Printer Friendly

Changes in phytoplankton composition in response to tides, wind-induced mixing conditions, and freshwater outflows in an urbanised estuarine complex/Variacoes na composicao da comunidade fitoplanctonica em resposta as mares, a mistura induzida pelo vento e a descarga de agua doce em um sistema estuarino urbanizado.

1. Introduction

Understanding how changes in environmental conditions are capable of driving phytoplankton dominance is key for comprehending coastal dynamics and to develop environmental monitoring programmes. Changes in phytoplankton taxonomic composition, in a given time and place, are well documented and are manifestations of the adaptive strategies and modes of nutrition of occurring species (e.g. Margalef, 1997). In shallow estuaries, short-term and transient gradients of river outflows (Acha et al., 2008), tide regimes, vertical mixing and turbidity (Baek et al. 2008), and nutrient inputs (Heil et al. 2005; Glibert et al., 2006), especially in areas with intense human occupation, hamper the attempts for structure determination of phytoplankton communities, either taxonomic or as functional groups. Human induced eutrophisation can trigger harmful algal blooms, so the development of conceptual models for phytoplankton dominance is imperative (Cloern, 1996). Furthermore, environmental policies demand quantitative assessments of variables altered by increasing urbanisation and their potential relationships to bloom-forming phytoplankton growth conditions (Whitea et al., 2004; Burkholder et al., 2006).

The relationships between increase in both input and residence times of anthropogenic nutrients in estuarine systems and enhancements of phytoplankton biomass are well documented (e.g., Pinckney et al., 2001). Studies in costal regions, influenced by estuaries, show that inputs of nutrients drive changes on the frequency of local algal blooms (Glibert et al., 2006), with occasional changes in taxa that may even include potential harmful species (harmful algal blooms-HABs--Hallegraeff, 2004; Zingone and Enevoldsen, 2000; Heil et al., 2005), but in many regions of the coastal oceans, the available information is not enough to link the occurrence of HABs and anthropogenic effects (Anderson, 2008).

Highly urbanised coastal areas are influenced by domestic and industrial sewage, often mixed with pollutants and a range of dissolved and particulate materials and the effects of these mixtures on phytoplankton composition are still little understood (Thomas et al., 1980; Walter et al., 2002). Anthropogenic activities in coastal areas can alter the overall freshwater inputs to estuaries (Paerl et al., 1998) as well, which may drive additional changes of phytoplankton community structure (Kimmerer, 2002; Hallegraeff, 2004).

The Estuarine complex of Santos (SE Brazil) (Figure 1) receives pollutants from petrochemical and fertiliser plants (Braga et al., 2000) and high concentrations of nutrients and organic matter (Moser et al., 2004; Aguiar and Braga, 2007). The literature shows high ammonium, phosphate and chlorophyll concentrations in the Santos estuarine complex year round (Gianesella et al., 2000; Aguiar and Braga, 2007), and the occurrence of local summer Skeletonema cf. costatum blooms have been associated with increases in light availability resulting from enhanced vertical stability (Moser et al., 2005). During the winter months, passages of atmospheric cold frontal systems increase wave energy in Santos bay and adjacent sand beaches, leading to blooms of Asterionellopsis glacialis to occur (Villac and Noronha, 2008). To date, there are no conceptual relationships developed among freshwater inputs, tides and wave action on phytoplankton species composition for the Santos estuarine complex area.

[FIGURE 1 OMITTED]

Important changes, driven by human impacts in the past decade, are documented for Santos bay and adjacent estuaries, which include a growing volume of domestic sewage disposal and continuous dredging of bottom sediments from the Santos estuarine channel (Schmiegelow et al., 2008). Recent phytoplankton taxonomic surveys report increases in both occurrence and abundance of potentially harmful and mixotrophs dinoflagellates such as Dinophysis acuminata and a number of species from the Prorocentrum genera (Villac et al., 2008).

In this study we discuss the relationships of bloom-forming microphytoplankton abundances in an urbanised estuarine complex (Santos bay, Brazil), systematically observed during distinct tides, wind-induced mixing conditions, and freshwater outflow episodes, in the summer and winter months of 2006 and 2007. Our goals were to develop a preliminary conceptual model of phytoplankton dominance in a highly impacted subtropical estuarine complex and to identify scenarios for potential growth of bloom forming microphytoplankton species.

2. Material and Methods

Santos bay has an average depth of 9.3 m and an area of 44.45 [km.sup.2], and is semi-open to the Atlantic Ocean. Gradients of water temperature between winter and summer are in the order of 4.5[degrees]C. Precipitation rates are significantly higher in the summer, and wind velocities are higher during winter (Harari et al., 2008). Tides are semi-diurnal and are of less than a metre in amplitude, but together with remote (mesoscale) winds, control the dynamics of local water masses and vertical mixing (Alfredini et al., 2008).

The sampling design used in the present study consisted of eight surveys in Santos bay, performed during March 2006 and March 2007, and during August 2006 and September 2007, to represent the end of summer and winter, respectively. In each selected month, two 10-hour surveys were conducted during spring (ST) and neap tides (NT) (as shown in Table 1), sampling a grid of 16 stations (Figure 1). Two vessels were used simultaneously to minimise sampling time.

Mesoscale wind speeds and current velocities were modelled hourly for each month of observation, using the National Centre for Environmental Prediction/National Centre for Atmospheric Research model (NCEP/NCAR, Kalnay et al., 1996). In situ precipitation rates were obtained from a gauge station, located at 23[degrees]57' S and 46[degrees]18' W. Wind and precipitation rates model outputs and in situ data, respectively, were averaged for a period of 5 days (four prior the samplings) to minimise the influence of short-term events. Wind direction is presented as N-S and E-W components.

Vertical profiles of temperature and salinity were obtained for stations located above the 10 m isobath with a CTD (Seabird, Seacat). Water transparency was estimated with a Secchi disk. Water samples were collected with clean plastic buckets at the surface, and at 1-2 m above the bottom using horizontal van Dorn bottles. Samples were analysed for salinity, total and organic particulate matter (PM and POM) concentrations, chlorophyll-a concentration, and microphytoplankton composition and enumeration. Discrete surface and near-bottom salinity samples were measured with an AUTOSAL salinometer (Beckman RS10). The instantaneous degree of vertical mixing was estimated by differences in salinity measured near bottom and at the surface ([DELTA]S).

From 250 to 500 mL were filtered, immediately after sampling, onto pre-dried and weighted Whatman GF/F filters, for quantification of particulate matter (mg.[L.sup.-3]). Filters were kept in the dark in tightly sealed containers containing silica gel pellets until laboratory analysis for total (PM) and organic suspended particulate matter (POM) by the gravimetric method (APHA, 1985).

A volume of 250 mL of sample was concentrated on GF/F filters, and stored in liquid nitrogen immediately after filtration for quantification of chlorophyll-a concentration (chl, mg.[m.sup.-3]). The filters were extracted at -10[degrees]C, for at least 24 hours, in pre-cooled 90% acetone: DMSO solution (6:4 by volume) (Shoaf and Lium, 1976). Chlorophyll was measured in a routinely calibrated Turner Designs Trilogy fluorometer, following the method proposed by Welschmeyer (1994).

Phytoplankton composition were analysed only in surface samples, from aliquots of 100 ml, preserved with buffered formaldehyde (0.4 % final concentration) and stored at room temperature in the dark. Sub samples of 10 to 25 mL were placed in sedimentation chambers (Utermohl, 1958) and phytoplankton was identified and enumerated under an inverted light microscope (Zeiss, Axiovert) at 400x magnification. At least 200 cells were counted for microphytoplankton (Lund et al., 1958), identified according to Tomas (1997) and Tenenbaum et al. (2004). Species were considered abundant when their observed numbers were above the mean of a particular cruise in at least 55% of the stations (Lobo and Leighton, 1986), in this case in 9 of the 16 stations.

