In my PhD-project I study availability of groundwater and how it affects soil organic carbon, nutrient accumulation and tree growth.
By using a high density tree and soil survey in relation to high resolution hydrological maps, I try to understand the spatial variation of soil properties and forest growth. All my reseach is conducted within the Krycklan Catchment.
Further understanding of how hydrology controls the spatial variation of soil properties and forest growth can be used to locate areas of with high potential of forest growth and carbon sequestration. My reseach also tries to further the understanding of the commonly observed production gradients along slopes in Boreal landscapes, moving from recharge to discharge areas.
Larson, J., Lidberg, W., Ågren, A. M., and Laudon, H.: Predicting soil moisture conditions across a heterogeneous boreal catchment using terrain indices, Hydrol. Earth Syst. Sci., 26, 4837–4851, https://doi.org/10.5194/hess-26-4837-2022, 2022.
Ågren, A.M., Larson, J., Paul, S.S., Laudon, H. & Lidberg, W. (2021). Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape. Geoderma, 404, 115280. https://doi.org/10.1016/j.geoderma.2021.115280
My study site: The Krycklan Catchment