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Journal Articles

Wintertime grassland dynamics may influence belowground biomass under climate change; A Model analysis

Katata, Genki*; Grote, R.*; Mauder, M.*; Zeeman, M. J.*; Ota, Masakazu

Biogeosciences, 17(4), p.1071 - 1085, 2020/02

 Times Cited Count:8 Percentile:48.98(Ecology)

Mountain grassland productivity is limited by cold and long winters; thus, rising temperatures and changes in snow cover expected in the future may have large impacts on the grassland yields. To investigate this, we enhanced land surface model (SOLVEG) to account for snow, freeze-thaw events, and grass growth, and the model was applied to the managed grasslands affected by extremely warm winter. The model reproduced temporal variability of observed heat fluxes, soil temperatures and snow depth throughout the 3-year simulation period. High physiological activity during the extremely warm winter led to a CO$$_{2}$$ uptake of 100 g-C m$$^{-2}$$, which was, surprisingly, mainly allocated into the below-ground biomass and rarely used for plant growth during spring. This process, which is so far largely unaccounted for in global terrestrial biosphere models, may lead to carbon accumulation in the soil and/or heterotrophic respiration as a response to global warming.

Journal Articles

Montane ecosystem productivity responds more to global circulation patterns than climatic trends

Desai, A. R.*; Wohlfahrt, G.*; Zeeman, M. J.*; Katata, Genki; Eugster, W.*; Montagnani, L.*; Gianelle, D.*; Mauder, M.*; Schmid, H. P.*

Environmental Research Letters, 11(2), p.024013_1 - 024013_9, 2016/02

AA2015-0882.pdf:2.25MB

 Times Cited Count:21 Percentile:58(Environmental Sciences)

Regional ecosystem productivity is highly sensitive to inter-annual climate variability, both within and outside the primary carbon uptake period. However, Earth system models lack sufficient spatial scales and ecosystem processes to resolve how these processes may change in a warming climate. Here, we show, how for the European Alps, mid-latitude Atlantic ocean winter circulation anomalies drive high-altitude summer forest and grassland productivity, through feedbacks among orographic wind circulation patterns, snowfall, winter and spring temperatures, and vegetation activity. Therefore, to understand future global climate change influence to regional ecosystem productivity, Earth systems models need to focus on improvements towards topographic downscaling of changes in regional atmospheric circulation patterns and to lagged responses in vegetation dynamics to non-growing season climate anomalies.

Oral presentation

Process-based modeling for mountain pasture dynamics in unusual warm and long snow-free wintertime

Katata, Genki; Grote, R.*; Zeeman, M. J.*; Mauder, M.*; Ota, Masakazu; Lu, H.*; Kiese, R.*

no journal, , 

We coupled a multi-layer atmosphere-SOiL-VEGetation model (SOLVEG) with a detail snow scheme and grass growth scheme to investigate snow-free grassland dynamics. We applied the modified SOLVEG to pre-alpine grassland sites in Germany for a year with an exceptional small amount of snowfall. The modified model reproduced temporal changes in observations of surface energy and CO$$_{2}$$ fluxes, soil temperature and moisture, and aboveground biomass. Our simulations and measurements demonstrate that grasses at lower elevation are not dormant and continuously assimilate atmospheric CO$$_{2}$$ even in the middle of winter season. On the other hand, dead leaf biomass increases due to frosts over cold snow-free days. As a result, snow-free wintertime carbon uptake almost balanced with wintertime soil respiration. However, under temperature rise conditions, grass ecosystems act as a strong sink of CO$$_{2}$$ from winter to early spring due to a decrease of frost damages of foliage.

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