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7.02 Trends in Estuarine Phytoplankton Ecology C Lancelot, Université Libre de Bruxelles, Brussels, Belgium K Muylaert, K.U. Leuven Campus Kortrijk, Kortrijk, Belgium © 2011 Elsevier Inc. All rights reserved. 7.02.1 7.02.2 7.02.2.1 7.02.2.2 7.02.2.3 7.02.2.4 7.02.2.5 7.02.3 7.02.4 References Introduction Multi-Stressors behind Phytoplankton Development in Estuaries Hydrodynamics Hydro-Sedimentary Processes as Drivers of Light Availability Nutrients Salinity Gradient Top-Down Control Trends Conclusions and Perspectives 5 6 6 7 8 9 9 10 11 12 Abstract A review of the multi-stressors behind phytoplankton development in estuaries shows that differences in salinity tolerances and in physical processes (freshwater and particle transport, tidal amplitude, mixing processes, and in upward/downward boundaries) feature in the phytoplankton successions and magnitudes that are specific to each estuary. Nutrient loads play generally only a small role except in subtropical and tropical estuaries during periods of low discharge. The high variability of estuaries worldwide makes their monitoring difficult and the global assessment of their functioning in response to changes in climate and anthropogenic pressures stresses the need to develop online fully coupled river–estuary–coastal ocean physical– biological models at regional scales. 7.02.1 Introduction Estuaries are shallow open systems strongly influenced by river inflows, mixing with the coastal ocean and exchanges across the sediment– and atmosphere–water interfaces. They have distinct salinity gradients in their lower part and a tidal influ ence in the upper freshwater part providing specific hydrological properties when compared to rivers. Estuaries form transitional zones between freshwater and marine envi ronments and are characterized by a large variability in physical, chemical, and biological properties under the dual influence of climate and anthropogenic changes (e.g., Paerl et al., 2010). Aquatic phototrophs (phytoplankton, periphy ton, and macrophytes) compete for light, nutrients and inorganic carbon, and the balance among phototrophs changes with size, depth, and nutrient status of their habitat. In the often nutrient-rich and turbid shallow waters such as estuaries, phytoplankton usually dominates over macrophytes and benthic microalgae (Sand-Jensen and Borum, 1991). The question of an actual estuarine phytoplankton assem blage has been debated lively. Recent statistical analysis of ecological boundaries in estuaries shows no evidence of true estuarine biological communities but rather the existence of a continuum of biological assemblages along the salinity gradient, defining estuaries as ecoclines rather than ecotones (Attrill and Rundle, 2002; Quinlan and Philips, 2007; Muylaert et al., 2009). While marine phytoplankton are adapted to high salinity and freshwater species to low salinity, some of them have evolved at an intermediate salinity (e.g., Jackson et al., 1987; Devassy and Goes, 1988; Roubeix and Lancelot, 2008; Muylaert et al., 2009) or are resistant to salinity fluctuations and thus can survive in brackish waters (Figure 1). Understanding how freshwater and marine phytoplankton organisms respond to the varying and contrasted physico-chemical conditions encountered when transported downstream and upstream along the estuary is a prerequisite for describing the estuarine succession of phyto plankton assemblages and for assessing the ecological and biogeochemical role of estuaries, in terms of, for example, reten tion of anthropogenic nutrients and direction of water– atmosphere CO2 exchange. Providing a connection with the hinterland through the river, water quality and biological communities of estuaries are strongly influenced by freshwater inputs that deliver sus pended sediments, biogenic elements (nutrients) like nitrogen (N), phosphorus (P) and silicon (Si), and contaminants from land runoff and wastewater discharge (see Chapter 5.10). Nutrient inputs in particular reflect the ways that humans produce and consume food and how they manage water courses and wastewaters in the watersheds. Nutrient inputs to the tidal freshwater estuary and the response of the freshwater phytoplankton community are, however, modulated by cli mate change acting on runoff and rainfall and also on temperature and clouds. At the ocean boundary, changes in atmospherically driven currents by modifying phytoplankton composition and growth conditions in nearshore waters also influence phytoplankton species dominance in the estuary through the tidal flushing which transports coastal phytoplank ton cells into the estuary. Phytoplankton development and species dominance in the estuaries are clearly driven by a complex interplay between 5 6 Trends in Estuarine Phytoplankton Ecology Probability 1.0 (a) 0.8 Tetrastrum staurogeniaeforme Scenedesmus spp. 0.6 Coelastrum sp. Planktothrix aghardii 0.4 Gymnodinium sp. Monoraphidium centortum 0.2 Pediastrum spp. 0 1.0 (b) Stephanodiscus hantzschii ocean–estuary–river physical–biogeochemical models that describe nutrient/contaminant transformations and phyto plankton development along the land–ocean continuum in response to regional changes in climate and human pres sures. As a first step in this direction, we review here the multistressors which are behind phytoplankton development in estuaries in order to help to understand trends in estuarine phytoplankton and to define the needed physical and