Estimated soil carbon inputs and modeling results for Swedish arable land under rotation in areas approved for environmental compensation
https://doi.org/10.5878/rsvb-cb29
This data set results from researching the effects of removing crop residues and cultivating intermediate crops (IC) on long-term soil organic carbon (SOC) in Swedish arable land areas approved for environmental compensation. Thus, it contains data considering five different scenarios: S1, a base scenario with no residue removal nor IC cultivation; S2, an alternative scenario with IC cultivation; S3, an alternative scenario where crop residues are harvested for biogas production with the return of digestate as soil amendment; S4, an alternative scenario with IC cultivation and harvest of crop residues for biogas production; and S5, an alternative scenario with IC cultivation and where both crop residues and IC biomass are harvested for biogas production.
Estimations of SOC inputs are based on estimated biomass availability for each yield survey district (SKO) from the previously published dataset (Barrios Latorre, S. A. (2024), information collected from the statistics database of the Swedish Board of Agriculture (Jordburksverket), and Statistics Sweden (SCB, 2023). It considered all the Swedish SKOs where removing residues and cultivating intermediate crops is technically possible. The geospatial data containing the boundaries of the SKOs can be requested from Jordbruksverket or accessed directly from the previous dataset (https://doi.org/10.5878/t9ey-ac36).
Estimations of SOC inputs are differentiated by source: aboveground biomass (AGB), belowground biomass (BGB), and organic amendments (OA). Furthermore, the total SOC at steady state (Css) for each scenario was estimated using the Introductory Carbon Balance Model (ICBM) (Menichetti et al., 2024).
The file contains 85 rows (SKOs) and 34 columns.
References
Barrios Latorre, S. A. (2024). Biomass availability from the harvest of crop residues and oilseed radish as an intermediate crop at yield survey district level in Sweden (Version 1) [Data set]. Swedish University of Agricultural Sciences. Available at: https://doi.org/10.5878/t9ey-ac36
Menichetti, L., Kätterer, T., & Bolinder, M. A. (2024). Bayesian calibration of the ICBM/3 soil organic carbon model constrained by data from long-term experiments and uncertainties of C inputs. Carbon Management, 15(1), 2304749. https://doi.org/10.1080/17583004.2024.2304749
SCB. (2023). Gödselmedel i jordbruket 2021/22. Mineral- och stallgödsel till olika grödor samt hantering och lagring av stallgödsel (MI 30 SM 2302; Miljövård).
Documentation files
Documentation files
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
Research principal:
Principal's reference number:
- SLU.ltv.2024.4.4.IÄ-12
Data contains personal data:
No
Citation:
Language:
Method and outcome
Method and outcome
Unit of analysis:
Population:
Swedish yield survey districts (SKO)
Description of study design:
Modeling exercise using the ICBM/3 for estimating long-term soil organic carbon stocks
Sampling procedure:
Time period(s) investigated:
Variables:
33
Number of individuals/objects:
84
Data format/data structure:
Data collection - Registry extract and/or access to biobank sample
Data collection - Registry extract and/or access to biobank sample
Mode of collection:
Registry extract and/or access to biobank sample
Description of the mode of collection:
Data extraction of soil organic carbon contribution from agricultural biomass, with transformation into aboveground, belowground, and organic amendment inputs (Barrios Latorre, S. A. (2024). Biomass availability from the harvest of crop residues and oilseed radish as an intermediate crop at yield survey district level in Sweden (Version 1) [Data set]. Swedish University of Agricultural Sciences. Available at: https://doi.org/10.5878/t9ey-ac36).
Time period(s) for data collection:
2023-11 - 2023-11
Data collector:
- Swedish University of Agricultural Sciences
Opens a new window at ror.org.
ROR
Source of the data:
- Research data: Published
- Research data
Temporal resolution:
5 year
Data collection - Simulation
Data collection - Simulation
Mode of collection:
Simulation
Description of the mode of collection:
Modeling of long-term carbon stocks at steady state using the Introductory Carbon Balance Model (ICBM/3), using regional parameters for edaphoclimatic factors, and specific humification coefficients for aboveground biomass, belowground biomass, and organic amendments.
Time period(s) for data collection:
2023-12 - 2024-04
Geographic coverage
Geographic coverage
Geographic location:
Geographic description:
The geographical scope of this analysis comprehends 84 yield survey districts (SKO, in Swedish skördeområde) in Southern Sweden, where intermediate crops can be grown with satisfactory yields, according to the areas approved by the Swedish Board of Agriculture for environmental compensation. The SKOs are the most detailed geographical units used by Statistics Sweden (SCB) and the Swedish Board of Agriculture (Jordbruksverket) for reporting agricultural statistics.
Administrative information
Administrative information
Responsible department/unit:
Department of Biosystems and Technology
Contributor(s):
Funding
Funding
Funding agency:
- Swedish Research Council for Environment Agricultural Sciences and Spatial Planning
Opens a new window at ror.org.
ROR
Award number:
2021-01090
Award title:
Removing agricultural residues as feedstock for the growing bioeconomy – efficiency of intermediate crops to minimize negative environmental consequences
Topic and keywords
Topic and keywords
Swedish Standard Classification of Research Subjects 2025:
INSPIRE topic categories:
Relations
Relations
Is derived from:
Is derived from:
Related research data:
Publications
Publications
Citation:
Barrios Latorre, S. A., Björnsson, L., & Prade, T. (2024). Managing Soil Carbon Sequestration : Assessing the Effects of Intermediate Crops, Crop Residue Removal, and Digestate Application on Swedish Arable Land. In GCB Bioenergy, 16 (12), e70010. https://doi.org/10.1111/gcbb.70010
DOI:
Metadata
Metadata
Version 1
