High mountains are hotspots of biodiversity, prone to natural hazards and important for downstream water supply. Predicting consequences of environmental change is therefore important, while challenging. A historical perspective and case studies of past hydrological and environmental changes will add to our ability to model these complex systems and anticipate future changes. A critical question in the hydrology and landscape dynamics of high mountains is the role of the vegetation in response to climate change. Lake sediments in mountain areas record past environmental changes often with high temporal resolution, allowing to link observations with reconstructions. Multiproxy analyses of lake sediments provide understanding of the interactions between changes in meteorological conditions and vegetation, erosion, and runoff.
The department of Physical Geography at Utrecht University (DPG-UU) aspires to address knowledge gaps in hydrological and environmental changes in high mountains by combining the expertise of two research lines within DPG-UU. The mountain hydrology group is currently using observational and modeling approaches to study impacts of global climate change on the water budget and Earth surface dynamics in mountain regions. The paleoaeoecology group has currently a strong expertise on all aspects of pollen analysis and quantitative vegetation and climate reconstructions. Furthermore, the department has expertise on developing artificial intelligence solutions to further develop proxy calibration and quantitative reconstructions.
The proposed assistant professor will work at the interface between mountain hydrology, geomorphology and palaeoecology and bridge the gap between observations, modelling and climate reconstructions. Chronology development on decadal to centennial timescales is therefore of special interest. We like to complement our expertise with innovative proxies (sedimentological and/or biological) suitable to address changes and responses in mountain hydrology, geomorphology and ecology from a long-term perspective.
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