Identification

Title

Model outputs for simulation of soil organic carbon changes on a Red Soil agricultural site in China using integrated Hydrus 1-D hydrology

Abstract

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. Full details about this dataset can be found at https://doi.org/10.5285/f8955c65-0103-4a26-9078-f34ec6a28676

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/f8955c65-0103-4a26-9078-f34ec6a28676

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/f8955c65-0103-4a26-9078-f34ec6a28676.zip

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/f8955c65-0103-4a26-9078-f34ec6a28676

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

Keywords

Geographic location

West bounding longitude

117

East bounding longitude

116

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

2018-01-01

End position

2018-12-31

Dataset reference date

date type

publication

effective date

2020-03-02

Frequency of update

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: 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

Responsible organisations

Metadata on metadata

Metadata point of contact

organisation name

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

email address

info@eidc.ac.uk

web address

https://eidc.ac.uk/

description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.

function: information

responsible party role

pointOfContact

Metadata date

2025-03-21T10:50:45

Metadata language

eng