## 4 Results
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**CLASS**} & \multirow{2}{*}{**MAGNOLIOPSIDA**} & \multicolumn{4}{c}{**2015**} & \multicolumn{4}{c}{**2018**} \\ \cline{3-10}  & & \multicolumn{4}{c}{**Sectors**} & \multicolumn{4}{c}{**Sectors**} \\ \hline
**Families** & _Species_ & **PFR** & **R** & **RA** & **FR** & **PFR** & **R** & **RA** & **FR** \\ \hline \multirow{8}{*}{Rosaceae} & _Prunus avium_ & & & + & + & & + & + & \\  & _Pyrus communis_ & & + & + & & & + & + & \\  & _Rubus caesius_ & + & & & + & + & & & + \\  & _Rubus ideaus_ & & & + & + & & & + & + \\  & _Sanguisorba officinalis_ & + & & & & + & & & \\  & _Sorbus aucuparia_ & + & & + & + & & & + \\  & _Spirae media_ & & + & + & & & + & + & \\ \hline \multirow{8}{*}{Rubiaceae} & _Galium aparine_ & & & + & + & & + & + & + \\  & _Galium mollugo_ & & + & + & & & + & & \\  & _Galium pallustre_ & + & + & + & + & + & + & + & + \\  & _Galium sylaticum_ & & & & + & & & & + \\  & _Galium silginosum_ & + & & & & + & & & \\ \hline \multirow{8}{*}{Salicaceae} & _Populus tremula_ & + & + & + & + & + & + & + & + \\  & _Salix alba_ & & + & + & + & & + & + & + \\  & _Salix aurita_ & + & + & + & + & + & + & + & + \\  & _Salix caprea_ & + & + & + & + & + & + & + & + \\  & _Salix cinerea_ & + & + & + & + & + & + & + & + \\  & _Salix fragilis_ & & + & + & & & + & + & + \\  & _Salix pentandra_ & + & + & + & + & + & + & + & + \\  & _Salix purpura_ & & + & + & + & & + & + & + \\  & _Salix rosmarinfolia_ & & & + & & & & + & + \\  & _Salix viininals_ & & + & + & + & & + & + & + \\ \hline Sapindaceae & _Acer platanoides_ & & & & + & & & & + \\ \hline Scheuchzeriaceae & _Triglochin palustre_ & + & & + & & & & + & \\ \hline \multirow{8}{*}{Scrophulariaceae} & _Linaria vulgaris_ & + & & & + & + & & + \\  & _Melampyrum patense_ & & & & + & & & + \\  & _Rhinanthus serotinus_ & & + & + & & & + & \\  & _Scrophiluria nadosa_ & & + & + & & & & + & \\ \hline Solanaceae & _Solanum dulcamara_ & & & + & & & & + \\ \hline Ulmaceae & _Ulmus minor_ & & & & + & & & + \\ \hline Uricaceae & _Urtica dioica_ & + & + & + & + & + & + & + \\ \hline Valerianaceae & _Valeriana officinalis_ & + & & & & + & & \\ \hline Violaceae & _Viola reichenbachiana_ & & & + & + & & & + & + \\  & _Viola tricolor_ & & + & + & & & + & + & \\ \hline \multirow{2}{*}{**CLASS**} & \multirow{2}{*}{**LILIOPSIDA**} & \multicolumn{4}{c}{**2015**} & \multicolumn{4}{c}{**2018**} \\ \cline{3-10}  & & \multicolumn{4}{c}{**Sectors**} & \multicolumn{4}{c}{**Sectors**} \\ \hline
**Families** & _Species_ & **PFR** & **R** & **RA** & **FR** & **PFR** & **R** & **RA** & **FR** \\ \hline Alismataceae & _Alisma plantago-aquatica_ & + & + & + & + & + & + & + \\ \hline Araceae & _Calla plantris_ & + & & & & + & & \\ \hline Asparagaceae & _Maianthemum bifolium_ & & & + & & & + \\  & _Convallaria majalis_ & & & + & & & + \\ \hline \multirow{8}{*}{Cyperaceae} & _Convallaria majalis_ & & & & + & & & + \\ \cline{2-10}  & _Carex acutiformis_ & & + & + & & + & & \\ \cline{1-1}  & _Carex echinata_ & + & & & + & & & \\ \cline{1-1}  & _Carex elata_ & + & & & & & \\ \hline \end{tabular}
\end{table} 
Table 3: _Cont.__Water_**2019**, _11_, 290  
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**CLASS**} & \multirow{2}{*}{**LILIOPSIDA**} & \multicolumn{4}{c}{**2015**} & \multicolumn{4}{c}{**2018**} \\ \cline{3-10}  & & \multicolumn{4}{c}{**Sectors**} & \multicolumn{4}{c}{**Sectors**} \\ \hline
The Jaccard's species similarity coefficient for the studied phytocoenoses in shore sectors of Lake Piaseczno in 2015 varied from 0.26 (R-FR) to 0.84 (R-RA), and in 2018 from 0.26 (R-FR) to 0.76 (R-RA), for both study seasons, which usually oscillated around 0.3 (Table 5). This suggests diversity of flora within the study sectors in spite of the typological similarity of habitats. In the comparison of the study sectors in the 2015 and 2018 summer seasons, the Jaccard's similarity coefficient oscillated between