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Spatial crop model applications in Austria: Climate change ... - adagio

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<strong>Spatial</strong> <strong>crop</strong> <strong>model</strong> <strong>applications</strong> <strong>in</strong><br />

<strong>Austria</strong>:<br />

<strong>Climate</strong> <strong>change</strong> impacts on cereals<br />

<strong>in</strong> the Marchfeld region/<strong>Austria</strong><br />

2nd General Meet<strong>in</strong>g Sofia, Mar. 2008<br />

www.ADAGIO-EU.org<br />

Gerhard Kubu, Josef Eitz<strong>in</strong>ger, Sab<strong>in</strong>a Thaler<br />

March, 2008


Investigation area: area:<br />

Marchfeld


Crop Models<br />

Carbon<br />

Water<br />

Nitrogen


DSSAT v 4<br />

(Decision Support System for Agrotechnology Transfer)


Soil classes<br />

Available water capacity of soils<br />

the range of available<br />

water that can be stored<br />

<strong>in</strong> soil (1 m depth) and<br />

be available for grow<strong>in</strong>g<br />

<strong>crop</strong>s


Soil classes<br />

examples<br />

Parachernosem<br />

Chernosem and colluvial<br />

Fluvisols<br />

Chernosem<br />

1 2 3 4 5<br />

awc 300 [mm]<br />

area: 2% 15% 61% 22% 0.2%<br />

Source: eBOD - Die digitale Bodenkarte, BFW, 2005


Calibration:<br />

Calibration:<br />

W<strong>in</strong>ter wheat and spr<strong>in</strong>g barley<br />

Yield [kg ha -1 ]<br />

W<strong>in</strong>ter wheat: 16 calibration years Spr<strong>in</strong>g barley: 8 calibration years<br />

Federal experimental as well as weather station: Fuchsenbigl<br />

(lat 48.322, long 17.000, elevation 149 m)


<strong>Climate</strong> <strong>change</strong> impacts - methodology<br />

multi-year simulation is made to assess mean and variability<br />

Source: Dubrovsky M.,2004; Met&Roll: http://www.ufa.cas.cz/dub/impacts/met&roll.htm


Sow<strong>in</strong>g date<br />

<strong>change</strong>s <strong>in</strong> respect to the present conditions – <strong>in</strong> days<br />

� W<strong>in</strong>ter wheat: delay of the average sow<strong>in</strong>g date<br />

<strong>in</strong> autumn<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

0<br />

-2<br />

-4<br />

-6<br />

-8<br />

-10<br />

HadCM high HadCM low CSIRO high CSIRO low ECHAM high ECHAM low<br />

� Spr<strong>in</strong>g barley: earlier average sow<strong>in</strong>g date <strong>in</strong> spr<strong>in</strong>g<br />

HadCM high HadCM low CSIRO high CSIRO low ECHAM high ECHAM low


A2 SRES scenario 2050 - W<strong>in</strong>ter wheat Yield<br />

% <strong>change</strong> <strong>in</strong> respect to the present conditions


Water stress <strong>in</strong>dex: <strong>in</strong>dex<br />

Water factor for growth - Spr<strong>in</strong>g barley<br />

2050


Conclusion:<br />

Conclusion<br />

� spr<strong>in</strong>g barley showed more sensitivity to<br />

climate <strong>change</strong> than w<strong>in</strong>ter wheat<br />

� Yield potential of w<strong>in</strong>ter wheat <strong>in</strong>creases<br />

� especially due to the CO 2 -fertiliz<strong>in</strong>g effects<br />

� it can also profit by higher w<strong>in</strong>ter precipitation<br />

� For spr<strong>in</strong>g barley <strong>in</strong>creased aridity leads to<br />

a decrease of the yield potential or to<br />

stagnation


ADAGIO – General<br />

Meet<strong>in</strong>g Sofia<br />

www.ADAGIO-EU.org<br />

www.ADAGIO EU.org<br />

Thank you<br />

for your attention! attention<br />

Gerhard Kubu – gerhard.kubu@boku.ac.at – BOKU Vienna, <strong>Austria</strong>

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