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Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Deep drainage and land use systems. Model verification and systems comparison

Zahra Paydar A D , Neil Huth B , Anthony Ringrose-Voase A , Rick Young C , Tony Bernardi C , Brian Keating B and Hamish Cresswell A
+ Author Affiliations
- Author Affiliations

A CSIRO Land and Water, GPO Box 1666, Canberra, ACT 2601, Australia.

B CSIRO Sustainable Ecosystems/APSRU, 306 Carmody Road, St Lucia, Qld 4067, Australia.

C NSW Department of Primary Industries, Tamworth Agricultural Institute, RMB 944, Calala Lane, Tamworth, NSW 2340, Australia.

D Corresponding author. Email: Zahra.Paydar@csiro.au

Australian Journal of Agricultural Research 56(9) 995-1007 https://doi.org/10.1071/AR04303
Submitted: 10 December 2004  Accepted: 24 June 2005   Published: 28 September 2005

Abstract

Deep drainage or drainage below the bottom of the profile usually occurs when rain infiltrates moist soil with insufficient capacity to store the additional water. This drainage is believed to be contributing to watertable rise and salinity in some parts of the Liverpool Plains catchment in northern New South Wales. The effect of land use on deep drainage was investigated by comparing the traditional long fallow system with more intense ‘opportunity cropping’. Long fallowing (2 crops in 3 years) is used to store rainfall in the soil profile but risks substantial deep drainage. Opportunity cropping seeks to lessen this risk by sowing whenever there is sufficient soil moisture. Elements of the water balance and productivity were measured under various farming systems in a field experiment for 4 years in the southern part of the catchment. The experimental results were used to verify APSIM (Agricultural Production Systems Simulator) by comparing them with predictions of production, water storage, and runoff. The verification procedure also involved local farmers and agronomists who assessed the credibility of the predictions and suggested modifications. APSIM provided a realistic simulation of common farming systems in the region and could capture the main hydrological and biological processes. APSIM was then used for long-term (41 years) simulations to predict deep drainage under different systems and extrapolate experimental results. The results showed large differences between agricultural systems mostly because differences in evapotranspiration contributed to differences in profile moisture when it rained. The model predicted that traditional long fallow farming systems (2 crops in 3 years) are quite ‘leaky’, with average annual deep drainage of 34 mm. However, by planting crops in response to the depth of moist soil (opportunity or response cropping), APSIM predicted a much smaller annual drainage rate of 6 mm. Opportunity cropping resulted in overall greater water use and increased production compared with long fallowing. Furthermore, modelling indicated that average annual deep drainage under continuous sorghum (3 mm) is much less than under either long fallow cropping or continuous wheat (39 mm), demonstrating the importance of including summer cropping, as well as increasing cropping frequency, to reducing deep drainage.


Acknowledgments

We thank Robert and Edwina Duddy for use of the research site on Hudson. We gratefully acknowledge funding from the Land and Water Research and Development Corporation, the Grains Research and Development Corporation, and Salt Action. Interpolated long-term weather data were supplied by the Queensland Centre for Climate Applications and the Bureau of Meteorology (http://www.dnr.qld.gov.au/silo/datadril.html).


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