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Statistics of underwater acoustic signals scattered by the rough water surface covered with a layer of oil substances

100%

Pogorzelski S. J.

tom 27

Characteristics of backscattered ultrasonic signals from the floor of the southern Baltic

100%

Tegowski J.

tom 38

nr 1

Evaluation of energy-consumption in the vehicles of EU international communication infrastructure

84%

Burski Z. , Mijalska-Szewczak I.

tom 08a

Assessment of habitat conditions using Self-Organizing Feature Maps for reintroduction/introduction of Aldrovanda vesiculosa L. in Poland

67%

Kosiba P. , Mroz L. , Kaminski R.

nr 2

The study objects were Aldrovanda vesiculosa L., an endangered species and fifty five water sites in Poland. The aim of the present work was to test the Self-Organizing Feature Map in order to examine and predict water properties and type of trophicity for restoration of the rare plant. Descriptive statistical parameters have been calculated, analysis of variance and cluster analysis were carried out and SOFM model has been constructed for analysed sites. The results of SOFM model and cluster analysis were compared. The study revealed that the ordination of individuals and groups of neurons in topological map of sites are similar in relation to dendrogram of cluster analysis, but not identical. The constructed SOFM model is related with significantly different contents of chemical water properties and type of trophicity. It appeared that sites with A. vesiculosa are predominantly distrophic and eutrophic waters shifted to distrophicity. The elevated model showed the sites with chemical properties favourable for restoration the species. Determined was the range of ecological tolerance of the species in relation to habitat conditions as stenotopic or relatively stenotopic in respect of the earlier accepted eutrophic status. The SOFM appeared to be a useful technique for ordination of ecological data and provides a novel framework for the discovery and forecasting of ecosystem properties constituting a validation of the SOFM method in this type of studies.

Metody statystyczne w sterowaniu jakoscia procesow technologicznych [1]

67%

Czyzewski B.

tom 42

nr 02

22-26