EGU2020-9342, updated on 12 Jun 2020
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Analysis of carbon sequestration sensitivity to recent changes in land use patterns over Belgium using a combination of models and remote sensing techniques

Arpita Verma1, Ingrid Jacquemin2, Louis Francois1, Nicolas Dendoncker3, Veronique Beckers3, Rafiq Hamdi4, Julie Berckmans5, and Eric Hallot6
Arpita Verma et al.
  • 1University of Liege,Department of Astrophysics, Geophysics and Oceanography,Belgium, (
  • 2University of Liege,Department of Environmental Sciences and Management,Belgium
  • 3University of Namur, Department of Geography,Belgium
  • 4Royal Meteorological Institute, Department of Meteorological and Climatological Research, Ukkel, Belgium
  • 5VITO, Boeretang, Belgium
  • 6Scientific Institute of Public Service (ISSeP),Liege,Belgium

Changes in land use/land cover (LU/LC) practices are critical to determine and this is one of the crucial driving forces of terrestrial ecosystem productivity and carbon sink variability. However, relatively few studies have quantified the impact of LU/LC change on the terrestrial carbon cycle. In the present study, we developed a workflow for quantifying and assessing changes in terrestrial carbon stocks due to land use change using a dynamic vegetation model. The main objectives are to assess status and variation in carbon stocks across land covers, towards the quantification of spatial distribution and dynamic variation of terrestrial carbon sinks in response to LU/LC change. Here, with the CARAIB dynamic vegetation model, we perform simulations using several sets of LU/LC data to analyse the sensitivity of the carbon sink. We propose a new method of using satellite – and machine learning-based observation to reconstruct historical LU/LC change and compare it with static data from the cadastral map and dynamic data from an agent-based model coupled with CARAIB. It will quantify the spatial and temporal variability of land use during the 2000-2019 period over Belgium at high resolution. This study will give the space to analyse past information and hence calibrate the dynamic vegetation model to minimize uncertainty in the future projection (until 2035). Overall, this study allows us to understand the effect of changing land use pattern and identify the input dataset which minimizes the uncertainty in model estimation.

How to cite: Verma, A., Jacquemin, I., Francois, L., Dendoncker, N., Beckers, V., Hamdi, R., Berckmans, J., and Hallot, E.: Analysis of carbon sequestration sensitivity to recent changes in land use patterns over Belgium using a combination of models and remote sensing techniques, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9342,, 2020

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