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The paper presents the current state of knowledge of the family Protoplophoridae and results of its critical taxonomie and nomenclature analysis. One subfamily, two genera, one subgenus and three species are synonymised. Arthroplophorinae Mahunka, 1994 with Protoplophoridae Ewing, 1917, the genus Tauroplophora Gordeeva, Niemi et Petrova-Nikitina, 1998 with Grandjeanoplophora Balogh et Mahunka, 1979, the genus Archaeoplophora Subias et Arillo, 2002 with genus Protoplophora Berlese, 1910, the subgenus - Siciliophora Bernini, 1983 with Prototritia (Berlese, 1916) and the species: Arthrhoplophora berlesei Mahunka, 1977 with Arthrhoplophora vulpes Berlese, 1916, Aedoplophora africana Mahunka, 1977 with Prototritia armadillo (Berlese, 1916) and Cryptoplophora asiatica Gordeeva, Niemi et Petrova-Nikitina, 1998 with Cryptoplophora abscondita Grandjean, 1932. At present the family is represented by 28 species from the 10 following genera: Cryptoplophora Grandjean, 1932, Bursoplophora Subias et Perez-Inigo, 1978, Aedoplophora Grandjean, 1932, Arthroplophora Berlese, 1910, Hauseroplophora Mahunka, 1977, Prototritia (Berlese, 1916), Protoplophora Berlese, 1910, Csibiplophora Mahunka, 1984, Grandjeanoplophora Balogh et Mahunka, 1979, Neoprototritia Shereef, 1978. Diagnoses of all taxa are given. A key for identification of the genera and species is proposed.
Full detailed descriptions of the two species of Obtusoecia, one of two planktonic halocyprid ostracod genera that are bipolar, demonstrate that the taxonomic separation of these two forms formerly considered to be conspecific, is valid. The segregation of the genus from Porroecia is also validated. The value of characters of limbs other than the first and second antennae particularly in defining halocyprid genera is emphasised. Zoogeographical distributions of the two species based on comprehensive compilations of both published and unpublished data show that O. obtusata is confined to the North Atlantic, whereas O. antarctica has an Antarctic circumpolar distribution. Detailed bathymetric profiles show that O. obtusata is a shallow mesopelagic species that is overwhelmingly dominant at depths of 50-200 m in subpolar seas, and shows limited ability to submerge at lower depths, so that it is restricted to seas that have a marked seasonal cycle of turn-over and stratification. It is postulated that the bathymetric distributions of the two species are similar, also that O. antarctica is more likely to be ancestral to O. obtusata than vice versa.
Zoographical distribution of metazoan fish parasites in herring, Clupea harengus, from the Baltic Sea was analysed in order to use them as potential biological indicators. A total of 210 herring from six different sampling sites were investigated, harbouring 12 different parasite species [five digeneans (D), one cestode (C), three nematodes (N) and three acanthocephalans (A)]. The distribution of the parasite species differed according to region, with a distinct gradient of decreasing species richness towards the east of the Baltic Sea. The western localities at Kiel Bay, Rügen and Poland had the highest parasite diversity, including the marine parasite species Anisakis simplex (s.s.) (N), Brachyphallus crenatus and Hemiurus luehei (both D). The eastern localities had low parasite species richness, predominated by the freshwater digenean Diplostomum spathaceum. We could identify three different Baltic herring stocks, the spring-spawning herring of the western Baltic reaching from the Kattegat to the German and Polish coast, the stock of the central Baltic proper and the northern stock of C. harengus var. membras of the Gulf of Finland. The limited distribution of the herring parasites within the Baltic Sea enables their use as biological indicators for migration patterns and stock separation. The acanthocephalan Pomphorhynchus laevis that has already been used as an accumulation bioindicator for heavy metals was only recorded for the western herring stocks. However, the presence of mainly generalistic parasites and their uneven distribution patterns make their use as indicators for regional environmental and global change more difficult.
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