Remote sensing for mussel conservation

Hydromussel project - Trinity College Dublin, 2020 - ongoing

Development of an approach to use soil moisture detection from remote sensing data to determine how agricultural land use types affect the hydrology of Freshwater pearl mussel catchments in Ireland.


Ecological assessment of entire catchments

Aquacross Project - Eawag, 2017 - 2019

Contribution to further develop a spatially-explicit method to assess the ecological state of freshwater ecosystems at the catchment scale, with the goal to optimize the restoration of Swiss river as required by law. This complex approach builds on diverse environmental variables such as morphological state of river reaches, artificial barriers, physico-chemical parameters and occurrence data from biological sampling. The approach is grounded on decision support theory, while taking into consideration ecological aspects, financial costs and anthropogenic disturbances, in a spatially explicit way


Making SDM’s fit for freshwater ecosystems

DFG funded Ph.D. project - Senckenberg, 2010 - 2014

Pioneering work in using environmental variables specially tailored for stream networks in species distribution models (SDMs), in order to better depict their hierarchical, dendritical structure. This included variables describing climate, topographical properties, the relative proportion of land-use types and indicators of the hydrological regime. The further development of such variables has been ongoing since then, as part of the work of students I co-supervise.