Aust J Agric Res 49:345–361Īsseng S, Van Herwaarden AF (2003) Analysis of the benefits to wheat yield from assimilates stored prior to grain filling in a range of environments. The findings will have significant implications for estimates of future climate change impacts in this region with changes in rainfall causing non-proportional impacts on production and hydrological aspects, such as deep drainage and waterlogging, where proportionality is often presumed.Īnderson GC, Fillery IRP, Dunin FX, Dolling PJ, Asseng S (1998) Nitrogen and water flows under pasture–wheat and lupin–wheat rotations in deep sands in Western Australia-2. These results were due to the rainfall changes mainly occurring in June and July, a period when rainfall often exceeds crop demand and large amounts of water are usually lost by deep drainage. At the same time, simulated drainage decreased by up to 95% which will significantly reduce the spread of dryland salinity. Despite the large decline in rainfall, simulated yields based on the actual weather data did not fall. We used the ASPIM-Nwheat model in combination with historic climate data to study the impact of recent climate change on the hydrology and production of wheat based farming systems by comparing results for before and after 1975. Across nine sites, growing season rainfall (May to October) decreased by an average of 11% and the sum of rainfall in June and July (June + July) decreased by 20%. Since the mid 1970s the region has experienced a significant decrease in winter rainfall. Due to clearing of native vegetation, dryland salinity is a major problem in south-west Australia. The main factor limiting plant production in this region is rainfall. All rights reserved.The wheatbelt of Western Australia shows a distinct Mediterranean climate with most of the rainfall occurring in the winter months.
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An extensive citation list for these model testing and application studies is provided. APSIM has been used in a broad range of applications, including support for on-farm decision making, farming systems design for production or resource management objectives, assessment of the value of seasonal climate forecasting, analysis of supply chain issues in agribusiness activities, development of waste management guidelines, risk assessment for government policy making and as a guide to research and education activity.
#An overview of apsim trial
An example of model performance in a long-term cropping systems trial is provided. Reports of APSIM testing in a diverse range of systems and environments are summarised.
#An overview of apsim full
These modules include a diverse range of crops, pastures and trees, soil processes including water balance, N and P transformations, soil pH, erosion and a full range of management controls. The paper outlines APSIM's structure and provides details of the concepts behind the different plant, soil and management modules. APSIM was developed to simulate biophysical process in farming systems, in particular where there is interest in the economic and ecological outcomes of management practice in the face of climatic risk.
#An overview of apsim simulator
The Agricultural Production Systems Simulator (APSIM) is a modular modelling framework that has been developed by the Agricultural Production Systems Research Unit in Australia.