An estimate of carrying capacity of land for ruminant livestock production across southern Australia, using gridded batch simulation modelling

Dean T. Thomas1, Eric J. Zurcher2, Gonzalo Mata1, Neville I. Herrmann2, Dave A. Henry3

1CSIRO Agriculture and Food, Centre for Environment and Life Sciences, Floreat, WA 6014, dean.thomas@csiro.au,
2CSIRO Agriculture and Food, Black Mountain Laboratories, Canberra, ACT 2601, 3CSIRO Agriculture and Food, Food Innovation Centre, Werribee, Vic. 3030

Abstract:

We present the first gridded modelling of grazing systems across southern Australia to estimate the carrying capacity of land for ruminant livestock production in relation to climate, soil and pasture species characteristics. A static Merino sheep trading enterprise was simulated using GrassGro™ software across a 5 km continental grid. A batch processing wrapper was developed to select inputs by geolocation and transfer these data to the simulation engine. The key output was a continental map of the optimised stocking rate per winter-grazed pasture hectare, as determined through maximising gross margin ($/ha), constrained by a supplementary feeding limit (< 20% of total energy intake) and a ground cover threshold (>50% cover for more than 90% of the time). We use the study to highlight some likely sources of error in existing methods, and how our method can help to compare livestock carrying capacity across a wider geographic region.

 

Host

The Australian Society of Agronomy is the professional body for agronomists in Australia. It has approximately 500 active members drawn from government, universities, research organisations and the private sector.

Photo Credits

David Marland Photography david_marland@hotmail.com Graham Centre for Agricultural Innovation, Charles Sturt University

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