For the statistical analyses, density of abundant phytoplanktonic organisms were grouped according to i) tidal conditions: neap and spring tides; ii) time of the year: summer and winter seasons; and iii) year of survey: 2006 and 2007. One-way ANOVA tests were applied to log-transformed cell density data ([log.sub.10] x + 1), after a priori homogeneity test. Results from ANOVA were tested a posteriori with a Tukey test (Zar, 1999). Spearman correlation tests were applied to the entire data set (Table 1) to detect significant correlations (p < 0.05) between abundant species and environmental data. A Canonical Correspondence Analysis (CCA) was applied to verify the relationships between the density of abundant microphytoplanktonic species and the complementary observed variables, after log-transforming the data (Table 1). A Monte Carlo permutation test, followed by a stepwise forward selection was carried out to determine the significance of the correlations between the environmental and species data. The analyses were carried out with the CANOCO software package, version 4.0.

3. Results

In most surveys, weak to moderate northern winds (around 2.5 m.[s.sup.-1]) prevailed during the 5-day window preceding the samplings. Southern winds were observed in March 2006 NT and in August 2006 ST surveys (Figure 2), and both September 2007 surveys, moderate easterly winds were unusually persistent. Hereafter, the individual surveys will be identified as their respective months and years, followed by NT or ST to discriminate between neap and ST.

Precipitation rates were low during the March surveys (mean values bellow 6 mm.[day.sup.-1], see Table 2), except for the ST survey of 2007, when values were closer to the summer climatology (about 30 mm.[day.sup.-1]) (DAEE, 2009). In all winter surveys (August 2006 and September 2007), average precipitation rates were also lower than climatological values, 15 mm.[day.sup.-1] (DAEE, 2009).

Salinities were generally higher than 30 except during September 2007, when values were below 28 (Figure 3); salinities were also low in near bottom waters during September 2007-NT. Higher salinity was observed in March 2006-ST, and a clear vertical salinity gradient (AS) was observed during both March 2007 surveys. Salinity was not directly related to precipitation rates, with high values observed following rainy events, in March 2006 and 2007 (as shown in Table 2 and Figure 3), but were negatively correlated to winds from EW quadrant, and positively correlated to the vertical salinity gradient (AS) (Table 3).

Secchi disk depths were around 2 m for all surveys, with slightly more transparent waters observed during March 2007-NT, when salinities varied from 31 to 32 (Figure 3). The highest total particulate matter (PM) of 109.3 mg.[L.sup.-1] was detected in August 2006 ST. Low PM values were observed in all NT surveys (Figure 3). In both September 2007 observations, PM were about one third of the remaining surveys, followed by an increase of the relative contribution of POM, notably during that of the NT. Percentage of POM were positively correlated to southern winds, chlorophyll-a and suspended matter concentrations. Chlorophyll concentrations varied from 1.1 mg.[m.sup.-3] (March 2006 NT) and 37.9 mg.[m.sup.-3] (August 2006-NT), and were positively correlated to salinity and PM.

During all surveys, a total of 159 microphytoplankton taxa were found, and 59% were diatoms. Leptocylindrus minimus, Thalassiosira sp.1, Pseudo-nitzschia species (complex Pseudonitzschia seriata--sensu Hasle, 1965), Guinardia striata, Chaetoceros species, Skeletonema cf. costatum, Hemiaulus hauckii, and Navicula sp.1 occurred in all surveys, and abundances of the first five were positively correlated to chlorophyll-a concentration (Table 3). The second most abundant microphytoplankton group was dinoflagellates (29%), with Prorocentrum minimum, Prorocentrum gracile, Scrippsiella trochoidea and Gymnodinium sp.1 also present in all surveys (Table 4). The remaining groups (19 taxa) were silicoflagellates, ciliophora, microphytoplanktonic flagellates and cyanobacteria (in decrescent order of numerical importance). Diatoms (chain-forming centric and pennate of the complex Pseudo-nitzschia seriata --sensu Hasle, 1965 and some dinoflagellates species (Prorocentrum minimum and Scrippsiella trochoidea) were generally observed in high densities during NTs, when chlorophyll-a concentrations were also high (Figure 3).

One-way ANOVA tests applied to the densities of abundant microphytoplankton and using as discrimant factors: tide (Neap x Spring); seasons (summer x winter), and year (2006 x 2007); showed significant differences (p < 0.05) between years (number of samples = 126; F = 11.8; p = 0.0008) and to a lesser extent between tides (number of samples = 126; F = 13.79; p = 0.0003), showing no seasonal significant variability. These results were confirmed with a posteriori Tukey tests.

[FIGURE 2 OMITTED]

Both spearman correlations (Table 3) together with CCA analysis (Figure 4) suggested that five groups with distinct microphytoplanktonic dominance, as well as chlorophyll-a and PM and POM values, could be related to salinity, tides, precipitation rates, and wind direction and speed (Tables 4 and 5; Figure 5).

Group 1 (surfers), composed by Asterionellosis glacialis (surf zone diatom-Group 1) was abundant in 2 of our 8 observations, August 2006 NT and ST surveys. Abundances increased when southern winds prevailed (notably in August 2006-ST). Wind speeds were above 5 m.[s.sup.-1] in several occasions resulting from the passage of an intense and persistent atmospheric cold front. PM also increased, probably from bottom sediments resuspension.

Group 2, composed of larger diatoms, Hemiaulus hauckii and Guinardia flaccida, called here sinkers, was abundant in 4 of our 8 observations March 2006-NT, March 2006-ST, March 2007-ST and August 2006-NT. Moderate north winds and rainfall, as observed in March 2006 and March 2007, were associated with high abundances of Hemiaulus hauckii and Guinardia flaccida, notably during STs. Both chain forming diatoms with large cell-sizes (diameter > 10 [micro]m). Guinardia flaccida highest densities were observed in August 2006, NT, associated with winds from North and ressuspension, as observed for Asterionellopsis glacialis.

[FIGURE 3 OMITTED]

Group 3, composed of Leptocylindrus minimus, Thalassiosira, Guinardia striata and several Chaetoceros and Pseudo-nitzschia, opportunistic mixers, was observed in higher densities in 3 surveys, March 2006-NT, March 2007-NT and August 2006-NT, associated with higher precipitation rates in March surveys. These small to medium-size chain-forming diatoms were positively correlated to precipitation rates and North winds. They were abundant in both NT surveys during March 2006 and August 2006, when chlorophyll concentration was also high. These species were also present in all March 2007 and September 2007 surveys, but the highest densities were observed in March 2006 and March 2007 NT surveys, associated with northern quadrant winds and high precipitation rates.

Group 4, composed by mixotrophic dinoglagellates (Dinophysis acuminata and Gymnodinium speciesj, a flagellate (Chattonella cf. antiqua) and a pennate diatom (Navicula sp.), was abundant in 2 surveys, March 2006, NT and ST, probably due to ressuspension and associated with a higher POM contribution to PM, since the higher densities were observed in stations 1, 4, 5 and 8, near the estuarine channel mouth. Dinophysis acuminata, treated individually, occurred in 3 situations, March 2006 NT, and September 2007, spring and NTs, with higher densities in the last surveys, associated with E winds and estuarine discharge (lower salinity values). Dinophysis acuminata, Chattonella cf. antiqua and Gymnodinium species were positively correlated to East and West winds. The lowest salinities in both September 2007 surveys, accompanied an overall decrease in microphytoplankton densities and chlorophyll-a concentrations, as well (as shown in Tables 2 and 4 and also in Figure 3), while POM contribution to PM were the highest of all surveys. Precipitation rates previous to September 2007 observations were low, but eastern winds favour estuarine discharge.

Group 5, Skeletonema cf. costatum, Prorocentrum minimum, Prorocentrum gracile and Scrippsiella trochoidea, local mixers, was abundant in all surveys, and higher densities were attained in March 2006, NT conditions, high salinity and strong North winds.

