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| Format: | Dataset Open Access |
| Langue: | en |
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PANGAEA
2026
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| Accès en ligne: | https://doi.org/10.1594/PANGAEA.991478 |
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| _version_ | 1867171903840452608 |
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| author | Ramskogler, Katharina Hofmeister, Florentin Castlunger, Sofia Kinzner, Sarah Tasser, Erich |
| author_facet | Ramskogler, Katharina Hofmeister, Florentin Castlunger, Sofia Kinzner, Sarah Tasser, Erich |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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). |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_991478 |
| institution | PANGAEA |
| language | en |
| publishDate | 2026 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | 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 5-years mean; calculated from daily data; Aspect; Bryophytes, cover; Calculated; percentage cover of the group relative to sum of all species; Calculated according to Florinsky (2017); Calculated based on the cover of the plant species and the Landolt indicator values (Landolt et al. 2010); Central European Alps; Competitive species, cover; Competitor–stress‑tolerator–ruderal strategists, cover; Cryophilic species, cover; Derived from the digital terrain model (DTM); Dwarf shrubs, cover; Eastness; ELEVATION; elevation transects; Environmental variables; Event label; Field survey; geomorphic disturbance; Graminoids, cover; Herbs, cover; 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; Horlach Valley Tyrol, Austria; Inclination; 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; Kauner Valley, Tyrol, Austria; Landodt indicator value for humus, community weighted mean; Landodt indicator value for light, community weighted mean; Landodt indicator value for nutrient content, community weighted mean; Landodt indicator value for soil dispersion, community weighted mean; Landodt indicator value for soil moisture, community weighted mean; Landodt indicator value for soil reactivity, community weighted mean; Landodt indicator value for temperature, community weighted mean; LATITUDE; Legumes, cover; Lichen, cover; LONGITUDE; 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; Martell Valley, South Tyrol, Italy; MULT; Multiple investigations; Northness; Precipitation, annual total; Ruderal species, cover; Sampling; Sampling date; Shrubs, cover; Species richness; Stability; Stream power index; Stress-tolerant species, cover; Temperature, annual mean; Thermophilic species, cover; Trees, cover; Type; Unvegetated area; Vascular species, cover 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). |
| title | Environmental variables along elevation gradients on disturbed and undisturbed sites in three valleys of the Central European Alps |
| topic | 5-years mean; calculated from daily data; Aspect; Bryophytes, cover; Calculated; percentage cover of the group relative to sum of all species; Calculated according to Florinsky (2017); Calculated based on the cover of the plant species and the Landolt indicator values (Landolt et al. 2010); Central European Alps; Competitive species, cover; Competitor–stress‑tolerator–ruderal strategists, cover; Cryophilic species, cover; Derived from the digital terrain model (DTM); Dwarf shrubs, cover; Eastness; ELEVATION; elevation transects; Environmental variables; Event label; Field survey; geomorphic disturbance; Graminoids, cover; Herbs, cover; 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; Horlach Valley Tyrol, Austria; Inclination; 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; Kauner Valley, Tyrol, Austria; Landodt indicator value for humus, community weighted mean; Landodt indicator value for light, community weighted mean; Landodt indicator value for nutrient content, community weighted mean; Landodt indicator value for soil dispersion, community weighted mean; Landodt indicator value for soil moisture, community weighted mean; Landodt indicator value for soil reactivity, community weighted mean; Landodt indicator value for temperature, community weighted mean; LATITUDE; Legumes, cover; Lichen, cover; LONGITUDE; 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; Martell Valley, South Tyrol, Italy; MULT; Multiple investigations; Northness; Precipitation, annual total; Ruderal species, cover; Sampling; Sampling date; Shrubs, cover; Species richness; Stability; Stream power index; Stress-tolerant species, cover; Temperature, annual mean; Thermophilic species, cover; Trees, cover; Type; Unvegetated area; Vascular species, cover |
| url | https://doi.org/10.1594/PANGAEA.991478 |