trophic resolution of the coupled models which are to be used for assessing their future in response to changing climate and for the implementation of environmental policies. Probability 0.8 Rhodomonas sp. Cyclotella scaldensis Thalassiosira proschkinae 0.6 Actinocyclus normannii Melosira varians Oocystis spp. 0.4 Melosira nummuloides 0.2 0 1.0 Probability 0.8 Actinastrum hantzschii (c) Guinardia delicatula Raphoneis amphiceros 0.6 Lithodesmium undulatum Chaetoceros Rhizosolenia pungens 0.4 0.2 Mixing depth-to photic depth ratio Triceratuim alternans Rhizosolenia sp. 0 16 14 12 10 8 6 4 2 0 30 (d) (e) Salinity 25 20 15 10 5 0 0 20 40 60 80 100 120 140 160 180 Distance from estuary mouth (km) Figure 1 Modeled responses of selected phytoplankton taxa along the longitudinal axis of the Scheldt estuary. Taxa with population maximum in river (a), within the estuary (b), and in coastal waters (c) as adapted from Muylaert et al. (2009) in relationship with the annual mean mixing-to-photic depth (d) and salinity distribution (e) as adapted from Lionard, M., Muylaert, K., Van Gansbeke, D., Vyverman, W., 2005b. Influence of changes in salinity and light intensity on growth of phytoplankton communities from the Schelde river and estuary (Belgium/The Netherlands). Hydrobiologia 540, 105–115. With kind permission from Springer Science + Business Media. processes occurring over the regional ocean basins and within the watersheds. Such a complexity could be resolved by devel oping and implementing at regional scale coupled 7.02.2 Multi-Stressors behind Phytoplankton Development in Estuaries Considering the interplay between the stressors that are specific for each estuary, each of them is discussed below as a necessary but not exclusive condition for allowing phytoplankton to develop in the estuary. When relevant, interacting factors are pointed out and specific examples are given. 7.02.2.1 Hydrodynamics Freshwater inputs in estuaries result in a net downstream trans port of water within the estuary. Together with freshwater inputs, the exchange of water with the coastal zone determines the residence time of the water within the estuary. Yet for several of the world’s largest rivers, discharge often exceeds the tidal prism and mixing of freshwater and seawater occurs in coastal waters (e.g., Amazon (Demaster et al., 1996), Changjiang (Edmond et al., 1985), Zaire/Congo (van Bennekom et al., 1978), and Danube (Humborg et al., 1997)). Conversely in the arid and subtropical regions, evapo ration exceeds precipitation during the dry season giving rise to higher salinity in the estuary compared to the adjacent coastal waters. This process typifies inverse estuaries such as the Fitzroy estuary (Radke et al., 2010), the Spencer Gulf (Smith and Veeh, 1989), and the San Quintin Bay (Camacho-Ibar et al., 2003). Because phytoplankton is passively transported along with the water currents, it can only increase within the estuary when net specific growth rates (i.e., the balance between phytoplank ton growth and losses by lysis, grazing, and/or sedimentation) exceed the residence time of the water (Lucas et al., 2009). In many estuaries, the residence time is primarily influenced by river discharge (see Chapter 5.11). Hence, the development of phytoplankton blooms is often, but not always, inversely cor related with river discharge (e.g., Strayer et al., 2008). River discharge varies strongly over different timescales and latitudes and this variability affects phytoplankton dynamics. As a gen eral trend, the timing and magnitude of hydrological factors is more contrasted, episodic, and intense in subtropical and trop ical estuaries due to the seasonal monsoons and the occurrence of droughts, tropical storms, and hurricanes (e.g., Devassy and Goes, 1988; Eyre and Balls, 1999; Briceño and Boyer, 2010). Discharge differences between dry and wet seasons are gener ally two orders of magnitude higher than those observed in temperate estuaries (Eyre and Balls, 1999). In temperate regions, river discharge tends to be higher during winter and lower in summer. In such estuaries, the onset of the phytoplankton bloom in spring often coincides Trends in Estuarine Phytoplankton Ecology with a decrease in river discharge. In the San Francisco Bay estuary, phytoplankton blooms are restricted to periods of low river discharge in summer (Cloern et al., 1983). In the turbid freshwater zone of macrotidal estuaries, phytoplankton blooms are also restricted to sustained periods of low river discharge in summer (Filardo and Dunstan, 1985; Jackson et al., 1987; Sin et al., 1999; Muylaert et al., 2005; Arndt et al., 2007). River discharge is sensitive to meteorological conditions showing contrasted inter-annual variability that is often reflected in phytoplankton biomass. In the lower reaches of the Hudson River estuary, phytoplankton blooms are limited by a short residence time of the water. In years when discharge of the Hudson River is low however, residence time in the estuary increases and phytoplankton blooms can develop (Howarth et al., 2000). In the turbid freshwater zone of temperate macrotidal estuaries, phytoplankton biomass also tends to be higher during dry than wet summers (e.g., Lionard et al., 2008). In tropical estuaries the monsoon-driven seasonal discharge patterns and the episodic pulses of freshwater inputs caused by tropical storms or hurricanes constrain phytoplankton biomass building for short periods immediately following floods, that is, when the turbidity