Simulated winter wheat and maize above-ground dry matter, soil organic matter and soil water, Changwu, China 1983-2015 and future climate scenarios to 2049
The model-generated dataset includes simulated daily dry matter accumulation of above-ground organs (leaves, stems and grains) of winter wheat and maize, soil water content in different soil layers and organic matter stocks in the topsoil and subsoil layers, and final crop dry matter from 1983 to 2004 (wheat) or 2015 (maize). A prediction of the variables under various future climatic scenarios is also included. The SPACSYS model was applied to a historic experimental site on the Loess Plateau in China. Observed crop yields of winter wheat from 1993 to 2004 and maize from 1983 to 2015 were used to validate the model. The validated model was run again under different climate scenarios from 2015 to 2049 to predict daily dry matter accumulation of above-ground organs including leaves, stems and grains, daily soil water content in different layers and soil organic carbon stocks in the topsoil and subsoil layers. Full details about this dataset can be found at
https://doi.org/10.5285/03e74f94-88a5-4f09-b9ea-1447dd3e2b85
Simple
- Date (Publication)
- 2021-08-23
- Identifier
- doi: / 10.5285/03e74f94-88a5-4f09-b9ea-1447dd3e2b85
- Other citation details
- Wu, L., Gongadze, K., Harris, P. (2021). Simulated winter wheat and maize above-ground dry matter, soil organic matter and soil water, Changwu, China 1983-2015 and future climate scenarios to 2049. NERC EDS Environmental Information Data Centre 10.5285/03e74f94-88a5-4f09-b9ea-1447dd3e2b85
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions Other restrictions
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- If you reuse this data, you should cite: Wu, L., Gongadze, K., Harris, P. (2021). Simulated winter wheat and maize above-ground dry matter, soil organic matter and soil water, Changwu, China 1983-2015 and future climate scenarios to 2049. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/03e74f94-88a5-4f09-b9ea-1447dd3e2b85
- Spatial representation type
- textTable Text, table
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
-
- Climatology, meteorology, atmosphere
- Begin date
- 1983-01-01
- End date
- 2015-12-31
N
S
E
W
- Distribution format
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Comma-separated values (CSV)
()
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Comma-separated values (CSV)
()
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Supporting information available to assist in re-use of this dataset
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- dataset Dataset
- Other
- dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- The dataset was generated by simulations with the process-based SPACSYS model. Parameters were calibrated with the published crop dry matter at the site For management in simulations, ploughing before the wheat growing season occurred in September and for maize in April each year. A fertiliser application rate for winter wheat and maize is 20.7g N/m2 and 14.7g N/m2. The form of fertiliser was assumed as urea. Simulation results for the variables are complete.
- File identifier
- 03e74f94-88a5-4f09-b9ea-1447dd3e2b85 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
- 2025-06-03T07:41:38
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
Point of contact
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
https://eidc.ac.uk/
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NERC Data Catalogue Service