Articles | Volume 8, issue 2
Original research article
07 Dec 2022
Original research article |  | 07 Dec 2022

Delineating the distribution of mineral and peat soils at the landscape scale in northern boreal regions

Anneli M. Ågren, Eliza Maher Hasselquist, Johan Stendahl, Mats B. Nilsson, and Siddhartho S. Paul

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Predicting rut depth with soil moisture estimates from ERA5-Land and in-situ measurements
Marian Schönauer, Anneli M. Ågren, Klaus Katzensteiner, Florian Hartsch, Paul Arp, Simon Drollinger, and Dirk Jaeger
EGUsphere,,, 2023
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Predicting soil moisture conditions across a heterogeneous boreal catchment using terrain indices
Johannes Larson, William Lidberg, Anneli M. Ågren, and Hjalmar Laudon
Hydrol. Earth Syst. Sci., 26, 4837–4851,,, 2022
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The importance of better mapping of stream networks using high resolution digital elevation models – upscaling from watershed scale to regional and national scales
Anneli M. Ågren and William Lidberg
Hydrol. Earth Syst. Sci. Discuss.,,, 2019
Publication in HESS not foreseen
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Evaluating digital terrain indices for soil wetness mapping – a Swedish case study
A. M. Ågren, W. Lidberg, M. Strömgren, J. Ogilvie, and P. A. Arp
Hydrol. Earth Syst. Sci., 18, 3623–3634,,, 2014
Can the heterogeneity in stream dissolved organic carbon be explained by contributing landscape elements?
A. M. Ågren, I. Buffam, D. M. Cooper, T. Tiwari, C. D. Evans, and H. Laudon
Biogeosciences, 11, 1199–1213,,, 2014

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Soil sensing
Best performances of visible–near-infrared models in soils with little carbonate – a field study in Switzerland
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The effect of soil moisture content and soil texture on fast in situ pH measurements with two types of robust ion-selective electrodes
Sebastian Vogel, Katja Emmerich, Ingmar Schröter, Eric Bönecke, Wolfgang Schwanghart, Jörg Rühlmann, Eckart Kramer, and Robin Gebbers
EGUsphere,,, 2023
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Improving models to predict holocellulose and Klason lignin contents for peat soil organic matter with mid-infrared spectra
Henning Teickner and Klaus-Holger Knorr
SOIL, 8, 699–715,,, 2022
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Cited articles

Ågren, A. M., Larson, J., Paul, S. S., Laudon, H., and Lidberg, W.: 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,, 2021. 
Arrouays, D., Grundy, M. G., Hartemink, A. E., Hempel, J. W., Heuvelink, G. B. M., Hong, S. Y., Lagacherie, P., Lelyk, G., McBratney, A. B., McKenzie, N. J., Mendonca-Santos, M. d. L., Minasny, B., Montanarella, L., Odeh, I. O. A., Sanchez, P. A., Thompson, J. A., and Zhang, G.-L.: Chapter Three – GlobalSoilMap: Toward a Fine-Resolution Global Grid of Soil Properties, in: Advances in Agronomy, edited by: Sparks, D. L., Academic Press, 93–134,, 2014. 
Astrup, R., Bernier, P. Y., Genet, H., Lutz, D. A., and Bright, R. M.: A sensible climate solution for the boreal forest, Nat. Clim. Change, 8, 11–12,, 2018. 
Barthelmes, A., Couwenberg, J., Risager, M., Tegetmeyer, C., and Joosten, H.: Peatlands and Climate in a Ramsar Context: A Nordic-Baltic Perspective, Nordic Council of Ministers, ISBN 978-92-893-4196-7, 2015. 
Beaulne, J., Garneau, M., Magnan, G., and Boucher, E.: Peat deposits store more carbon than trees in forested peatlands of the boreal biome, Sci. Rep.-UK, 11, 2657, 2021. 
Short summary
Historically, many peatlands in the boreal region have been drained for timber production. Given the prospects of a drier future due to climate change, wetland restorations are now increasing. Better maps hold the key to insights into restoration targets and land-use management policies, and maps are often the number one decision-support tool. We use an AI-developed soil moisture map based on laser scanning data to illustrate how the mapping of peatlands can be improved across an entire nation.