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Impact of Different Lawn Maintenance on Terrestrial Invertebrate Biodiversity
Klán, Jan ; Říhová, Dagmar (advisor) ; Škodová, Jana (referee)
This paper focuses on differences in the composition of invertebrate communities in grasslands with different management of green space management. It was carried out on four research plots with different management types (no-till, regular treatment with a power mower, treatment with a scythe, treatment with grazing). The main objective of the work is to demonstrate, using a sample of captured spiders, centipedes, millipedes, earwigs, and leafhoppers, which form of grassland habitat management is the most appropriate in terms of biodiversity richness. Other sub-objectives were to obtain local data on the variability of soil moisture in the study plots, air humidity and temperature. These values will illustrate an idea of the habitat of the captured animals. In terms of biodiversity, the grazed habitat proved to be the richest (a total of 84 species captured). This was followed by the no-mow habitat (83 species), mowed (76) and finally mowed with a mower (74). Mowed habitat was the poorest. In all habitats, the highest number of spider species was always captured, followed by crickets, and an order of magnitude fewer millipedes, centipedes, millipedes, and starlings were captured. One species of chrysalis was captured, which is listed on the Red List of Threatened Species of the Czech Republic. This...
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Mapping relict arctic-alpine tundra vegetation from multitemporal LiDAR data
Šrollerů, Alex ; Potůčková, Markéta (advisor) ; Lysák, Jakub (referee)
The thesis focuses on metrics of vertical structure of vegetation derived from UAV LiDAR data and their use for multitemporal classification of selected species of arctic-alpine tundra in the Krkonoše Mountains. The metrics are selected based on a literature search focusing on low and shrubby stands. Random Forest algorithm and permutation feature importance, drop column importance and individual predictor performance is used to determine the suitability of metrics for distinguishing tundra vegetation. Subsequently, a fusion with multispectral data is performed and influence of the LiDAR derived variables on the refinement of classification results is determined. The use of metrics derived from a digital surface model obtained by image correlation of multispectral data is also examined. Maximum height followed by minimum height, canopy relief ratio and coefficient of variation yielded the best results, they achieved an overall classification accuracy of 67.3% for Bílá louka meadow and 62.3% for Úpské rašeliniště bog. Fusion with multispectral data led to an increase in overall accuracy up to 2 %. In case of vegetation structure derived from the digital surface model, similar results were achieved apart from higher stands. LiDAR data did not prove to be beneficial in distinguishing grass communities...
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