Hi there! We're the Aquatic Ecosystem Modeling team from the Freshwater Ecology section at Aarhus University, Denmark.
To advance aquatic ecosystem modelling, we integrate model theory (developing novel models and improving existing code), model application (running models on study sites for scenario analysis), and data science/software development (developing scientific software, including R package development, for quality assurance and data processing) into our research. Traditionally, our focus is on vertical one-dimensional process-based modeling of aquatic ecosystems by coupling hydrodynamic with water quality models. These coupled models are powerful tools to explore long-term ecosystem dynamics under various stressors such as climate change or eutrophication, and to quantify the causality between abiotic and biotic events across different time scales.
Here is an overview of our current projects:
🔮 Knowledge-Guided Machine Learning: developing a modular compositional learning framework to integrate deep learning into a vertical, one-dimensional process-based model for simulating ecosystem dynamics
🌎 Deductive Metabolism Modeling: upscaling a spatiotemporal metabolism model to couple gross primary production with carbon sequestration across spatio-temporal scales
👥 LakeEnsemblR-Water Quality: building a software framework to faciliate setting up, running and post-processing an ensemble of aquatic ecosystem models for structural model-intercomparison