[FIGURE 4 OMITTED]

4. Discussion

4.1. Patterns for species composition

Santos bay has an average depth of only 9.5 m, thus wind and tide-driven currents force local transport of dissolved and particulate materials (Geyer, 1997; Durand et al., 2002). Due to the south orientation of Santos bay opening, shifts in wind direction will influence turbulence levels, circulation patterns, and modify estuarine outflows. Our observations showed that changes in chlorophyll-a concentration followed closely the abundances of microphytoplankton species, especially during NTs at the end of summer, always with dominance of diatoms. Previously described mechanisms linking vertical mixing and consequent light availability to local phytoplankton abundance were not always repeated (e.g. Moser et al., 2004; Moser et al., 2005). Nonetheless, the observed contribution of diatoms, dinoflagellates and other phytoplanktonic groups (silicoflagellates, ciliophora, microphytoplanktonic flagellates, and cyanobacteria) to the overall phytoplankton community richness were similar to world coastal seas (Sournia et al., 1991), and systems with large inputs of nutrients (Muylaert et al., 2009).

[FIGURE 5 OMITTED]

Responses of plankton communities to short-term physical fluctuations allow many species to coexist, but even in a rapidly changing environment, a specific phytoplankton group can dominate. Diatoms have a number of physiological adaptations for local vertical mixing (Cullen and Mclntyre, 1998). The dominant diatoms found in our study generally support high metabolism, function of favourable surface-volume ratios (Nogueira and Figueiras, 2005) resulting from small-sized cells and chain-forming (Skeletonema cf. costatum) or elongated cells (Guinardia and Pseudo-nitzschia species). The elongated penate chain forming diatom species observed in Santos Bay may belong to the Pseudo-nitzschia seriata complex (Hasle, 1965). Higher densities were observed during 2006 surveys, varying from [10.sup.3] cell.[L.sup.-1] to 105 cell.[L.sup.-1], close to the upper limit considered a risk (Mafra-Junior et al., 2006).

A larger contribution of dinoflagellates to total community (29%) than previous studies in our study region (less than 10%) raises concerns towards possible effects of local eutrophication (Aguiar and Braga, 2007). In addition, routine-dredging activities in the Santos estuarine channel can promote dinoflagellates cists suspension (Pitcher and Joyce, 2009). The Santos estuarine channel has been dredged continuously since 2002, and in average, 300000 [m.sup.3] of sediments are removed every month, and disposed in the adjacent inner continental shelf (ANTAQ, 2009). Local dinoflagellate abundances have coincidentally increased since 2002 (Villac et al., 2008). Prorocentrum minimum is a neritic bloom-forming dinoflagellate, responsible for harmful episodes in many estuarine and coastal environments that have been subjected to significant geographical expansion (Taylor et al., 2003; Heil et al., 2005). Prorocentrum minimum occurred in all surveys in densities above [10.sup.4] cell.[L.sup.-1], similar to other eutrophised sites, such as Paranagua bay (Mafra-Junior et al., 2006) and Santo Andre Lagoon (Macedo et al., 2001), where densities reached 2.5 [10.sup.7] cell.[L.sup.-1] during blooms.

As in other eutrophic costal regions, Prorocentrum minimum high abundances seem to co-occur with, or develop after, high abundances of Skeletonema cf. costatum (Heil et al., 2005). The processes governing the temporal relationships between these two species are still unknown (Heil et al., 2005). Skeletonema cf. costatum is in fact a composite of distinct species (Sarno et al., 2005; Jinfeng et al., 2008). Thus further studies regarding their co-occurrence are still required, as well as any link to the presence of these species and changes in local eutrophication (Macedo et al., 2001). The lack of seasonal trends observed, in part result from our sample design, was contrary to what is reported in earlier studies. Skeletonema cf. costatum blooms are rather responses to episodic events than characteristic summer-bloom species. Skeletonema cf. costatum was negatively correlated to water transparency, following the expected adaptation to low light conditions (e.g. Sakshaug and Andersen, 1986). Schmiegelow et al. (2008) reported nano-sized flagellates as dominant phytoplankton groups in Santos bay year-round and that shifts to microphytoplanktonic-dominance occur during decreases in mixing and increases in precipitation rates. Neither Macedo et al. (2001) nor Heil et al. (2005) have considered the role of wind intensity and direction that will probably be more decisive establishing light level conditions in a time scale of days to weeks.

4.2. Microphytoplankton assemblages and the role of weather-induced variability

Our results show at least five distinct and episodic scenarios of microphytoplankton dominance as responses to winds, tides and rainfall. Northern winds prevailed during the observations, but a number of atmospheric cold frontal systems previous to the August 2006 ST survey, changed winds to the southern quadrant. Increases in Asterionellopsis glacialis abundance, a diatom commonly observed in high-energy surf zones (McLachlan and Brown, 2006), followed the increase in strength of the south wind component. High abundances of A. glacialis in the area, is perhaps a result of auxospores suspension or physical accumulation of vegetative cells (Villac and Noronha, 2008). In addition to watercolour changes, the large amount of mucilage released by these blooms can become vehicles for pollutants (Koukal et al., 2007), thus their occurrence and consequences must be better understood in urbanised areas.

During September 2007 eastern winds atypically persisted for many days prior to both sampling dates, during which we observed the lowest chlorophyll-a concentrations, salinity and microphytoplankton abundances comparing all surveys (Figure 3). Considering the un-significant local precipitation rates, probably high estuarine outflows were forced by the wind in association with remote precipitation, which occurred in Sao Paulo, in the vicinity of Congonhas airport (IPMET, 2007). During both September 2007 surveys, mixotrophic dinoflagellates, such as Dinophysis acuminata were abundant. Gymnodinium species and Chattonella cf. antiqua, also potentially harmful bloom-forming species (Hallegraeff, 2004), were also abundant during September 2007. Dinophysis acuminata showed densities of [10.sup.4] cell.[L.sup.-1] in September 2007 ST survey, above the limits (103 cell.L-1) as a risk for public health due to potential DSP toxin production (Mafra-Junior et al., 2006). Blooms of Dinophysis acuminata and Gymnodinium species, as well as other dinoflagellates, have been observed after strong rainfall events and in periods of low turbulent mixing in estuaries and bays (Hallegraeff, 2004). In September 2007, these dinoflagellates were able to compete with Skeletonema cf. costatum.

Fluxes of organic material through rivers and estuaries affect coastal phytoplankton growth and composition (Klug and Cottingham, 2001), especially through mixotrophic nutrition where inorganic nutrients (Arenovski et al., 1995) or light (Bockstahler and Coats, 1993) are low. The magnitudes of CDOM light absorption, proxy for DOM concentration, showed highest mean value in September 2007 NT survey (Ciotti, A.M. unpublished data). Humic substances must undergo chemical transformations to become available to bacteria that in turn support mixotrophic organisms. DOM degradation, mainly photochemical, can be an additional source of ammonia and phosphate (Rochelle-Newal and Fisher, 2002). A number of anthropogenic substances (e.g., chlorine) in domestic sewage may perhaps alter DOM characteristics and its availability to microorganisms. Nonetheless, the effects of sewage inputs on chemical and optical characteristics of DOM have been little studied (Staehr et al., 2009), and its consequences to changes in phytoplankton community structures must be addressed.

