Articles | Volume 8, issue 2
https://doi.org/10.5194/soil-8-733-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-8-733-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| 
07 Dec 2022
Original research article |
| 07 Dec 2022
| 07 Dec 2022
Delineating the distribution of mineral and peat soils at the landscape scale in northern boreal regions
Department of Forest Ecology and Management, Swedish University of
Agricultural Science, Umeå 901 87, Sweden
Eliza Maher Hasselquist
Department of Forest Ecology and Management, Swedish University of
Agricultural Science, Umeå 901 87, Sweden
Johan Stendahl
Department of Soil and Environment, Swedish University of Agricultural
Science, Uppsala 756 51, Sweden
Mats B. Nilsson
Department of Forest Ecology and Management, Swedish University of
Agricultural Science, Umeå 901 87, Sweden
Siddhartho S. Paul
Department of Forest Ecology and Management, Swedish University of
Agricultural Science, Umeå 901 87, Sweden
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Headwaters make up the majority of any given stream network, yet, they are poorly mapped. A solution to this is to model the stream networks from high resolution digital elevation models. Matthews Correlation Coefficient (MCC) for a modelled stream network was 0.463 while the best topographical maps of today, had an MCC of 0.387. A residual analysis showed that 15 % of the errors could be explained by variability in runoff, quaternary deposits, local topography and location.
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S. Osterwalder, J. Fritsche, C. Alewell, M. Schmutz, M. B. Nilsson, G. Jocher, J. Sommar, J. Rinne, and K. Bishop
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A. M. Ågren, W. Lidberg, M. Strömgren, J. Ogilvie, and P. A. Arp
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Related subject area
Soil sensing
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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.
Historically, many peatlands in the boreal region have been drained for timber production. Given...
