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Thesis (M. Sc.)--University of Canterbury, 2006. / Typescript (photocopy). Includes bibliographical references (leaves 100-115). Also available via the World Wide Web.

We can find a lot of microorganisms living in snow including psychrophilic snow algae from the order Chlamydomonadales (Chlorophyta). They are adapted to the extreme conditions in this habitat and can cause the phenomenon of coloured snow. The species Chlamydomonas nivalis (Bauer) Wille is the most commonly associated with red snow in alpine and polar regions during summer season worldwide. In the field material, we can find red spherical cells without flagella and any morphological characteristics suitable for species determination. Until now, this species has not been isolated into laboratory culture and its life cycle is unclear. Furthermore it has been shown that red coloured snow can be caused by more species which used to be determined as Chlamydomonas nivalis. The aim of this study was to collect samples of red snow from different parts of Europe, to describe the morphological variability of Chlamydomonas nivalis-like snow algae in relation to region of origin, to try to isolate laboratory strain of this species and to describe its position and distribution by phylogenetic analysis of laboratory strains and field samples. Red snow samples were collected from 30 European localities in Slovenian Alps, Romania, Dolomites, Ötztal, Wallis and Sarntal Alps, High Tauern, Ortler massif, in Norway,...

This thesis deals with six ponds, artificial snall lakes, (Mlýnský, Huťský, Pohořský, Uhlišťský rybník, Zlatá Ktiš a Kapelung) in the Novohradské mountains. They were studied at the interval of years 2004-2006. The basic hydrochemistries and variety of species of planktonic Algae and Cyanobacteria were analysed there. The volume of NH4-N was the highest in Mlýnský pond (20-76 ?g/l), which proves for a recent organic pollution. In other cases the rate was in range of 13-53 ?g/l. The most of NO2-N was again found in Mlýnský pond where its rate reached up to 420 ?g/l. The total amount of t-P was of the same rate in all the sites. It differed only slightly- 58-91 ?g/l. From the hydrochemical data follows that the most nutrients loaded is Mlýnský pond and the cleanest is Pohořský one The transparency (Seccki depth) of all the localities is also high (76-200 cm). It can be compared to the lakes of the Bavarian Forrest and the Bohemia Forest (Šumava). The proportion of N/P is usually between 7,0-29,8 (Chart 11), which shows evidence of limiting P (the most common limiting factor for phytoplankton in fresh waters). The total amount of found taxa (98) is comparable to e.g. lakes of the Bohemia Forest (260), this ara is however more explored. The largest amount of species is at Huťský pond (38) and the smallest one is at Uhlišťský pond (17). As a new species for the the Czech Republik was found Staurastrum arctiscon and Phaeospaera gelatinosa, than another interesting discovery is Vacuolaria penardii and Chloromonas nivalis (Scotiella nivalis). Also Dicranochaete sp. and Paulinella chromatophora are noticeable. The ponds of the Novohradské mountains are from the point ob view of hydrochemistry view unigue habitats. They make for refugium oligotrophic, rare and interesting species of Cyanobacteria and Algea and that is why they deserve proper protection.

The human use of landscape causes fragmentation and loss of original habitats. Different species vary in their sensitivity to habitat loss. Especially carnivores can be more sensitive to decrease of their habitat because of lower abundance of their prey. On the other hand several opportunistic carnivores can profit in human modified habitats. This study was carried out in the České Budějovice basin, Czech Republic during the years 2008 and 2009 and the aim of this study was to determine carnivore{\crq}s habitat preferences in the fragmented landscape. During these two years were seven carnivore species monitored in forest patches by using scent stations. Records of this monitoring were compared with physiognomy of these patches and structure of surrounding landscape.