This thesis is focused on the variability monitoring of the chosen microclimate factors in the ecotone’s neighborhoods. The main aim was to measured an air temperature, a wind speed and an air humidity in the eight demarcated transects which go through an ecotone. Ecotones are transitional zones between two or among more different ecosystems. In the case of this measurement, the ecotones create a boundary between a forest and grassland. The measurements were carried on in the ecotones nearby two municipalities: Kobylí and Ždánice, in Trkmanka’s basin.
The measurements were done from April 2008 to April 2009. The measurements were provided using three anemometers Testo no. 410-1 and 410-2. The anemometers were used at three stations of the transect at the same time. One anemometer was situated in the forest, one in the middle of the ecotone and one in grassland. By this way was ensured an observation how the wind stream goes through the barrier of ecotones or how the variability of other climate indicators changes. This observation was done three times at different distances and different heights. The gathering data were written to e-form in a PDA. The data were analyzed and visualized in the ESRI products and other programmes.
The enclosures of this thesis are that the ecotones represent a barrier which distinguishes the next ecosystems in many ways.
From the analysis of the temperature characteristic, it can be said that the values of grassland part of the transect are higher than the values in the forest. The variability of the temperature is mostly higher in days when the sky is clear and the sun shines very intensive. On the other side, the variability is lower in the winter period.
The wind characteristics were the most variable at all. The ecotones was represented either as a barrier (in cases when vegetation was envolved) or as a corridor and then allow to infiltrate far to forest.
The air humidity was very influenced by the air temperature. The higher values were noted in the winter time and the lower in warm days. The forest represented more humidity surrounding than grass.
© Martina Hrubošová | Diplomová práce | Vedoucí práce: Ing. Helena KILIÁNOVÁ, Ph.D. | Katedra Geoinformatiky UP Olomouc | Rok zpracování: 2009