Tides and precipitation rates were also related to some phytoplanktonic assemblages. Chlorophyll-a concentration and microphytoplanktonic cell densities, mainly Chaetoceros, Pseudo-nitzschia species, Thalassiosira, Guinardia striata and Leptocylindrus minimus were higher during neap than STs, and also after periods of rainfall. Only Hemiaulus hauckii and Guinardia flaccida showed larger densities during STs, (H. hauckii during both 2006 surveys and September 2007; and G. flaccida during summer surveys), probably a result of their larger cell size and hence higher sinking rates (Scharek et al., 1999). On the other hand, Skeletonema cf. costatum, Prorocentrum minimum, Prorocentrum gracile and Scrippsiella trochoidea occurred in all surveys, with enhanced densities during winds from the northern quadrant, high PM and low Secchi disk depths. One possible explanation for the high abundance of Skeletonema cf. costatum observed in August 2006 could be ressuspension of auxospores and resting stages (Harris et al., 1998) from bottom sediments. As S. cf. costatum is the most cited bloom-forming organism in the region, it is reasonable to assume the presence of resting stages in Santos bay sediments that could eventually nourish bloom formation. However, as for the majority of diatoms (Davidovich and Bates, 2002), the life cycle mechanisms of Skeletonema cf. costatum are not properly understood.

5. Conclusions

Changes in microphytoplankton communities observed in Santos bay coastal waters are episodic, mainly related to wind speed and direction and tides, and to a lesser extent, to precipitation rates. Chain forming diatoms with small or elongate cells ("mixers") occurred throughout the surveys, increasing during NTs. Densities of larger celled diatoms, such as Hemiaulus hauckii ("sinkers") increased during ST, after periods of high precipitation rates.

Skeletonema cf. costatum, also a "mixer", was observed in high densities during August 2006 (austral winter) linked to strong N-NE winds, contrary to what has been previously reported, and suggesting an alteration in the temporal patterns of these species blooms, or the existence of local mechanisms for resuspension of resting stages and auxospores.

Strong southern winds increases surf zone energy in Santos bay, common after atmospheric frontal systems. In these situations, Asterionellopsis glacialis blooms are expected on a scale of a few hours to days. The enhancement of atmospheric instabilities will most likely alter the frequency of these blooms in the area, as well as in the remaining dissipative coastal in southern Brazil.

Mixotrophic dinoflagellates, such as Dinophysis acuminata, appear to be able to compete with mixers (bloom-forming diatoms) after intense estuarine discharges, raising concerns about uncontrolled disposals of freshwater into eutrophised systems, especially those surrounding highly urbanised areas.

Densities of Dinophysis acuminata and species of Pseudo-nitzschia seriata complex were above published safe limits, emphasizing the importance of urgent and constant monitoring programmes in the area.

Acknowledgements--We are grateful to the crewmembers of the vessels Danda II, Ilhas do Sul and Lugano and members of Laboratorio Aquarela (UNESP-CLP) and Laboratorio de Ecologia do Fitoplancton (UNIMONTE) for support during oceanographic surveys. This research took place within the CIRSAN (Circulation in Santos bay) project, funded by FAPESP (Fundacao de Amparo a Pesquisa do Estado de Sao Paulo-2003/13747-5). F.C Giannini and R.T. Tonini also received FAPESP scholarships.

References

ACHA, EM., MIANZAN, H., GUERRERO, R., CARRETO, J., GIBERTO, D., MONTOYA, N. and CARIGNAN, M., 2008. An overview of physical and ecological processes in the Rio de la Plata Estuary. Continental Shelf Research, vol. 28, p. 1579-1588. http://dx.doi.org/10.1016/j.csr.2007.01.031

Agencia Nacional de Transportes Aquaviarios--ANTAQ, 2009. Relatorio de dragagem. Available from: <http://www.antaq.gov.br/ Portal/GestaoAmbiental/Publicacoes.asp>. Access in: 25 jun. 2009.

AGUIAR, VMC. and BRAGA, ES., 2007. Seasonal and tidal variability of phosphorus along a salinity gradient in the heavily polluted estuarine system of Santos/Sao Vicente--Sao Paulo, Brazil. Marine Pollution Bulletin, vol. 54, p. 464-488.

ALFREDINI, P., ARASAKI, E. and AMARAL, RF., 2008. Mean sea-level rise impacts on Santos Bay, Southeastern Brazil--physical modelling study. Environmental Monitoring and Assessment, vol. 144, p. 377-387.

American Public Health Association--APHA, 1985. Standard Methods for the Examination of Water and Wastewater. 16nd ed. Washington: APHA.

ANDERSON, DM., BURKHOLDER, JM., COCHLAN, WP., GLIBERT, PM., GOBLER, CJ., HEIL, CA., KUDELA, RM., PARSONS, ML., JACK RENSEL, JE., TOWNSEND, DW., TRAINER, VL. and VARGO, GA., 2008. Harmful algal blooms and eutrophication: Examining linkages from selected coastal regions of the United States. Harmful Algae, vol. 8, p. 39-53. http://dx.doi.org/10.1016/j.hal.2008.08.017

ARENOVSKI, AL., LIM, EL. and CARON, DA., 1995. Mixotrophic nanoplankton in oligotrophic surface waters of the Sargasso Sea may employ phagotrophy to obtain major nutrients. Journal of Plankton Research, vol. 17, p. 801-820. http://dx.doi.org/10.1093/ plankt/17.4.801

BAEK, SH., SHIMODE, S., HAN, MS. and KIKUCHI, T., 2008. Growth of dinoflagellates, Ceratium furca and Ceratium fusus in Sagami Bay, Japan: The role of nutrients. Harmful Algae, vol. 7, p. 729-739. http://dx.doi.org/10.1016/j.hal.2008.02.007

BOCKSTAHLER, KR. and COATS, DW., 1993. Spatial and Temporal aspects of mixotrophy in Chesapeake Bay dinoflagellates. Journal of Eukaryotic Microbiology, vol. 40, p. 49-60. http:// dx.doi.org/10.1111/j.1550-7408.1993.tb04881.x

BRAGA, ES., BONETTI, CVDH., BURONE, L. and BONETTI-FILHO, J., 2000. Eutrophication and bacterial pollution caused by industrial and domestic wastes at the Baixada Santista Estuarine System-Brazil. Marine Pollution Bulletin, vol. 40, p. 165-173.

BURKHOLDER, JM., DICKEY, DA., KINDER, CA., REED, RE., MALLIN, MA., MCIVER, MR., CAHOON, LB., MELIA, G., BROWNIE, C., SMITH, J., DEAMER, N., SPRINGER, J., GLASGOW, HB. and TOMS, D., 2006. Comprehensive trend analysis of nutrients and related variables in a large eutrophic estuary: A decadal study of anthropogenic and climatic influences. Limnology and Oceanography, vol. 51, no 1-2, p. 463-487.

CLOERN, JE., 1996. Phytoplankton bloom dynamics in coastal ecosystems: a review with some general lessons from sustained investigation of San Francisco Bay, California. Reviews of Geophysics, vol. 34, p. 127-168. http://dx.doi.org/10.1029/96RG00986

CULLEN, JJ. and MACINTYRE, JG., 1998. Behavior, physiology and the niche of depth-regulating phytoplankton. In ANDERSON, DM., CEMBELLA, AD. and HALLEGRAEFF, GM., (Eds.). Physiological Ecology of Harmful Algal Blooms. Berlin: Springer-Verlag. p. 1-21. NATO ASI Series.

DAVIDOVICH, NA. and BATES, SS., 2002. Pseudo-nitzschia life cycle and the sexual diversity of clones in diatom populations. In Proceedings of the LIFEHAB Workshop: Life history of microalgal species causing harmful algal blooms, 2002. Commission of the European Community. p. 27-30.

DURAND, N., FIANDRINO, A., FRAUNIE, P., OUILLON, S., FORGET, P. and NAUDIN, JJ., 2002. Suspended matter dispersion in the Ebro ROFI: an integrated approach. Continental Shelf Research, vol. 22, p. 267-284. http://dx.doi.org/10.1016/ S0278-4343(01)00057-7

GEYER, WR., 1997. Influence of Wind on Dynamics and Flushing of Shallow Estuaries. Estuarine, Coastal and Shelf Science, vol. 44, p. 713-722. http://dx.doi.org/10.1006/ecss.1996.0140

GIANESELLA, SMF., SALDANHA-CORREA, FMPP. and TEIXEIRA, C., 2000. Tidal effects on nutrients and phytoplankton distribution at Bertioga Channel (SP). Aquatic Ecosystem Health and Management, vol. 3, p. 533-544.

