Portrait photo of Johannes Larson

Johannes Larson

Postdoc, Department of Forest Ecology and Management, joint staff
A Postdoc with a particular intrest in the enviornmental drivers of the forest landscapes variation in soil conditions and forest productivity

Research

I study silviculture with a focus on stand and landscape processes. My research interest and experience has mainly focused on the heterogeneity of the boreal landscape with an overarching aim to link both above and below ground responses to environmental factors. In my previous and ongoing work, I have a strong focus on the landscape perspective to improving our understanding of boreal forest ecosystems, which is in my view crucial to enable sustainable forest management and optimizing silvicultural practices.

 

Teaching

I have the privilege of teaching forestry students in Umeå in silviculture and soil science. Since 2022, I have served as the course leader for Forests – Use and Values, which is the first course for the Bachelor's program in forestry.

Puplications

Chi, J., Klosterhalfen, A., Nilsson, M., Laudon, H., Wallerman, J., Larson, J., Lindroth, A., Kljun, N., Fransson, J., Lundmark, T., Peichl, M. (2025). A managed boreal forest landscape in northern Sweden is a persistent net carbon sink despite large inter-annual weather anomalies, Agricultural and Forest Meteorology, Volume 373, 110758,  https://doi.org/10.1016/j.agrformet.2025.110758.

Zignol, F., Lidberg, W., Greiser, C., Larson, J., Hoffrén, R., and Ågren, A. M.: Controls on spatial and temporal variability of soil moisture across a heterogeneous boreal forest landscape, EGUsphere, https://doi.org/10.5194/egusphere-2024-2909, 2024.

Lin, YQ, Lidberg, W., Karlsson, C., Sohlenius, G., Westphal, F., Larson, J., Ågren, A. M. (2024). Mapping soil parent materials in a previously glaciated landscape: Potential for a machine learning approach for detailed nationwide mapping, Geoderma Regional, Volume 40, https://doi.org/10.1016/j.geodrs.2024.e00905 

 
Zhu, X., Berninger, F., Chen, L., Larson, J., Sponseller, R. A., Laudon, H. (2024). Several mechanisms drive the heterogeneity in browning across a boreal stream network. Water Resources Research, Volume 60, e2023WR036802, https://doi.org/10.1029/2023WR036802 

 
Larson, J., Kuglerová, L., Högberg, P., Laudon, H. (2024). Variability in soil carbon-to-nitrogen ratios explained by environmental conditions in a boreal catchment, Forest Ecology and Management, Volume 568, 122108, ISSN 0378-1127, https://doi.org/10.1016/j.foreco.2024.122108

 
Larson, J., Vigren, C., Wallerman, J., Ågren, A., Laudon, H. (2024). Tree growth potential and its relationship with soil moisture conditions across a heterogeneous boreal forest landscape. Scientific Reports, Volume 14, 10611, https://doi.org/10.1038/s41598-024-61098-z  

 
Högberg, P., Lucas, R. W., Högberg, M. N., Skyllberg, U., Egnell, G., Larson, J., Binkley, D. (2024). What happens to trees and soils during five decades of experimental nitrogen loading? Forest Ecology and Management, Volume 553, 121644, https://doi.org/10.1016/j.foreco.2023.121644  
 
Larson, J., Wallerman, J., Peichl, M., Laudon, H. (2023). Soil moisture controls the partitioning of carbon stocks across a managed boreal forest landscape. Scientific Reports, Volume 13, 14909, https://doi.org/10.1038/s41598-023-42091-4 

 
Larson, J., Lidberg, W., Ågren, A., M., Laudon, H. (2022). Predicting soil moisture across a heterogeneous boreal catchment using terrain indices. Hydrology and Earth System Sciences, Volume 26, 4837-4851, https://doi.org/10.5194/hess-26-4837-2022  

 
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, Volume 404, 2021, 115280, ISSN 0016-7061, https://doi.org/10.1016/j.geoderma.2021.115280

 

Doctoral thesis

Larson, J. (2023).  Soil moisture conditions control nutrient accumulation, carbon storage and tree growth in boreal forest landscapes, Swedish University of Agricultural Sciences, 2023:97, https://doi.org/10.54612/a.3s4vldvhv4