Journal of Applied Sciences Research, 5(12): 2083-2095, 2009 © 2009, INSInet Publication Assessment of Nile Water Quality via Phytoplankton Changes and Toxicity Bioassay Test 1 Shehata, S.A., 1 Badr, S.A., 1 Ali, G.H., 1 Ghazy, M.M., 2Moawad, A.K. and 1Wahba, S.Z. 1 Water Pollution Research Department, National Research Centre, Cairo, Egypt 2 Faculty of Engineering, Al Azhar University, Egypt. Abstract: Changes of phytoplankton density along the river Nile have been monitored at Cairo district between July 2007 and June 2008. River Nile water contains algal species belonging to three major phytoplankton groups, namely; Chlorophyta (green algae), Cyanophyta (blue-green algae) and Bacillariophyta (diatoms). A total of 90 taxa have identified during the study period July 2007 to June 2008. Out of which 38 taxa belonging to Chlorophyta, 36 taxa of Bacillariophyta and 16 of Cyanophyta. Phytoplankton seasonal succession was dominated by diatoms. High species diversity was detected in green algae group (0.64-1.19) followed by diatoms (0.41-1.0) then blue-green algae (0.34-0.73). The diversity of the three algal groups indicated that the river Nile water is oligotrophic. These results confirmed by those results obtained from toxicity bioassay using Daphnia magna. The density of total phytoplankton numbers fluctuated between 10 6 – 10 7 Organism/ml. The Concentration of chlorophyll "a" was ranged from 11.7 – 52.7 µg/L. Significant correlation was established between total algal counts and chlorophyll "a" content. Key words: River Nile W ater, Phytoplankton, Algal Count, Chlorophyll "a", Diversity, Redundancy, Toxicity Bioassay Test, Daphnia magna. INTRODUCTION The Nile system consists principally of three main streams; the W hite Nile and Blue Nile rivers, whose combined waters flow for 3080 Km as the main Nile from Khartoum (Sudan) to the Mediterranean Sea. The creation of Lake Naser has had a markedly effect on the river downstream by regulating flows and by modifying the biological characteristics of water. River Nile is considered to be the life line of Egypt. After High Dam construction, water of river Nile is held enough to permit significant changes in phytoplankton population [1 ,2 ,3 ,4 ]. Human activity has altered the landscape over centuries, resulting in substantial loss of habitat and aquatic diversity [5 ]. Broad-scale environmental pressures such as agriculture, point and non-point source of pollution, climate change and land-use change overlap in space and time, requiring that stress measures incorporate assessment of cumulative impacts across multiple stressors [6 ,7 ,8 ] . Biological assemblages are important sentinels of environmental conditions, since they are more sensitive to the combined effect of stressors than to a single stressor [9 ,1 0 ]. Therefore, they integrate cumulative impact that would not be detected in another way or that would be other wise underestimated (e.g., habitat degradation, highly Corresponding Author: variable pollution levels due to point and non-point pollution). W orldwide aquatic ecosystem has been impacted by the excessive release of pollutants, leading to phytoplankton blooms and to the disruption of the structure and functioning of these systems [1 1 ,1 2 ,1 3 ]. The growing need to analyze the present state of ecosystem and monitor and predict their rate of change has triggered a demand for studies that explore species environment relationships and use these relationships for assessing a nd p red icting changes under anthropogenic influence [1 4 ,1 5 ,1 6 ]. The development of indicator systems based on species environment relationships has became a widely used approach for these tasks [6 ,1 4 ]. Building on this, long tradition of using organisms in monitoring and assessment programs. The European Commission issued a directive mandating the use of different organism groups to monitor the integrity of inland waters and coastal regions. The W ater Framework Directive (W FD- 2000/60/EC) requires the use of different organism groups such as fish, invertebrates, macrophyts and phytoplankton, either singly or together, in assessing the ecological status of aquatic ecosystems. Chemical substances which