Srovnání metod pro odhad dopadu sucha na výnos zemědělských plodin v Rakousku

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F05%3A00087240" target="_blank" >RIV/62156489:43210/05:00087240 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of different methods for estimation of drought impacts on crop yield on the field scale in Austria

Popis výsledku v původním jazyce

Meteorological indices, based mainly on only precipitation or temperature and precipitation did not correlate well (R2 <0.30) to yield depression of the investigated crops by drought when they were applied only for the main growing period (3 month) of the crops. Through the application of agrometeorological methods or indices the correlation could be improved significantly (R2 >0.30), because they consider information about soil water storage capacity and crop status. The best correlation of R2=0.67 (based on the year 2003 only) was found by using a relative available soil water depletion value from the simplified soil water balance model (FAO model), related to the 3 month main growing period. These results also disclose a high spatial variability ofactual drought stress levels due to the high spatial variability of soil conditions, which are not considered by meteorological indices. Remote sensing indices showed a very good relationship to yield depression in 2003 at the field scale

Název v anglickém jazyce

Comparison of different methods for estimation of drought impacts on crop yield on the field scale in Austria

Popis výsledku anglicky

Meteorological indices, based mainly on only precipitation or temperature and precipitation did not correlate well (R2 <0.30) to yield depression of the investigated crops by drought when they were applied only for the main growing period (3 month) of the crops. Through the application of agrometeorological methods or indices the correlation could be improved significantly (R2 >0.30), because they consider information about soil water storage capacity and crop status. The best correlation of R2=0.67 (based on the year 2003 only) was found by using a relative available soil water depletion value from the simplified soil water balance model (FAO model), related to the 3 month main growing period. These results also disclose a high spatial variability ofactual drought stress levels due to the high spatial variability of soil conditions, which are not considered by meteorological indices. Remote sensing indices showed a very good relationship to yield depression in 2003 at the field scale

Druh

D - Stať ve sborníku

CEP obor

GC - Pěstování rostlin, osevní postupy

OECD FORD obor

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Projekt

<a href="/cs/project/GA521%2F02%2F0827" target="_blank" >GA521/02/0827: Prostorová analýza výnosového potenciálu pšenice ozimé pro současné a změněné klima v České republice</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2005

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Geophysical Research Abstracts

ISBN

1029-7006

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

8568-8568

Název nakladatele

European Geosciences Union

Místo vydání

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Místo konání akce

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Datum konání akce

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Typ akce podle státní příslušnosti

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Kód UT WoS článku

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