caused by the transported suspended particles is decreased (e.g., Devassy and Goes, 1988; Sarma et al., 2009). The occurrence of drought/flood events strongly influences the bloom pattern, that is, the position and species dominance of the phytoplankton biomass maxima along the estuary (e.g., Valdes-Weaver et al., 2006; Costa et al., 2009). Such a positive correlation between phytoplankton increase and transport time is still not found in some estuaries (see references in Lucas et al., 2009). This is explained by a negative balance of phytoplankton growth versus loss processes due to either elevated grazing (Alpine and Cloern, 1992; Strayer et al., 2008), lysis, or sedimentation rates and suggests that the phy toplankton growth-loss balance is modulating the relationship between phytoplankton development and hydrology (Cloern, 1996). Hence, the different response of phytoplankton taxa such as cyanobacteria and diatoms to changing transport times reported by Paerl et al. (2006) might be explained by differences in species growth physiology and susceptibilities to grazing and sinking (Lucas et al., 2009). 7.02.2.2 Hydro-Sedimentary Processes as Drivers of Light Availability Light is a necessary condition for phytoplankton growth. Light availability in the water column is determined by incident sur face light and the vertical light extinction coefficient KPAR which determines the depth of the euphotic zone. The ratio between the euphotic depth and the upper mixing depth then deter mines the light available to phytoplankton cells when transported up and down in the mixed layer. When the euphotic depth is shallow compared to the mixing depth, photosynthesis is insufficient to compensate for dark respira tion and phytoplankton cells lyse or enter a dormancy phase. Several studies have illustrated the importance of evaluating the mixing-to-euphotic depth ratio for understanding light limitation of phytoplankton development in estuaries (Kromkamp and Peene, 1995; Irigoien and Castel, 1997; Desmit et al., 2005). In estuaries, KPAR is mainly determined by the elevated turbidity that distinguishes many estuaries from 7 freshwater and ocean ecosystems where light attenuation is primarily governed by phytoplankton cells. Turbidity has long been considered as the main factor controlling light availability and hence phytoplankton development in estuaries, irrespec tive of nutrient concentrations (Cloern, 1987; Fichez et al., 1992; Heip et al., 1995). This elevated turbidity is due to high concentrations of suspended sediments driven by essentially three mechanisms acting at different locations along the estu ary: (1) tidal currents or wind or wave action resulting in resuspension of bottom sediments in shallow estuaries; (2) local accumulation of suspended matter at the so-called turbidity maxima; and (3) river inputs of large quantities of suspended sediments of terrestrial origin into the estuary. Tidal currents are particularly strong in estuaries that are situated relatively far from amphidromic points such as those near the English Channel or along the East coast of Canada. By causing resuspension of bottom sediments, the tidal currents have a strong influence on turbidity and hence on light avail able for phytoplankton photosynthesis. Monbet (1992) showed that turbidity is higher and phytoplankton biomass is significantly lower in macrotidal estuaries (>2 m tidal range) compared to microtidal estuaries (<2 m tidal range). Examples of macrotidal estuaries where phytoplankton growth is pre dominantly light-limited by high turbidity are the San Francisco Bay estuary (Cloern, 1987), the tropical Fitzroy estu ary (Radke et al., 2010), the Schelde estuary (Soetaert et al., 1994), and the Gironde estuary (Irigoien and Castel, 1997). In macrotidal estuaries, the tidal range may vary substantially over bi-weekly timescales following the spring–neap tidal cycle. This spring–neap tidal variability is reflected in turbidity and influ ences phytoplankton growth. In the San Francisco Bay estuary, the onset of phytoplankton blooms often coincides with neap tides while blooms are often terminated during spring tides (Cloern, 1991). The typical funnel shape of many estuaries often induces a magnification of the tidal wave, resulting in higher tidal amplitude in the upper freshwater estuary than in the nearby coastal zone. Extreme examples of this phenomenon are the Bay of Fundy in Eastern Canada and the Bristol Channel in England, where the tidal range exceeds 15 m. As a result, turbidity and hence KPAR are often higher in the upper tidal freshwater (e.g., Chubut river estuary: KPAR = 4–6 m−1; euphotic depth = 1.2–0.8 m; Helbling et al., 2010) than the marine (KPAR = 1–2 m−1) region. In the tidal freshwater estuary, phytoplankton growth is only possible in shallow zones (e.g., the Hudson River estuary (Cole et al., 1992); the Scheldt freshwater estuary (Desmit et al., 2005; Muylaert et al., 2005)). Nevertheless, during summer at low discharge and longer residence time, dense phytoplankton blooms may develop in these turbid systems, with chlorophyll a concentrations exceeding 100 mg m−3, that is, much higher than in more downstream zones (Filardo and Dunstan, 1985; Jackson et al., 1987; Schuchardt and Schirmer, 1991; Muylaert et al., 2005). In estuaries that are situated close to amphidromic points, tidal currents are too weak to resuspend bottom sediments. In these estuaries, turbidity is mainly caused by wave and/or wind resuspension. As an example, wind-induced turbidity has been shown responsible for large day-to-day variability in phyto plankton production in San Antonio Bay (Macintyre and Cullen, 1996). 