1 Dynamics of phytoplankton associations in three reservoirs in northeastern Brazil 2 assessed using Reynolds’ theory 3 4 Ênio Wocyli Dantas1,2, Maria do Carmo Bittencourt-Oliveira3, Ariadne do Nascimento 5 Moura2 6 7 1 8 Aplicadas – CCBSA, R. Monsenhor Walfredo Leal, nº 487, Tambiá, CEP 58020-540, João Pessoa, 9 Paraíba, Brazil; Phone: +55 83 3238 9236, E-mail: eniowocyli@yahoo.com.br Universidade Estadual da Paraíba - UEPB - Campus V, Centro de Ciências Biológicas e Sociais 10 2 11 Manoel de Medeiros, S/N, Dois Irmãos, CEP 52171-030, Recife, Pernambuco, Brazil; Phone: +55 81 12 3320 6350. 13 3 14 de São Paulo, Av. Pádua Dias 11, Piracicaba, SP, CEP 13418-900, Brazil; Phone: +5519-3429-4128. 15 Fax: +5519-3434-8295. Universidade Federal Rural de Pernambuco, Departamento de Biologia, Área de Botânica, R. D. Departamento de Ciências Biológicas, Escola Superior de Agricultura Luiz de Queiroz, Universidade 16 17 Running title: Phytoplankton associations in Brazilian reservoirs 18 19 Abstract: The aim of the present study was to evaluate the influence of seasonality on the 20 behavior of phytoplankton associations in eutrophic reservoirs with different depths in 21 northeastern Brazil. Five collections were carried out at each of the reservoirs at two depths 22 (0.1 m and near the sediment) at three-month intervals in each season (dry and rainy). The 23 phytoplankton samples were preserved in Lugol’s solution and quantified under an inverted 24 microscope for the determination of density values, which were subsequently converted to 25 biomass values based on cellular biovolume and classified in phytoplankton associations. The 26 following abiotic variables were analyzed: water temperature, dissolved oxygen, pH, 27 turbidity, water transparency, total phosphorus, total dissolved phosphorus, orthophosphate 28 and total nitrogen. The data were investigated using canonical correspondence analysis. The 29 influence of seasonality on the dynamics of the phytoplankton community was lesser in the 30 deeper reservoirs. Depth affected the behavior of the algal associations. Variation in light 31 availability was a determinant of changes in the phytoplankton structure. Urosolenia and 32 Anabaena associations were more abundant in shallow ecosystems with a larger eutrophic 33 zone, whereas the Microcystis association was more related to deep ecosystems with adequate 34 availability of nutrients. The distribution of Cyclotella, Geitlerinema, Planktothrix, 35 Pseudanabaena and Cylindrospermopsis associations was different from that seen in 36 subtropical regions and the substitution of these associations was related to a reduction in the 37 eutrophic zone rather than the mixture zone. 38 39 Keywords: eutrophic reservoir; functional groups; planktonic algae; seasonal dynamics; 40 water supply 41 42 1. Introduction 43 The composition and biomass of phytoplankton species in reservoirs depends on a complex 44 combination of factors, such as temperature, light, availability of nutrients and zooplankton 45 community. Reynolds et al. (2002) used these factors for the establishment of a functional 46 classification of algae capable of reflecting the ecology of the species. 47 Unlike what is found in temperate regions, tropical ecosystems exhibit a succession of 48 associations of cyanobacteria that often dominate an entire seasonal cycle (Marinho and 49 Huszar, 2002). According to Nabout et al. (2006), diatoms associations succeed those of 50 cyanobacteria during the time interval in which winds and rains cause instability in the 51 system. Soon afterward, filamentous cyanobacteria begin to co-dominate and, when the water 52 column is stabilized, coccoid cyanobacteria dominate. The different associations of diatoms 53 are related to the trophic state of the system, with algae related to oligotrophic (A), 54 mesotrophic (B and N) and eutrophic (C, D and P) ecosystems (Reynolds et al., 2002). 