on the publication serverTitle data
Schucknecht, Anne ; Krämer, Alexander ; Asam, Sarah ; Mejia-Aguilar, Abraham ; Garcia-Franco, Noelia ; Schuchardt, Max A. ; Jentsch, Anke ; Kiese, Ralf:
Vegetation traits of pre-Alpine grasslands in southern Germany.
In: Scientific Data.
Vol. 7
(28 September 2020)
.
- No. 316.
ISSN 2052-4463
DOI: https://doi.org/10.1038/s41597-020-00651-7
Abstract in another language
The data set contains information on aboveground vegetation traits of > 100 georeferenced locations within ten temperate pre-Alpine grassland plots in southern Germany. The grasslands were sampled in April 2018 for the following traits: bulk canopy height; weight of fresh and dry biomass; dry weight percentage of the plant functional types (PFT) non-green vegetation, legumes, non-leguminous forbs, and graminoids; total green area index (GAI) and PFT-specific GAI; plant water content; plant carbon and nitrogen content (community values and PFT-specific values); as well as leaf mass per area (LMA) of PFT. In addition, a species specific inventory of the plots was conducted in June 2020 and provides plot-level information on grassland type and plant species composition. The data set was obtained within the framework of the SUSALPS project (“Sustainable use of alpine and pre-alpine grassland soils in a changing climate”; https://www.susalps.de/) to provide in-situ data for the calibration and validation of remote sensing based models to estimate grassland traits.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Disturbance Ecology > Professor Disturbance Ecology - Univ.-Prof. Dr. Anke Jentsch Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 500 Science |
| Date Deposited: | 08 Oct 2020 12:00 |
| Last Modified: | 08 Oct 2020 12:00 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/57873 |
