Causes of phytoplankton changes in Saginaw Bay,Lake Huron,during the zebra mussel invasion

Colonization of the Laurentian Great Lakes by the invasive mussel Dreissena polymorpha was a significant ecological disturbance. The invasion reached Saginaw Bay, Lake Huron, in 1991 and initially cleared the waters and lowered algal biomass. However, an unexpected result occurred 3 years after the initial invasion with the return of nuisance summer blooms of cyanobacteria, a problem that had been successfully addressed with the implementation of phosphorus controls in the late 1970s. A multi-class phytoplankton model was developed and tested against field observations and then used to explore the causes of these temporal changes. Model scenarios suggest that changes in the phytoplankton community can be linked to three zebra mussel-mediated effects: (1) removal of particles resulting in clearer water, (2) increased recycle of available phosphorus throughout the summer, and (3) selective rejection of certain Microcystis strains. Light inhibition of certain phytoplankton assemblages and the subsequent alteration of competitive dynamics is a novel result of this model. These results enhance our understanding of the significant role of zebra mussels in altering lower trophic level dynamics of Saginaw Bay and suggest that their physical re-engineering of the aquatic environment was the major force driving changes in the phytoplankton community composition.     

Biomarkers of algal populations in phytoplankton,filamentous algae,and sediments from the eastern basin of Lake Erie 2003–2005

Algal carotenoids (n:16) and chlorophylls (n:7) were determined in phytoplankton (n:60), filamentous algae (n:14) and sediments (n:44), collected from two nearshore sites in eastern Lake Erie (Van Buren Point (VBP), 6.5 m; Point Gratiot (PG), 17 m), during summer and fall of 2003, 2004 and 2005. The most prominent biomarkers for diatoms (fucoxanthin), cryptophytes (alloxanthin), chlorophytes (chlorophyll-b) and cyanobacteria (zeaxanthin) revealed temporal variations in phytoplankton community composition, which were correlated to water temperatures: i) seasonal succession, from diatoms with some cryptophytes in June (cool), to an increased percentage of chlorophytes and cyanobacteria in August and September (warm); ii) differences between 2004 (cool; cryptophytes more abundant) and 2005 (warm; chlorophytes more abundant). Filamentous algae (chlorophytes, epiphytic diatoms; some cyanobacteria) varied in condition, according to levels of chl-a, pheopigments, and class biomarkers: high, at VBP (growing; decaying; bont/E suspect); low, at PG (mostly dead). Relative to phytoplankton, sediments were depleted in several biomarkers (chl-a; diadino-, neo- and violaxanthin) but enriched with others, particularly at PG (pheopigments; diatoxanthin; canthaxanthin, echinenone; alloxanthin). Sediment composition was characterized by strong differences between sites (chl-a, chl-b and fucoxanthin nearly 10-fold greater at VBP than PG) and increasing accumulation of biomarkers from year-to-year. A linear log–log function, relating total carotenoids to total chlorophylls (intercept −0.516, slope 1.054, r² 0.96), implied increased biodegradation among specimen types: levels of pigments (pmol/g ww) decreased three orders of magnitude, from phytoplankton, through filamentous algae, to sediments. Deviation from a 1:1 relationship indicated 1.7-fold depletion of carotenoids relative to chlorophylls at mid-range.     

Spatial,seasonal, and historical variation of phytoplankton production in Lake Michigan

There have been few direct measurements of phytoplankton production made in Lake Michigan since invasive dreissenid mussels became established in the lake. Here we report the results of 64 measurements of phytoplankton primary production made in Lake Michigan during 2016 and 2017. We conducted two lake-wide surveys, one in the spring 2016 isothermal period and one after summer stratification in 2017 and examined seasonal production with bi-weekly sampling between May and November 2017 at an offshore station in the southwestern part of the lake. We assessed nearshore-offshore gradients by sampling at three transect locations on three occasions in 2017. Spring 2016 production and production:biomass (P:B) ratios (reflective of growth rates) were similar across the lake and were higher than those reported before dreissenid mussels became established, suggesting that despite decreases in phytoplankton biomass, growth rates remain high. Summer 2017 production and growth rates increased from south to north. Areal production in 2017 peaked in late summer. Mean 2017 summer production (499 ± 129 mg C m^?2 day^?1) was lower than values reported prior to the mussel invasion, and the fraction of total production occurring in the deep chlorophyll layer was about half that measured pre-mussels. At the offshore site picoplankton accounted for almost 50 % of the chlorophyll. As spring P:B ratios have increased and summer P:B and seston carbon:phosphorus ratios have not changed, we conclude that the decrease in phytoplankton production in Lake Michigan is due primarily to grazing by mussels rather than to stronger nutrient limitation.     

