Date (Publication)

2023-12-05

Identifier

https://catalogue.ceh.ac.uk/id/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8

Identifier

doi: / 10.5285/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8

Other citation details

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 10.5285/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8

GEMET - INSPIRE themes, version 1.0

• Soil

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otherRestrictions Other restrictions

Other constraints

no limitations

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otherRestrictions Other restrictions

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This resource is available under the terms of the Open Government Licence

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otherRestrictions Other restrictions

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If you reuse this data, you should cite: 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

Spatial representation type

textTable Text, table

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Environment

Begin date

2030-01-01

End date

2100-12-31

Unique resource identifier

WGS 84

Distribution format

• text ()

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dataset Dataset

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dataset

Statement

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.

File identifier

fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8 XML

Metadata language

EnglishEnglish

Character set

ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1

Hierarchy level

dataset Dataset

Hierarchy level name

dataset

Date stamp

2025-03-21T10:50:10

Metadata standard name

UK GEMINI

Metadata standard version

2.3