affect the quality of water are numerous, act in a great range of concentration and vary continuously and erratically in Salwa A. Shehata, Water Pollution Research Department, National Research Centre, Cairo, Egypt. E-mail: s_a_shehata@yahoo.com 2083 J. App. Sci. Res., 5(12): 2083-2095, 2009 concentration. The attempt to establish criteria in terms of chemicals toxicity to aquatic organisms may exceed the capability of adequate testing due to the large number of toxic compounds, the vast numbers of biotic species, the effects of interaction among compounds and the wide range of effect produced by variations in physical and chemical condition [1 7 ]. Therefore, the main objectives of the present investigation are: 1. To assess the water quality of the river Nile using phytoplanktonic community structure changes. 2. To evaluate the alternation in algal diversities and relative proportion of the nuisance algae. 3. To assess the safety of Nile water quality via toxicity bioassay test using Daphnia magna. M ATERIAL AND M ETHODS Sampling Site: Subsurface water samples were collected from the main sources of drinking water in Egypt (River Nile). W ater samples were collected at monthly intervals for one year (July 2007-June 2008). Study area of the river Nile is located in Helwan and Cairo districts along @ 45 Km. Six sampling sites were chosen (Fig. 1) as follows: H1= C 1= H2= C 2= H3= C 3= 3- Diversity and Redundancy: Two community composition parameters namely diversity (H`) and redundancy index (R) were estimated according to W ashington’s equation [2 2 ]. Diversity was estimated using the following equation H` = - W here: S: number of taxa samples ni : number of individuals. N: Samples size In addition redundancy (or dominancy) index (R) was estimated for each group using the following equation: R = where: H` (max/S) and (min/S) are maximum and minimum values of H` at given S. Toxicity Bioassay Test: Toxicity assessments were performed using acute toxicity tests for 48 hrs. of Nile water at the sampling sites on the water flea, Daphnia magna in optimal and standardized conditions in laboratory. El-shobak intake of El-Fostat water works infront of Iron and Steel Factory intake of El-Giza water works intake of Kafer El-Elow water works intake of Rod El-Farag water works P hy t o p la nkto n P a r a m e ter s : E n um e ra tio n o f phytoplankton, quantification of chlorophyll “a” concentration and phytoplankton productivity were accomplished according to Standard Methods [1 8 ]. 2.1- Phytoplankton Enumeration and Taxonomic Identification: The phytoplankton present in the Nile water samples were concentrated by means of Sedgwick-Rafter [1 9 ]. Nile water algae were identified up to the species level according to the key of freshwater algae [2 0 ,2 1 ]. The number of phytoplanktonic organisms present in the sample was calculated according to Standard Methods [1 8 ]. 2.2- Chlorophyll Content: A spectrophotometric measurement of absorbance and optical density at three different wave lengths was the method adapted for estimation of chlorophyll extracted via organic solvents according to Standard Methods [1 8 ]. The clear extract was transferred to a 1-Cm cuvette and absorbencies were determined via a UV-VIS Recording Shimadzu Spectrophotometer Model (UV-2401 PC). Culture: Daphnia magna (Crustacea, Cladocera) used in the experiments originated from stocks maintained for several years in the laboratory in a synthetic freshwater medium [2 3 ]. This medium is characterized by pH 7.9, conductivity 260 µmhos, alkalinity 34 mg/L (as CaCO 3 ) and total hardness 90 mg/l (as CaCO 3 ). The animals were cultured and undergone toxicity at 22±2 o C on a 16:8 hrs. light: dark photoperiod. They were fed with unicellular green alga namely; Scenedesmus obliquus three times a week for rearing. The alga was grown in the culturing medium recommended by APHA [1 8 ]. Short Term (48h Acute) Test: Forty-eight hour acute (static system) toxicity tests were conducted with less than 24hr old D aphnids. Each of the tests was replicated three times and started with 10 Daphnids in 100 ml of the holding medium introduced in 250- ml glass beaker. Mortality was recorded at 48h. Death was defined as the lack of mobility in response to prodding with a probe during a 5 seconds observation period. Toxicity tests were run without food addition as recommended by the standard toxicity testing [1 8 ]. 