Abstract

AbstractIn northern peatlands the thawing of permafrost increasing the active layer depth and changing the hydrology may lead to feedbacks in the climate system through changes in the biogeochemistry of carbon. We are examining this association on theStordalen peatland complex in subarcticSweden by analyzing aDEMderived fromLiDAR‐data and the calculatedTWI. TheDEM, with a spatial resolution of 1 m, and theTWIare evaluated against two seasons of water level measurements from 30 sites in the peatland. TheTWIis calculated with a form‐based flow routing algorithm which produces a natural flow routing pattern. In permafrost wetlands the topography is the major driver and is very important even though its magnitude is low. Site‐specific wetness (SSW) measurements from the sites were compared with the different peatland types that occur in the study area, i.e. fen, internal fen and palsa. The results showed a strong correlation between theTWIand the palsa. TheTWIwas better at describing general patterns than site‐specific hydrology. The evaluation of spatial patterns ofTWIagainst SSW reveal the resolution required to develop the technique to be useful for climate change studies.

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