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Input data to model multiple effects of large-scale deployment of grass in crop-rotations at European scale

SND-ID: 2024-384.

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Citation

Creator/Principal investigator(s)

Oskar Englund - Mid Sweden University, Institutionen för ekoteknik- och hållbart byggande

Research principal

Mid Sweden University rorId

Description

This is the input dataset to a Python script (https://github.com/oskeng/MF-bio-grass) used to model the effects of widespread deployment of grass in rotations with annual crops to provide biomass while remediating soil organic carbon (SOC) losses and other environmental impacts.

For more information about the dataset and the study, see the original article:

Englund, O., Mola-Yudego, B., Börjesson, P., Cederberg, C., Dimitriou, I., Scarlat, N., Berndes, G. Large-scale deployment of grass in crop rotations as a multifunctional climate mitigation strategy. GCB Bioenergy

Usage Notes:

The data file (Geopackage) can be opened using standard GIS software, preferably GRASS GIS or QGIS (both open source).This dataset is intended as input to a Python script (https://github.com/oskeng/MF-bio-grass) that must be run from within a GRASS GIS session.

... Show more..
This is the input dataset to a Python script (https://github.com/oskeng/MF-bio-grass) used to model the effects of widespread deployment of grass in rotations with annual crops to provide biomass while remediating soil organic carbon (SOC) losses and other environmental impacts.

For more information about the dataset and the study, see the original article:

Englund, O., Mola-Yudego, B., Börjesson, P., Cederberg, C., Dimitriou, I., Scarlat, N., Berndes, G. Large-scale deployment of grass in crop rotations as a multifunctional climate mitigation strategy. GCB Bioenergy

Usage Notes:

The data file (Geopackage) can be opened using standard GIS software, preferably GRASS GIS or QGIS (both open source).This dataset is intended as input to a Python script (https://github.com/oskeng/MF-bio-grass) that must be run from within a GRASS GIS session.

The dataset was originally published in DiVA and moved to SND in 2024. Show less..

Data contains personal data

No

Language

Method and outcome

Data format / data structure

Data collection
Geographic coverage
Administrative information

Funding

  • Funding agency: Energimyndigheten
  • Funding agency's reference number: P48364-1

Identifiers

Topic and keywords

Research area

Earth and related environmental sciences (Standard för svensk indelning av forskningsämnen 2011)

Environmental sciences (Standard för svensk indelning av forskningsämnen 2011)

Environmental engineering (Standard för svensk indelning av forskningsämnen 2011)

Agricultural science (Standard för svensk indelning av forskningsämnen 2011)

Renewable bioenergy research (Standard för svensk indelning av forskningsämnen 2011)

Environmental sciences related to agriculture and land-use (Standard för svensk indelning av forskningsämnen 2011)

Keywords

Earth and related environmental sciences, Agriculture, Climate mitigation, Environmental benefits, Environmental impacts, Europe, Grass, Land-use, Perennial crops, Soil carbon, Spatial modelling

Publications

Englund, O., Mola-Yudego, B., Börjesson, P., Cederberg, C., Dimitriou, I., Scarlat, N., & Berndes, G. (2023). Large-scale deployment of grass in crop rotations as a multifunctional climate mitigation strategy. GCB Bioenergy, 15, 166–184. https://doi.org/10.1111/gcbb.13015
DOI: https://doi.org/10.1111/gcbb.13015

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.