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Input data to model multiple effects of large-scale deployment of grass in crop-rotations at European scale
Mid Sweden University, Faculty of Science, Technology and Media, Department of Ecotechnology and Suistainable Building Engineering.
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, P48364-1Available from: 2022-11-15 Created: 2022-11-15 Last updated: 2023-02-23Bibliographically approved

Open Access in DiVA

data set(486214 kB)158 downloads
File information
File name DATASET01.zipFile size 486214 kBChecksum SHA-512
5ccbc4fa5362c7ed78b74b71659cc01a85aaa2463c25764d8afc467b348731e1dadaf5e3dba4725b7cb33012b591c55d4c6d7b69f11255a4aef08fa5fe53db52
Type datasetMimetype application/zip
software(21 kB)0 downloadsDescription of content
File information
File name SOFTWARE01.zipFile size 21 kBChecksum SHA-512Description Python script to be run within a GRASS GIS session.
aa57d8b09a4214673a1d1deddb78133e5182811de27a60e85c487cbb8dd31cfaf46dc48eb71608e3266273cbdbe637fd7bf2fa7729ea91ef60739cc0f2c9c0eb
Type softwareMimetype application/zip

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Authority records

Englund, Oskar

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Englund, Oskar
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Department of Ecotechnology and Suistainable Building Engineering
Earth and Related Environmental SciencesAgricultural ScienceEnvironmental SciencesEnvironmental EngineeringRenewable Bioenergy ResearchEnvironmental Sciences related to Agriculture and Land-use
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. Global Change Biology Bioenergy, 15(2), 166-184

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf