Pulse Brain · Growing Health Evidence Index
Peer-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

In this study, we evaluated the ability of the SPACSYS model to simulate water run-off, soil moisture, N<sub>2</sub>O fluxes and grass growth using data generated from a field of the North Wyke Farm Platform. The field-scale model is adapted via a linked and grid-based approach (grid-to-grid) to account for not only temporal dynamics but also the within-field spatial variation in these key ecosystem indicators. Spatial variability in nutrient and water presence at the field-scale is a key source of uncertainty when quantifying nutrient cycling and water movement in an agricultural system. Results demonstrated that the new spatially distributed version of SPACSYS provided a worthy improvement in accuracy over the standard (single-point) version for biomass productivity. No difference in mod

Source type
Peer-reviewed study
DOI
10.1016/j.geoderma.2017.11.029
Catalogue ID
BFmoakvjs3-k89szc
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