8 Trends in Estuarine Phytoplankton Ecology Maximum turbidity zones are common in relatively long macrotidal estuaries (Uncles et al., 2002) and are formed by two mechanisms: (1) particle accumulation in the residual circulation near the salt wedge of partially stratified estuaries and (2) tidal pumping of particles in estuaries with an asym metrical tidal cycle. Maximum turbidity zones in estuaries are often in regions where primary production is strongly lightlimited (e.g., Soetaert et al., 1994; Radke et al., 2010). In addition to salinity stress, light limitation in the turbidity max imum may constitute a barrier for upward (or downward) transport of marine (or freshwater) phytoplankton taxa. Despite the severe light limitation, increased phytoplankton biomass has been reported in the maximum turbidity zone of some estuaries (e.g., San Francisco Bay estuary (Cloern et al., 1985); the Ouse River estuary (Uncles et al., 1998); and the Fitzroy estuary (Radke et al., 2010)). Most likely, this is caused by physical accumulation rather than physiological growth. Physical accumulation of phytoplankton cells in the maximum turbidity zone may be the result of the same mechanisms by which sediment particles accumulate, that is, by trapping in the residual circulation near the salt wedge or by tidal pumping. Some species from the diatom genus Thalassiosira that tend to be associated with the maximum turbidity zone are often cov ered with a layer of sediment particles, possibly because this enhances trapping of the cells in the turbidity maximum and avoids export of the cells out of the estuary (Cloern et al., 1983; Muylaert and Sabbe, 1996). In turbid estuaries, phytoplankton often spends most of the time in darkness and photosynthesis only occurs in short inter mittent periods when phytoplankton is transported in the shallow euphotic zone. In the absence of grazers, phytoplank ton growth is only possible if respiration rates in the darkness are assumed to be very low (e.g., Kromkamp and Peene, 1995). Several studies have indeed shown that phytoplankton cells can survive prolonged time in total darkness, even up to several months (Dehning and Tilzer, 1989; Wasmund, 1989), which implies a potential for severe reduction of dark respiration rates. It is not always clear whether phytoplankton cells survive dark periods in a state of dormancy or by heterotrophy. It has long been known that many phytoplankton species are capable of taking up simple organic substrates, a heterotrophic nutri tion mode that is referred to as osmotrophy (Lewin and Hellebust, 1970; Lylis and Trainor, 1973; Berman et al., 1977; Hellebust, 1978). When present at sufficiently high concentra tions, such organic molecules can support phytoplankton growth at rates equal to or even higher than in the light (Richmond, 2004). In natural ecosystems, however, the con centration of simple organic molecules is too low (see Chapters 5.02 and 5.03) to sustain osmotrophic growth of phytoplankton. Moreover, the affinity of phytoplankton for such substrates is too low to compete with bacteria (Darley et al., 1979) which are otherwise abundant in estuaries and especially in turbid waters. Supporting this, recent mesocosm experiments demonstrated glucose assimilation by Scheldt estuary phytoplankton but this uptake was much lower than the organotrophic activity associated with ambient bacteria (Van den Meerssche, 2009). Interestingly enough recent studies have shown phytoplankton cells metabolizing complex or recalcitrant organic molecules (Tuchman et al., 2006; Blackburn et al., 2009). In particular, the freshwater green algae Chlamydomonas has recently been shown to metabolize aromatic photo-degradation products of terrestrial origin (Tittel et al., 2009). The generally high inputs of continental organic matter into estuaries and the possible photo-degrada tion at the surface of the estuarine continuum may provide phytoplankton cells with a continuous supply of suitable energy substrates, supporting their energy demands when exposed to prolonged periods of darkness. Turbidity in estuaries not only regulates phytoplankton growth but also controls the community composition, with diatoms better adapted to the turbid conditions that are typical of many estuaries, possible mixotrophs in maximum turbidity zones, and pico-/nano-phytoplankton in low turbid oligotro phic waters. In turbid estuaries, diatoms tend to dominate the phytoplankton community throughout the year when nutrients are sufficient (e.g., Schuchardt and Schirmer, 1991; Muylaert et al., 2000). In estuaries where turbidity is low, diatoms tend to be dominant in spring, when light levels are relatively low and stratification does not occur (Marshall et al., 2006) but dinoflagellates and cyanobacteria are usually more abundant in summer during periods of low discharge, long residence time and minimal flushing rates and turbidity (Valdes-Weaver et al., 2006). 