GLIBERT, PM., HEIL, CA., O'NEIL, JM., WILLIAM, C., DENNISON, I. and O'DONOHUE, MJH., 2006. Nitrogen, Phosphorus, Silica, and Carbon in Moreton Bay, Queensland, Australia: Differential Limitation of Phytoplankton Biomass and Production. Estuaries and Coasts, vol. 29, no 2, p. 209-221. http://dx.doi.org/10.1007/BF02781990

HALLEGRAEFF, GM., 2004. Harmful algal blooms: a global overview. In HALLEGRAEFF, GM., ANDERSON, DM. and CEMBELLA, AD., (Eds.). Manual on Harmful Marine Microalgae, Monographs on Oceanographic Methodology. 2nd ed. Paris: Unesco Publishing. p. 25-49.

HARARI, J., FRANCA, CAS. and CAMARGO, R., 2008. Climatology and Hydrography of Santos Estuary. In NEVES, R., BARETTA, J. and MATEUS, M., (Eds.). Perspectives on Integrated Coastal Zone Management in South America. Lisboa: IST Press. p. 147-160.

HARRIS, ASD., JONES, KJ. and LEWIS, J., 1998. An assessment of the accuracy and reproducibility of the most probable number (MPN) technique in estimating numbers of nutrient stressed diatoms in sediment samples. Journal of Experimental Marine Biology and Ecology, vol. 231, no 1, p. 21-30. http://dx.doi.org/10.1016/ S0022-0981(98)00061-6

HASLE, GR., 1965. Nitzschia and Fragilariopsis species studied in the light and electron microscopes. II. The group Pseudonitzschia. Oslo: Universit Etsforlaget, 1965.

HEIL, CA., GLIBERT, PM. and FAN, C., 2005. Prorocentrum minimum (Pavillard) Schiller A review of a harmful algal bloom species of growing worldwide importance. Harmful Algae, vol. 4, p. 449-470.

Instituto de Pesquisas Meteorologicas--IPMET, 2007. Eventos extremos do mes de Setembro 2007. Available from: <http://www. ipmet.unesp.br/index.php>. Access in: 22 out. 2010.

JINFENG, C., YANG, L., JUNRONG, L. and YAHUI, G., 2008. Morphological variability and genetic diversity in five species of Skeletonema (Bacillariophyta). Progress in Natural Science, vol. 18, no 11, p. 1345-1355. http://dx.doi.org/10.1016/j.pnsc.2008.05.002

KALNAY, E., KNAMITSU, M., KLISTER, R., COLLINS, W., DEAVEN, D., GANDIN, I., IREDELL, M., SAHA, S., WHITE, G., WOOLLEN, J., ZHU, Y., CHELLIAH, M., EBISUZAKI, E., HIGGINS, W., JANOWISK, J., ROPELEWSKI, KMO; WANG, J.,LEETMA, A., REYNOLDS, R., JENNE, R. and JOSEPH, D., 1996. The ncep/ncar year reanalysis project. Bulletin American Meteorogy Society, vol. 77, p. 437-470. http://dx.doi. org/10.1175/1520-0477(1996)077%3C0437:TNYRP%3E2.0.CO;2

KIMMERER, WJ., 2002. Effects of freshwater flow on abundance of estuarine organisms: physical effects or trophic linkages? Marine Ecology Progress Series, vol. 243, p. 39-95. http://dx.doi. org/10.3354/meps243039

KLUG, J. and COTTINGHAM, K., 2001. Interactions among environmental drivers: community responses to changing nutrients and dissolved organic carbon. Ecology, vol. 82 no. 12, p. 3390-3403. http://dx.doi.org/10.1890/0012-9658(2001)082[3390:IA EDCR]2.0.CO;2

KOUKAL, B., ROSSE, P., REINHARDT, A., FERRARI, B., WILKINSON, KJ., LOIZEAU, JL. and DOMINIK, J., 2007. Effect of Pseudokirchneriella subcapitata (Chlorophyceae) exudates on metal toxicity and colloid aggregation. Water Research, vol. 41, no 1, p. 63-7. http://dx.doi.org/10.1016/j.watres.2006.09.014

LOBO, EA. and LEIGHTON, G., 1986. Estructuras comunitarias de las fitocenosis planctonicas de los sistemas de desembocaduras de rios y esteros de la zona central de Chile. Revista de Biologia Marina y Oceanografia, vol. 22, no. 1, p. 1-29.

LUND, JWG., KIPLING, C. and LE CREN, ED., 1958. The inverted microscope method of estimating algal numbers and the statistical basis of estimations by counting. Hydrobiologia, vol. 2, p. 143-170.

MACEDO, MF., DUARTE, P., MENDES, P. and FERREIRA, JG., 2001. Annual variation of environmental variables, phytoplankton species composition and photosynthetic parameters in a coastal lagoon. Journal of Plankton Research, vol. 23, no 7, p. 719-732. http://dx.doi.org/10.1093/plankt/23.7.719

MAFRA-JUNIOR, LL., FERNANDES, L. and PROENCA, LAO., 2006. Harmful algae and toxins in Paranagua Bay, Brazil: bases for monitoring. Brazilian Journal of Oceanography, vol. 54, p. 107-121. http://dx.doi.org/10.1590/S1679-87592006000200002

MARGALEF, R., 1997. Turbulence and marine life. In MARRASE, C., SAIZ, E., REDONDO, JM., (Eds.). Lectures on plankton and turbulence. Scientia Marina, vol. 61, suppl. 1, p. 109-123.

MCLACHLAN, A. and BROWN, AC., 2006. The Ecology of Sandy Shores. Burlington: Academic Press. 373 p.

MOSER, GAO., GIANESELLA, SMF., BARRERA-ALBA, JJ., BERGAMO, AL., SALDANHA-CORREA, FMP., MIRANDA, LB. and HARARI, J., 2005. Instantaneous transport of salt, nutrients, suspended matter and chlorophyll-a in the tropical estuarine system of Santos. Brazilian Journal of Oceanography, vol. 53, p. 115-127.

MOSER, GAO., SIGAUD-KUTNER, TC., CATTENA, CO., GIANESELLA, SMF., BRAGA, E.DS., SCHINKE, KP. and AIDAR, E., 2004. Algal growth potencial as an index of eutrophication degree in coastal areas under sewage disposal influence. Aquatic Ecosystem Health and Management, vol. 7, no. 1, p. 115-126. http://dx.doi.org/10.1080/14634980490281443

MUYLAERT, K., SABBE, K. and VYVERMAN, W., 2009. Changes in phytoplankton diversity and community composition along the salinity gradient of the Schelde estuary (Belgium/The Netherlands). Estuarine, Coastal and Shelf Science, vol. 82, p. 335-340. http://dx.doi.org/10.1016/j.ecss.2009.01.024

NOGUEIRA, E. and FIGUEIRAS, JF., 2005. The microplankton succession in the Ria de Vigo revisited: species assemblages and the role of weather-induced, hydrodynamic variability. Journal of Marine Systems, vol. 54, p.139-155. http://dx.doi.org/10.1016/). jmarsys.2004.07.009

PAERL, HW., PINCKNEY, JL., FEAR, JM. and PEIERLS, BL., 1998. Ecosystem responses to internal and watershed organic matter loading: consequences for hypoxia in the eutrophying Neuse River Estuary, North Carolina, USA. Marine Ecology Progress Series, vol. 166, p.17-25. http://dx.doi.org/10.3354/meps166017

PINCKNEY, J., PAERL, H., TESTER, P. and RICHARDSON, T., 2001. The role of nutrient loading and eutrophication in estuarine ecology. Environmental Health Perspectives, vol. 109, p. 699-706.