2084 J. App. Sci. Res., 5(12): 2083-2095, 2009 1 & Fig. 2). On the other hand, these algal species number represents 42.2%, 40% and 17.8% of total algal species number respectively. C om m on and Significant River N ile. Algae Taxa C hlorophyta (G reen A lgae) Actinastrum hantzschii Ankistrodesm us acicularis Ankistrodesm us falcatus Botryococcus braunii Chlam ydomonus variabills Closterium pronum Chodatella cillata Coelosterum m icroporum Crucigenia rectangularis Cosmarium bioculatum Table 1: Species of A lgae along the Algae Taxa Selenastrum gracile Spirogyria m irabits Sphaerocystis schroeteri Staurastrum paradoxum Tetraedron minim um Tetraedron muticum U lothrix subitllssim a C y a n o p h y ta (B lu e-G reen A lgae) Anabaena flos-aqua D ictyosphaerium pulchellum G olenkinia radiata Chrococcus turgids Chrococcus lim neticus Coelosphaerium kuetzingianum Cylindrosperm um stagnale Kirchneriella lunaris D actylocoleobsis rhaphidioides M icracitinum pusillum M ougeotia scalaris G om phaspheria aponina G om phaspheria naegeiiania Nephrocytium lum atum O ocystis lacustris O ocystis parva O ocystis solitaria Pediastrum boryanum Pediastrum clathratum Pediastrum duplex Pediastrum sim plex Pediastrum tetras Pediastrum gracillium Lyngbya martonsiane M erismopedia elegans M icrocystis aeruginosa M icrocystis flos-aqua O scillatoria chlorina O scillatoria lim entica O scillatoria lim osa Eudorina elegans Fig. 1: Location map of the river Nile showing Sampling sites. Scenedesm us acum inatus Scenedesm us obliquus Scenedesm us platydiscus Scenedesmus quadricauda Calonies am phisbaena Ceratium hirundinella Cocconies placentula Cyclotella comta Cyclotella glom erata Cyclotella antigna Cym atopleura solea Cym bella trugida D iatom a elongatum RESULTS AND DISCUSSION C o m p o s it io n a n d S e a s o n a l S u c c e s s i o n o f Phytoplankton: Phytoplankton composition of the River Nile contained algal species belonging to three algal groups, namely; Chlorophyta (green algae), Cyanophyta (blue-green algae) and Bacillariophyta (diatoms). A total of 90 algal species were recorded, out of which 38 taxa belonging to Chlorophyta, 36 taxa of Bacillariophyta and 16 species of Cyanophyta (Table Spirulina abbreviate Bacillariophyta (D iatom s) Achnanthes lanceolata Am phora coffeaeform is Asterionella gracillim a Navicula Navicula Navicula Navicula Navicula cuspidata exigua bacillum gastrum cryptoccephala Nitzschia Nitzschia Nitzschia Nitzschia Nitzschia acicularis filiform s holostica linearis paradoxa Epithem ia sorex Fragilaria capucina Fragilaria construens G om phonema olivaceum G yrosigm a scalproides G yrosigm a attenuatum G yrosigm a kutzingii M elosira granulata 2085 peridinium cinctum pinnularia borealis pleurosigm a delicatulum Stauraneis phoeniotroa Stephanodiscus dubius Surirella ovalis Synedra ulna J. App. Sci. Res., 5(12): 2083-2095, 2009 Fig. 2: Seasonal change in phytoplanktonic species number along the river nile. 2086 J. App. Sci. Res., 5(12): 2083-2095, 2009 Diatoms were the most dominant and diversified group present in good numbers during four seasons especially in fall and winter seasons followed by green algae. Blue-green algae were presented in small number during different seasons (Fig. 3). Among the diatoms, Cyclotella comta was the most dominant throughout the year, other important centric diatoms was Melosira granulata. Pinnate diatoms were dominated by Diatoma elongatum and Synedra ulna. In general terms, the diatoms found are characteristic of eutrophic water bodies and most are recorded as halophytic which preferring alkaline waters [2 4 ], which correspond to the conditions of relative high pH in the river Nile. The green algae were dominated by small planktonic Chlorococcales belonging to the genera; Scenedesmus, Ankistrodesmus, Botroyococcus and Dictyoshaerium. Cyanophyta rarely grew to significant concentration except during periods of high temperature in spring and summer seasons (Fig. 4). The numbers of genera or