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Vegetation traits of pre-Alpine grasslands in southern Germany

Schucknecht, Anne 1; Krämer, Alexander; Asam, Sarah; Mejia-Aguilar, Abraham; Garcia-Franco, Noelia; Schuchardt, Max A.; Jentsch, Anke; Kiese, Ralf ORCID iD icon 1
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract:

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.


Verlagsausgabe §
DOI: 10.5445/IR/1000126111
Originalveröffentlichung
DOI: 10.1038/s41597-020-00651-7
Scopus
Zitationen: 5
Dimensions
Zitationen: 10
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2020
Sprache Englisch
Identifikator ISSN: 2052-4463
KITopen-ID: 1000126111
HGF-Programm 12.02.01 (POF III, LK 01) Effects of land use and climate change
Erschienen in Scientific data
Verlag Nature Research
Band 7
Heft 1
Seiten Art. Nr.: 316
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 28.09.2020
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