19 research outputs found

    The possibilities of biodiversity monitoring based on Hungarian Light Trap Networks

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    Our method is presented with displaying time series, consisting of the daily amount of precipitation of 100 years, which has meant a separate challenge, as the precipitation data shows significant deviations. By nowadays, mankind has changed its environment to such an extent that it has a significant effect on other species as well. The Lepidoptera data series of the National Plant Protection and Forestry Light Trap Network can be used to justify this. This network has a national coverage, a large number of collected Lepidoptera, and an available, long data series of several years. For obtaining information from these data, the setting up of an easy to manage database is necessary. Furthermore, it is important to represent our data and our results in an easily analysable and expressive way. In this article the setting up of the database is introduced, together with the presentation of a three dimensional visualization method, which depicts the long-range and seasonal changes together

    A Pécsi Tudomånyegyetem informatikai fejlesztésének története

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    A szĂĄmĂ­tĂĄstechnika Ă©s az informatikai infrastruktĂșra fejlƑdĂ©se a PĂ©csi TudomĂĄnyegyetemen (PTE). A szĂĄmĂ­tĂĄstechnika alkalmazĂĄsa a pĂ©csi felsƑoktatĂĄsban 1971-ben kezdƑdött a Pollack MihĂĄly MƱszaki FƑiskolĂĄn, egy Ă©vvel kĂ©sƑbb a JogtudomĂĄnyi Karon, majd a PĂ©csi OrvostudomĂĄnyi Egyetemen. A PĂ©csi TanĂĄrkĂ©pzƑ FƑiskolĂĄn az 1980-as Ă©vek elejĂ©n jelentek meg az elsƑ szĂĄmĂ­tĂłgĂ©pek. Mivel korĂĄbban az egyetemi karok többsĂ©ge önĂĄllĂł intĂ©zmĂ©ny volt, az informatika fejlƑdĂ©sĂ©nek törtĂ©nete mindegyik karnĂĄl mĂĄskor, mĂĄskĂ©pp indult Ă©s mĂĄs pĂĄlyĂĄt követett. A kötet cĂ©lja, hogy betekintĂ©st adjunk egyetemĂŒnk informatikai fejlƑdĂ©sĂ©be, amely a mai napig hatĂĄssal van az oktatĂĄsra Ă©s a kutatĂĄsra egyarĂĄnt

    A vezetĂ©k nĂ©lkĂŒli hĂ­rközlĂ©s kezdete MagyarorszĂĄgon: Beginning of wireless communication in Hungary

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    After Oliver Lodge repeated Hertz’s experiments and published them widely, several foreign and domestic researchers and amateurs recognized the possibility of transmitting information wirelessly. In addition to some Hungarian individuals, the experts of the Royal Hungarian Post Office also performed experiments with a spark gap transmitter and some receivers with different systems. Compared to other European countries, Hungary joined the international wireless telegraph traffic relatively late, which was mainly forced by the First World War. Kivonat MiutĂĄn Oliver Lodge megismĂ©telte Hertz kĂ­sĂ©rleteit, Ă©s azt szĂ©les körben publikĂĄlta, több kĂŒlföldi Ă©s hazai kutatĂł Ă©s amatƑr meglĂĄtta benne az informĂĄciĂł vezetĂ©k nĂ©lkĂŒli tovĂĄbbĂ­tĂĄsĂĄnak lehetƑsĂ©gĂ©t. NĂ©hĂĄny magyar magĂĄnszemĂ©ly mellett a Magyar KirĂĄlyi Posta szakemberei is vĂ©geztek kĂ­sĂ©rleteket szikratĂĄvĂ­rĂł adĂł- Ă©s kĂŒlönfĂ©le vevƑberendezĂ©ssel. MagyarorszĂĄg – a többi eurĂłpai orszĂĄghoz kĂ©pest – viszonylag kĂ©sƑn kapcsolĂłdott be a nemzetközi vezetĂ©knĂ©lkĂŒli tĂĄvĂ­rĂłforgalomba, amit elsƑsorban az elsƑ VilĂĄghĂĄborĂș kĂ©nyszerĂ­tett ki

