A 50 m spatial representation of probable subsurface drained arable land in central and southern Sweden
https://doi.org/10.5878/veb2-nh54
Throughout increased expansion of farmland in Sweden, drainage have been an important part for land acquisition to keep soil moisture levels sufficient for land accessibility and crop production. Increased magnitude and frequency of extreme weather events such as high precipitation events and hydrological floods have already been seen affecting crop production in recent years. Hence putting pressure on increasing demand for thorough drainage systems.
While data on open ditch- and regional drainage systems is readily available, data on subsurface drainage is scarce. Hence, this dataset presents the first spatial location of estimated tile-drained fields in Southern-central Sweden, based on county-wise statistics at 50*50 m resolution.
This dataset show spatial coverage of probable subsurface drained agricultural area in central to southern Sweden. The dataset is created by combining slope and soil drainage class based on clay content, and the area limited by statistics from 2016 over county wise determined area of subsurface drainage.
The documentation contains:
README: Description of maps and references on which the dataset is based; which files are included and their contents; references to method description and compiled results from the dataset.
SubsurfaceDrainage_Dataset-description_2025-06-23: Describes the purpose of the dataset's origin, method and validation of results.
CountywiseTileDrainArea_Code: R-code used for the creation of the tile drainage maps per county included in this dataset.
Download data and documentation (24 files / 276.36 MiB)
Data files
Data files
- SubDr_EKK_SAM_skiftesdata_2023_Skaraborg.zip46.04 MiB
Documentation files
Documentation files
- SubsurfaceDrainage_Dataset-description_2025-06-23.docx35.3 KiB
- SubsurfaceDrainage_Dataset-description_2025-06-23.pdf353.27 KiB
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
Research principal:
Principal's reference number:
- SLU.mark.2025.4.2.IÄ-13
Data contains personal data:
No
Citation:
Language:
Method and outcome
Method and outcome
Unit of analysis:
Sampling procedure:
Time period(s) investigated:
Variables:
1
Data format/data structure:
Data collection - Other
Data collection - Other
Mode of collection:
Other
Description of the mode of collection:
Data collection has been done from spatial maps of county boundaries (Lantmäteriet, Swedish mapping, cadastral and land registration authority), agricultural blocks (Swedish Board of Agriculture), clay content (Piikki & Söderström, 2019) and elevation data (Swedish mapping, cadastral and land registration authority), as well as quantitative statistics on cover ditching per county (Swedish Board of Agriculture). For complete references, please refer to the documentation SubsurfaceDrainage_Dataset-description_2025-06-23.docx.
Time period(s) for data collection:
2024 - 2024
Data collector:
- Swedish University of Agricultural Sciences
Opens a new window at ror.org.
ROR
Source of the data:
- Research data: Published
- Geographic area
- Research data
Geographic coverage
Geographic coverage
Geographic location:
Geographic description:
A 50 m spatial representation of probable subsurface drained arable land in central and southern Sweden. The dataset covers the counties Blekinge, Dalarna*, Gävleborg, Gotland, Halland,Jönköping, Kalmar, Kronoberg, Örebro, Östergötland, Skåne, Södermanland, Stockholm, Uppsala, Värmland, Västmanland och Västra Götaland.
*Dalarna is included but should be interpreted with caution due to geographically limited data availability for the indata in Dalarna county
Administrative information
Administrative information
Responsible department/unit:
Department of Soil and Environment
Topic and keywords
Topic and keywords
Swedish Standard Classification of Research Subjects 2025:
INSPIRE topic categories:
Relations
Relations
Publications
Publications
Citation:
Valayamkunnath, P., Barlage, M., Chen, F. et al. (2020) Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach. Sci Data 7, 257. https://doi.org/10.1038/s41597-020-00596-x
Citation:
Malmquist, L., & Barron, J. (2023). Improving spatial resolution in soil and drainage data to combine natural and anthropogenic water functions at catchment scale in agricultural landscapes. Agricultural Water Management, 283, 108304. https://doi.org/10.1016/j.agwat.2023.108304
SwePub:
Citation:
Malmquist, L. (2025). Water balance in agricultural catchments amidst climate and land use changes in Sweden. Diss. Swedish University of Agricultural Sciences. https://doi.org/10.54612/a.4u0lm02926
ISBN:
