Abstract: The Mitchell grasslands are some of the most productive grazing lands in Australia. However, the decision making environment for graziers is often challenging and risky within the naturally high rainfall and pasture growth variability experienced. Many graziers adjust their stock numbers based on the amount of standing feed and expected rainfall. Pasture models are useful if they explain the majority of variability in measured pasture growth, because long time series of measured growth are usually unavailable. The WinGrasp pasture model has been used to successfully simulate pasture growth in other plant communities (e.g. spear grass), however it is yet to be validated using independent data on Mitchell grasslands. If the model is...
In sub-tropical regions there is enormous seasonal, annual and spatial variation in pasture quality ...
1. A computer model is described which predicts monthly growth, senescence, litterfall and standing ...
Extreme year-to-year rainfall variability, long periods of drought, and temporal variability in fora...
DairyMod, EcoMod, and the SGS Pasture Model are mechanistic biophysical models developed to explore ...
Pastoralism is the major economic activity in the Victoria River District (VRD), and is dependent o...
Nutrition affects the reproductive performance of beef breeding females, but the optimal level of pa...
Pasture resting (spelling) during the early wet season, has been identified as an ecologically usefu...
Models for simulating beef-cattle enterprises require valid predictions of key animal production res...
Northern Australian agricultural industries are vulnerable to a highly variable climate. Year-to-yea...
Models of savanna and grassland systems in Australia are used for two distinct aims. The first aim i...
Cattle and sheep grazing is the dominant land use in Queensland, occupying nearly 86% of Queensland’...
Intensification of production in the water-limited grasslands of temperate Australia has increased t...
Grazing capacities for individual sheep properties were estimated and related to sustainable levels ...
In many semi-arid pastoral systems, landscape processes easily become dysfunctional. Shifts to less ...
This report examines the frequency with which past probable growth events occurred using the daily r...
In sub-tropical regions there is enormous seasonal, annual and spatial variation in pasture quality ...
1. A computer model is described which predicts monthly growth, senescence, litterfall and standing ...
Extreme year-to-year rainfall variability, long periods of drought, and temporal variability in fora...
DairyMod, EcoMod, and the SGS Pasture Model are mechanistic biophysical models developed to explore ...
Pastoralism is the major economic activity in the Victoria River District (VRD), and is dependent o...
Nutrition affects the reproductive performance of beef breeding females, but the optimal level of pa...
Pasture resting (spelling) during the early wet season, has been identified as an ecologically usefu...
Models for simulating beef-cattle enterprises require valid predictions of key animal production res...
Northern Australian agricultural industries are vulnerable to a highly variable climate. Year-to-yea...
Models of savanna and grassland systems in Australia are used for two distinct aims. The first aim i...
Cattle and sheep grazing is the dominant land use in Queensland, occupying nearly 86% of Queensland’...
Intensification of production in the water-limited grasslands of temperate Australia has increased t...
Grazing capacities for individual sheep properties were estimated and related to sustainable levels ...
In many semi-arid pastoral systems, landscape processes easily become dysfunctional. Shifts to less ...
This report examines the frequency with which past probable growth events occurred using the daily r...
In sub-tropical regions there is enormous seasonal, annual and spatial variation in pasture quality ...
1. A computer model is described which predicts monthly growth, senescence, litterfall and standing ...
Extreme year-to-year rainfall variability, long periods of drought, and temporal variability in fora...