Models are a key component of our toolbox. We use them to find solutions to a range of challenges facing agricultural systems. See below for descriptions of some of the models we commonly use.
The Integrated Analysis Tool (IAT) is a farm-level household model that runs on a monthly time-step. It was originally developed for beef cattle production systems in eastern Indonesia, but has since been expanded for use in dairy and small ruminant systems in Africa and other parts of Asia. The IAT integrates information on crop, forage […]
The North Australian Beef Systems Analyser (NABSA) is a whole-farm-scale dynamic simulation model that simulates beef cattle systems. It integrates livestock, pasture and forage crop production with labour and land resource requirements and availability, accounts for component revenue and cost streams, and provides estimates of the expected environmental consequences of various management options. The NABSA […]
RUMINANT is an animal-level model that simulates the effects of nutrition (feed quality and availability) on the growth and production of cattle, sheep and goats. The RUMINANT model consists of a dynamic section that estimates intake and the supply of nutrients to the animal from the knowledge of the fermentation kinetics and passage of feed […]
The Crop Livestock Enterprise Model (CLEM) model is a bio-economic model for mixed smallholder farms or larger enterprises. It integrates animal, pasture and crop production with labour and economics and can account for multiple resources including crops, animals, economics, residue, products, labour, nutrition, feed, water and greenhouse gases. CLEM is based on the principals of […]
The Modular Applied GeNeral Equilibrium Tool (MAGNET) it is an economy wide model that simulates production, demand, and trade globally across all economic sectors. We use MAGNET to assess agricultural policies and their impacts not only in the agriculture sector, but across the whole economy. MAGNET has a modular structure, which allows the model to […]
G-Range is a global rangeland model that simulates changes in rangelands through time. G-Range uses spatial data and modules that represent ecological processes such as soil nutrient and water dynamics, vegetation growth, fire, and wild and domestic animal off-take. G-Range is developed by the Colorado State University.
Global Biosphere Management Model (GLOBIOM) is used to investigate the various trade-offs and synergies around land use and ecosystem services. It is a global, recursively dynamic, and partial equilibrium model. It is capable of capturing the multiple interrelationships between different systems involved in provision of agricultural and forestry products and draws on comprehensive socioeconomic and geospatial […]
The IMPACT model was developed to explore the challenges facing policymakers in reducing hunger, and poverty. IMPACT is a network of linked economic, water, and crop models. The central module is a partial equilibrium multi-market economic model, which simulates agricultural markets. The links to water and crop models support the integrated analysis of changing environmental, biophysical, […]
The Model of Agricultural Production and its Impact on the Environment (MAgPIE) is a global land use allocation model. It is coupled to the grid-based dynamic vegetation model Lund-Potsdam-Jena managed Land (LPJmL), with a spatial resolution of 0.5°x0.5°. The MAgPIE model accounts for regional economic conditions such as demand for agricultural commodities as well as spatially […]
The Agricultural Production Systems sIMulator (APSIM) is internationally recognised as a highly advanced simulator of agricultural systems. It contains modules that enable the simulation of agricultural systems that cover a range of plant, animal, soil, climate and management interactions. APSIM is deterministic and operates on a daily time-step and all modules are one dimensional and are […]
System Dynamics is a modelling approach that examines the dynamic interactions and feedback effects among different components and sub-components of a system, using integral calculus and differential equations represented through a graphical representation. In a value chain context, System Dynamics provides an analytical tool to analyses a problem from a whole chain perspective (producers, intermediaries, […]