55 The majority of invasive algae that develop under conditions of abundant underwater 56 luminosity and nutrient availability are generally single-celled chlorophytes (X1) (Melo and 57 Huszar, 2000). In northeastern Brazil, there are reports of the predominance of chlorophytes 58 in the phytoplankton community under oligo-mesotrophic conditions (Dellamano-Oliveira et 59 al., 2003; Chellappa et al., 2008), especially functional groups X1 and J. 60 In subtropical regions, the considerable variation in temperature and other 61 environmental variables produces predictable changes in the composition of phytoplankton in 62 aquatic systems (Grover and Chrzanowski, 2006). In contrast, tropical regions exhibit little 63 annual temperature variation and successional changes in the algal community are the result 64 of seasonal rainfall patterns, with different algal structuring in the rainy and dry seasons 65 (Ibañez, 1998). In northeastern Brazil, the structure of the phytoplankton is formed by a single 66 group of taxa, for which only the biomass values oscillate throughout the year (Huszar et al., 67 2000; Moura et al., 2007a, b; Dantas et al., 2008). 68 Environmental conditions in tropical reservoirs are influenced by precipitation events, 69 which alter the volume and level of the ecosystem and are especially important to the 70 dynamics of the phytoplankton community. Greater algal biomasses occur when reservoir 71 levels are low and these algae are favored by thermal circulation and the re-suspension of 72 nutrients (Arfi, 2005). 73 Rainfall is an important factor to raising the level of aquatic systems and reducing 74 light availability and algal biomass. This consequently leads to changes in the composition of 75 different associations of algae in tropical systems (Chellappa et al., 2008; Dantas et al., 2008). 76 The aim of the present study was to investigate the seasonal and spatial variation in 77 phytoplankton associations in three reservoirs of different depths in northeastern Brazil, 78 relating these associations to abiotic variables. This study tests the following hypotheses: a) a 79 reservoir has vertical thermal patterns in function of depth that alter with the seasons; these 80 patterns are less variable in both shallow and deep reservoirs, whereas well-defined seasonal 81 patterns are expected in reservoirs of intermediate depth, with greater fluctuations in algal 82 biomass values and the structure of the phytoplankton associations; b) the availability of light 83 and nutrients varies in relation to depth and seasonality and is reflected in the succession of 84 the phytoplankton community; a greater limitation of light is expected in shallow reservoirs 85 and greater limitation of nutrients is expected in deep reservoirs, with different algal 86 associations in each ecosystem. 87 88 Materials and Methods 89 90 Study area 91 Three reservoirs were studied – Duas Unas and Tapacurá, located in the coastal zone, and 92 Jucazinho, located in the semi-arid hinterland of the state of Pernambuco, Brazil (Figure 1). 93 Table 1 displays the morphometric data and information on the use of the reservoirs. The 94 climate of the region has Köppen classification A (warm, wet pseudotropical) and is strongly 95 influenced by precipitation, with well-defined rainy (March to August) and dry (September to 96 February) seasons (Almeida et al., 2009). During the study period (March 2007 to May 2008), 97 atypical rainfall occurred in September 2007 and March 2008 and the rainy season had 98 generally southerly winds of lesser intensity (Figure 2). 99 Abiotic and biotic analyses 100 Sampling was carried out at three-month intervals over the course of one year (March 101 2007 to May 2008) at each reservoir. At the Duas Unas reservoir, the sampling site was 102 located at 8°04’58” S and 35°02’56” W and depth ranged from 5.2 to 9.1 m. At the Tapacurá 103 reservoir, the sampling site was located at 8°02’40” S and 35°11’22” W and the depth ranged 104 from 11.0 to 15.9 m. At the Jucazinho reservoir, the sampling was located at 7°58’53” S and 105 35°48’32” W and the depth ranged from 11.0 to 22.0 m. 106 Water samples for nutrient analysis and the investigation of the phytoplankton 107 community were collected with a 5-L vertical Van Dorn bottle (7.0-cm opening) from the 108 subsurface and approximately 1 m above the bottom (no light). Abiotic variables were 109 determined in situ and included water temperature and dissolved oxygen (Schott Glaswerke 110 Mainz, handylab OX1), turbidity (Hanna Instruments, HI 93703), pH (Digimed, DMPH-2), 111 water transparency (Secchi disc, 25 cm in diameter) and maximal depth (echo bathymeter). 