Modelled global soil carbon change based on different management and climate scenarios from 2030 to 2100
Cite this dataset as:
Vetter, S.H.; Aitkenhead, M.; Dondini, M.; Eory, V.; Goglio, P.; Harris, J.; Hillier, J.; House, J.; Lefebrve, D.; MacLeod, M.; Manning, D.; Medina-Carmona, C.; Mohamed-Yunus, S.; Moran, D.; Myrgiotis, V.; Payen, F.; Rees, B.; Sohi, S.; Sykes, A.; Williams, M.; Williams, A.; Wollenberg, L.; Smith, P. (2023). Modelled global soil carbon change based on different management and climate scenarios from 2030 to 2100. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8
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This dataset is available under the terms of the Open Government Licence 
https://doi.org/10.5285/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8
The data set shows the modelled change of soil organic carbon under different managements in agriculture for different climate scenarios globally. Dataset includes the change to a business as usual scenario for different soil managements for each decade from 2030 to 2100.
The work was supported by the Natural Environment Research Council (NE/P019455/1)
The work was supported by the Natural Environment Research Council (NE/P019455/1)
Publication date: 2023-12-05
View numbers valid from 05 December 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
text
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Temporal information
Temporal extent
2030-01-01 to 2100-12-31
Provenance & quality
The global data was modelled with the model ECOSSE (Estimating Carbon in Organic Soils – Sequestration and Emissions) with the use of global data sets for soil (harmonised world soil database) and climate (CRU dataset). The business as usual (BAU) scenario was modelled for the crop wheat and conventional tillage practice. The produced data set presents the difference to the BAU scenario by simulating different managements (reduced till, no till, residue incorporation, cover cropping, and manure) and climate scenarios based on the data sets of the Climate Research Unite of University of East Anglia (A1B – a moderate climate change scenario under rapid economic growth but balanced over all sectors, A2 – a worst case climate scenario with regional heterogeneous economic growth) in the years 2050 and 2100.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
Vetter, S.H.; Aitkenhead, M.; Dondini, M.; Eory, V.; Goglio, P.; Harris, J.; Hillier, J.; House, J.; Lefebrve, D.; MacLeod, M.; Manning, D.; Medina-Carmona, C.; Mohamed-Yunus, S.; Moran, D.; Myrgiotis, V.; Payen, F.; Rees, B.; Sohi, S.; Sykes, A.; Williams, M.; Williams, A.; Wollenberg, L.; Smith, P. (2023). Modelled global soil carbon change based on different management and climate scenarios from 2030 to 2100. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8
Correspondence/contact details
Other contacts
Rights holder
University of Aberdeen
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Additional metadata
Keywords
Funding
Natural Environment Research Council Award: NE/P019455/1
Last updated
08 February 2024 17:30