Effect of topography on farm-scale spatial variation in extreme temperatures in the Southern Mallee of Victoria, Australia

Dixit, P N and Chen, D (2011) Effect of topography on farm-scale spatial variation in extreme temperatures in the Southern Mallee of Victoria, Australia. Theoretical and Applied Climatology , 103 (3-4). pp. 533-542. ISSN 1434-4483

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Abstract

Extreme temperatures around flowering of wheat have the potential to reduce grain yield and at farm scale their impact can be spatially variable depending on topography. Twenty-five data loggers were installed at 0.8-m height across a 164-ha farm in the southern Mallee of Victoria, Australia to spatially record the daily course of temperatures around the average date of flowering of wheat in the region. The experiment was conducted during 2- years period. In 1 year, the farm had no crop cover and in another year the farm had a wheat crop. Multiple linear regression analysis techniques were used to fit models relating daily extreme temperatures to the farm topographic features of elevation, aspect and slope, and the average maximum and minimum temperatures of each day at the farm in order to identify areas of high risk of extreme temperatures around the time of the flowering of wheat. The fitted regression models explained 90% and 97% of the variability in maximum and minimum temperatures, respectively, when the farm had no crop cover and 80% and 94% of the variability in maximum and minimum temperatures, respectively, when the farm had a wheat crop cover. When the farm had no crop, only minimum temperature was partially explained by the topography however, both maximum and minimum temperatures were partially explained by the topography when the farm had a wheatcrop. From this study it was concluded that, (1) high temperature variations were found across the farm (2) temperature variations were only partially explained from the developed model presumably due to the flatter topography of the farm and (3) the relationships obtained from this study could be used in a crop model which can explain variation in grain yield based on the topography of a field.

Item Type:	Article
Divisions:	UNSPECIFIED
CRP:	UNSPECIFIED
Subjects:	Others > Agriculture-Farming, Production, Technology, Economics Others > Climate Change
Depositing User:	Mr Sanat Kumar Behera
Date Deposited:	08 Feb 2012 05:15
Last Modified:	08 Feb 2012 05:15
URI:	http://oar.icrisat.org/id/eprint/5424
Official URL:	http://dx.doi.org/10.1007/s00704-010-0327-2
Projects:	UNSPECIFIED
Funders:	University of Melbourne
Acknowledgement:	The financial support provided by the University of Melbourne in the form of Melbourne International Fee Remission Scholarship and Melbourne International Research Scholarship is greatly acknowledged. The help extended by the Department of Primary Industries (DPI), Horsham and Birchip Cropping Group is duly acknowledged. The authors are grateful to Dr. Daniel Rodriguez, DPI-Queensland and Dr. John Angus, CSIRO - Canberra for providing constructive suggestions
Links:	Author

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