MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY (DE)
Living Planet Fellowship research project carried out by Sophia Walther.
Variations of water availability drive plant growth and vegetation carbon uptake from the atmosphere. At present, this induces substantial fluctuations in the global carbon balance and in year-to-year accumulation of atmospheric carbon. Under climate change, water stress is likely to be amplified by more frequent and intense droughts.
The integration of global land surface remote sensing and in-situ measured ecosystem carbon fluxes through machine learning offers a unique data-driven perspective to diagnose the carbon cycle response to climate change. However, current approaches like `FLUXCOM’ cannot capture drought effects reliably which strongly limits our capability of assessing interactions between global change and biogeochemical cycles.
This limitation is due to insufficient information in the traditionally used Earth observation data on (a) the moisture status, and (b) the individual and highly complex responses of ecosystems to dryness. The adequate representation of these two aspects are key challenges that have been hampering breakthroughs in our ability to model and monitor the biosphere with data-driven and process-based approaches.
The above limitations will be tackled by integrating data streams of the sun-induced chlorophyll fluorescence, land surface temperature and vegetation optical depth into data-driven flux models for a better diagnosis vegetative stress reactions as well as completementary information on soil moisture.
Technical note: Flagging inconsistencies in flux tower data
Biogeosciences (2024)
EGUsphere (2024)
NEE estimates 2006–2019 over Europe from a pre-operational ensemble-inversion system
Atmospheric Chemistry and Physics (2022)
Technical note: A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset
Biogeosciences (2022)
Contrasting drought legacy effects on gross primary productivity in a mixed versus pure beech forest
Biogeosciences (2022)
Environmental Research Letters (2022)
Sci Data (2022)
Environment-sensitivity functions for gross primary productivity in light use efficiency models
Agricultural and Forest Meteorology (2021)
Revisiting Global Vegetation Controls Using Multi-Layer Soil Moisture
Geophysical Research Letters (2021)
