover Herbs, cover Legumes, cover Graminoids, cover Bryophytes, cover Lichen, cover Stream power index Aspect Northness Eastness Inclination Temperature, annual mean Precipitation, annual total Landodt indicator value for light, community weighted mean Landodt indicator value for temperature, community weighted mean Landodt indicator value for humus, community weighted mean Landodt indicator value for nutrient content, community weighted mean Landodt indicator value for soil reactivity, community weighted mean Landodt indicator value for soil dispersion, community weighted mean Landodt indicator value for soil moisture, community weighted mean geoscientificInformation Central European Alps elevation transects Environmental variables geomorphic disturbance Hor_elev_11 Hor_elev_12 Hor_elev_21 Hor_elev_31 Hor_elev_32 Hor_elev_41 Hor_elev_42 Hor_elev_51 Hor_elev_52 Hor_elev_61 Hor_elev_62 Hor_elev_71 Hor_elev_72 Kau_elev_11 Kau_elev_21 Kau_elev_31 Kau_elev_32 Kau_elev_41 Kau_elev_51 Kau_elev_52 Kau_elev_61 Kau_elev_62 Kau_elev_71 Kau_elev_72 Mar_elev_11 Mar_elev_12 Mar_elev_21 Mar_elev_22 Mar_elev_31 Mar_elev_32 Mar_elev_41 Mar_elev_42 Mar_elev_51 Mar_elev_52 Mar_elev_61 Mar_elev_62 Mar_elev_71 Mar_elev_72 Multiple investigations Field survey Calculated; percentage cover of the group relative to sum of all species Calculated according to Florinsky (2017) Derived from the digital terrain model (DTM) 5-years mean; calculated from daily data Calculated based on the cover of the plant species and the Landolt indicator values (Landolt et al. 2010) 2019-07-08 2022-08-22 Complete 46.47222 47.173718 10.63533 11.018249 2117.0 m a.s.l. (ELEVATION) 2857.0 m a.s.l. (ELEVATION) unrestricted CC-BY-4.0: Creative Commons Attribution 4.0 International English PANGAEA Data Publisher for Earth & Environmental Science https://www.pangaea.de/ Data Center Contact Michael Diepenbroek info@pangaea.de

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Bremen Bremen 28359 Germany online 1909 data points text/tab-separated-values Kinzner, Sarah; Ramskogler, Katharina; Castlunger, Sofia; Hofmeister, Florentin; Tasser, Erich (2026): Influence of Geomorphic Disturbance on Phenotypic Species Plasticity and Vegetation Cover in High‐Elevated Belts. Ecology and Evolution, 16(3), e73056, https://doi.org/10.1002/ece3.73056 Dial, Roman (2017): How to use aspects i.e. N, NE, SE etc. in PCA or CCA for analysis, especially using PAST. research gate, answer to a question Florinsky, Igor V (2017): An illustrated introduction to general geomorphometry. Progress in Physical Geography, 41(6), 723-752, https://doi.org/10.1177/0309133317733667 Landolt, E; Bäumler, B; Ehrhardt, A; Hegg, O; Klötzli, F; Lämmler, W; Nobis, M; Rudmann-Maurer, K; Schweingruber, Fritz Hans; Theurillat, J-P; Urmi, E; Vust, M; Wohlgemuth, T (2010): Flora indicativa: ökologische Zeigerwerte und biologische Kennzeichen zur Flora der Schweiz und der Alpen. Bern (in German), https://www.zora.uzh.ch/entities/publication/9a6da929-6630-4a6f-8afb-0a6a7f1a4a93 Schulla, Jörg (2021): Model Description WaSiM (Water balance Simulation Model). Hydrology Software Consulting J. Schulla, Zürich Metadata of meteorological stations. https://download.pangaea.de/reference/137802/attachments/Metadata_of_meteorological_stations.xlsx

The European Alps are particularly affected by climate change, experiencing more frequent heavy rainfall events as well as degradation of permafrost. These changes, in turn, trigger disturbance by geomorphic processes, which can influence vegetation development. The objective of the study of Kinzner et al. (2026) was to analyse the effects of disturbance on vegetation cover and species richness and to assess the response of individual species and plant groups and also analyse the effects of environmental parameters. In three different valleys in the Central European Alps vegetation surveys were conducted along elevation gradients. At each 100-metre interval of elevation, wherever feasible, a plot was established on a disturbed site as well as always a plot on undisturbed sites with a size or 10 × 10. The surveys in Martell Valley and Kauner Valley were performed twice, the one in Horlach Valley once. We estimated the cover of vascular species in percent. Using the cover values we calculated the community weighted means (CWM) of each Landolt indicator value (Landolt et al. 2010). Additionally, we calculated the relative cover of cryophilic and thermophilic species, different strategy types, and different functional plant groups. Furthermore, we extracted for each point the elevation, inclination, and aspect from digital terrain models (DTM) provided by the Chair of Physical geography of the Catholic University of Eichstaett-Ingolstadt (for Kauner and Horlach Valley from 2017 and for Martell Valley from 2019). The extracted aspect was transformed to northness and eastness according to Dial (2017). The Stream Power Index (SPI) as a hydro-geomorphic prarameter was calculated following Florinsky (2017). A further parameter used, was the 5-years mean of the annual temperature and the 5-years mean of the annual sum of precipitation. Both values were calculated from daily data based on meteorological observations from weather stations in the surrounding. For inter- and extrapolating the daily mean temperature and the daily sum of precipitation to a 25 × 25 m grid resolution, we employed the fully distributed Water Flow and Balance Simulation Model (WaSiM) version 10.04.07 (Schulla 2021). ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.991478"!

http://en.wikipedia.org/wiki/Elevation ELEVATION http://en.wikipedia.org/wiki/ISO_6709 LATITUDE http://en.wikipedia.org/wiki/ISO_6709 LONGITUDE https://doi.org/10.1002/ece3.73056 Influence of Geomorphic Disturbance on Phenotypic Species Plasticity and Vegetation Cover in High‐Elevated Belts https://doi.org/10.1177/0309133317733667 An illustrated introduction to general geomorphometry https://doi.org/10.1177/0309133317733667 Calculated according to Florinsky (2017) https://en.wikipedia.org/wiki/Aspect_%28geography%29 Aspect https://www.zora.uzh.ch/entities/publication/9a6da929-6630-4a6f-8afb-0a6a7f1a4a93 Flora indicativa: ökologische Zeigerwerte und biologische Kennzeichen zur Flora der Schweiz und der Alpen DIF 9.4 2026-02-17 2026-04-30