species of Nile water algae that are responsible for causing serious problems in water works are relatively high. Some genera of diatoms are significant in this respect and certain green algae and blue-green algae are also important (Table 2). M axim um V alues of N uisance Algae m ost Frequently recorded in the River N ile W ater D uring the Study Period Algal species M axim um value (O rg./m l ) Green Algae Ankistrodesmus spp. 521 Scenedesm us spp. 309 U lothrix subitllssim a 273 D ictyospharum pulchellum 198 Blue-green A lgae M erismopedia elegans 322 M icrocystis flos-aqua 339 O scillatora lim netica 339 Coelosphaerium kuetzingianum 166 D iatom s Cyclotella spp. 11220 M elosira granulata 2429 D iatom a elongatum 1785 Stephanodiscus dubius 1562 Synedra ulna 1562 Nitzschia spp. 245 Table 2: Konno [2 5 ] observed that slender type diatoms Nitzschia and Synedra causing filter clogging in rapid sand filtration systems and the settling velocity is related to the physiological conditions of the algae. C y a n o p h yta o fte n d o m in a te th e fre s h -w a te r phytoplankton community in surface waters, particularly in eutrophic system and are major producers of toxins as well as taste and odor compounds [2 6 ]. Changes in Phytoplankton Density: Clear variability was found in total algal numbers during different investigated seasons (Fig. 3). The algal counts ranged from 2246 to 21245 Org./ml with maximum attained during fall and winter seasons dominated with species belonging to diatoms which favorite low temperature. O ¢ Farrell [2 7 ] studied the phytoplankton community structure and dynamics of Salado River during 18 months (1987-1989). He found that, the abundance ranged from 2722 Org./ml (1988) to 498094 Org./ml (1989). The increase in total phytoplankton number in Nile water mainly attributed to diatoms which represents 75% - 97.8% of total algal counts and dominated by centric form and secondarily by pinnate form (Figs. 57). Green algae restricted their growth to the spring season and comprise about 20% of total algal counts. Fortunately, blue-green algae rarely grew to significant numbers during the investigated period. Blue-green algae had its maximum density in summer season with 8% of total algal counts (Fig. 5). Generally, the presence of high proportion of diatoms in Nile water algae (Figs. 6&7) indicated that, water works will expect to expose frequent taste and odor problems and reduction in filter runs (Table 2). Changes in Species Diversity and Redundancy: The structure of phytoplankton community can be summarized clearly and briefly in diversity and redundancy index derived from information theory. Values less than 1.0 have been obtained in heavy polluted areas, while values from 1 to 3 in moderate polluted areas and values exceeding 3 obtained in clean areas. Therefore, changes in species diversity and redundancy can be used as an indicator of changes in water quality. During study period Nile water was characterized by high species diversity in green algae (0.64-1.2) followed by diatoms (0.41-1.0), then bluegreen algae (0.34-0.73) Table (3). Monthly diversity value of blue-green algae remained almost constant and varied between (0.34-0.73). However, the low diversity associated with high redundancy (1.0) due to the dominance of Merismopedia elegans (Table 4). Accordingly, throughout the study period the diversity of the three algal groups indicted that the River Nile waters at different study sites are oligotrophic [2 8 ]. Stvenson and W hite [2 9 ] recorded that, phytoplankton diversity changed with water quality, decreasing with nutrient enrichment and increasing with conditions that probably changed. Chlorophyll "a" Content: The concentration of chlorophyll "a" ranged from 11.7 to 52.7 mg/l (Fig. 8). The high value was detected during winter season at site C 2 due to the abundance of diatoms species. However good relationship between phytoplankton and chlorophyll "a" content were established indicating that physiological state of River Nile phytoplanktonic algae 2087 J. App. Sci. Res., 5(12): 2083-2095, 2009 Fig. 3: Distribution pattern of algal groups along the river nile during different seasons. Fig. 4: Dominant and Significant Algal Species of River Nile During Years (2007-2008). 