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Increasing the spatial scale of process-based agricultural systems models by representing heterogeneity: The case of urine patches in grazed pastures

journal contribution
posted on 2023-05-03, 15:25 authored by Val SnowVal Snow, Rogerio Cichota, Russel McAuliffe, Nick Hutchings, Jonas Vejlin
We sought to extend the spatial scale of soil-plant models by including, rather than ignoring, heterogeneity using the deposition of urine patches as an example. Our “pseudo-patches” approach preserves the most important biophysical effects but is computationally-tractable within a multi-paddock simulation. It explicitly preserves the soil carbon and nitrogen heterogeneity but does not require independent simulation of soil water and plant processes and is temporal in that the patches of heterogeneity can appear and disappear during the simulation. The approach was tested through comparison to simulations that more-closely represented field conditions and which contained independent urine patches. The testing was successful, reducing substantial error in the simulation of pasture grazed and leaching for modest increases in simulation execution time but we recommend additional testing under very low and very high stocking densities. The approach is applicable to any heterogeneity in soil nitrogen or carbon such as in spatially-managed fertiliser applications

History

Rights statement

© 2017 Elsevier Ltd. All rights reserved.

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

Elsevier

Journal title

Environmental Modelling & Software

ISSN

1364-8152

Citation

Snow, V. O., Cichota, R., McAuliffe, R. J., Hutchings, N. J., & Vejlin, J. (2017). Increasing the spatial scale of process-based agricultural systems models by representing heterogeneity: the case of urine patches in grazed pastures. Environmental Modelling & Software, 90, 89–96. doi:10.1016/j.envsoft.2017.01.005

Funder

Plant and Food Research

Contract number

A14515

Job code

55729

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