scholarly journals Ecological and biological data on Cyanoprokaryota (Cyanophyta) of continental water bodies of Ukraine

Algologia ◽  
2014 ◽  
Vol 24 (2) ◽  
pp. 163-181 ◽  
Author(s):  
O.S. Gorbulin ◽  
Biologia ◽  
2014 ◽  
Vol 69 (7) ◽  
Author(s):  
Chryssa Anastasiadou ◽  
Christos Gkenas ◽  
Ifigenia Kagalou ◽  
Ioannis Leonardos

AbstractIn order to have a comprehensive evaluation and classification of the natural biota of Lake Pamvotis, the present study aims at investigating shrimps’ bionomic traits. Information on shrimps’ habitat preferences, abundances, and syntopic species in relation to the physicochemical profile of the lake’s water are investigated for the first time. The study was carried out on a bi-monthly base, at six littoral sites of the lake. Samples’ study from different habitats and seasons revealed that the freshwater shrimp Atyaephyra thyamisensis was the most abundant species, accounting for 44.76% of the total taxa catch, while the grass shrimp Palaemonetes antennarius was less abundant (7.54%). Syntopic fish species in the littoral zone of Lake Pamvotis such as Economidichthys pygmaeus, Gambusia holbrooki, Knipowitschia caucasica and Rutillus panosi showed interannual differences with abundances of 24.12%, 19.13%, 4.26% and 0.20%, respectively. Correspondence analysis revealed clear patterns between species and stations. A. thyamisensis was predominant in shallow, well oxygenated water bodies rich with aquatic vegetation, but it was absent from deeper habitats. P. antennarius was found mainly in lentic water bodies, rocky substratum and deeper habitats. Taking into account the high ecological importance of the freshwater shrimps in ecosystems’ energy flow, ecological and biological data of lake’s shrimps are discussed and presented thoroughly. Threats and conservation measures for both shrimp species are debated also in detail.


2008 ◽  
Vol 29 (4-5) ◽  
pp. 271-295 ◽  
Author(s):  
A. V. Kouraev ◽  
M. N. Shimaraev ◽  
P. I. Buharizin ◽  
M. A. Naumenko ◽  
J.-F. Crétaux ◽  
...  

1995 ◽  
Vol 52 (1-2) ◽  
pp. 158-159
Author(s):  
Margaret Greenway

Author(s):  
S. Lorite Martínez ◽  
J. Moreno Jabato ◽  
J. M. Garrido Sáenz de Tejada ◽  
B. Rodríguez-Cuenca

<p><strong>Abstract.</strong> The use of algorithms for automatic classification of aerial laser scanner 3D Point Clouds is the main process that improves its thematic quality. The main objectives of using 3D Point Clouds are the description of the surface and the detection of objects. The aim of this proposal for bridge and water detection algorithms is to increase the range and accuracy of the classification parameters of these products obtained with LiDAR technologies. With this methodology, the Digital Elevation Models (DEM) quality is improved and they are obtained by automated models of bridges and hydrography.</p><p>This paper describes a methodology to detect and classify bridges and continental water bodies in points using the properties of LiDAR technology such as radiometric and geometric variables implementing indexes like NDVI, NDWI or NFC. In addition, the Network of Roads and Hydrographic models in Spain are used to reduce the area of interest and errors. Part of the province of Teruel (Spain) has been used as study area.</p>


2014 ◽  
Vol 41 (9) ◽  
pp. 742-751 ◽  
Author(s):  
V. V. Anistratenko ◽  
E. V. Degtyarenko ◽  
O. Yu. Anistratenko ◽  
L. A. Prozorova

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