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  • 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.
  • 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. (en)
  • Pro posouzení nejistot ve scénářích změny klimatu byla provedena impaktová studie pomocí růstového modelu CERES-Wheat v kombinaci se stochastickým generátorem meteorologických dat. (cs)
Title
  • Projections of uncertainties in climate change scenario into expected winter wheat yield
  • Projections of uncertainties in climate change scenario into expected winter wheat yield (en)
  • Dopady nejistot v scénářích změny klimatu na očekávaný výnos pšenice ozimé (cs)
skos:prefLabel
  • Projections of uncertainties in climate change scenario into expected winter wheat yield
  • Projections of uncertainties in climate change scenario into expected winter wheat yield (en)
  • Dopady nejistot v scénářích změny klimatu na očekávaný výnos pšenice ozimé (cs)
skos:notation
  • RIV/62156489:43210/04:00000189!RIV/2005/GA0/432105/N
http://linked.open.../vavai/riv/strany
  • 229;249
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA521/02/0827), Z(MSM 432100001)
http://linked.open...iv/cisloPeriodika
  • 3-4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 582617
http://linked.open...ai/riv/idVysledku
  • RIV/62156489:43210/04:00000189
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • climate change scenario;crop model;yield (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • AT - Rakouská republika
http://linked.open...ontrolniKodProRIV
  • [A55C42ED0F1D]
http://linked.open...i/riv/nazevZdroje
  • Theoretical and Applied Climatology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 77
http://linked.open...iv/tvurceVysledku
  • Dubrovský, Martin
  • Semerádová, Daniela
  • Trnka, Miroslav
  • Žalud, Zdeněk
http://linked.open...n/vavai/riv/zamer
issn
  • 0177-798X
number of pages
http://localhost/t...ganizacniJednotka
  • 43210
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