Articles | Volume 26, issue 19
https://doi.org/10.5194/hess-26-4837-2022
© 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/hess-26-4837-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
05 Oct 2022
Research article | Highlight paper |
| 05 Oct 2022
| 05 Oct 2022
Predicting soil moisture conditions across a heterogeneous boreal catchment using terrain indices
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, Umeå, 901 83, Sweden
William Lidberg
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, Umeå, 901 83, Sweden
Anneli M. Ågren
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, Umeå, 901 83, Sweden
Hjalmar Laudon
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, Umeå, 901 83, Sweden
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Total article views: 2,930 (including HTML, PDF, and XML)
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Cited
15 citations as recorded by crossref.
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- Spatio-temporal dynamics and controls of forest-floor evapotranspiration across a managed boreal forest landscape Z. Guo et al. 10.1016/j.agrformet.2024.110316
- Divergent apparent temperature sensitivity of forest-floor respiration across a managed boreal forest landscape Z. Guo et al. 10.1016/j.scitotenv.2024.176950
- Variability in soil carbon-to-nitrogen ratios explained by environmental conditions in a boreal catchment J. Larson et al. 10.1016/j.foreco.2024.122108
- Soil moisture modeling with ERA5-Land retrievals, topographic indices, and in situ measurements and its use for predicting ruts M. Schönauer et al. 10.5194/hess-28-2617-2024
- Physics-informed machine learning for understanding rock moisture dynamics in a sandstone cave K. Ouyang et al. 10.5194/hess-27-2579-2023
- Tree growth potential and its relationship with soil moisture conditions across a heterogeneous boreal forest landscape J. Larson et al. 10.1038/s41598-024-61098-z
- Catchment characteristics control boreal mire nutrient regime and vegetation patterns over ~5000 years of landscape development B. Ehnvall et al. 10.1016/j.scitotenv.2023.165132
- Mapping soil parent materials in a previously glaciated landscape: Potential for a machine learning approach for detailed nationwide mapping Y. Lin et al. 10.1016/j.geodrs.2024.e00905
- Soil moisture controls the partitioning of carbon stocks across a managed boreal forest landscape J. Larson et al. 10.1038/s41598-023-42091-4
- Water Retention Characteristics of Mineral Forest Soils in Finland: Impacts for Modeling Soil Moisture S. Launiainen et al. 10.3390/f13111797
- Estimating Soil Strength Using GIS-Based Maps - A case study in Sweden S. MOHTASHAMİ et al. 10.33904/ejfe.1321075
- Automated analysis of snowmelt from Sentinel-2 imagery to determine variable rate irrigation zones in the American Mountain West I. Turner et al. 10.1080/10106049.2023.2230939
- Predicting soil moisture conditions across a heterogeneous boreal catchment using terrain indices J. Larson et al. 10.5194/hess-26-4837-2022
14 citations as recorded by crossref.
- Spatial modeling for detection of water retention capacity in technosols developed on carboniferous spoil heap after hard coal mining P. Singh et al. 10.1016/j.ecoinf.2024.102751
- Soil thickness influences the control effect of micro-topography on subsurface runoff generation in the karst hillslope critical zone J. Zhang et al. 10.1016/j.catena.2024.107957
- Spatio-temporal dynamics and controls of forest-floor evapotranspiration across a managed boreal forest landscape Z. Guo et al. 10.1016/j.agrformet.2024.110316
- Divergent apparent temperature sensitivity of forest-floor respiration across a managed boreal forest landscape Z. Guo et al. 10.1016/j.scitotenv.2024.176950
- Variability in soil carbon-to-nitrogen ratios explained by environmental conditions in a boreal catchment J. Larson et al. 10.1016/j.foreco.2024.122108
- Soil moisture modeling with ERA5-Land retrievals, topographic indices, and in situ measurements and its use for predicting ruts M. Schönauer et al. 10.5194/hess-28-2617-2024
- Physics-informed machine learning for understanding rock moisture dynamics in a sandstone cave K. Ouyang et al. 10.5194/hess-27-2579-2023
- Tree growth potential and its relationship with soil moisture conditions across a heterogeneous boreal forest landscape J. Larson et al. 10.1038/s41598-024-61098-z
- Catchment characteristics control boreal mire nutrient regime and vegetation patterns over ~5000 years of landscape development B. Ehnvall et al. 10.1016/j.scitotenv.2023.165132
- Mapping soil parent materials in a previously glaciated landscape: Potential for a machine learning approach for detailed nationwide mapping Y. Lin et al. 10.1016/j.geodrs.2024.e00905
- Soil moisture controls the partitioning of carbon stocks across a managed boreal forest landscape J. Larson et al. 10.1038/s41598-023-42091-4
- Water Retention Characteristics of Mineral Forest Soils in Finland: Impacts for Modeling Soil Moisture S. Launiainen et al. 10.3390/f13111797
- Estimating Soil Strength Using GIS-Based Maps - A case study in Sweden S. MOHTASHAMİ et al. 10.33904/ejfe.1321075
- Automated analysis of snowmelt from Sentinel-2 imagery to determine variable rate irrigation zones in the American Mountain West I. Turner et al. 10.1080/10106049.2023.2230939
1 citations as recorded by crossref.
Latest update: 30 Jan 2025
Executive editor
I recommend this paper for highlight. In the words of the authors: "No previous study has been able to provide such detailed data [of soil moisture] at catchment scale, amount of terrain indices in combination with an extensive field survey which clearly demonstrates the importance of selection of terrain index, DEM resolution and index-specific threshold.
I recommend this paper for highlight. In the words of the authors: "No previous study has been...
Short summary
Terrain indices constitute a good candidate for modelling the spatial variation of soil moisture conditions in many landscapes. In this study, we evaluate nine terrain indices on varying DEM resolution and user-defined thresholds with validation using an extensive field soil moisture class inventory. We demonstrate the importance of field validation for selecting the appropriate DEM resolution and user-defined thresholds and that failing to do so can result in ambiguous and incorrect results.
Terrain indices constitute a good candidate for modelling the spatial variation of soil moisture...