112 The euphotic zone (Zeu) was determined based on Margalef (1983). The mixture zone (Zmix) 113 was estimated based on water column temperature and was considered equal to maximal 114 depth (Zmax) when there was no thermal gradient with a minimal difference of 0.5 °C.m-1. 115 For the determination of dissolved and total nutrients, water aliquots were placed in 300- 116 ml polyethylene flasks and kept refrigerated until analysis. Samples were filtered through 47- 117 mm AP20 glass multi-pore filters for the determination of orthophosphate and total dissolved 118 phosphorus. Non-filtered aliquots were used for the determination of total nitrogen and total 119 phosphorus. Analysis for the determination of concentrations of total nitrogen (μg.TN.L-1) 120 followed procedures described by Valderrama (1981). Total phosphorus (μg.TP.L-1) and total 121 dissolved phosphorus (μg.TDP.L-1) were determined following Valderrama (1981). 122 Orthophosphate (μg.P-PO4.L-1) was determined following Strickland and Parsons (1965). 123 The Carlson Trophic State Index adapted by Toledo Jr. et al. (1983) for tropical 124 regions was used for the trophic characterization of the ecosystems. Calculations were based 125 on Secchi disk values, total phosphorus and orthophosphate. Ultra-oligotrophic (≤ 20), 126 oligotrophic (21 to 40), mesotrophic (41 to 50), eutrophic (51 to 60) and hypertrophic ( 61) 127 conditions were then determined (Kratzer and Brezonik, 1981). Atomic total N/total P ratios 128 were calculated. 129 Samples were preserved in Lugol’s solution for taxonomic analysis. Identification was 130 performed down to species level using an optical microscope (Zeiss/ Axioskope) or to the 131 greatest possible taxonomic resolution using the relevant literature (Prescott and Vinyard, 132 1982; Komárek and Fott, 1983; Komárek and Anagnostidis, 1989, 1999, 2005; Popovský and 133 Pfiester, 1990; Krammer and Lange-Bertalot, 1991a, 1991b; Komárek and Cronberg, 2001; 134 John et al., 2002). 135 Aliquots of the samples collected with the Van Dorn bottle were stored in 200-mL 136 flasks and immediately preserved in Lugol’s solution for the subsequent phytoplankton count. 137 Counts were performed using an inverted microscope (Zeiss/ Axiovert) following the method 138 described by Utermöhl (1958). The biovolume of the species was calculated by the number of 139 cells and mean cell volume, which were determined using geometric models (Hillebrand et 140 al., 1999). Functional groups were established using the criteria proposed by Reynolds et al. 141 (2002) and Padisák et al. (2009). 142 143 Statistical methods 144 Analysis of variance (ANOVA) was used to determine seasonal and vertical 145 differences in abiotic and biotic variables (p < 0.05) using the BioEstat 5.0 program (Belém, 146 PA, Brazil). Canonical correspondence analysis (CCA) was performed to assess the 147 relationships between algal associations and environmental variables. In the multivariate 148 analysis, the matrix with biotic data was constructed with phytoplankton associations that 149 accounted for more than 5% of the total biomass per season and the abiotic variables were 150 log-transformed (x) and progressively reduced using the stepwise forward procedure available 151 on the Canoco 4.5 program (license number CAN6346) (ter Braak and Smilauer, 2002). The 152 significance of the variables that explained the variance in biotic data (p < 0.05) was 153 determined using the Monte Carlo test, with 999 unrestricted permutations. 