Dopady nejistot v scénářích změny klimatu na očekávaný výnos pšenice ozimé

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F04%3A00000189" target="_blank" >RIV/62156489:43210/04:00000189 - 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

Projections of uncertainties in climate change scenario into expected winter wheat yield

Popis výsledku v původním jazyce

The crop model CERES-Wheat in combination with stochastic weather generator were used to quantify uncertainties in climate change scenarios on crop yields of the most important European cereal crop i.e. winter wheat. Seven experimental sites with high quality experimental data were selected in order to evaluate the selected crop model and also to carry out climate change impact analysis. It was based on multi-year crop model simulations run with daily weather series obtained by stochastic weather generator and applying two emission scenario projections assuming CO2 ambient air concentration 548 ppm (B1) and 826 ppm (A2) by 2100. Seven global circulation models (GCMs) were used to derive individual climate change scenarios. Outputs of the seven GCMs were also averaged in order to derive average scenario (AVG). Time periods 2025, 2050 and 2100 were examined in the study.

Název v anglickém jazyce

Projections of uncertainties in climate change scenario into expected winter wheat yield

Popis výsledku anglicky

The crop model CERES-Wheat in combination with stochastic weather generator were used to quantify uncertainties in climate change scenarios on crop yields of the most important European cereal crop i.e. winter wheat. Seven experimental sites with high quality experimental data were selected in order to evaluate the selected crop model and also to carry out climate change impact analysis. It was based on multi-year crop model simulations run with daily weather series obtained by stochastic weather generator and applying two emission scenario projections assuming CO2 ambient air concentration 548 ppm (B1) and 826 ppm (A2) by 2100. Seven global circulation models (GCMs) were used to derive individual climate change scenarios. Outputs of the seven GCMs were also averaged in order to derive average scenario (AVG). Time periods 2025, 2050 and 2100 were examined in the study.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

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)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

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

Název periodika

Theoretical and Applied Climatology

ISSN

0177-798X

e-ISSN

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Svazek periodika

77

Číslo periodika v rámci svazku

3-4

Stát vydavatele periodika

AT - Rakouská republika

Počet stran výsledku

21

Strana od-do

229-249

Kód UT WoS článku

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EID výsledku v databázi Scopus

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