Projects
Ecological and genetic founder events during community assembly of semi-natural grasslands. KU Leuven
Bridging landscape genomics and quantitative genetics for a regional adaptation of European grasslands to climate change Research Institute for Agriculture, Fisheries and Food
This project will deliver fundamental genomic knowledge about the natural biodiversity in European grasslands. Each of these grasslands has, via spontaneous adaptation, adjusted to the geographical and climatological circumstances. Study of the genomic differences that occur is interesting for various reasons. The aim of the GRASSLANDSCAPE project is to apply new knowledge about biodiversity to ...
Data-driven management solutions for carbon sequestration in grasslands KU Leuven
Grasslands cover 20% of Flanders and have the potential to store over 100 tons of carbon per hectare in the soil, making them priority habitats for carbon capture and storage. However, the efficacy of grasslands in mitigating greenhouse gas emissions depends on their context and management. The high costs of carbon monitoring have left it largely unknown how much carbon is stored in grasslands in Flanders, and which grasslands function as a ...
Experimenting learning and raising awareness about species-rich grasslands HOGENT
The influence of nutrient availability on plant production and on above- and belowground diversity across grasslands worldwide. University of Antwerp
The effectiveness of novel genotypes and soil organic matter to protect agricultural grasslands against increasingly persistent weather. University of Antwerp
Computer vision and intelligent mowing patterns to automate biodiversity management in grasslands. Ghent University
Optimal mowing patterns will be developed to restore the biodiversity of plants and pollinators in grasslands. These patterns will take into account grassland characteristics (local scale) and pollinator observation databases (broader scale). This novel strategy is field-data-demanding, requiring automated plant identification. This will be developed by advanced computer vision and AI techniques on visual footage of grasslands captured by ...