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Modeled nitrogen losses from Swedish arable land with intermediate crops and non-food agricultural biomass management

https://doi.org/10.5878/d03v-kk97
This dataset contains simulation output from agroecosystem models representing three Swedish yield survey districts with contrasting agroecological conditions: 1211 – Trelleborg, 0513 – Mjölby, and 0321 – Enköping. Districts are identified in the dataset by both their ID code (SKO) and the name of the closest major town. The dataset includes estimates of nitrogen losses expressed in kg N ha⁻¹ yr⁻¹ in the forms of nitrate leaching (NO₃), nitrous oxide emissions (N₂O), and ammonia volatilisation (NH₃). Results are provided for multiple management scenarios, including a reference management and scenarios with different combinations of intermediate crop cultivation and harvest of non-food agricultural biomass for anaerobic digestion. Simulations were conducted using the APSIM and DNDC models under multiple weather years (2014–2023) and over four consecutive crop rotation cycles for each location. The data are delivered as a tab-separated text file (.tsv) and can be opened with any text editor, spreadsheet program (e.g. Excel) or statistical software (e.g. R, Python). The file contains 671 rows (including a header row) and 46 columns in total, with six columns describing the simulation context: SKO, Location, Weather_year, Cycle, Rotation_year, and Crop. The remaining 40 columns contain model outputs. Each of these columns corresponds to a unique combination of scenario, model, and nitrogen compound (e.g. S1_APSIM_N2O, S3_DNDC_NO3, etc.). No personal or sensitive data are included.
Download data and documentation (2 files / 179.66 KiB)

Data files

  • N_modelling_simulation.tsv
    173.1 KiB

Documentation files

  • Read_me.tsv
    6.56 KiB

Citation and access

Data access level:

Creator/​Principal investigator(s):

Research principal:

Principal's reference number:

  • SLU.ltv.2026.4.2.IÄ-1

Data contains personal data:

No

Citation:

License:

Language:

Method and outcome

Unit of analysis:

Population:

Arable cropping systems in three Swedish yield-survey districts (1211 Trelleborg, 0513 Mjölby, 0321 Enköping) with contrasting agroecological conditions. The analytic results refer to simulated field-scale crop rotations typical for these districts, under different management scenarios.

Description of study design:

Modelling of nitrogen losses from arable systems using the APSIM and DNDC models

Sampling procedure:

Time period(s) investigated:

Variables:

46

Number of individuals/​objects:

3

Data format/​data structure:

Data collection

Description of the mode of collection:

The data were generated using the process-based simulation model APSIM. Arable cropping systems were simulated based on defined crop rotations, soil characteristics, weather data, and management assumptions. Different management scenarios were modeled to estimate nitrogen losses and other environmental outcomes at the field scale.

Time period(s) for data collection:

2024-07 - 2025-09

Data collector:

Data collection Simulation

Mode of collection:

Simulation

Description of the mode of collection:

The data were generated using the process-based simulation model DNDC. Arable cropping systems were simulated based on defined crop rotations, soil characteristics, weather data, and management assumptions. Different management scenarios were modeled to estimate nitrogen losses and other environmental outcomes at the field scale.

Time period(s) for data collection:

2024-07 - 2025-09

Data collector:

Geographic coverage

Geographic location:

Geographic description:

Three yield survey districts (SKO, in Swedish skördeområde) in Southern Sweden (1211 - Trelleborg, 0513 - Mjölby, and 0321 - Enköping), 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

Responsible department/​unit:

Department of Biosystems and Technology

Contributor(s):

Funding

Funding agency:

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

Standard för svensk indelning av forskningsämnen 2025:

INSPIRE topic categories:

Keywords:

Relations

Is derived from:

Biomass availability from the harvest of crop residues and oilseed radish as an intermediate crop at yield survey district level in SwedenOpens in a new tab

Related research data:

Contact

SLU Arkivarkiv@slu.seOpens in a new tab

Metadata

Version 1
doris
slu
Published: