When do beetles and bugs fly? A unified scheme for describing seasonal flight behaviour of highly dispersing primary aquatic insects

Many authors investigated the dispersal flight of aquatic insects, but the exact length of the seasonal flying periods and its main characteristics have not been determined. A wide spectrum of species must be investigated before drawing general conclusions on seasonal changes about dispersal flight. Seasonal dispersal flight of aquatic beetles and bugs were studied during a 30-week long monitoring period. Insects were attracted to highly polarizing horizontal shiny black plastic sheets. 90 species/taxa and more than 45 000 individuals were captured during the sampling period. Aquatic insects were rising into the air during all periods of the year (from April till October). We hypothesized that species or group of species can be characterized by different seasonal rhythms of their dispersal flight. A unified scheme was established based on seasonal dispersal activity of 45 species to assess the dispersal behaviour. Detailed information about seasonal dispersal of 22 more species, and seasonal dispersal pattern were predicted in cases of further 23 species. In all, three seasonal patterns and twelve sub-patterns were identified based on specific characteristics of flight. The scheme is widely and generally applicable to characterize the seasonal dispersal flight of primarily aquatic insects. To demonstrate this, we performed the classification on previously reported data. Both previous and current results of the flight dispersal studies can be classified in the scheme, and the results are comparable by using this unified categorization

Jamming of directed traffic on a square lattice

Phase transition from a free-flow phase to a jammed phase is an important feature of traffic networks. We study this transition in the case of a simple square lattice network for different values of data posting rate $(\rho)$ by introducing a parameter $p$ which selects a neighbour for onward data transfer depending on queued traffic. For every $\rho$ there is a critical value of $p$ above which the system become jammed. The $\rho-p$ phase diagram shows some interesting features. We also show that the average load diverges logarithmically as $p$ approaches $p_c$ and the queue length distribution exhibits exponential and algebraic nature in different regions of the phase diagram.Comment: 12 pages, 9 figure

Contribution to the dragonfly, aquatic beetle and caddisfly fauna of the Jászság, Hungary (Odonata, Coleoptera: Hydradephaga and Hydrophiloidea, Trichoptera)

Collecting data of 17 species of dragonflies and damselflies, 60 species of aquatic beetles and 18 species of caddisflies are given from 17 localities in the Jászság region. The occurrence of Hyphydrus anatolicus, Enochrus halophilus and Berosus geminus are important faunistic results

First annotated checklist of Chironomidae of Rhodos, Greece (Insecta, Diptera)

Chironomid fauna of Greek Aegean islands, an essential part of the biogeographically important Mediterranean region, is almost unexplored, with only 36 species recorded prior to the present study. It is especially true for Dodecanese islands (6 recorded species). In 2007, chironomid larvae and exuviae were collected in Rhodos, the largest member of the Dodecanese islands. Thirty-four taxa were identified (8 Tanypodinae, 10 Orthocladiinae, 16 Chironominae). None of the previously recorded taxa were found; thus all collected species proved to be new for the fauna of Rhodos. An actualized checklist for the Chironomidae of Rhodos is given based on the literature and results of recent investigations

Árvaszúnyogok (Diptera: Chironomidae) Felső-Tisza-vidéki holtmedrekből, két új fajjal a magyarországi faunában | Non-biting midges (Diptera: Chironomidae) from oxbows along the Hungarian section of the Upper-Tisza, with two new species to the Hungarian fauna

2002-ben 29 felsõ-Tisza-vidéki holtmederben gyûjtöttünk árvaszú- nyog-lárvákat. Három alcsaládból 33 árvaszúnyog-taxont találtunk, amelyek kö- zül kettõ (a Chironomus pseudothummi és a Synendotendipes impar) új a hazai faunában. A Glyptotendipes viridis elsõ adatait közöljük 1900 óta. Újabb adatait közöljük több olyan fajnak (Ablabesmyia phatta, Monopelopia tenuicalcar, Chironomus cingulatus, Cryptochironomus supplicans, Dicrotendipes lobiger, Einfeldia pagana, Polypedilum cultellatum és Synendotendipes lepidus), amelyeknek kevesebb, mint öt lelõhelyét ismertük Magyarországról. | In 2002 chironomid larvae were collected from 29 oxbows along the upper section of River Tisza. 33 chironomid taxa belonging 3 subfamilies were found (9 Tanypodinae, 1 Orthocladiinae, 24 Chironominae), among which 2 species (Chironomus pseudothummi and Synendotendipes impar) proved to be new to the Hungarian fauna. We gave the first record of Glyptotendipes viridis still 1900. New records are given for Ablabesmyia phatta, Monopelopia tenuicalcar, Chironomus cingulatus, Cryptochironomus supplicans, Dicrotendipes lobiger, Einfeldia pagana, Polypedilum cultellatum and Synendotendipes lepidus, which still were known from less than five localities in Hungary

Contribution to the aquatic beetle, aquatic and semiaquatic bug fauna of Hernád and its environments, NE Hungary (Coleoptera: Hydradephaga, Palpicornia; Heteroptera: Nepomorpha, Gerromorpha)

Collecting data of 76 species of water beetles (9 Haliplidae, 21 Dytiscidae, 2 Noteridae, 2 Gyrinidae, 2 Hydrochidae, 13 Helophoridae, 27 Hydrophilidae) and 20 species of water bugs (1 Mesoveliidae, 1 Hydrometridae, 1 Veliidae, 5 Gerridae, 2 Nepidae, 6 Corixidae, 1 Naucoridae, 2 Notonectidae, 1 Pleidae) are given from 27 localities in Hernád valley and its surroundings. Helophorus rufipes (Bosc d`Antic, 1791) is new to the fauna of Hungary

Refined position angle measurements for galaxies of the SDSS Stripe 82 co-added dataset

Position angle measurements of Sloan Digital Sky Survey (SDSS) galaxies, as measured by the surface brightness profile fitting code of the SDSS photometric pipeline (Lupton 2001), are known to be strongly biased, especially in the case of almost face-on and highly inclined galaxies. To address this issue we developed a reliable algorithm which determines position angles by means of isophote fitting. In this paper we present our algorithm and a catalogue of position angles for 26397 SDSS galaxies taken from the deep co-added Stripe 82 (equatorial stripe) images.Comment: 4 pages, 4 figures. Data are published on-line at http://www.vo.elte.hu/galmorp

Galaxy shape measurement with convolutional neural networks

We present our results from training and evaluating a convolutional neural network (CNN) to predict galaxy shapes from wide-field survey images of the first data release of the Dark Energy Survey (DES DR1). We use conventional shape measurements as ground truth from an overlapping, deeper survey with less sky coverage, the Canada-France Hawaii Telescope Lensing Survey (CFHTLenS). We demonstrate that CNN predictions from single band DES images reproduce the results of CFHTLenS at bright magnitudes and show higher correlation with CFHTLenS at fainter magnitudes than maximum likelihood model fitting estimates in the DES Y1 im3shape catalogue. Prediction of shape parameters with a CNN is also extremely fast, it takes only 0.2 milliseconds per galaxy, improving more than 4 orders of magnitudes over forward model fitting. The CNN can also accurately predict shapes when using multiple images of the same galaxy, even in different color bands, with no additional computational overhead. The CNN is again more precise for faint objects, and the advantage of the CNN is more pronounced for blue galaxies than red ones when compared to the DES Y1 metacalibration catalogue, which fits a single Gaussian profile using riz band images. We demonstrate that CNN shape predictions within the metacalibration self-calibrating framework yield shear estimates with negligible multiplicative bias, $m < 10^{-3}$, and no significant PSF leakage. Our proposed setup is applicable to current and next generation weak lensing surveys where higher quality ground truth shapes can be measured in dedicated deep fields