7.02.2.3 Nutrients Besides sufficient light, nutrients are the second necessary con dition for the biosynthesis of new phytoplankton cells. The potential magnitude of phytoplankton bloom is set by the sup ply rate of the least abundant nutrient either nitrogen (N) or phosphorus (P) or silicon (Si) with the latter for the only diatom growth. Many estuaries are nutrient rich because of new inputs from the land surface and remineralization processes occurring in the maximum turbidity zone and sediments. The potential primary production is not however always reached either because estuaries are very turbid imposing light limitation on algal production or because the water renewal rate of the system is very fast. Therefore, phytoplankton’s response to nutrient loads differs from estuary to estuary, from segment to segment, and from time to time within any segment of an estuary. Despite this, an analysis of 40 temperate and subtropical estuaries (Monbet, 1992) shows a clear distinction between microtidal and macrotidal estuaries with the former being much more sensitive to nutrient loads that allow a higher maximum biomass to be reached. The strong tidal influence on water col umn mixing and transport and accumulation of suspended sediments prevailing in macrotidal estuaries limits light availabil ity such that only a fraction of the nutrients imported by the river are used by phytoplankton for their growth. The exported nutrients usually sustain bloom development in the receiving adjacent coastal waters, where turbidity is lower and residence time of the water is longer. The best examples are to be found in European coastal waters bordering the English Channel. In estuaries with long retention times and a favorable underwater light climate for photosynthesis, phytoplankton can use most of the available nutrients. In such systems, nutrient limitation is commonly observed and phytoplankton blooms rely on seasonal and episodic nutrient inputs (Paerl et al., 2010). Nutrient inputs from rivers vary seasonally and inter-annually and this variability is often reflected in phyto plankton biomass. In Chesapeake Bay, a high river flow in spring is often followed by high phytoplankton biomass in Trends in Estuarine Phytoplankton Ecology summer (Jordan et al., 1991). In the North Carolina estuarine system, wet winters result in high nitrogen inputs into the estuary, resulting in higher than average phytoplankton bio mass in the lower estuary (Mallin et al., 1993). On the contrary during periods of low discharge, phytoplankton is often limited by low nutrient concentrations. For instance, in the North Carolina estuarine system (which includes the Neuse River estuary and Pamlico Sound), phytoplankton tends to be N-limited, with P occasionally being co-limiting during periods of low river discharge (Mallin, 1994). In these systems, nutrient limitation can be relieved by episodic pulsed inputs of nutrients from runoff produced in the local watershed during storms (Mallin et al., 1993; Paerl et al., 2001), direct inputs of atmospheric N from rainfall (Paerl et al., 1990) or the transport of nutrients from the coastal ocean during upwelling events (e.g. Lara-Lara et al., 1980). 7.02.2.4 Salinity Gradient The salinity gradient resulting from the mixing of freshwater and seawater is a unique hydrological aspect of estuaries. Salinity is often reported as the major factor determining phy toplankton distribution in estuaries, most species being adapted to high, low, or intermediate salinities, and few species occurring along the entire salinity range. Picoplankton, which has been reported in high concentration in transitional waters and survives in salinity between 5 and 87, appears to be an exception (Paoli et al., 2007). During downstream transport in the estuary, freshwater species experience drastic salinity change. Stenohaline river species (e.g., Asterionella formosa) lyse early in the salinity gra dient because their specific limit of salinity tolerance is exceeded, as evidenced by the high phytoplankton mortality reported in the oligohaline region (salinity <5) of estuaries (Morris et al., 1978; Ahel et al., 1996; Ragueneau et al., 2002). On the contrary, some euryhaline species are able to regulate their intra-cellular osmotic pressure and grow at a higher salinity further seaward in estuaries (Flameling and Kromkamp, 1994; Orive et al., 1998). Among these holo euryhaline species, the most common is the cosmopolite dia tom Cyclotella meneghiniana which is able to grow from freshwater to marine conditions (Carpelan, 1978) reaching an optimum around salinity 18 (Tuchman et al., 1984; Roubeix and Lancelot, 2008). Similarly, marine species that are advected upstream in the estuary by tidal mixing disappear when salinity decreases down to 10 (e.g., Roubeix et al., 2008). Although the disappearance of marine and freshwater spe cies at intermediate salinities is often ascribed only to osmotic stress, recent experiments with pure phytoplankton cultures as well as with natural estuarine phytoplankton communities suggest that light availability may also contribute to the tran sition from a freshwater to a marine community along the salinity gradient (Flameling and Kromkamp, 1994; Lionard et al., 2005b). As the salinity gradient is often also the location of turbidity maximum, the disappearance of marine and fresh water phytoplankton cells near the salinity gradient (Muylaert and Sabbe, 1999) may also be impaired by light limitation. Model reconstruction of an estuarine salinity gradient, making use of three diatom species (stenohaline freshwater (SR), euryhaline freshwater (ER) and euryhaline marine (EM)), shows indeed that along with freshwater and marine species initial 9 conditions, residence time, light availability (Figure 2(b)), and salinity tolerance (Figure 2(c)) are all important in determining the species succession and the magnitude of their bloom along the estuary (Roubeix et al., 2008). 