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The changes in echolocation behaviour and the structure of calls ofPipistrellus pygmaeus (Leach, 1825) were studied in different habitats of a floodplain forest in south-eastern Moravia (Czech Republic) in 2001–2002. Calls (403 observations) were recorded in different sites between April and mid June (before weaning) using a time expansion bat-detector. Three signals per individual were analysed and descriptive statistics of variables of calls were presented. Association of signal types with habitat structure (cluttered, side-cluttered, semi-cluttered and uncluttered space) was found in echolocation sequences of the search phase of flight.P. pygmaeus used mainly narrowband signals (bandwidths less than 15 kHz) in uncluttered space and wideband signals (more than 15 kHz) in cluttered space. Almost 6% of the inter pulse intervals of signals were twice (or more) longer than usual inter pulse intervals (mainly in uncluttered space). In general, temporal variables of signals reached higher values in uncluttered spaces (except for inter pulse interval) than in cluttered ones. On the contrary, spectral variables of signals reached lower values in uncluttered habitats in comparison with cluttered ones. In addition, the signals were less variable in open spaces while in cluttered and partly-cluttered habitats different and higher variability was found. We also studied the accuracy of identification of pipistrelles by call parameters and possible misidentifications in relation to habitat structure. Multivariate discriminant analyses were carried out on the time and frequency parameters of calls produced by pipistrelles.
The identification of two cryptic bat species of the genus Pipistrellus using a non-destructive and quick method of multiplex PCR and agarose gel electrophoresis is described. Two primer combinations were able to produce species-specific bands that identified reliably individuals that were previously identified by mtDNA sequencing. Robustness of the method was subsequently successfully tested on 16 randomly selected free-living animals from central Europe (tissue samples obtained from a 3 mm punch of wing-membrane) identified to species on the basis of echolocation calls. Nine out of 15 museum specimens and 100% of fresh faecal samples from seven individuals were also successfully identified by this method. The described method thus provides a good way to routinely distinguish two Pipistrellus species by using non-destructive sampling of living individuals or droppings, and will be used in field studies of their ecology.
We studied the impact of road E461, Brno-Vienna, on bat mortality, with the goal to predict this impact after the road has been reconstructed and turned into highway, R52. In the Czech territory, two proposed road sections of E461 were selected, 3.5 and 4.5 km long, and divided into segments 100 m in length. Bat carcasses were picked up from emergency stopping lanes, and bat activity was recorded by ultrasound detectors along the road and 100 m away on both sides from the central strip. From May to October 2007, 25 checks of bat mortality performed at weekly intervals revealed 119 bat carcasses representing 11 or 12 species.Pipistrellus nathusii, P. pygmaeus andMyotis daubentonii were the most frequent traffic casualties. The greatest mortality was documented from early July to mid-October, with a peak in September. Monitoring bat activity by ultrasound detectors (one night per month in May, June and September) yielded 12 bat species and 3 species couples (Myotis mystacinus/brandtii, M. emarginatus/alcathoe, Plecotus auritus/austriacus), mostly the same taxa as found dead on the road. Significantly greater bat numbers were revealed in the section where the road was situated between two artificial lakes, as compared to a road section without any lakes directly adjacent to the road. In the former section, significant correlation was found between the number of carcasses found and the activity detected, according to road segments.
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