Změna klimatu je dnes považována za nejzávažnější ohrožení životního prostředí v celosvětovém měřítku. Diplomová práce se zabývá problémem změny klimatu ze třech úhlů pohledu, zmiňuje aspekt environmentální, ekonomický a politický. Jejím cílem je odhadnout pravděpodobný budoucí vývoj klimatické změny, její dopady na člověka, přírodu a různé sektory světového hospodářství.

The main focus of the thesis is the color influence of people and the color composition in the landscape. The other aim is the psychology meaning of the human perception of different colors. Further, the focus is on the phenology, which aims to annual changes of plant´s organs within the grow cycle and plant changes during one year. Through the phytocenology there is a space for mapping of occurrence and evaluation of vegetation cover. Also, there are described in more detail the color models. The methodology is focused on color change monitoring of the sample area, which is located in Šumava Mountains within one vegetation cycle. The color change is demonstrated by 12 photos, and after that is verified and evaluated by the time-lapse image analysis. The main aim of the analysis is to propose the objective analysis how to measure the color changes during a year. By the hypothesis, we verify, if it is possible to measure seasonal changes objectively or not.

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The aim of the thesis was to prove the efficiency of aquatic plants in removing of water biogens, to produce a list of aquatic plants suitable for this purpose and laboratory verification of the selected plants which were monitored for pH, conductivity, total N, total P, ammonia nitrogen, nitrite nitrogen, nitrate nitrogen, plant growth capes and light intensity. Data obtained in experiments by laboratory measurements are processed into a graphic form and there are also available tables of measured values. Experiments were carried out in the classroom and anjanced laboratory building of the M Mendel University in the period from 17.6.2015 to 31.3. 2016. The selected plants for tests became duckweed (Lemna minor) and reed canary grass (Phalaris arundinacea). Tests were carried out in the length of 7 to 14 days for the duckweed and 7.5 months for the canary. Measured results confirmed the information obtained from other works and verified the results.

The main objective of this dissertation is to provide a novel approach to downscaling of outputs from regional climate models and to simulation of future climate. The resulting method consists of rain generator that operates in 6-hour time step. The generator performs well for the observational data. It consists of following steps: disaggregation of 6-hour cumulative precipitation into convective and stratiform types, fitting of first order 3-state discrete time Markov chain to the data and simulation of long time series of precipitation. Then the mixture of log-normal and Generalized Pareto distribution is fitted to stratiform events and the Generalized extreme value distribution is fitted to convective events. The impact of climate change on precipitation is evaluated by using change factors that are identified for precipitation occurrence (by comparing the transition matrices for the future and control period) and for precipitation amount (by comparing the scale and location parameters of distributions fitted for the future and control period). The observational data are then altered with obtained change factors. From evaluation of observational data it stems that the average volume of an convective event is higher for the western region than for eastern region of the Czech Republic. Additionally, statistically significant trends in number and volume of convective events were identified for the region. The relative portion of convective precipitation is the highest in summer for observational data. From analysis of RCMs simulations, it stems that even though the overall precipitation is projected to be lower in future, the proportion of convective events (versus stratiform ones) would be higher. The number of convective events is projected to be lower in the future, while the volume of a convective event to be bigger.

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