7.02.2.5 Top-Down Control Top-down control of estuarine phytoplankton includes grazing by pelagic (meso-zooplankton and micro-zooplankton) and benthic herbivores. The meso-zooplankton in estuaries is com posed of micro-crustaceans, of which the dominant groups are calanoid copepods in marine and brackish waters and cyclo poid copepods and cladocerans in freshwater. Due to the relatively long generation time of meso-zooplankton, their biomass in estuaries is limited by the low residence time of the water (Pace et al., 1992). Yet copepods have been reported to escape washing out of the estuary by migrating vertically in the water column to avoid downstream-directed ebb currents (Kimmerer et al., 1998). Meso-zooplankton is sensitive to anoxic conditions and may be absent in extremely polluted estuaries with low-oxygen concentrations (Appeltans et al., 2003). Although phytoplankton is important as a food source for meso-zooplankton in estuaries, including the turbid ones (e.g., Tackx et al., 2003), the grazing pressure of meso zooplankton on phytoplankton in estuaries is generally low compared to other ecosystems (White and Roman, 1992). The micro-zooplankton comprises nauplius stages of copepods, and rotifers and protozoa (ciliates and heterotrophic dinoflagellates). Because their growth rates are similar to those of phytoplankton, the grazing pressure of micro-zooplankton is expected to be significant. This is the case in the lower reaches of some estuaries such as the lower Hudson River (Lonsdale et al., 1996) and the San Francisco Bay and the Chesapeake Bay (Murrell and Hollibaugh, 1998) but not in freshwater tidal estuaries such as those of the Potomac tributary of Chesapeake Bay and the Schelde estuary (Lionard et al., 2005a; Sellner et al., 1993), probably because micro-sized diatoms or filamentous cyanobacteria dominate the freshwater assemblages. Benthic filter-feeders may, in some estuaries, be important grazers of phytoplankton (Herman 1993; Lucas et al., 1998). In Danish estuaries, biomass of benthic bivalves (mainly Mytilus edulis) is negatively correlated with chlorophyll a concentra tions in the water column (Conley et al., 2000). A numerical study exploring the phytoplankton dynamics in a shallow tidally mixed estuary in the presence of benthic grazers points out that tidal variability by determining the height of the water column can represent maximum phytoplankton production or consumption, depending on the light availability/grazing bal ance (Lucas et al., 1999). Supporting this, it has been suggested that increases in phytoplankton biomass during water-column stratification are partly due to the fact that phytoplankton is released from grazing by benthic bivalves (Møhlenberg, 1995; Carstensen et al., 2007). The control by benthic bivalves on phytoplankton biomass is particularly clear when the impact of accidentally introduced bivalves is evaluated. Within 2 years, the introduction of the clam Potamocorbula amurensis in the San Francisco Bay estuary in 1986 reduced phytoplankton develop ment by a factor of 2 (Alpine and Cloern, 1992). Dreissena polymorpha, first observed in 1991 in the freshwater zone of the Hudson River estuary, was shown to be filtering the entire 25 100 20 80 15 60 ER SR 10 40 5 20 EM 0 0 Diatoms (µmol-Si l–1) 0 5 10 15 20 25 30 25 100 20 80 15 60 10 40 5 20 0 0 0 5 10 15 20 25 30 (c) 25 Diatoms (µmol-Si l–1) Nutrient (µmol-Si l–1) Diatoms (µmol-Si l–1) (a) Nutrient (µmol-Si l–1) Trends in Estuarine Phytoplankton Ecology 100 20 80 15 60 10 40 5 20 0 Nutrient (µmol-Si l–1) 10 0 0 5 10 15 20 25 30 Salinity Figure 2 Model simulation showing the evolution of stenohaline freshwater (SR) and euryhaline freshwater (ER) and marine (EM) diatoms in salinity gradient for (a) sufficient light, (b) limiting light, and (c) in the absence of ER. The gray line shows the concomitant evolution of silicic acid DSi. Adapted from Roubeix, et al., 2008. estuary volume daily in 1992 (Strayer et al., 1996) resulting in a 85% drop in phytoplankton biomass (Caraco et al., 1997). Altogether, the introduction of bivalves in the San Francisco Bay and the Hudson River also had a negative effect on meso zooplankton (Caraco et al., 1997). 7.02.3 Trends Human activity is directly and indirectly affecting estuarine processes, which has implications for the functioning of the adjacent coastal waters. This, in turn, is influencing biological processes in the lower estuary through the upward advection of active coastal marine species (Cloern and Jassby, 2008). Human pressures in the watershed (population density, land use, agricultural practices, industrial activities, wastewater treat ment, river damming/rectification, and irrigation) and the biogeochemical functioning of the river system determine the level of nutrients (N, P, and Si), suspended particles, and fresh water species entering the estuary (e.g., Billen and Garnier, 1999). Between 1960 and 1990, the input of N and P (relative to Si) to estuaries and coastal seas of wealthier countries increased tremendously in response to increased population density, and economical development (e.g., Billen et al., 2001, 2005; Boesch, 2002) leading to undesirable effects like harmful algal blooms and related oxygen depletion or foam events (e.g., Lancelot, 1995; Pearl et al., 2006). This phenomenon, designated as cultural eutrophication, is now observed in Trends in Estuarine Phytoplankton Ecology developing countries (e.g., major Chinese estuaries including the Changjiang and Zhujiang; Zhang, 1996; Liu et al., 2009) while nutrient inputs to European (e.g., Soetaert et al., 2006) and North-American (e.g., Paerl et al., 2006) estuaries and coastal seas have decreased, especially P because of its banning in wash ing powders and the implementation of wastewater treatment plants with so far, however, little visible effect on eutrophication symptoms. These nutrient modifications occurred in a period of chang ing climate as well. The ways that changing nutrients are processed by phytoplankton differ between stratified and tur bid estuaries and are modulated by climate variability. Climate constrains cloud cover, temperature, river discharge, sediment transport, and deposition/resuspension processes that together determine the available light to the transported cells. Estuaries where phytoplankton production is strongly limited by light or by residence time rarely display signs of eutrophication. In such systems, only a fraction of the nutrients imported by the river are used by phytoplankton and eutrophi cation manifests in the coastal zone, where turbidity is lower and residence time of the water is longer. Examples are to be found in North European macrotidal estuaries such as the Scheldt or the Seine where undesirable eutrophication is observed in spring in the receiving coastal waters (e.g., Lancelot et al., 2007). In stratified estuaries and in estuaries with long residence times and a favorable underwater light climate phytoplankton can use most of the available nutrients (Figure 2). In such systems, nutrient limitation of phytoplankton biomass is com monly observed. This has been particularly documented for large North American estuaries such as the Chesapeake Bay, the Delaware, and the North Carolina estuarine systems (Rudek et al., 1991; Fisher et al., 1992; Mallin, 1994; Pennock and Sharp, 1994; Malone et al., 1996). Those low-turbid estua ries where phytoplankton development is limited by nutrient availability are sensitive to quantitative and qualitative changes in nutrient loads. The increased load of N and P, while Si is maintained, is often associated with a shift in the phytoplankton community dominance toward nuisance or harmful nonsiliceous species such as Pfiesteria piscicida in the Chesapeake Bay (Burkholder et al., 1992), Alexandrium tamarense in the St. Lawrence estuary (Fauchot et al., 2005), mixed dinoflagellate blooms in North Carolina estuaries (Mallin, 1994), and Prorocentrum minimum in Danish estuaries (Carstensen et al., 2007). Similarly, cyanobac teria blooms are reported in the freshwater zones as Microcystis blooms in the Potomac River tributary of Chesapeake Bay (Sellner et al., 1993), the Guadiana estuary (Rocha et al., 2002), and the North Carolina estuarine system (Christian et al., 1986). In turbid estuaries, harmful algal blooms are often absent despite often very high nutrient concentrations. Future changes in riverine nutrient delivery due to improved environmental management are therefore expected to affect phytoplankton development in estuaries where available light and the water residence time are sufficient for allowing a net growth. This is where future regional climate change might have an influence by modulating the river discharge (i.e., droughts vs. floods), the tidal amplitude, and storm events. For instance, the drier and warmer summers expected for North Europe might decrease river discharge and sediment transport in the upper estuaries and improve conditions for 11 freshwater phytoplankton blooming with increased contribu tion of harmful events and nutrient depletions. Most freshwater phytoplankton will, however, lyse when salinity increases and the remineralized nutrients from dead cells will sustain growth of marine phytoplankton in the lower estuary. On the contrary, the expected wetter winter/spring will prevent growth in the estuary and nutrients will be processed in the coastal zone when favorable light conditions are reached. Climate variabil ity will also determine the composition of the biological assemblage and growth conditions at the ocean boundary, which will have an impact on the functioning of the lower estuary. Such ocean–estuary connectivity was recently reported for the San Francisco Bay where a change in the California Current System driven by a cold phase of the East Pacific was triggering phytoplankton blooms (Cloern et al., 2007). This unexpected bloom event, which occurred during a period of nutrient load reduction, was due to a trophic cascade initiated by the intrusion of top predators of benthic bivalves, thus suppressing their pressure on phytoplankton. Expected increased temperature and changing wind stress will affect the coastal ocean hydrodynamics with possible effects on phyto plankton species distribution and growth conditions (light, temperature, and nutrients) that will impact on the functioning of macrotidal estuaries. As suggested by Cloern et al. (2007), estuaries have to be viewed as real interfaces being under the influence of processes occurring in both the river drainage basin and the coastal ocean, both of which are under the control of climate variability while human pressures are mainly located on the watershed. 7.02.4 Conclusions and Perspectives Estuaries are all different but similar in their functioning. Similarities in estuarine phytoplankton successions are the result of the progressive replacement of freshwater species by marine species when salinity is increased. However, their respective contributions and positions along the salinity gra dient differ between estuaries. Both freshwater and marine species obey physiological and ecological principles, their growth being regulated by temperature, light availability, nutrients, and grazing. Both freshwater and marine assemb lages possibly include euryhaline species that resist, to some extent, the osmotic stress in the estuarine mixing zone, permit ting bloom occurrence at intermediate salinities when light is sufficient. Little is known about the contribution of euryhaline species to freshwater and marine assemblages but deserves further attention considering the results obtained by a sensitiv ity analysis on their initial conditions performed with an idealized stratified estuarine model (Roubeix et al., 2008; Figures 2(a)–2(c)). In addition, mixotrophy as a survival strat egy in turbid estuaries needs to be explored. As a general trend, the physical environment, more specifi cally the underwater light climate, and the water residence time control phytoplankton development in estuaries. Typically, conditions that favor phytoplankton blooms are low mixing to-photic depth ratios and low water discharges relative to the estuarine volumes (Figure 3). The former may result from a decrease in mixing depth that relies on the estuary morphology but is influenced by stratification, and/or from a decrease in turbidity. Mechanisms controlling turbidity are complex, 12 Underwater light availablity Euphotic depth Mixing depth Trends in Estuarine Phytoplankton Ecology Water retention time River discharge Estuarine volume Figure 3 Scheme illustrating the control of phytoplankton biomass by water retention time and the underwater light climate in estuaries. Water retention time increases with estuarine volume and decreases with river discharge. The underwater light availability increases with increasing euphotic depth and decreases with increasing mixing depth. Dark area corresponds to conditions favoring high phytoplankton biomass. including import and flocculation of terrestrial sediments, tur bulence created by tidal currents or wind/waves and by mixing of freshwater and seawater. The water residence time is influ enced by the morphology of the estuary and is controlled by river discharge and seawater inflow. While the morphology of the estuary is relatively fixed, river discharge and marine inflow are highly variable and fluctuate at daily, seasonal, and interannual timescales. Because of this strong physical control of phytoplankton growth, elevated nutrient concentrations in estuaries often do not result in visible signs of eutrophication. Signs of eutrophication are only apparent in estuaries where primary production is not severely constrained by light climate and/or water residence time. Differences between estuaries are caused by those physical properties that determine the freshwater and particles trans port, the tidal amplitude and the mixing processes, as well the upward (river) and downward (coastal ocean) boundaries. Worldwide, estuaries are constrained by different prevailing climate, human pressures, and their interactions, making each estuary specific in terms of water residence time, nutrient level, turbidity (light availability), and freshwater/marine species succession. As an example Figures 2(a) and 2(b) compare the effect of light conditions on the development of SR and ER and EM diatoms simulated in an estuarine gradient. While the SR diatoms are little affected in his magnitude and disappear at salinity 6, light limitation delays to higher salinities the devel opment of ER and EM that are more competitive for the uptake of nutrient when light is sufficient (Figures 2(a)–2(c)). The presence (or absence) of ER species has a strong impact on the distribution and magnitude of freshwater and marine spe cies (Figures 2(a)–2(c)). The absence of ER species allows the marine species penetrating the estuary to bloom and deplete nutrients. As the interface between the river and the ocean, estuaries provide complex and fluctuating habitats for freshwater and marine phytoplankton. This high variability complicates the monitoring and assessment of the functioning of estuaries in response to changing climate and anthropogenic pressures. Little is known about, for example, estuary responses when physical changes (e.g., increase/decrease in water residence time and turbidity), climate (e.g., modification of freshwater inflow, temperature, and clouds), or top-down effects (removal/import of filter-feeders) are superimposed onto changing nutrient emissions. Due to the high interest in coun teracting cultural eutrophication, the estuary has long been considered as part of the unidirectional land–ocean contin uum. As suggested by Cloern et al. (2007), one cannot ignore the effect of climate change on the functioning of the coastal ocean and the subsequent impact on the lower estuary. It is therefore urgent to set up online-coupled river–estuary–ocean physical–biogeochemical models of high resolution for describing the effect of changing human pressure in a changing climate. Such models exist for the river drainage basin, the estuary, and the adjacent coastal sea, and have been partially coupled (e.g., Cugier et al., 2005; Lancelot et al., 2007; Arndt et al., 2011) but were never coupled online, that is, allowing freshwater and marine plankton species to develop when trans ported downward and upward in the estuary. 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