The work in the last reporting period developed in three distinct work packages, focussing on the simulation of plant growth under nutrient constraints (WP1), modelling and observations on soil-vegetation interactions (WP2), and integration of these aspects into global scale modelling (WP3).
The research in WP1, focussing on the simulation of plant growth under nutrient constraints developed in two distinct lines: The first line looked at modelling plant growth decisions from the point of view of resource economics (Caldararu et al. 2020, New Phytologist), whereas the second line investigated the effect of different nutrient acquisition strategies on the carbon economy of plant growth (Kern, PhD-thesis, TU Munich). This is different to the common approach employed in dynamic global vegetation models that typically rely on heuristic formulation of plant growth processes. The QUINCY prototype mode allows for the dynamic simulation of the seasonality and long-term growth patterns in deciduous or evergreen forests, as well as grasslands in response to different nutrient availability along a climate gradient from boreal to tropical ecosystems, which have been evaluated against a range of data sources including eddy-covariance data, inventory-based data, satellite data, and isotopic records for a range of global biomes (Thum et al. 2019, Biogeosciences). Using this model, we have investigated regional trends in increased nutrient stress by vegetation recorded in 15N observations (Caldararu et al. 2021, Global Change Biology).
As part of WP2, which focuses on soil-vegetation interactions, QUINCY has implemented and tested a next-generation soil biogeochemical model, which accounts for the role of plant-soil microbiota interaction in the decay and formation of plant litter and soil organic matter and integrates nitrogen and phosphorus dynamics (Yu et al, 2019, GMD, Yu et al. 2020, Frontiers). QUINCY also performs an experiment to study the effect of elevated carbon dioxide on plant allocation, soil organic matter decomposition, and nitrogen uptake using an innovative dual stable-isotope labelling approach (Eder, PhD-thesis, ongoing). The experimental set-up involves 16 mesocosms containing 64 beech trees in a natural forest soil. Trees were exposed to ambient and elevated (+200 ppm) carbon dioxide levels with different levels of soil fertility years to probe the effect of nutrient availability on the CO2 response. The experiment demonstrates that elevated CO2 has increased gross photosynthesis in accordance with expectations, but net biomass growth was not as strongly enhanced. Belowground allocation and microbial activity were enhanced and soil respiration did increase, associated with an observable decline in soil carbon.
WP 3 aims to integrate the research of WP 1 and WP2 with the global modelling framework of the ICON land surface model. This model has been successfully ported to run on the host institutions HPC cluster, and the QUINCY code has been designed to smoothly interface with this code. A prototype global scale application of the model exists and will be available for global analysis in few months.