This paper presentsthe vegetation of the Skarpa Ursynowska landscape reserve, located in Warsawin close vicinity to the WULS campus. Flora and vegetation occurring in this area are under the influence of a strong human impact. Here forest and non-forest plant communities have been characterized, with particular emphasis on the degree of disturbance andsynanthropization. Inventories of the vascular plant flora (including species protected by law) were performed, and the share of foreign species representing different categories of a historical-geographical classificationof synanthropic plants examined. Nature monuments located in the reserve and its close vicinity have also been recorded in the inventory.
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Species – area (SAR) and species time (STR) relationships describe the increase of species richness with study area and study time and have received much attention among ecologists and are used in different branches of biodiversity research. Unknown sample size effects often hinder a direct comparison of SAR and STR shapes of different taxa and regions. Further, space and time interact during the accumulation of species due to the common sample universe. Here we develop a simple power function scaling model of species richness that integrates space, time, sample size and their interactions. We show that this model is able to precisely describe average species densities and the increase of species richness in a regional metacommunity of a large sample of spiders on Mazurian lake islands (Northern Poland). The model predicts strong area – sample size and time – sample size interactions. Judged from the SAR (z = 0.08) and STR (y = 0.64) slopes it points to only moderate spatial β–diversities but high local temporal species turnover. We suspect that the parameters of many published SARs are strongly influenced by unknown sampling time and sample size effects that make direct comparison difficult.
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Accumulation of selfish DNA in cells has fundamental consequences for organism metabolism. Detrimental effects of large genome size have been demonstrated for several aspects of performance in plant and animal species. Here we check if a large genome affects occupancy among Coccinelidae and Chrysomelidae occurring in Poland. It was possible to match literature data on distribution and genome-size data for 19 species of chrysomelids and 10 species of coccinelids of different rarity (occurrence expressed as % of Poland area) and body size. There was a marginally significant (P = 0.04) and expected excess of species with large genomes among rare species (<0.73% of area), as well as an excess of species with small genomes among common species (>0.89% of area) However overall correlation was not significant (P = 0.13). Body size was not related to rarity in these species. The detection of this weak signal provides a clue to the important idea that large-scale patterns may stem from differences observed at the cellular level.
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