154 155 Results 156 Physiochemical characteristics 157 Throughout the study, the reservoirs analyzed were warm (above 25° C) and eutrophic to 158 hypertrophic, with low N:P ratios (Figure 3). 159 The Duas Unas reservoir exhibited few vertical thermal differences (< 1 ºC) and 160 significantly more acidic (F=5.32, p<0.05) and turbid (F=18.69, p<0.01) waters in the rainy 161 season. There was a high concentration of total phosphorus (F=16.91, p<0.01) and dissolved 162 phosphorus (F=12.58, p<0.01) in the dry season, in which the euphotic zone was greater 163 (Figures 3 and 4). 164 The Tapacurá reservoir exhibited thermal mixture in the rainy season, when the water 165 column was oxygenated and turbid (F=9.73, p<0.05). Thermal stratification occurred in both 166 seasons and was accompanied by reductions in oxygen concentration in the hypolimnion as 167 well as an increase in phosphorus content, especially in the dry season (Figure 3). 168 At the Jucazinho reservoir, the water had neutral to alkaline pH and thermal 169 stratification occurred throughout the entire study. Hypoxia and anoxia occurred only at the 170 end of the dry season and beginning of the rainy season. Concentrations of total nitrogen 171 (F=8.11, p<0.05) were greater in the rainy season (Figure 3). 172 173 Phytoplankton community 174 The Duas Unas reservoir exhibited seasonal differences in biomass values (F=6.24, p<0.05), 175 whereas no seasonal variation occurred in the Tapacurá and Jucazinho reservoirs (Figure 4). 176 In the Duas Unas reservoir, the taxa with high relative biomasses were Anabaena sp. (H1), 177 Cylindrospermopsis raciborskii (Woloszynska) Seenaya and Subba Raju (Sn), Cyclotella 178 meneghiniana Kützing (C), Urosolenia eriensis (H.L. Smith) F.E. Round and R.M. Crawford 179 (A) and Synedra acus Kützing (D) in the dry season and Aulacoseira granulata (Ehrenberg) 180 Simonsen (P), Melosira varians C. Agardh (P), U. eriensis (A), Anabaena sp. (H1), 181 Cryptomonas ovata Ehrenberg (Y) and Cryptomonas sp. (Y) in the rainy season. However, 182 seasonal differences occurred in the D (F=34.53, p<0.001) and Sn (F=8.24, p<0.05) 183 associations, which had higher values in the dry season (Table 2). 184 In the Tapacurá reservoir, Microcystis aeruginosa (Kützing) Kützing (M), C. 185 raciborskii (Sn) and Woronichinia botrys (Skuja) Komárek and Hindák (Lo) had the greatest 186 biomasses throughout the entire study. Seasonal differences were marked by the greater 187 relative biomass of Microcystis flos-aquae (Wittrock) Kirchner (M) in the rainy season and 188 greater relative biomass of Anabaena spiroides Klebahn (H1), Geitlerinema amphibium (C. 189 agardhii) Anagnostidis (S1), A. granulata (P) and Synedra acus Kützing (D) in the dry season 190 (Table 2). 191 The phytoplankton community in the Jucazinho reservoir was composed of 192 filamentous cyanobacteria (Sn, S1 and H1 associations) and centric diatoms (C association). 193 These associations exhibited greater relative biomass in the dry season. Blooms of M. 194 aeruginosa and M. flos-aquae, both of which belong to the M association, occurred only in 195 one month of rainy season. 196 197 Canonical correspondence analysis 198 The Monte Carlo test revealed significant relations (p<0.05) between abiotic and biotic 199 variables. The CCA results reveal that depth, orthophosphate and total nitrogen were the main 200 determinants in the separation of samples on Axis 1. These variables differentiated the 201 reservoir with the least depth from the deeper reservoirs. A, C, D and H1 associations 202 exhibited a relation with samples from lesser depths and were abundant in the Duas Unas 203 reservoir. Lo and M associations were more abundant in the Tapacurá and Jucazinho 204 reservoirs (Figure 5, Table 3). 205 Mixture zone, turbidity and light availability were more related to Axis 2, contributing 206 toward the variation in temporal patterns. A and P associations exhibited a relation with 207 mixture and turbidity. C, D, S1 and Sn associations were more abundant with greater light 208 availability in the epilimnion (Figure 5). 