D
Daniela Semerádová
Researcher at Academy of Sciences of the Czech Republic
Publications - 68
Citations - 2237
Daniela Semerádová is an academic researcher from Academy of Sciences of the Czech Republic. The author has contributed to research in topics: Climate change & Evapotranspiration. The author has an hindex of 25, co-authored 62 publications receiving 1818 citations. Previous affiliations of Daniela Semerádová include Mendel University.
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Agroclimatic conditions in Europe under climate change
Miroslav Trnka,Jørgen E. Olesen,Kurt Christian Kersebaum,Arne Oddvar Skjelvåg,Josef Eitzinger,Bernard Seguin,Pirjo Peltonen-Sainio,Reimund P. Rötter,Ana Iglesias,Simone Orlandini,Martin Dubrovský,Martin Dubrovský,Petr Hlavinka,J. Balek,Henrik Eckersten,E. Cloppet,P. Calanca,Anne Gobin,Višnjica Vučetić,Pavol Nejedlik,S. Kumar,B. Lalic,A. Mestre,Federica Rossi,Jerzy Kozyra,Vesselin Alexandrov,Daniela Semerádová,Zdeněk Žalud +27 more
TL;DR: In this paper, the authors presented a general picture of agroclimatic conditions in western and central Europe (study area lays between 8.5°W−27°E and 37°63°N), which allows for a more general assessment of climate-change impacts.
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Effect of drought on yield variability of key crops in Czech Republic
Petr Hlavinka,Miroslav Trnka,Daniela Semerádová,Martin Dubrovský,Martin Dubrovský,Zdeněk Žalud,Martin Možný +6 more
TL;DR: The study proved that a severe drought spell during the sensitive period of vegetative season does have a quantifiable negative effect, even within more humid regions and drought is one of the key causes of interannual yield variability.
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European Corn Borer life stage model: Regional estimates of pest development and spatial distribution under present and future climate
TL;DR: In this paper, the authors investigated changes in the climatic niche of one of the most important agricultural pests, the European Corn Borer (Ostrinia nubilalis, Hubner), using the multi-generational phenology model ECAMON.
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Mitigation efforts will not fully alleviate the increase in water scarcity occurrence probability in wheat-producing areas
Miroslav Trnka,Song Feng,Mikhail A. Semenov,Jørgen E. Olesen,Kurt Christian Kersebaum,Reimund P. Rötter,Daniela Semerádová,Karel Klem,Wei Huang,Margarita Ruiz-Ramos,Petr Hlavinka,Jan Meitner,Jan Balek,Petr Havlik,Ulf Büntgen +14 more
TL;DR: A method is developed to simultaneously quantify SWS over the world’s entire wheat-growing area and calculate the probabilities of multiple/sequential SWS events for baseline and future climates, which show that, without climate change mitigation, up to 60% of the current wheat- growing area will face simultaneous SWSEvents by the end of this century.
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Projections of uncertainties in climate change scenarios into expected winter wheat yields
TL;DR: In this paper, the effect of uncertainties in selected climate change scenarios on the yields of winter wheat, which is the most important European cereal crop, was analyzed using the crop model CERES-Wheat in combination with the stochastic weather generator.