    Long-term dynamic patterns and diversity of phytoplankton communities in a large eutrophic river (the case of River Danube, Hungary)

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    In this paper we present the composition, seasonal dynamics and fluctuations in diversity of the phytoplankton in the Danube River over 24 years. Weekly samplings were conducted at one section of the river at Göd, in the 1669 river kilometer segment. The change in the phytoplankton community structure was analyzed in relation of water temperature and discharge means. Our findings support the opinion that the Danube is very rich in species, although many of the species are rare and could be described only as coloring species. Results indicate trends in the phytoplankton abundance, which are only detectable in long-term studies. By the help of diversity indices we have observed an increase in the phytoplankton community diversity. With the relevant information, an explanation of the significant changes in diversity and richness was formed. Our goals were a construction of a solid database of the phytoplankton, examining the seasonal dynamics of the phytoplankton through a 24 year long study and to see the most important changing factors of the community. The results of this study are to assist and help future model developments to predict the phytoplankton seasonal dynamic patterns

    A Pécsi Tudomånyegyetem informatikai fejlesztésének története

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    A szĂĄmĂ­tĂĄstechnika alkalmazĂĄsa a pĂ©csi felsƑoktatĂĄsban 1971-ben kezdƑdött a Pollack MihĂĄly MƱszaki FƑiskolĂĄn, egy Ă©vvel kĂ©sƑbb a JogtudomĂĄnyi Karon, majd a PĂ©csi OrvostudomĂĄnyi Egyetemen. A PĂ©csi TanĂĄrkĂ©pzƑ FƑiskolĂĄn az 1980-as Ă©vek elejĂ©n jelentek meg az elsƑ szĂĄmĂ­tĂłgĂ©pek. Mivel korĂĄbban az egyetemi karok többsĂ©ge önĂĄllĂł intĂ©zmĂ©ny volt, az informatika fejlƑdĂ©sĂ©nek törtĂ©nete mindegyik karnĂĄl mĂĄskor, mĂĄskĂ©pp indult Ă©s mĂĄs pĂĄlyĂĄt követett. A kötet cĂ©lja, hogy betekintĂ©st adjunk egyetemĂŒnk informatikai fejlƑdĂ©sĂ©be, amely a mai napig hatĂĄssal van az oktatĂĄsra Ă©s a kutatĂĄsra egyarĂĄnt

    Comparative analysis of the relationship between phenological phenomena and meteorological indicators based on insect and plant monitoring

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    Climate change is one of the biggest environmental problems of the 21st century. The most sensitive indicators of the effects of the climatic changes are phenological processes of the biota. The effects of climate change which were observed the earliest are the remarkable changes in the phenology (i.e. the timing of the phenophases) of the plants and animals, which have been systematically monitored later. In our research we searched for the answer: which meteorological factors show the strongest statistical relationships with phenological phenomena based on some chosen plant and insect species (in case of which large phenological databases are available). Our study was based on two large databases: one of them is the Lepidoptera database of the Hungarian Plant Protection and Forestry Light Trap Network, the other one is the Geophytes Phenology Database of the Botanical Garden of Eötvös Lorånd University. In the case of butterflies, statistically defined phenological dates were determined based on the daily collection data, while in the case of plants, observation data on blooming were available. The same meteorological indicators were applied for both groups in our study. On the basis of the data series, analyses of correlation were carried out and a new indicator, the so-called G index was introduced, summing up the number of correlations which were found to be significant on the different levels of significance. In our present study we compare the significant meteorological factors and analyse the differences based on the correlation data on plants and butterflies. Data on butterflies are much more varied regarding the effectiveness of the meteorological factors
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