The theme of my research is to make it easier to avoid unnecessary harm and simplify planning of infrastructure and forestry operations near small streams and wet sensitive soils. Problems with undersized road culverts and the design of buffer zones can be avoided with information about where small streams are located. The combination of my interests in geographical information systems, computers and unlimited access to all Swedish maps enable me to be creative and try new techniques in large scale.
Teaching in soil science and quaternary geology.
One of the biggest issues with water quality in Sweden is that no one knows where it is. Small streams are missing from our maps which makes it difficult to plan any kind of activities around them. This is especially problematic in forestry where heavy machines operate near wet and sensitive soils. My research uses high resolution digital elevation models to model shallow groundwater flow paths and small streams. The outcome is a detailed wet area map that can be used to plan forestry operations. Buffer zones and driving can be planned in order to minimize damage and rutting to sensitive soils.
Lidberg, W., Nilsson, M. & Ågren, A. Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape. Ambio (2019) doi:10.1007/s13280-019-01196-9
E Myrstener, H Biester, C Bigler, W Lidberg, C Meyer-Jacob, J Rydberg, R Bindler. Environmental footprint of small-scale, historical mining and metallurgy in the Swedish boreal forest landscape: The Moshyttan blast furnace as microcosm. The Holocene. Volym 29. pages 578-591. doi: https://doi.org/10.1177/0959683618824741
G Rocher‐Ros Ryan A. Sponseller, W Lidberg , C Mörth, R Giesler. Landscape process domains drive patterns of CO2 evasion from river networks. DOI: https://doi.org/10.1002/lol2.10108
MKlaus D A. Seekell W Lidberg J Karlsson. Evaluations of Climate and Land Management Effects on Lake Carbon Cycling Need to Account for Temporal Variability in CO2 Concentrations. DOI: https://doi.org/10.1029/2018GB005979
Leach J, Lidberg W, Kuglerová L, Kuglerova L, Peralta Tapia A, Ågren A & Laudon H (2017). Evaluating topography-based predictions of shallow lateral groundwater discharge zones for a boreal lake-stream system Water Resources Research, 53 (7), pp.5420-5437. DOI:10.1002/2016WR019804
Lidberg W, Lundmark T, Nilsson M & Ågren A (2017). Evaluating preprocessing methods of digital elevation models for hydrological modelling Hydrological Processes, 31 (26), pp.4660-4668. DOI:10.1002/hyp.11385
Tiwari T, Lidman F, Laudon H, Lidberg W & Ågren A (2017). GIS-based prediction of stream chemistry using landscape composition, wet areas, and hydrological flow pathways Journal of Geophysical Research: Biogeosciences, 122 (1), pp.65-79. DOI:10.1002/2016JG003399
Myrstener E, Lidberg W, Segerström U, Biester H, Damell D & Bindler R (2016). Was Moshyttan the earliest iron blast furnace in Sweden? The sediment record as an archeological toolbox Journal of Archaeological Science: Reports, 5 pp.35-44. DOI:10.1016/j.jasrep.2015.10.040
Ågren A, Lidberg W & Ring E (2015). Mapping Temporal Dynamics in a Forest Stream Network-Implications for Riparian Forest Management Forests, 6 (9), pp.2982-3001. DOI:10.3390/f6092982
Ågren A, Lidberg W, Strömgren M, Ogilvie J & Arp P (2014). Evaluating digital terrain indices for soil wetness mapping - a Swedish case study Hydrology and Earth System Sciences, 18 (9), pp.3623-3634. DOI:10.5194/hess-18-3623-2014