The results of field research at 230 river sections located throughout Poland were used to examine the possibility of predicting values of macrophyte metrics of ecological status. Artificial intelligence methods such as artificial neural networks were used in the modelling. The physicochemical parameters of water (alkalinity, conductivity, nitrate and ammonium nitrogen, reactive and total phosphorus, and biochemical oxygen demand) were used as the explanatory (modelling) variables. The explained (modelled) parameters were the Polish MIR (Macrophyte Index for Rivers), the British MTR (Mean Trophic Rank) and the French IBMR (River Macrophytes Biological Index). The quality of the constructed models was assessed using the normalized root mean square error (NRMSE) and the r-Pearson's linear correlation coefficient between variables modelled by the networks and calculated on the basis of the botanical research. These analyses demonstrated that the network modelling MIR values had the highest accuracy. The lowest prediction accuracy was obtained for MTR and IBMR indices. The differences between particular models are likely to result from better adjustment of the Polish method to local rivers (particularly in terms of indicator species used). ...
Macrophyte indices, as like Mean Trophic Rank (MTR), Macrophyte Biological Index for Rivers (IBMR), River Macrophyte Nutrient Index (RMNI), Reference Index (RI) and other are successfully used in evaluation of river ecosystems. They based on tolerance of particular vascular plants, mosses, liverworts and macroalgea on water trophy. Studied part of Noteć River was situated above Gopło Lake and accept mine waters discharge from open-pit mine Tomisławice. In the year 2012 the analyses of the impact of brown coal mine waters on Noteć River trophy were carried out. Several macrophyte indices were used and supported by chemical analyses in selected sites. For all sites earlier data were accessible and were used to comparisons. On the base of obtained results it was concluded, that the impact of mine waters trophic characteristics on macrophyte indices and water trophy was generally negligible. It was due to the small differences of trophy between river and mine waters and lack of sensitivity of macrophyte indices on lack of individual indicator species from the group of aquatic vascular plants. Yellow Water-lily was the wasted species and significant decrease of cover was found for other species without changes of macrophyte indices values. It showed to some extent lack ...
The development of vegetation in lotic waters, including macrophytes, is determined by diverse factors, including bottom substrate, flow velocity, and the width and depth of a channel, which are hydromorphological parameters. Macrophytes are higher plants of terrestrial origin which have undergone numerous adaptations enabling them to live in water (Stańczykowska, 1975). The aim of the study was to assess the effect of selected hydromorphological parameters of a watercourse on the species composition of macrophytes. The subject of the study was the Chechło River, a left tributary of the Vistula. The study was carried out in two adjacent segments of the watercourse, according to guidelines in the Macrophyte Index for Rivers (MMOR) and elements of the River Habitat Survey (RHS). The study revealed similar hydromorphological conditions in the two segments of the river, and the variation in the species composition of macrophytes in the two segments seems to be determined by other factors which were not the subject of the study. Among these, significant factors might include regulation works or the high water levels in the Chechło resulting from the construction of an impoundment. The plants identified in the two segments of the watercourse are species occurring commonly in Poland, ...