209 210 Discussion 211 The phytoplankton biomass in the shallow Duas Unas reservoir demonstrated a relation with 212 seasonality, with higher values in the dry season. However, biomass values were lower than 213 those reported for shallow, eutrophic, subtropical lakes (Rücker et al., 1997; Honti et al., 214 2007) and other shallow tropical reservoirs with the same trophic state (Huszar et al., 2000; 215 Crossetti and Bicudo, 2008). 216 Low biomass values have been recorded in the shallow, eutrophic Juturnaíba reservoir 217 in southeastern Brazil (Marinho and Huszar, 2002). However, the greatest biomasses occurred 218 in the rainy season, when M, H1 and Sn cyanobacterial associations were abundant. Except 219 for M, these associations contributed most to the biomass during the dry season in the Duas 220 Unas reservoir. The lowest biomass values in this ecosystem occurred in the rainy season and 221 characterized by the presence of the diatoms A. granulata (P), M. varians (P) and U. eriensis 222 (A), the cyanobacteria Anabaena sp. (H1) and the phytoflagellates Cryptomonas sp. (Y) and 223 C. ovata (Y). All these associations have the ability to develop in shallow, mixed ecosystems, 224 such as the Duas Unas reservoir. 225 In the Jucazinho reservoir, which is a deep system, there was thermal stratification in 226 both the dry and rainy seasons. A large standard deviation was found in the biomass, with the 227 algal dynamics related to the variation in depth and the euphotic layer. The increase in depth 228 is explained by the input of water from rainfall, which was insufficient to produce thermal 229 circulation, but certainly contributed toward the input of nutrients, which were used by the 230 organisms. Thermal stratification affects the optic and nutrient behavior in an ecosystem and 231 favors the cyanobacteria better adapted to these conditions (Pennard et al., 2008) or small 232 diatoms (Winder et al., 2009). 233 The phytoplankton structure in the Jucazinho reservoir remained formed by S1 (G. 234 amphibium and P. agardhii), Sn (C. raciborskii) and H1 (A. constricta) cyanobacteria and a 235 C diatom (C. meneghiniana). In May 2008 (rainy season), when there was a change in the 236 Zeu/Zmix ratio, with limited light in the epilimnion, these associations were replaced by M. 237 aeruginosa (M), which had the greatest biomass values of the seasonal cycle (>70 mm3.L-1). 238 The greatest phosphorus concentrations (mean value between 670.0 μg.L-1 and 3522.0 μg.L-1) 239 were recorded in May 2008, coinciding with the smallest euphotic zone (1.05 m); this was the 240 only month in which the euphotic zone was smaller than the mixture zone. 241 The conditions in the Jucazinho reservoir contrast those found in the literature, which 242 justify the occurrence of S1 associations. In deep lakes, the occurrence of S1 filamentous 243 cyanobacteria, such as P. agardhii, is typical of mixed, turbid layers with considerably 244 deficient light and these organisms are often accompanied by C. raciborskii (Sn) and 245 Aphanizomenon gracile (Lemmermann) Lemmermann (H1). P. agardhii is more successful in 246 shallow, mixed ecosystems (Nixdorf et al. 2003). The behavior of the S1 association is 247 reported by a number of authors, who attribute its success to a smaller euphotic zone than 248 mixture zone (Melo and Huszar, 2000; Burford and O’Donohue, 2006; Babanazarova and 249 Lyashenko, 2007; Naselli-Flores and Barone, 2007). In the present study, the epilimnion was 250 small and the euphotic zone was larger than the mixture zone during the months in which the 251 S1 association exhibited high relative abundance. 252 A number of studies on subtropical and tropical ecosystems agree with the positioning 253 of the species C. raciborskii, which Padisák and Reynolds (1998) include in the Sn 254 association due to its ecological similarity with Oscillatoriales. The Sn association is found in 255 warm, mixed layers and is commonly cited for shallow ecosystems (Bouvy et al., 2000; 256 Huszar et al., 2000; Mischke, 2003; Stoyneva, 2003; Vardaka et al., 2005; Burford and 257 O’Donohue, 2006; Moura et al., 2007a). On the other hand, in studies on tropical and 258 subtropical Australian reservoirs, McGregor and Fabbro (2000) found that the greatest 259 abundance of C. raciborskii occurred in strongly stratified, deep ecosystems (>15 m); 260 according to the authors, this species commonly forms associations with Oscillatoriales, 261 especially Pseudanabaenaceae, in conditions of stratification. 