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

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/LCchange.
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. Here 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.