Evidence-based Decision Support for Hydrological Ecosystem Services from Wetlands (EviWet)

Last changed: 03 June 2024
Mire with forest in the background. Photo.

One rationale to construct and restore wetlands is to reduce the risk of droughts and floods. To be able place the wetlands at optimal sites in the landscape to fulfill this goal more knowledge is needed about the storage of water in the wetlands.

In the EviWet project high-frequency  measurements of the water balance (evaporation and transpiration) in different types of wetlands are being compared with those from forests. The purpose is to get a better understanding of how wetlands influence the storage and release of water from landscapes. The analyses will be used to improve the hydrological modelling of wetlands used in decision support.

The project was led by Kevin Bishop from the Department of Aquatic Sciences and Assessment. Post-Doc Reinert Huseby Karlsen also worked on the project at SLU. Niclas Hjerdt was leading participate the half of the project based at SMHI, while Uppsala University and the University of Zurich were also involved.

SMHI was responsible for the official website of EviWet, and development of the decision support functions based on S-Hype, YtSim.

Facts:

  • The project was financed by the Swedish Environmental Protection Agency. 
  • The project was running during 2020-2023.