PITCHER, GC. and JOYCE, LB., 2009. Dinoflagellate cyst production on the southern Namaqua shelf of the Benguela upwelling system. Journal of Plankton Research, vol. 31, no. 8, p. 865-875. http://dx.doi.org/10.1093/plankt/fbp040

ROCHELLE-NEWALL, EJ. and FISHER, TR., 2002. Production of chromophoric dissolved organic matter fluorescence in marine and estuarine environments: an investigation into the role of phytoplankton. Marine Chemistry, vol. 77, p. 7-21. http://dx.doi. org/10.1016/S0304-4203(01)00072-X

SAKSHAUG, E. and ANDRESEN, K., 1986. Effect of light regime upon growth rate and chemical composition of a clone of Skeletonema costatum from the Trondheimsfjord, Norway. Journal of Plankton Research, vol. 8, no 4, p. 619-637. http:// dx.doi.org/10.1093/plankt/8.4.619

SARNO, D., KOOISTRA, WHCF., MEDLIN, LK., PERCOPO, I. and ZINGONE, A., 2005. Diversity in the genus Skeletonema (Bacillariophyceae): II. An assessment of the taxonomy of S. costatum-like species, with the description of four new species. Journal of Phycology, vol. 41, p.151-176. http://dx.doi. org/10.1111/j.1529-8817.2005.04067.x

Sao Paulo (Estado). Departamento de Aguas e Energia Eletrica --DAEE, 2009. Banco de dados pluviograficos do Estado de Sao Paulo. CD-ROM.

SCHAREK, R., TUPAS, LM. and KARL, DM., 1999. Diatom fluxes to the deep sea in the oligotrophic North Pacific gyre at station ALOHA. Marine Ecology Progress Series, vol. 182, p. 55-67. http://dx.doi.org/10.3354/meps182055

SCHMIEGELOW, JMM., GIANESELLA, SMF., SIMONETTI, C., SALDANHA-CORREA, FMP., FEOLI, E., SANTOS, JAP., SANTOS, MP., RIBEIRO, RB. and SAMPAIO, AFP., 2008. Primary Producers In Santos Estuarine System. In NEVES, R., BARETTA, J. and MATEUS, M., (Eds.). Perspectives on Integrated Coastal Zone Management in South America. Lisboa: IST Press. p.161-174.

SHOAF, WT. and LIUM, BW., 1976. Improved extraction of chlorophyll a and b from algae using dimethyl sulfoxide. Limnology and Oceanography, vol. 21, p. 926-928. http://dx.doi. org/10.4319/lo.1976.21.6.0926

SOURNIA, A., CHRETIENNOT-DINET, MJ. and RICARD, M., 1991. Marine phytoplankton: how many species in the world? Journal of Plankton Research, vol. 13, no 5, p. 1093-1099. http:// dx.doi.org/10.1093/plankt/13.5.1093

STAEHR, PA., WAITE, AM. and MARKAGER, S., 2009. Effects of sewage on bio-optical properties and primary production of coastal systems. Hydrobiologia, vol. 620, no. 1, p. 191-205.

TAYLOR, FJR., FUKUYO, Y., LARSEN, J. and HALLEGRAEFF, GM., 2003. Taxonomy of harmful dinoflagellates. In HALLEGRAEFF, GM., ANDERSON, DM. and CEMBELLA, AD., (Eds.). Manual on Harmful Marine Microalgae. Paris: Unesco Publishing. p. 389-482.

THOMAS, WH., HOLLIBAUGH, JT., SEIBERT, DLR. and WALLACE, GTJ., 1980. Toxicity of a Mixture of Ten Metals to Phytoplankton. Marine Ecology Progress Series, vol. 2, p. 213-220. http://dx.doi.org/10.3354/meps002213

TENENBAUM, DR., VILLAC, MC., VIANA, SC., MATOS, M., HATHERLY, M., LIMA, IV. and MENEZES, M. 2004. Phytoplankton Atlas of Sepetiba Bay, Rio de Janeiro, Brazil. Londres: IMO. p. 132.

TOMAS, CR., 1997. Identifying marine phytoplankton. San Diego: Academic Press. 858 p.

UTERMOHL, U., 1958. Perfeccionomiento del metodo cuantitativo de fitoplancton. Comunication of Association International of Theoretical and Applied Limnology Michigan, vol. 9, p. 1-89.

VILLAC, MC. and NORONHA, VADC., 2008. The surf-zone phytoplankton of the State of Sao Paulo, Brazil. I. Trends in space-time distribution with emphasis on Asterionellopsis glacialis and Anaulus australis (Bacillariophyta). Nova Hedwigia, p. 115-129.

VILLAC, MC., NORONHA, VAPC. and PINTO, TO., 2008. The phytoplankton biodiversity of the coast of the state of Sao Paulo, Brazil. Biota Neotropica, vol. 8, no. 3, p. 151-173.

WALTER, H., CONSOLARO, F., GRAMATIC, P., SCHOLZE, M. and ALTENBURGER, R., 2002. Mixture toxicity of priority pollutants at no observed effect concentration. Ecotoxicology, vol. 11, p. 299-310. http://dx.doi.org/10.1023/A:1020592802989

WELSCHMEYER, NA., 1994. Fluorometric analysis of chlorophyll a in the presence of chlorophyll b and pheopigments. Limnology and Oceanography, vol. 39, p. 1985-1992. http://dx.doi.org/10.4319/ lo.1994.39.8.1985

WHITEA, DL., PORTERA, DE. and LEWITUSB, AJ., 2004. Anthropogenic Influences on the Ecology of Tidal Creeks and Canals: Spatial and temporal analyses of water quality and phytoplankton biomass in an urbanized versus a relatively pristine salt marsh estuary. Journal of Experimental Marine Biology and Ecology, vol. 298, no. 2, p. 255-273. http://dx.doi.org/10.1016/j. jembe.2003.07.001

ZAR, JH., 1999. Biostatistical Analysis. Prentice-Hall, Inc. 662 p.

ZINGONE, A. and ENEVOLDSEN, HO., 2000. The diversity of harmful algal blooms: a challenge for science and management. Ocean & Coastal Management, vol. 43, p. 725-748. http://dx.doi. org/10.1016/S0964-5691(00)00056-9

Moser GAO. (a) *, Ciotti AM. (b), Giannini MFC. (b), Tonini RT. (b) and Harari J. (c)

(a) Faculdade de Oceanografia, Universidade do Estado do Rio de Janeiro--UERJ, Rua Sao Francisco Xavier, 534, CEP 20550-103, Rio de Janeiro, RJ, Brazil

(b) Universidade Estadual Paulista Julio de Mesquita Filho--UNESP, Praca Infante Don Henrique, s/n, CEP 11330-900, Sao Vicente, SP, Brazil

(c) Instituto Oceanografico--IO, Universidade de Sao Paulo--USP, Praca do Oceanografico, 191, Cidade Universitaria, CEP 05508-120, Sao Paulo, SP, Brazil

* e-mail: gleyci_moser@uerj.br

Received December 24, 2010--Accepted March 14, 2011--Distributed February 29, 2012

(With 5 figures)
Table 1. Sampling surveys, total of sampling points, sampling
days for neap (NT) and spring tides (ST) surveys and
variables abbreviators utilized in statistical analysis.

