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[ID: 430] Improving the evidence-base for understanding and managing brownification of surface waters

PI: Kevin Bishop

Two decades of increasing dissolved organic matter (brownification) in many Swedish waters (1990-2010) has raised concerns about impacts on both drinking water supplies and aquatic ecosystems. Human actions can drive brownification via climate change, forestry and acidification/recovery. Countermeasures to control brownification in the forest landscape are contemplated. Conventional trend analysis methods, however, miss the fact that across much of Sweden, brownification stopped a decade ago. This highlights the need to better understand brownification and improve the evidence base for managing organic matter concentrations in surface waters. One key to this will be re-examining three decades of surface water monitoring data from across the country with non-linear methods supported by data on climate and land use to better resolve the role of different influences in space and time. A complementary approach will follow organic matter solubility at over 100 locations in hydrologically connected catchment source areas (mires, fens and mineral soils) over the same period. Both approaches will be supported by an innovative assessment of the hydrological connectivity of catchment organic matter sources based on new, high resolution mapping products. Stakeholders will be involved in the execution of the study to create a regionally resolved national assessment of the brownification to date and expected developments with and without countermeasures.

BrownificationClimateLand UseCarbon

[ID: 429] Evidence-based Decision Support for Hydrological Ecosystem Services from Wetlands

PI: Kevin Bishop

The capacity of wetlands to moderate extremes of flood and drought is an important rationale for including wetland restoration and construction in major climate adaptation investments being funded by Swedish authorities. This project will make use of our experience in analyzing high-resolution runoff data (e.g. Karlsen et al., 2019) to determine the storage and release characteristics of wetland catchments and define parsimonious modeling strategies to quantify this function in peatlands and wetlands. These models will be used to explore how different types of wetlands will function under future climate conditions in differnet topographic settings. The results of these detailed studies will then be used to improve the representation of wetlands in the landscape scale hydrological modeling system S-Hype.