Model output of changes in soil carbon storage and emissions for agricultural and forest land uses across the Red Soil region in China
Data comprise soil organic carbon content from a simulation using the ECOSSE model; a pool-based carbon and nitrogen turnover model. Simulations were performed using input data from the Sunjia research farm in southeast China (Jianxi province). Data here is from simulations using the global version of the ECOSSE model, a package which applies the regular model spatially. Input data for the simulations were provided by the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018. Full details about this dataset can be found at
https://doi.org/10.5285/876fa724-c3d3-4091-8de2-8140b7c973eb
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Identification
Data identification
Citation
- Dataset Reference Date ()
- 2020-02-27
- Identifier
- doi: / 10.5285/876fa724-c3d3-4091-8de2-8140b7c973eb
- Other citation details
- Oyesiku-Blakemore, J., Smith, J., Hallett, P. (2020). Model output of changes in soil carbon storage and emissions for agricultural and forest land uses across the Red Soil region in China. NERC Environmental Information Data Centre 10.5285/876fa724-c3d3-4091-8de2-8140b7c973eb
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- no limitations
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- © University of Aberdeen
Legal constraints
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- If you reuse this data, you should cite: Oyesiku-Blakemore, J., Smith, J., Hallett, P. (2020). Model output of changes in soil carbon storage and emissions for agricultural and forest land uses across the Red Soil region in China. NERC Environmental Information Data Centre https://doi.org/10.5285/876fa724-c3d3-4091-8de2-8140b7c973eb
- Spatial representation type
- textTable
- Metadata Language
- English (en)
- Character set
- utf8
- Topic category
-
- Environment
N
S
E
W
Distribution
Distribution
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txt
()
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txt
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Quality
Data quality
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- Quality Scope
- dataset
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Report
Citation
- Dataset Reference Date ()
- 2010-12-08
- Statement
- The data was collected through model simulations. These were performed to understand the response of soil carbon in the red soils of Southeast China to changes in climate. Simulations were carried out by Dr Joseph Oyesiku-Blakemore in the Environmental modelling group at the University of Aberdeen. The work was part of the UK China Critical Zone Observatory project (the Red Soil project within this group of projects), funded by NERC and NSFC.
Ref. system
- Code
- WGS 84
Metadata
Metadata
- File identifier
- 876fa724-c3d3-4091-8de2-8140b7c973eb 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
- 2024-03-05T08:39:17
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
NERC EDS Environmental Information Data Centre
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https://eidc.ac.uk/