Lecturing ( http://moodle.czu.cz/):
The course mainly explains the composition, structure, origin and the role of atmosphere, the concept of positive and negative climate feedbacks in the climate system and its component. Interactions of the global energy, water, and carbon cycles and their influence on general circulation are presented. The course also deals with the analysis and interpretation of meteorological and climatological data in a variety of applied contexts. Moreover, fundamentals in the climatic and crop growth modelling, and its applications in the ecosystems are provided.
Doctoral Study Program
1) Vulnerability of hop production due to compound climate and weather events
Compound extremes (or events) may lead to amplified impacts than may individual extremes (or events) and have received increasing attention in the past decade. Concurrent extremes of drought and heat causes problems for hop growers across Europe. Statistical data suggest that especially aroma hops are vulnerable to extremes. While irrigation can eliminate drought impact, but the main problem still remains, and that is the drop in content of alpha-acids. High summer temperatures inhibited the accumulation of alpha-acids. The proposed PhD will therefore undertake a novel examination in vulnerability of hop production to such extremes. Modern agricultural system endeavour to minimize these hazards by means of infrastructure protection plans, efficient resource management, and insurance plans. The European Cooperation in Science and Technology (COST) funded the Action CA17109 called “Understanding and modeling compound climate and weather events”, or “DAMOCLES” for short (2018-2022). DAMOCLES brings together climate scientists, impact modellers, statisticians, and stakeholders from all over Europe to better understand, describe and project compound events. The PhD thesis will be realized in the collaboration with the DAMOCLES action.
2) Understanding and modelling compound climate and weather events and their impacts on oilseed rape
Oilseed rape along the growing season could be exposed to an ensemble of adverse meteorological events (overwintering, lodging, drought, surplus of rainfall, severe frost) whose impacts are complex to be assessed. The compound events (i.e. two or more extreme events occurring simultaneously or successively) may result from contributing events either of the same or different type(s) that amplify the impact to the agricultural production. Thereby, the role of the multivariate extremes, compound events and storylines approaches in the agriculture research has thus gained more attention. Winter oilseed rape (an oil and energy crop) is a globally important crop, it faces changing biotic and abiotic stresses linked to climate change or the introduction of new diseases and pests. The proposed PhD will therefore undertake a novel examination of the dual concept of crop-losses and compound events during the growing cycle of oilseed rape under various soil and climatic conditions.
The European Cooperation in Science and Technology (COST) funded the Action CA17109 called “Understanding and modeling compound climate and weather events”, or “DAMOCLES” for short (2018-2022). DAMOCLES brings together climate scientists, impact modellers, statisticians, and stakeholders from all over Europe to better understand, describe and project compound events. The PhD thesis will be realized in the collaboration with the DAMOCLES action and the Czech Central Institute for Supervising and Testing in Agriculture.
3) Modelling climate change impacts on the thermophilic vegetables
Vegetable crop production generates high economic returns per unit of land and thus offers promising income prospects. Due to climate change in Elbe lowland, the breeding of new and improved vegetable crop varieties may lead to an expansion of the areas that are suitable for the profitable cultivation of vegetables. In addition to the current assortment of vegetables that are grown under the present-day climate, non-traditional vegetables could also be grown in open field conditions. Thus, experiments should be performed with crops that are currently grown infrequently in the area but that could become important under future climate and market environments. Researchers have used computer simulation models of the soil-plant-atmosphere system to evaluate these impacts. The crop models calculate expected growth and development based on equations that describe how a crop responds to soil and weather conditions. Although crop models have a great potential for practical use particularly in horticultural field production, their use remains limited.