Input data to model multiple effects of large-scale deployment of grass in crop-rotations at European scale
Responsible organisation
2022 (English)Data set
Sustainable development
Hållbar utveckling
Abstract [en]
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.
Place, publisher, year
2022.
Keywords [en]
Earth and related environmental sciences, Agriculture, climate mitigation, environmental benefits, environmental impacts, Europe, grass, Land-use, perennial crops, soil carbon, spatial modelling
National Category
Earth and Related Environmental Sciences Agricultural Science Environmental Sciences Environmental Engineering Renewable Bioenergy Research Environmental Sciences related to Agriculture and Land-use
Identifiers
URN: urn:nbn:se:miun:diva-46434DOI: 10.5061/dryad.18931zd1mOAI: oai:DiVA.org:miun-46434DiVA, id: diva2:1710968
Funder
Swedish Energy Agency, P48364-12022-11-152022-11-152023-02-23Bibliographically approved