Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Modelling field scale spatial variation in water run-off, soil moisture, N2O emissions and herbage biomass of a grazed pasture using the SPACSYS model

Yi Liu, Yuefen Li, Paul Harris, L. M. Cardenas, Robert M. Dunn, Hadewij Sint, P. J. Murray, Michael R. F. Lee, Lianhai Wu

Geoderma · 2017

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Summary

This study applied the SPACSYS model to simulate spatial heterogeneity in hydrological, biogeochemical and agronomic processes across a grazed pasture system. Whilst the spatially distributed modelling approach yielded promising results for soil moisture prediction, the authors note that verification of these outputs was limited by available observational data.

UK applicability

The research is directly applicable to UK grazing systems, as it addresses modelling of field-scale variation in moisture, greenhouse gas emissions and herbage production in temperate pastures. The findings may inform development of spatially explicit management tools for UK livestock farms, though the verification limitations noted suggest further validation would be needed before operational deployment.

Key measures

Water run-off, soil moisture, N2O emissions, herbage biomass, spatial variation across pasture

Outcomes reported

The study used the SPACSYS model to simulate field-scale spatial variation in water run-off, soil moisture, nitrous oxide emissions and herbage biomass across a grazed pasture. Soil moisture predictions from the spatially distributed model version showed promise but could not be objectively verified.

Theme
Farming systems, soils & land use
Subject
Grassland & pasture systems
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
United Kingdom
System type
Pasture-based livestock
DOI
10.1016/j.geoderma.2017.11.029
Catalogue ID
MGmow3c2f4-sw00lc

Topic tags

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