2088 J. App. Sci. Res., 5(12): 2083-2095, 2009 Fig. 5: Percentage of various algal groups from total algal counts during different seasons. 2089 J. App. Sci. Res., 5(12): 2083-2095, 2009 Fig. 6: Monthly changes in pinnate and centric forms of diatoms at helwan district. Fig. 7: Monthly changes in pinnate and centric forms of diatoms at cairo district. 2090 J. App. Sci. Res., 5(12): 2083-2095, 2009 Fig. 8: Relationship between total algal count and chlorophyll ‘a’ content. Fig. 9: Evaluation the effect of raw nile water at different sites using daphnia magna is in good condition. Similar results was obtained by Shehata et al.[3 ] who found that, chlorophyll "a" content ranged from 4.2-34.2 mg/l for River Nile water. In winter season biomass achieved its maximum due to the abundance of diatoms species. In addition, good co rrelation between phytoplankton counts and chlorophyll "a" contents. Also, Shehata et al.[4 ] found that chlorophyll "a" concentration ranged between 11.8-37.2 mg/l. However, the highest value of chlorophyll "a" was found at December 2000 for River Nile water. This is due to the presence of high count of filamentous forms of diatoms namely; Melosira spp. which contain high chlorophyll "a" content. Havens [3 0 ] recorded that, the maximum chlorophyll "a" concentration was more 40 mg/l at eutrophic Lake at Florida. In addition, he found a good relation between chlorophyll "a" concentration and algal bloom frequencies. 2091 J. App. Sci. Res., 5(12): 2083-2095, 2009 Table 3: Changes in D iversity (H \ ) at D ifferent Sites of River N ile G reen A lgal Sites ---------------------Seasons H1 H2 H3 C1 C2 C3 Sum m er 2007 1.00 1.00 0.96 1.00 1.00 1.07 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Full 2007 1.09 1.00 0.78 0.90 0.97 0.96 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------W inter 2008 0.92 0.91 0.73 0.64 0.93 0.74 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Spring 2008 1.19 1.18 0.90 0.99 1.07 1.00 Blue-green A lgae Sites ---------------------Seasons H1 H2 H3 C1 C2 C3 Sum m er 2007 0.63 0.56 0.58 0.54 0.60 0.58 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Full 2007 0.57 0.55 0.56 0.46 0.46 0.53 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------W inter 2008 0.56 0.49 0.34 0.46 0.59 0.46 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Spring 2008 0.73 0.72 0.62 0.54 0.68 0.60 D iatom s Sites -------------------Seasons H1 H2 H3 C1 C2 C3 Sum m er 2007 0.67 0.68 0.61 0.59 0.65 0.63 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Full 2007 0.62 0.64 0.59 0.61 0.66 0.68 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------W inter 2008 0.46 0.58 0.46 0.49 0.50 0.41 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Spring 2008 1.00 0.69 0.62 0.68 0.82 0.69 Total A lgae Sites ---------------------Seasons H1 H2 H3 C1 C2 C3 Sum m er 2007 0.96 1.00 0.86 0.82 0.88 0.93 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Full 2007 0.76 0.74 0.74 0.66 0.84 0.88 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------W inter 2008 1.01 0.71 0.60 0.69 0.69 0.65 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Spring 2008 1.07 1.05 0.94 1.00 0.95 0.98 Table 4: Changes in R edundancy ® at D ifferent Sites of River N ile. G reen A lgal Sites --------------------Seasons H1 H2 H3 C1 C2 C3 Sum m er 2007 0.39 0.63 0.0 0.0 0.51 0.0 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Full 2007 0.70 0.77 0.80 0.30 0.77 0.32 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------W inter 2008 1.0 1.0 1.0 1.0 1.0 1.0 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Spring 2008 0.0 0.0 0.27 0.05 0.0 0.23 2092 J. App. Sci. Res., 5(12): 2083-2095, 2009 Table 4: C ontinue Blue-green A lgae Sites --------------------Seasons H1 H2 H3 C1 C2 C3 Sum m er 2007 0.60 0.66 0.13 0.04 0.36 0.16 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Full 2007 0.95 0.72 0.70 0.97 1.0 0.49 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------W inter 2008 1.0 1.0 1.0 1.0 0.40 1.0 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Spring 2008 0.0 0.0 0.0 0.0 0.0 0.0 D iatom s Sites ----------------------Seasons H1 H2 H3 C1 C2 C3 