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A wildfire in Sweden in 2014 created the oppertunity to study the effect of wildfire on water chemistry in a managed landscape with a high cover of peatlands. To quantify the effects of wildfire on water quality, and to understand the drivers behind variation in water quality responses to fire, before-after data is needed and catchment needs to be replicated. The burnt area consists of multiple catchments allowing us to investigate local variation in post-fire responses. One of the catchments is included in a national water monitoring network enabling comparison with long-term trends in water chemistry. This before-after approach is complimented by comparing data with nearby long-term monitored catchments. Hence, compared to most studies, our study does not rely on only post-fire data and a few reference sites (see Mast 2013 and Betts and Jones, 2009 for other before-after studies).   The overarching goal of this study is to investigate the short-term (12 months) (2 years)  effects of the 2014 Swedish a boreal  wildfire on stream and lake water chemistry. Downstream data from seven burned watersheds and two reference (unburned) watersheds are presented together with data from ten lakes. In addition, Post-fire data are contrasted with: 1)  pre-fire dataexist  for twoof the  streams in and one lake within  the burned area, making and 2), reference lakes and streams in the surrounding with similar land-use characteristics. Together  this is  a unique opportunity to quantify the impact of the wildfire on water chemistry. chemistry and to test how current trends in water chemistry is altered by a fire.  Furthermore, we want to  explore if catchment characteristics can be is  associated with the post-fire water chemistry. In particular we tested the variables: i) the proportion of severely burned upland, ii) proportion drained peatlands (i.e. treed peatlands), iii) proportion of open (i.e. undrained) peatlands. Overall classification Finally, we use stream flow data to estimate fluvial exports  of burn severity in uplands S  and peatlands are determined by remote sensing techniques. …. To ….