Description
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.,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.,
Copyright and Open Data Licencing
OGL
Date made available | 1 Jan 2020 |
---|---|
Publisher | Natural Environment Research Council |
Geographical coverage | Sunji in southeast China (Jianxi province) |
Funder and Grant Reference number
- Natural Environment Research Council (NERC)
- Award: NE/N007611/1
Datasets
-
Model output for soil carbon and nitrogen turnover in agricultural sites in the Red Soil region of China
Oyesiku-Blakemore, J. (Contributor), Smith, J. (Contributor) & Hallett, P. (Contributor), Natural Environment Research Council, 1 Jan 2020
DOI: 10.5285/2ce71612-df48-40f2-9402-03d93104c623, https://doi.org/10.5285%2F2ce71612-df48-40f2-9402-03d93104c623
Dataset