Sum m er 2007 0.64 0.08 0.09 0.48 0.54 0.16 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Full 2007 0.74 0.47 0.14 0.36 0.48 0.30 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------W inter 2008 1.0 1.0 1.0 1.0 1.0 1.0 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Spring 2008 0.0 0.0 0.0 0.0 0.0 0.0 Toxicity Bioassay Test: Acute toxicity tests with aquatic invertebrates such as those based on mortality of the water flea, Daphnia magna are reliable and sensitive tests to monitor contaminant trends in water quality and to determine toxicity of complex effluents discharged into aquatic systems. Fig. (9) indicated that River Nile waters are oligotrophic, except site (H 3 ) down stream of industrial area in June 2008. The water collected from this site cause acute toxicity to the test organism, Daphnia magna where 57 % mortality was recorded. This may be due to the discharge of toxic industrial waste or accidental effect from oil pollution. However, next month the water recovered and the mortality rate decreased to reach 13%. This indicated that the River Nile has ability to recover from pollutants by self-purification. Gustavson et al. [1 7 ] recorded that bioassays have been extensively used to document toxicity of surface water and evaluate the potential toxicity of waste discharges into these waters. Conclusion: The total algal counts of the River Nile has considerably changed during different seasons and increased one tenfold at winter season. Enumeration of algae in surface water samples is often a necessary part of water quality monitoring and algal research. Algal counts are more reliable to predict the type of drinking water treatment steps for overcoming the planktonic algae. R e c o m m e n d a tio ns: R egular m o n ito r in g o f phytoplankton populations in drinking water sources as well as toxicity bioassay test are necessary to understanding the development of phytoplankton community structure and the status of Nile water quality. Also, to select water treatment schemes for overcoming Nile water algae. ACKNOW LEDGM ENT This study was carried out within framework of the project entitled "Algal Removal from Drinking W ater Sources" with collaboration between Holding Company for Water & W astewater and National Research Center. This project has been funded by the Holding Company for W ater and W astewater. Also, the authors are deeply indebted to Prof. Abd-El Kawi Khalifa, Charmin of Holding Company for Water and W astewater for sponsoring this research work. REFERENCES 1. 2. 3. 4. 2093 Ramadan, F.M ., S.A. Shehata, 1976. Early changes in phytoplankton of Nile water (1965-1974). Symposium on Nile water and lake Dam projects. National Research Center, Cairo., March, 1-4. Shehata, S.A., M.R. Lasheen, S.A. Bader and A.A. A shm awy, 1995. “Seaso nal Variations in Phytoplankton Diversity and Metals in Sediments of River Nile, Cairo, Egypt.” J. Appl. Sci., 10(7): 573-587. Shehata, S.A., S.A. Bader and S.Z. W ahba, 1997. Planktonic Composition of the River Nile at the Intake of El-Giza W aterworks." Egypt. J. Appl. Sci., 12(12): 389-412. Shehata, S.A., G.H. Ali and S.Z. W ahba, 2008. Distribution Pattern of Nile W ater Algae with Reference to its Treatability in Drinking W ater. J. of Applied Sciences Research, 4(6): 722-730. J. App. Sci. Res., 5(12): 2083-2095, 2009 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. Young, J., A. W att and P. N owicki, 2005. Towards sustainable land use: identifying and managing the conflicts between human activities a n d bio diversity co nservatio n in E uro p e . Conservation Biology, 14: 1641-1661. Dziock, F., K. Henle, F. Foeckler, K. Follner and M. Scholz, 2006. Biological indicator systems in floodplains – a review - International Review of Hydrobiology, 91(4): 271-291. Brazner, J.C., N.P. Danr, G.J. Niemi, R.R. Regal, A.S. Trebitz, R.W . Howe, J.M . H anovski, L.B. Johnson, J.J.H. Ciborowski, C.A. Johnton, E.D. Reavie, V.J. Brady and C.V. Sgro, 2007. Evaluation of geographic, geomorphic and human influences on Great Lakes wetland indicators: a multiassemblage approach. Ecological Indicators, 7: 610-635. Danz, N.P., G.J. Niemi, R.R. Regal, T.P. Hollenhorst, L.B. Johnson, J.M . Hanowski, R.P. Axler, J.J.H. Ciborowski, T. Hrabik, V.J. Brady, J.R. Kelly, J.A. Morrice, J.C. Brazner, R.W . Howe, C.A. Johnston and G.E. Host, 2007. Integrated measures of Anthropogenic Stress in the U .S . G re a t L a k e s B a s i n . E n v iro n m e n ta l Management, 39: 631-647. Karr, J.R., 1995. Using biological criteria to protect ecological health. In: Rapport, D.J.; Goudet, C. and Calow, P. (Eds.), Evaluating and monitoring the health of large scale ecosystems. Springer Verlog, New York, 137-152. Niemi, G.J. and M.E. McDonald, 2004. Application of ecological indicators. Annual Review of Ecology and Systematic, 35: 89-111. Robarts, R.S., 1985. Hypertrophy, a consequence o f d eve lo p m en t. In tern atio nal Jo urna l of Environmental Studies, 12: 72-89. Reynolds, C.S., 1992. Eutrophication and the m a n a g e m e n t o f p la n k to n i c a l g a e : w h a t Vollenweider couldn’t tell us. Eutrophication: research and application to water supply. (Eds D.W . Sutcliffe & J.G. Jones), pp 4-29. Freshwater Biological Association, Ambleside, Cumbria. Vasconcelos, V.M., 2001. Toxic freshwater cyanobacteria and their toxins in Portugal. In: I. Chorus, Editor, Cyanotoxins—Occurrence, Effects, Controlling factors, Springer, Berlin, 64-69. Statzner, B., B. Bis, S. Dolédec and P. UsseglioPolatera, 2001. Perspectives for biomonitoring at large spatial scales: a unified measure for the functional composition of invertebrate communities in European running waters. Basic and Applied Ecology, 2: 73-85. 15. Sim boura, N ., P. P anayotid is and E. Papathanassiou, 2005. A synthesis of the biological quality elements for the implementation of the European W ater Framework Directive in the Mediterranean ecoregion: the case of Saronikos Gulf, Ecological Indicators, 5(3): 253-266. 16. Ekdahl, E.J., J.L. Teranes, C.A. W ittkop, E.F. Stoermer, E.D. Reavie and J.P. Smol, 2007. Diatom assemblage response to Iroquoian and Euro-Canadian eutrophication of Crawford Lake, Ontario, Canada. J. of Paleolimn., 37: 233-246. 17. Gustavson, K .E., S.A. Sonsthagen, R.A. Crunkilton, J.M. Harkin, 2000. Groundwater Toxicity Assessment Using Bioassay, Chemical, and Toxicity Identification Evaluation Analyses. Environmental Toxicology, 15(5): 421-430. 18. Standard methods for water and wastewater examination 1998. 20 th ed. APHA. AW W A. W PCE, N.W . W ashington. 19. Standard methods for examination of water, sewage and industrial wastes 1965. 11 th Ed. APHA. Inc., N.Y. 20. Streble, H. and B. Krauter, 1978. Das leben in wassertropfen mikroflora und mikrofauna des subwasser, Ein Bestimmungsbucn mit 1700 Abbildungen stultart. 21. Komärek, J.T. and B. Fott, 1983. Das phytoplankton des Subwasser, systematik und Bioloogie. Chlorophyceae. Stuttgart. 22. W shington, H.G., 1984. Diversity, biotic and similarity indices: a review with special relevance to aquatic ecosystems. W ater Res., 18: 653-694. 23. Fayed, S.E. and M.M. Ghazy, 2000. Toxicity monitoring of water supplies using Daphnia magna Straus. Pol. Arch. Hydrobiol., 47(2): 171-188. 24. W olf, H., 1982. Methods of coding of ecological data from diatoms for computer utilization. Model Rijks. Geol. Dienst, 36(2): 95-110. 25. Konno, H., 1993. Settling and coagulation of slender Type Diatoms. W at. Sci. Tech. W STED4, 27(11): 231-240. 26. Codd, G.A., S.G. Bell and W .P. Brooks, 1989. Cyanobacterial toxins in water. W ater Sci. Technol., 21: 1-13. 27. O¢Farrel, I., 1993. Phytoplankton ecology and limnology of the Salado River (Buenos Aires, Argentina). Hydrobiologia (Neth), 271: 169. 28. Patrick, R., 1973. Use of algae especially Diatoms in the assessment of water quality. In: Biological methods for the assessment of water quality, ASTM stp. 528, American Society for Testing and Materials, 76-95. 2094 J. App. Sci. Res., 5(12): 2083-2095, 2009 29. Stevenson, R.J. and K.D. W hite, 1995. A comparison of natural and human determinants of phytoplankton communities in the Kentucky River basin, USA. Hydrobiologia, 297(3): 201-216. 30. Havens, K.E., 1994. Relationships of annual chlorophyll a means, maxima, and algal bloom frequencies in a shallow eutrophic lake (Lake Okeechobee, Florida, USA). Lake Reserve. Manage., 10(2): 133-138. 2095