Modelled global soil carbon change based on different management and climate scenarios from 2030 to 2100
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2023-12-05
- 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 ()
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- Soil
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- 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
- Topic category
-
- Environment
- Begin date
- 2030-01-01
- End date
- 2100-12-31
- Code
- WGS 84
Distribution Information
- Data format
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-
text
()
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text
()
- Resource Locator
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Supporting information
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Supporting information
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- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- 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.
Metadata
- File identifier
- fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8 XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2024-02-08T17:30:09
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3