262 The C diatom (C. meneghiniana) was well adapted to the conditions found in the 263 Jucazinho reservoir. However, the size class of this species is intermediate (15 μm and 40 μm) 264 and, according to Winder et al. (2009), is not correlated with stratification. 265 In a shallow lake in Germany, Wilhelm and Adrian (2008) observed the C association 266 in the onset of stratification and Babanazarova and Lyashenko (2007) report this association 267 together with filamentous cyanobacteria (S1). 268 The M association has been reported to be abundant in shallow lakes and eutrophic 269 reservoirs in Europe, occurring in periods of warm water temperature and small euphotic 270 layer (Naselli-Flores and Barone, 2003; Babanazarova and Lyashenko, 2007; Çelik and 271 Ongun, 2008). In shallow tropical reservoirs in Brazil, stratification, reduced transparency, 272 oxygen concentrations in the hypolimnion and an increase in pH are reported to be indicators 273 of an increase in the biomass of species of this association (Marinho and Huszar, 2002; 274 Crossetti and Bicudo, 2008; Fonseca and Bicudo, 2008). Although occurring in ecosystems 275 with greater depths in the present study, the environmental conditions are similar to those 276 found in other regions, which confirms the positioning of this association in tropical 277 reservoirs. 278 In the Tapacurá reservoir, which has an intermediate depth, there was thermal 279 variation throughout the year, with periods of stratification and mixture. However, this did not 280 contribute toward seasonal variation in the structure and behavior of the phytoplankton 281 biomass and Lo, M and Sn cyanobacterial associations predominated throughout the entire 282 year. The light deficiency in the epilimnion throughout the entire seasonal cycle certainly 283 contributed toward the success of these algae. Seasonality influenced the increase in biomass 284 and relative abundance of the M association in the rainy season. Lo and M associations, 285 formed by colonial species enveloped in mucilage, are capable of regulating their buoyancy 286 during phases of stratification and mixture (Fonseca and Bicudo, 2008), whereas the Sn 287 association is adapted to limited light conditions (Padisák and Reynolds, 1998). This certainly 288 contributed toward the vertical difference found throughout the study in the Tapacurá 289 reservoir. The conditions in this ecosystem are in agreement with the literature regarding the 290 occurrence of the Sn association (Padisák et al., 2009) and depth is certainly a limiting factor 291 for the consolidation of this association in tropical reservoirs. 292 The dynamics of algal associations is influenced by aspects of the food chain, 293 especially zooplankton (Reynolds et al., 2000; 2002). While some associations, such as those 294 formed by phytoflagellates, are more susceptible to this type of influence, associations of 295 filamentous and colonial cyanobacteria are favored. Phytoflagellate associations are 296 successful in the littoral region of reservoirs or in shallower ecosystems, in which the top- 297 down influence is lesser due to more frequent mixture events (Moura et al., 2007a). On the 298 other hand, the relative unpalatability of filamentous and colonial cyanobacteria may favor the 299 selection of other algae on the part of zooplankton, thereby maintaining the dominance of 300 cyanobacteria (Gragnani et al., 1999). However, the quantification of zooplankton could not 301 be performed in the present study, which hinders greater detailing of the top-down influence 302 in the algal associations. 