About the program

Welcome in our site. This program was design in order to help phytoplakton ecologiest to evaluate their samples with Morfo- Functional Groups(FG) approach. Please note this is a testing time!. The approach is based on the phytoplankton associations described for lakes and rivers. All phytoplankton associations were evaluated and scored by a number between 0-5. Highest values were given to those assemblages that represent natural or good status or a favourable condition. To achieve an index, each species in the sample must be assigned to the appropriate functional group. Then the relative share of each functional groups are calculated. Relative shares are then multiplied by the factor number. The sum of these scores is the index. The method has been tested with hundreds of phytoplankton samples, it is simple, and after applying to a phytoplankton database can be computerised easily. This application is free for all algologist to test our assessment method, which is used in currently in the Hungarian National monitoring. To cite this program use the research gate link.

Gábor Várbíró and Gábor Borics
Department of Tisza Research,
Danube Research Institute
Hungarian Academy of Sciences
Centre for Ecological Research
H-4026 Debrecen 18/c Bem Sq.
Phone: +36-87-448 244
Fax..: +36-87-448 006


The evaluation of the taxalist based on algae counts. We suggest to use the Utermöhl (1958) method to quantify phytoplankton, performed with an inverted microscope (Olympus CK2) using 10-40× objectives. The counting unit should be individum (unicell, coenobium, filament or colony). In each sample, at least 400 sedimentation units should counted (Lund et al., 1958). The biomass could be determined by specific biovolume, where the dimensions of each taxon were based on multiple measurements. Biomass should be expressed in fresh weight by the equation: 1mm3L-1=1 mgL-1 (Holmes et al., 1969).

The testing procedure:
If you register you can store your own samples.
1. Insert a new sampling location.
2. Insert a new sampling event
3. Add the taxalist to the event

Basically the program calculate biomass for all taxa based on the observed individuum and the average biovolume stored in the database, but you can add your own biovolume information, or even the measured total biomass for each taxa. The priority of calculation: if biomass is filled, then this value will be used, if alga counted number and own biovolume is filled (counted number* own biovolume) will be used, if only counted number is filled(counted number* average biovolume) will be used.

Phytoplankton taxa were classified into FGs according to Reynolds et al. (2002), Borics et al. (2007) and Padisák et al. (2009); and later in the future into MFGs using proposals of Salmaso and Padisák (2007); and into MBFGs applying Kruk et al. (2010).


Utermöhl, H., 1958. Zur Vervollkommnung der quantitativen Phytoplankton-Methodik. Mitt. Int. Ver. Theor. Angew. Limnol. 9, 1-38. doi:citeulike-article-id:377423.
Salmaso, N., Padisák, J., 2007. Morpho-Functional Groups and phytoplankton development in two deep lakes (Lake Garda, Italy and Lake Stechlin, Germany). Hydrobiologia 578, 97-112. doi:10.1007/s10750-006-0437-0.
Reynolds, C.S., Huszar, V., Kruk, C., Naselli-Flores, L., Melo, S., 2002. Towards a functional classification of the freshwater phytoplankton. J. Plankton Res. 24, 417-428. doi: 10.1093/plankt/24.5.417
Reynolds, C.S., 2005. Expert judgement of phytoplankton composition - functional groups, in: Solheim, A.L. (Ed.), Reference conditions of European lakes: Indicators and methods for the Water Framework Directive assessment of reference conditions. REBECCA, version 5: 2005/30/12, pp. 90-104.
Padisák, J., Crossetti, L., Naselli-Flores, L., 2009. Use and misuse in the application of the phytoplankton functional classification: a critical review with updates. Hydrobiologia 621, 1-19. doi:10.1007/s10750-008-9645-0.
Padisák, J., Borics, G., Grigorszky, I., Soróczki-Pintér, É., 2006. Use of phytoplankton assemblages for monitoring ecological status of lakes within the Water Framework Directive: The assemblage index. Hydrobiologia 553, 1-14. doi:10.1007/s10750-005-1393-9.
Kruk, C., Huszar, V.L.M., Peeters, E.T.H.M., Bonilla, S., Costa, L., Lürling, M., Reynolds, C.S., Scheffer, M., 2010. A morphological classification capturing functional variation in phytoplankton. Freshwater Biol. 55, 614-627. doi:10.1111/j.1365-2427.2009.02298.x.
Abonyi, A., Leitão, M., Lançon, A.M., Padisák, J., 2012. Phytoplankton functional groups as indicators of human impacts along the River Loire (France). Hydrobiologia 698, 233-249. doi:10.1007/s10750-012-1130-0.
Borics, G., Várbiró, G., Grigorszky, I., Krasznai, E., Szabó, S., Kiss K.T., 2007. A new evaluation technique of potamo-plankton for the assessment of the ecological status of rivers. Arch. Hydrobiol. Suppl., 161:3-4. Large Rivers, 17, 465–486.
Stanković, I., Vlahović, T., Gligora Udovič, M., Várbíró, G., Borics, G., 2012. Phytoplankton functional and morpho-functional approach in large floodplain rivers. Hydrobiologia 698, 217-231.
Várbíró, G., Ács, É., Borics, G., Érces, K., Fehér, G., Grigorszky, I., Japport, T., Kocsis, G., Krasznai, E., Nagy, K., Nagy-László, Z., Pilinszky, Z., Kiss, K.T., 2007. Use of self organizing maps (SOM) for characterization of riverine phytoplankton associations in Hungary. Arch. Hydrobiol. 161, 383-394.
Várbíró, G., Borics, G., Csányi, B., Fehér, G., Grigorszky, I., Kiss, K.T., Tóth, A., Ács, É., 2012. Improvement of the ecological water qualification system of rivers based on the first results of the Hungarian phytobenthos surveillance monitoring. Hydrobiologia 695, 125-135. doi:10.1007/s10750-012-1120-2.