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
bibliographic citation: 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
description: 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.
provenance: ProvenanceStatement
  label: 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.
spatial: Location
temporal: PeriodOfTime
  start date: 1983-01-01
  end date: 2015-12-31
contact point: Wu, L.
publisher: 04xw4m193
subject: Loess Plateau
subject: critical zone
subject: soil organic matter
subject: soil water water dynamics
subject: model
subject: http://www.eionet.europa.eu/gemet/concept/7902
subject: http://www.eionet.europa.eu/gemet/concept/7843
was generated by: grant ef2342851459d677
type: Dataset
available: 2021-08-23
landing page: https://doi.org/10.5285/03e74f94-88a5-4f09-b9ea-1447dd3e2b85
license: OGL-UK-3.0.ttl
access rights: UNRS
creator: Wu, L.
creator: Gongadze, K.
creator: Harris, P.
language: en

Wu, L.
type: Person
family name: Wu
given name: Lianhai
member: Rothamsted Research

Rothamsted Research
type: Organization

Wu, L.
type: Person
family name: Wu
given name: L.
member: Rothamsted Research
holds role in time: role 4c58653d0764b33b

Gongadze, K.
type: Person
family name: Gongadze
given name: K.
member: Rothamsted Research
holds role in time: role 3a9f86255bc24319

Harris, P.
type: Person
family name: Harris
given name: P.
member: Rothamsted Research
holds role in time: role 8aea940c718a5704

grant ef2342851459d677
type: Grant
type: Activity
has grant number: NE/N007433/1