Model outputs for simulation of soil organic carbon changes on a Red Soil agricultural site in China using integrated Hydrus 1-D hydrology
https://doi.org/10.5285/f8955c65-0103-4a26-9078-f34ec6a28676
Cite this dataset as:
Oyesiku-Blakemore, J.; Verrot, L.; Smith, J.; Hallett, P. (2020). Model outputs for simulation of soil organic carbon changes on a Red Soil agricultural site in China using integrated Hydrus 1-D hydrology. NERC Environmental Information Data Centre. https://doi.org/10.5285/f8955c65-0103-4a26-9078-f34ec6a28676
Download/Access
PLEASE NOTE:
By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
© Aberdeen University
This dataset is available under the terms of the Open Government Licence 
Data comprise soil organic carbon (SOC) content from soil simulations in a small agricultural catchment (Sunjia) which is part of the Critical Zone Observatory (CZO) in southeast China (Jianxi province).
The simulations were performed using the ECOSSE model (a pool-based carbon and nitrogen turnover model) and soil and climate input data were provided by the research farm at the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018.
The simulations were performed using the ECOSSE model (a pool-based carbon and nitrogen turnover model) and soil and climate input data were provided by the research farm at the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018.
Publication date: 2020-03-02
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Temporal information
Temporal extent
2018-01-01 to 2018-12-31
Provenance & quality
The data was collected through model simulations. These were performed to understand the response of soil carbon models to the different methods of simulating hydrology dynamics in soil. The simulations use two different hydrological representations; one a simple piston flow and one the HYDRUS model. The simulations using the HYUDRS (1-D) model read in soil moisture values from files created from simulations of soil moisture using the HYDRUS model.
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.
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.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
Oyesiku-Blakemore, J.; Verrot, L.; Smith, J.; Hallett, P. (2020). Model outputs for simulation of soil organic carbon changes on a Red Soil agricultural site in China using integrated Hydrus 1-D hydrology. NERC Environmental Information Data Centre. https://doi.org/10.5285/f8955c65-0103-4a26-9078-f34ec6a28676
© Aberdeen University
Correspondence/contact details
Other contacts
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk