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Wintertime grassland dynamics may influence belowground biomass under climate change: a model analysis

Katata, Genki 1; Grote, Rüdiger ORCID iD icon 1; Mauder, Matthias 1; Zeeman, Matthias J. 1; Ota, Masakazu
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Rising temperatures and changes in snow cover, as can be expected under a warmer global climate, may have large impacts on mountain grassland productivity limited by cold and long winters. Here, we combined two existing models, the multi-layer atmosphere-SOiL-VEGetation model (SOLVEG) and the BASic GRAssland model (BASGRA), which accounts for snow, freeze–thaw events, grass growth, and soil carbon balance. The model was applied to simulate the responses of managed grasslands to anomalously warm winter conditions. The grass growth module considered key ecological processes under a cold environment, such as leaf formation, elongation and death, tillering, carbon allocation, and cold acclimation, in terms of photosynthetic activity. Input parameters were derived for two pre-Alpine grassland sites in Germany, for which the model was run using 3 years of data that included a winter with an exceptionally small amount of snow. The model reproduced the temporal variability of observed daily mean heat fluxes, soil temperatures, and snow depth throughout the study period. High physiological activity levels during the extremely warm winter led to a simulated CO2 uptake of 100 gC m−2, which was mainly allocated into the belowground biomass and only to a minor extent used for additional plant growth during early spring. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000117632
Veröffentlicht am 10.03.2020
Originalveröffentlichung
DOI: 10.5194/bg-17-1071-2020
Scopus
Zitationen: 9
Dimensions
Zitationen: 9
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
Publikationsdatum 28.03.2020
Sprache Englisch
Identifikator ISSN: 1726-4189
KITopen-ID: 1000117632
HGF-Programm 12.02.05 (POF III, LK 01) Atmospheric Exchange Processes
Weitere HGF-Programme 12.02.04 (POF III, LK 01) Urban-Rural Interactions
Erschienen in Biogeosciences
Verlag Copernicus Publications
Band 17
Heft 4
Seiten 1071–1085
Projektinformation DFG, DFG EIN, ZE 1006/2-1
Vorab online veröffentlicht am 28.02.2020
Nachgewiesen in Dimensions
Web of Science
Scopus
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