303 From the results of the present study, the functional classification model appears to 304 function very well in shallow, tropical ecosystems, in which the effects of seasonality are 305 evident in the behavior of the algal biomass and structural changes in the phytoplankton. 306 Although determined by seasonality, the change in thermal behavior in the ecosystem with an 307 intermediate depth did not affect the biomass or restructuring patterns of the phytoplankton 308 community. Seasonality did not affect the phytoplankton dynamics in the deep reservoir and 309 divergences occurred in the use of algal associations. The depth of an ecosystem appears to 310 have a strong influence over the behavior of phytoplankton associations in tropical, eutrophic 311 reservoirs, whereas seasonality especially affects shallow lakes. Variations in the behavior of 312 the euphotic layer cause changes in the phytoplankton structure in the reservoirs of the state of 313 Pernambuco. 314 A and H1 associations were more abundant in the shallow reservoir with a greater 315 euphotic zone, whereas the M association was more related to the deep reservoir with an 316 adequate availability of nutrients. C, S1 and Sn exhibited different behavior in the shallow 317 and deep ecosystems. C and Sn associations occurred in the shallow ecosystem with thermal 318 mixture and exhibited seasonal variation in months with higher water temperatures. These 319 associations also occurred in the deep, stratified ecosystem, with no particular seasonal 320 variation. The S1 association was more related to the deep ecosystem, occurring under 321 conditions of stratification and adequate light availability in the epilimnion. The Tapacurá 322 reservoir united characteristics that favor the occurrence of the Sn association, which is in 323 agreement with the literature. The conditions in the Jucazinho reservoir may reflect a 324 distribution pattern of C, S1 and Sn associations in deep tropical ecosystems, in which 325 replacement may be related to the reduction in the euphotic layer rather than the mixture zone, 326 unlike what occurs in subtropical systems. The present study confirms the importance of 327 phytoplankton associations as indicators of the environmental conditions of tropical reservoirs 328 of different depths. 329 330 References 331 Almeida, V.L.S., Dantas, E.W., Melo-Júnior, M., Bittencourt-Oliveira, M.C., Moura A.N., 332 2009. Zooplanktonic community of six reservoirs in northeast Brazil. Braz. J. Biol. 69, 57-65. 333 Arfi, R., 2005. 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Sci. Ser. B 276, 427-435. 473 474 Figure Captions 475 Figure 1: Map and location of Duas Unas, Tapacurá and Jucazinho reservoirs, state of 476 Pernambuco, Brazil 477 Figure 2: Precipitation, wind intensity and direction in three reservoirs in state of 478 Pernambuco (Brazil) between March 2007 and May 2008; Legends: NE = northeast, E = east, 479 S = south, SE = southeast 480 Figure 3: Mean (columns), minimum and maximum values for (a) water temperature, (b) 481 dissolved oxygen (diss. O2), (c) pH, (d) turbidity, (e) total phosphorus (TP), (f) total dissolved 482 phosphorus (TDP), (g) orthophosphate (PO4), (h) total nitrogen (TN), (i) N:P ratio and (j) Trophic 483 State Index (TSI) in Duas Unas, Tapacurá and Jucazinho reservoirs, state of Pernambuco (Brazil) in 484 rainy (R) and dry (D) season 485 Figure 4: Euphotic zone (Zeu), Mixture zone (Zmix), maximal depth (Zmax) and variation in 486 phytoplankton biomass (mm3.L-1) in Duas Unas (A), Tapacurá (B) and Jucazinho (C) 487 reservoirs, state of Pernambuco (Brazil) between March 2007 and May 2008 488 Figure 5: CCA ordination among main algal association and significant abiotic variables in 489 three reservoirs in state of Pernambuco (Brazil); Abbreviations: TN = total nitrogen; PO4 = 490 orthophosphate; Turb = turbidity; ZeuZmix = euphotic zone/mixture zone ratio; Zmax = 491 maximal depth; Zmix = mixture zone; samples are identified with depth (S = surface; B = 492 bottom) and season in which collection was performed (R = rainy season, D = dry season)