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 adapted the SPACSYS process-based model to simulate field-scale spatial heterogeneity in water and nitrogen cycling alongside herbage production at North Wyke Farm Platform. Using a grid-based spatially distributed approach, the authors demonstrated that explicitly modelling within-field variation substantially improved predictions of biomass productivity compared to conventional single-point simulations. The findings suggest that spatial heterogeneity is a significant source of uncertainty in quantifying nutrient cycling and water movement in pastoral systems, and that capturing this variation is important for accurate farm-level modelling.

UK applicability

The study was conducted at a UK research farm (North Wyke in Devon) using UK pasture conditions, making the findings directly applicable to temperate grassland management and pastoral systems across the United Kingdom. The modelling approach and insights into spatial variation could inform precision management strategies for UK livestock farmers seeking to optimise nutrient cycling and herbage productivity.

Key measures

Water run-off, soil moisture, N2O emissions, herbage biomass, spatial variation across field grid cells

Outcomes reported

The study modelled field-scale spatial variation in water run-off, soil moisture, nitrous oxide emissions and herbage biomass production in a grazed pasture using a grid-based process model. Results demonstrated that accounting for within-field spatial heterogeneity improved model predictions of biomass productivity compared to single-point simulations.

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
BFmobghqjf-asl57x

Topic tags

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