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        <dc:title>Effect of topography on farm-scale spatial variation in extreme temperatures in the Southern Mallee of Victoria, Australia </dc:title>
        <dc:creator>Dixit, P N</dc:creator>
        <dc:creator>Chen, D</dc:creator>
        <dc:subject>Agriculture-Farming, Production, Technology, Economics</dc:subject>
        <dc:subject>Climate Change</dc:subject>
        <dc:description>Extreme temperatures around flowering of wheat&#13;
have the potential to reduce grain yield and at farm scale&#13;
their impact can be spatially variable depending on&#13;
topography. Twenty-five data loggers were installed at&#13;
0.8-m height across a 164-ha farm in the southern Mallee&#13;
of Victoria, Australia to spatially record the daily course of&#13;
temperatures around the average date of flowering of wheat&#13;
in the region. The experiment was conducted during 2-&#13;
years period. In 1 year, the farm had no crop cover and in&#13;
another year the farm had a wheat crop. Multiple linear&#13;
regression analysis techniques were used to fit models&#13;
relating daily extreme temperatures to the farm topographic&#13;
features of elevation, aspect and slope, and the average&#13;
maximum and minimum temperatures of each day at the&#13;
farm in order to identify areas of high risk of extreme&#13;
temperatures around the time of the flowering of wheat.&#13;
The fitted regression models explained 90% and 97% of the&#13;
variability in maximum and minimum temperatures, respectively,&#13;
when the farm had no crop cover and 80% and&#13;
94% of the variability in maximum and minimum temperatures,&#13;
respectively, when the farm had a wheat crop cover.&#13;
When the farm had no crop, only minimum temperature&#13;
was partially explained by the topography however, both&#13;
maximum and minimum temperatures were partially&#13;
explained by the topography when the farm had a wheatcrop. From this study it was concluded that, (1) high&#13;
temperature variations were found across the farm (2)&#13;
temperature variations were only partially explained from&#13;
the developed model presumably due to the flatter&#13;
topography of the farm and (3) the relationships obtained&#13;
from this study could be used in a crop model which can&#13;
explain variation in grain yield based on the topography of&#13;
a field.</dc:description>
        <dc:publisher>Springer </dc:publisher>
        <dc:date>2011</dc:date>
        <dc:type>Article</dc:type>
        <dc:type>PeerReviewed</dc:type>
        <dc:format>application/pdf</dc:format>
        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/5424/1/TAC_103_533-542_2011.pdf</dc:identifier>
        <dc:identifier>  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      </dc:identifier>
        <dc:relation>http://dx.doi.org/10.1007/s00704-010-0327-2 </dc:relation></oai_dc:dc>
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