Months/              Surveys       Total of
Sampling days                      sampling
                                    points

March 2006       Neap (MN06) and      75
03/07             Spring (MS06)
03/13
August 2006      Neap (AN06) and      73
08/16             Spring (AS06)
08/25
March 2007       Neap (MN07) and      80
03/13             Spring (AS07)
03/20
September 2007   Neap (SN07) and      70
09/04             Spring (SS07)
09/11

Months/                        Variables
Sampling days

March 2006        CHL, PM, POM, PPT, SAL, AS, SECCHI,
03/07              WIND, SK, AG, GF, GS, CH, HH, TH,
03/13             LM, PN, NV, DA, PM, PG, ST, GY, CT
August 2006       CHL, PM, POM, PPT, SAL, AS, SECCHI,
08/16              WIND, SK, AG, GF, GS, CH, HH, TH,
08/25             LM, PN, NV, DA, PM, PG, ST, GY, CT
March 2007       CHL, PM, POM,, PPT, SAL, AS, SECCHI,
03/13              WIND, SK, AG, GF, GS, CH, HH, TH,
03/20             LM, PN, NV, DA, PM, PG, ST, GY, CT
September 2007    CHL, PM, POM, PPT, SAL, AS, SECCHI,
09/04              WIND, SK, AG, GF, GS, CH, HH, TH,
09/11             LM, PN, NV, DA, PM, PG, ST, GY, CT

Salinity SAL (p.s.u.); [DELTA]S; Chlorophyll-a CHL
(mg.[m.sup.3]); particulate matter PM (mg.[L.sup.-1]);
particulate organic matter POM (% of total PM); coloured
disolved organic matter CDOM (absorption); Secchi disk
depth SECCHI (m); winds WIND (m.[s.sup.-1]), precipitation
rates PPT (mm.[day.sup.-1]); and densities (cell.[L.sup.-1])
of abundant species: Skeletonema cf. costatum (SK); Guinardia
flaccida (GF), Guinardia striata (GS), Chaetoceros (CH),
Hemiaulus hauckii (HH), Thalassiosira spp. (TH), Leptocylindrus
minimus (LM); Asterionellopsis glacialis (AG), Pseudo-nitzschia
spp. (PN), Navicula sp.1 (NV), Dinophysis acuminata (DA),
Prorocentrum minimum (PM), Prorocentrum gracile (PG),
Gymnodinium spp. (GY), Scrippsiella trochoidea (ST) and
Chattonella cf. antiqua (CT).

Table 2. Average and standard deviation (between brackets) of WIND
(speed, m.[s.sup.-1]) and PPT (precipitation rates mm.[day.sup.-1])
for surveys held in 2006 and 2007, spring and neap tides.

Month                      Mar./06                     Aug./06

Tide              Neap tide    Spring tide    Neap tide    Spring tide

[WIND.sub.SP]    1.60 (0.7)    2.25 (0.81)   1.9 (0.62)    2.41 (0.73)
[WIND.sub.DIR]       NW            SE           N-NE          E-NE
PPT              5.38 (7.01)   4.42 (9.88)   0.00 (0.00)   1.57 (3.52)

Month                     Mar./07                     Sep./07

Tide              Neap tide    Spring tide    Neap tide    Spring tide

[WIND.sub.SP]    1.32 (0.41)   1.60 (0.91)   2.92 (1.15)   2.87 (0.78)
[WIND.sub.DIR]      N-NE           NW           E-SE          SE-NE
PPT              5.54 (11.9)      21.34      0.00 (0.00)   0.00 (0.00)
                                 (38.02)

Table 3. Spearman correlations for environmental data and
species. Only significant data (p < 0.05) are presented.
Symbols follow Table 1.

            SAL     AS     CHL     PM      POM    CDOM    SECCHI

SAL
AS         -0.25
CHL         0.21   0.36
PM          0.57           0.41
POM        -0.32                  -0.60
CDOM       -0.29                  -0.15
SECCHI                            -0.37    0.21   -0.24
WIND E-W   -0.41           0.44   -0.27
WIND N-S    0.18          -0.36    0.30                   -0.24
PPT                0.32    0.42   -0.28                    0.21
SK                 0.22    0.33                           -0.21
AG          0.26           0.27    0.57   -0.21            0.23
GF          0.42           0.18    0.34   -0.21
GS                 0.18    0.23   -0.18    0.25            0.28
CH                 0.34    0.26
HH          0.32
TH          0.18   0.30    0.39
LM                 0.21    0.32
PN                 0.30    0.53    0.22
NV                        -0.22   -0.27    0.18
DA         -0.55          -0.40   -0.39    0.29
PM
PG                                 0.26
ST          0.27          -0.26    0.34
GY         -0.21          -0.29   -0.25
CT                        -0.21   -0.30

           WIND    WIND N-S    PPT     SK      AG      GF      GS
            E-W

SAL                                            0.26    0.42
AS                                     0.22                    0.18
CHL                                    0.33    0.27    0.18    0.23
PM                                             0.57    0.34   -0.18
POM                                           -0.21   -0.21    0.25
CDOM
SECCHI                                -0.21    0.23            0.28
WIND E-W                                                      -0.22
WIND N-S   -0.64
PPT        -0.21                               0.41    0.21    0.36
SK
AG                   0.41                                      0.27
GF                   0.21                      0.23
GS         -0.22     0.36     0.27                     0.49
CH         -0.49     0.23     0.32
HH         -0.28     0.18     0.41
TH         -0.58     0.54     0.28
LM         -0.55     0.50     0.23
PN         -0.59     0.36     0.59
NV          0.17
DA          0.56    -0.43    -0.41
PM         -0.15    -0.15
PG         -0.20    -0.18
ST         -0.30    -0.14
GY          0.20    -0.30
CT          0.18    -0.25

            CH      HH      TH      LM      PN      NV

SAL                 0.32    0.18
AS          0.34            0.30    0.21    0.30
CHL         0.26            0.39    0.32    0.53   -0.22
PM                                          0.22   -0.27
POM                                                 0.18
CDOM
SECCHI
WIND E-W   -0.49   -0.28   -0.58   -0.55   -0.59    0.17
WIND N-S
PPT         0.23    0.18    0.54    0.50    0.36
SK
AG          0.32    0.41    0.28    0.23    0.59
GF          0.20                            0.30
GS                 -0.26
CH
HH          0.24            0.25    0.28    0.40
TH                  0.32    0.56    0.45    0.54
LM                          0.21            0.36
PN                                  0.44    0.53
NV                                          0.37
DA                                                 -0.21
PM
PG
ST
GY
CT

            DA      PM      PG      ST      GY      CT

SAL        -0.55                    0.27   -0.21
AS
CHL        -0.40                   -0.26   -0.29   -0.21
PM         -0.39            0.26    0.34   -0.25   -0.30
POM         0.29
CDOM
SECCHI
WIND E-W    0.56   -0.15   -0.20   -0.30    0.20    0.18
WIND N-S
PPT        -0.43   -0.15   -0.18   -0.14   -0.30   -0.25
SK
AG         -0.41
GF                  0.34
GS         -0.31            0.21
CH
HH                  0.32                            0.21
TH         -0.27    0.30
LM         -0.20                    0.28
PN         -0.40                    0.37
NV         -0.29
DA         -0.49    0.41    0.22    0.27   -0.20
PM          0.22
PG                                 -0.23    0.20
ST                          0.30                    0.35
GY                                  0.26
CT                                                  0.25

Table 4. Average and standard deviation (between brackets) of
abundant species (cell.[L.sup.-1]) for surveys held in 2006
and 2007, spring and neap tides.

