IMAGES: An integrated model of an arid grazing ecological system

Hacker, Ronald B.; Wang, King-Min; Richmond, G.S.; Lindner, Robert K.

doi:10.1016/0308-521x(91)90002-r

Cited by 19 publications

(7 citation statements)

References 11 publications

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“…One advantage of the short-term model when compared with another model of a semiarid shrubland production system (IMAGES, Hacker et al, 1991) is that it can simulate complex vegetation consisting of different guilds of shrubs and annuals having different patterns of growth, responses to soil moisture and preference by grazing animals. In addition, IMAGES uses a time step of 4 months and is not able to simulate the adverse effect of an 8-week delay in the onset of the rainy season on forage growth and the consequent effect on the survival of newborn kids.…”

Section: Article In Pressmentioning

confidence: 99%

Modelling the sustainability and productivity of pastoral systems in the communal areas of Namaqualand

Richardson

Hahn

Hoffman

2007

Journal of Arid Environments

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Section: Article In Pressmentioning

confidence: 99%

Modelling the sustainability and productivity of pastoral systems in the communal areas of Namaqualand

Richardson

Hahn

Hoffman

2007

Journal of Arid Environments

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“…The structure of the IMAGES model (Hacker et al, 1991) is illustrated in Figure 1. Although conceptually a whole property model is outlined, the relationships of interest to the present study are those within the inner box.…”

Section: An Integrated Model Of An Arid Grazing Ecological System (Immentioning

confidence: 99%

“…A more detailed description of the model, and its mathematical formulation, is given by Hacker et al (1991). Although the model can accommodate the imposition of cultural treatments (e.g.…”

Section: An Integrated Model Of An Arid Grazing Ecological System (Immentioning

confidence: 99%

“…Thus, interval boundaries for desirable perennial plant density and biomass were chosen to provide as many classes as practicable, given computational constraints, within the range of these variables observed in the field (Holm et al, 1994). Class intervals for seedling density were based on the likely range of seedling numbers assessed from field data used to validate the model (Hacker et al, 1991), and from the results of preliminary simulation runs under different climatic conditions and grazing policies to capture the important features of the model dynamic behaviour.…”

Section:  mentioning

confidence: 99%

“…This is typical of pastoral production systems. The derivation in IMAGES of the wool production and mortality variables used in the calculation of annual net profit margin are given by Hacker et al (1991).…”

Section:  mentioning

confidence: 99%

See 2 more Smart Citations

Sustainability of Rangeland Pastoralism—a Case Study from the West Australian Arid Zone using Stochastic Optimal Control Theory

Wang

Hacker

1997

Journal of Environmental Management

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Aussie Grass: Australian Grassland and Rangeland Assessment by Spatial Simulation

Carter¹,

Hall²,

Brook³

et al. 2000

Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems

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Defining drought, categorising current droughts, and assessing grassland and rangeland sustainability in a quantitative and scienti:fic manner are important national issues for Australian State and Commonwealth governments, landholders and agribusiness. A challenge for ecologists and modellers of Australia's grasslands and rangelands is to integrate biological models, geographic information systems, satellite imagery, economics, climatology and visual high-performance computing into readily available products that can provide monitoring and prediction advice in near real-time.The QDNR systems approach to the management of native grasslands recognises that drought occurs at a regional scale, and that impacts on livestock and natural resources can be forecast using simple models of soil water, plant growth and animal performance. Our vision for a comprehensive Australian Gmssland and Rangeland Assessment System (Aussie GRASS) is one that consists of the best combination of minfall analyses, seasonal climate forecasts, satellite and terrestrial monitoring, and simulation models of relevant biological processes. This will provide a rational basis for largescale management decisions by graziers, extension workers, land resource managers, bureaucmts and politicians. Aussie GRASS products are currently used within the Queensland government for drought declaration assessments and applications for Drought Exceptional Circumstances.The Aussie GRASS national spatial modelling framework allows agricultural simulation models to be run at a continental scale on a 0.05 degree 05 km) grid. The simulation model currently in use by the Aussie GRASS project is the GRASP pasture model developed for tropical native pastures in Queensland by QDPI and QDNR. In the latest Aussie GRASS project, other regional models are being examined for their applicability to areas such as the southem winter perennial grass zone, chenopod shrublands or the high minfall temperate zone. 330 The Queensland version of the Aussie GRASS model is currently used to produce data for a monthly report -A Summary of Seasonal Conditions in Queensland. Model outputs are used in conjunction with recorded and forecast rainfall, satellite imagery, Southern Oscillation Index and current drought declarations to build a comprehensive picture of the current and future seasonal conditions impacting on primary producers. Other numerous outputs from the model can be produced and tailored as required.

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IMAGES: An integrated model of an arid grazing ecological system

Cited by 19 publications

References 11 publications

Modelling the sustainability and productivity of pastoral systems in the communal areas of Namaqualand

Modelling the sustainability and productivity of pastoral systems in the communal areas of Namaqualand

Sustainability of Rangeland Pastoralism—a Case Study from the West Australian Arid Zone using Stochastic Optimal Control Theory

Aussie Grass: Australian Grassland and Rangeland Assessment by Spatial Simulation

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