Taxa                                 Mar-06

                             Neap tide    Spring tide

Skeletonema cf. costatum     270 (250)      43 (42)
Guinardia flaccida               --         88 (53)
Guinardia striata            120 (110)     48 (9.4)
Chaetoceros                  1100 (670)    250 (200)
Hemiaulus hauckii             41 (33)       43 (33)
Leptocylindrus minimus       120 (140)     7.8 (16)
Thalassiosira sp.1           420 (330)     53 (130)
Asterionellopsis glacialis       --       0.38 (1.5)
Pseudo-nitzschia *           880 (460)     3.3 (4.1)
Navicula sp.1                 9.1 (14)     140 (7.7)
Dinophysis acuminata         8.1 (3.2)        --
Prorocentrum minimum         180 (310)     100 (59)
Prorocentrum gracile          18 (21)      5.3 (5.3)
Gymnodinium sp.1             7.1 (9.8)     4.5 (2.3)
Scrippsiella trochoidea       73 (74)       12 (21)
Chattonella cf. antiqua       12 (17)      9.5 (8.7)

Taxa                                  Aug-06

                              Neap tide    Spring tide

                                Density. [10.sup.3]
                                   cell.[L.sup.1]

Skeletonema cf. costatum     2000 (3800)    140 (130)
Guinardia flaccida            150 (390)        --
Guinardia striata             90 (180)      110 (140)
Chaetoceros                   660 (200)     160 (350)
Hemiaulus hauckii             1.7 (2.5)      29 (33)
Leptocylindrus minimus       1400 (2600)    2.2 (8.9)
Thalassiosira sp.1            170 (160)      64 (54)
Asterionellopsis glacialis    250 (210)     270 (180)
Pseudo-nitzschia *            220 (250)      34 (39)
Navicula sp.1                 5.6 (3.6)     5.5 (4.8)
Dinophysis acuminata             --            --
Prorocentrum minimum           11 (16)       38 (29)
Prorocentrum gracile           14 (18)       24 (27)
Gymnodinium sp.1               25 (19)       38 (27)
Scrippsiella trochoidea        87 (11)       12 (13)
Chattonella cf. antiqua       4.6 (2.2)     7.3 (7.6)

Taxa                                   Mar-07

                             Neap tide    Spring tide

Skeletonema cf. costatum      53 (73)       17 (25)
Guinardia flaccida               --        4.4 (8.9)
Guinardia striata            220 (160)     750 (110)
Chaetoceros                   27 (36)       87 (46)
Hemiaulus hauckii             10 (13)       10 (13)
Leptocylindrus minimus       320 (220)     320 (210)
Thalassiosira sp.1           240 (160)     250 (170)
Asterionellopsis glacialis   190 (450)     1.9 (3.1)
Pseudo-nitzschia *           340 (190)     210 (270)
Navicula sp.1                6.1 (5.9)     6.1 (5.9)
Dinophysis acuminata             --           --
Prorocentrum minimum          41 (22)       29 (25)
Prorocentrum gracile         4.4 (5.3)     4.4 (5.3)
Gymnodinium sp.1              19 (12)       19 (12)
Scrippsiella trochoidea      5.9 (8.5)     5.9 (8.5)
Chattonella cf. antiqua      4.8 (3.6)     4.8 (3.5)

Taxa                                 Sep-07

                             Neap tide    Spring tide

Skeletonema cf. costatum      3.8 (36)     110 (91)
Guinardia flaccida           0.48 (1.1)       --
Guinardia striata             14 (12)       25 (15)
Chaetoceros                   12 (12)       11 (11)
Hemiaulus hauckii            3.8 (1.6)     7.4 (16)
Leptocylindrus minimus        10 (15)      2.2 (6.5)
Thalassiosira sp.1            27 (21)       15 (23)
Asterionellopsis glacialis   0.39 (1.1)   0.38 (1.5)
Pseudo-nitzschia *            8.9 (17)     1.7 (3.4)
Navicula sp.1                7.7 (7.9)      11 (10)
Dinophysis acuminata          12 (15)       20 (14)
Prorocentrum minimum          30 (35)       13 (11)
Prorocentrum gracile         3.9 (4.3)    0.19 (0.76)
Gymnodinium sp.1              26 (19)       25 (86)
Scrippsiella trochoidea      5.5 (5.6)    0.57 (1.7)
Chattonella cf. antiqua       15 (19)      6.0 (7.3)

Table 5. Abundant species observed in different wind,
salinity and tidal conditions, in 2006 and 2007 surveys.

Rain         Wind            Salinity   Tides

Cold         High-S, not     High       Neap
frontal      correlated to              and
passages,    E-W winds                  Spring
associated
or not, to
rainfall

Moderate     Moderate-N      High       Higher
to high      to moderate                densities
             SE, not                    in ST
             correlated to
             E-W winds

Moderate     Moderate-N      Low to     Higher
tohigh       to moderate     moderate   densities
             S.                         in NTs
             Negatively
             correlated to
             E-W winds

No local     High NE         Low        Neap
rainfall     winds.                     and
             Positively                 Spring
             correlated to
             E-W winds.

No           low-NE or       High       Generally
rainfall     moderate SE                attained
to           winds                      higher
moderate                                densities
                                        in NTs

Rain         Species              Conditions         Survey and
                                                     observations

Cold         Group 1--surfers     Abundant after     Ressuspension
frontal      * Asterionellopsis   rainfall events    of auxospore
passages,    glacialis            and cold fronts.   and physical
associated   (correlate with      Occurrences in     accumulation
or not, to   group 1 species      dissipative        near coast
rainfall     (Table 3)--higher    beaches' surf      August/2006,
             abundances in        zone.              notably in ST.
             2006 surveys)

Moderate     Group 2--sinkers     Chain-forming      higher
to high      large diatoms        diatoms with       densities of
             Hemiaulus hauckii    larger cells       Hemiaulus
             and Guinardia        (diameter > 10     hauckii in
             flaccida             [micro]m). Lower   March/2006 and
                                  surface-volume     2007 ST.
                                  ratio and higher   Guinardia
                                  sinking rates      flaccida
                                  when compared to   enhances in
                                  group 3 diatoms.   abundance in ST
                                  Favoured by        occurred just
                                  turbulence in      associated with
                                  ST conditions.     rainfall.

Moderate     Group 3--            Typical            Abundant during
tohigh       opportunistic        opportunistic      all surveys,
             mixers               estuarine          higher
             Chaetoceros spp.     species. Higher    densities on
             Guinardia striata    densities in       March/2006, and
             Pseudo-nitzschia     Neap tidal         March/2007,
             spp.                 conditions,        associated with
             Leptocylindrus       lower barotropic   rainfall.
             minimus              influence. As a
             Thalassiosira        consequence of
                                  winds and
             sp.1                 salinity
                                  densities
                                  increased, as
                                  well as Secchi
                                  depth, while
                                  PM contribution
                                  decreased.

No local     Group 4--mainly      High flushing of   March/2006--
rainfall     mixotrophic          estuarine          rainy period
             Increases in         waters, due to     and STs
             Dinophysis           persistent         Dinophysis
             acuminata            eastern winds      acuminata--
             population, in       leading to low     higher densities
             Gymnodinium sp.1,    PM with high POM   in Sepetember/
             and to a  lesser     contribution.      2007, due to
             extent in            Low chlorophyll-   persistent
             Chatonella cf.       a content          eastern winds,
             antiqua and                             low PM with
             Navicula in                             high POM
             September 2007                          contribution.

No           Group 5--local       Influence of       Abundant in all
rainfall     mixers Skeletonema   high salinity      surveys.
to           cf. costatum;        waters, with
moderate     Prorocentrum spp.    high PM,
             and Scrippsiella     negatively
             trochoidea           correlated to
                                  Secchi Higher
                                  densities in
                                  March and disk
                                  depth. Although
                                  correlated to
                                  group August-
                                  2006. 3 species,
                                  there was no
                                  correlation to
                                  rainfall. High
                                  chlorophyll-a
COPYRIGHT 2012 Association of the Brazilian Journal of Biology
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2012 Gale, Cengage Learning. All rights reserved.

 
Article Details
Printer friendly Cite/link Email Feedback
Title Annotation:ECOLOGY
Author:Moser, G.A.O.; Ciotti, A.M.; Giannini, M.F.C.; Tonini, R.T.; Harari, J.
Publication:Brazilian Journal of Biology
Date:Feb 1, 2012
Words:8647
Previous Article:Composition and structure of fish assemblage from Passa Cinco stream, Corumbatai river sub-basin, SP, Brazil/Composicao e estrutura da assembleia de...
Next Article:Ichthyofauna diversity of Taperoa II reservoir, semi-arid region of Paraiba, Brazil/Diversidade da ictiofauna do acude Taperoa II, semiarido...
Topics:

Terms of use | Privacy policy | Copyright © 2018 Farlex, Inc. | Feedback | For webmasters