An analysis of long-term phytoplankton dynamics in Muskegon Lake, a Great Lakes Area of Concern

Long-term monitoring of aquatic ecosystems is essential to distinguish the effects of human-induced stressors from natural patterns of ecologic variation, especially in Great Lakes Area of Concern such as Muskegon Lake. Samples collected between 2003-2009, as part of a continuing long-term monitoring study of the lake, were analyzed to: 1) detect spatial and temporal patterns in the phytoplankton biovolume and species composition; 2) evaluate the environmental variables that regulate phytoplankton community composition changes; and 3) determine the ecological conditions under which toxin-producing Microcystis species occur. Distinct patterns in Muskegon Lake phytoplankton were not evident among sites, which can be explained, at least in part, by the well-mixed waters in this drowned river mouth system. However, surface and bottom samples within sites had significantly different biovolume and species composition, suggesting that horizontal mixing did not extend throughout the water column. Surface samples had greater phytoplankton biovolume than bottom samples, possibly because of greater irradiance. Seasonally, the least biovolume was recorded in spring samples, which were dominated by diatoms. Phytoplankton biovolume was greatest in the summer when cyanobacteria were abundant. Environmental variables that correlated highly with the ordination space defined by species composition included sulfate, specific conductance, total dissolved solids, and chloride. Results from regression tree analysis predicted increasing biovolume of Microcystis aeruginosa with increasing concentrations of the total Kjeldahl nitrogen. The seven-year period of this study did not reveal major changes in the lake's environment and phytoplankton communities, but the presence of invasive and toxin-producing species warrants their continued monitoring.     

Mathematical modeling of bacteria–virus interactions in Lake Michigan incorporating phosphorus content

Viruses are ubiquitous in aquatic ecosystems and play a critical role in nutrient cycling because viral lysis of cells releases phosphorus, an essential and often limiting nutrient. Previous models have examined dynamics of bacterial and viral communities, but with limited analysis and without explicit consideration of nutrients. A recent model (Fuhrman et al., 2011; Math. Comp. Model. 53, 716-730) incorporated internal nutrient content of bacteria and viruses. In the present study, we modified and tested the model with data from natural planktonic communities from Lake Michigan. Replicate 20 L water samples (135 μm screened), were either untreated or enriched with 8 μM phosphate, and bacterial and viral abundance, chl a fluorescence, and phosphorus (total and dissolved inorganic) were monitored for two weeks. Fuhrman et al.'s model (modified to include phytoplankton) was applied to the data, fitting burst size, lytic latent period and virus decay rate. For enriched samples, model fits were good and parameters were consistent with measurements in other freshwater ecosystems. However, for unenriched samples, where nutrient concentrations approached detection limits, model fits were relatively poorer. The model predicted similar viral decay rates but higher burst sizes and longer latent period in phosphorus-limited versus enriched conditions, underlining the potential importance of nutrients in host–virus interactions. The model is likely to be most useful in meso- to eutrophic systems; requirements for future model development and parameter estimation for application to oligotrophic lakes are discussed.     

Harmful algae and their potential impacts on desalination operations off southern California

Seawater desalination by reverse osmosis (RO) is a reliable method for augmenting drinking water supplies. In recent years, the number and size of these water projects have increased dramatically. As freshwater resources become limited due to global climate change, rising demand, and exhausted local water supplies, seawater desalination will play an important role in the world's future water supply, reaching far beyond its deep roots in the Middle East. Emerging contaminants have been widely discussed with respect to wastewater and freshwater sources, but also must be considered for seawater desalination facilities to ensure the long-term safety and suitability of this emerging water supply. Harmful algal blooms, frequently referred to as ‘red tides’ due to their vibrant colors, are a concern for desalination plants due to the high biomass of microalgae present in ocean waters during these events, and a variety of substances that some of these algae produce. These compounds range from noxious substances to powerful neurotoxins that constitute significant public health risks if they are not effectively and completely removed by the RO membranes. Algal blooms can cause significant operational issues that result in increased chemical consumption, increased membrane fouling rates, and in extreme cases, a plant to be taken off-line. Early algal bloom detection by desalination facilities is essential so that operational adjustments can be made to ensure that production capacity remains unaffected. This review identifies the toxic substances, their known producers, and our present state of knowledge regarding the causes of toxic episodes, with a special focus on the Southern California Bight.     

Which offers more scope to suppress river phytoplankton blooms: Reducing nutrient pollution or riparian shading?

River flow and quality data, including chlorophyll-a as a surrogate for river phytoplankton biomass, were collated for the River Ouse catchment in NE England, which according to established criteria is a largely unpolluted network. Against these data, a daily river quality model (QUESTOR) was setup and successfully tested. Following a review, a river quality classification scheme based on phytoplankton biomass was proposed. Based on climate change predictions the model indicated that a shift from present day oligotrophic/mesotrophic conditions to a mesotrophic/eutrophic system could occur by 2080. Management options were evaluated to mitigate against this predicted decline in quality. Reducing nutrient pollution was found to be less effective at suppressing phytoplankton growth than the less costly option of establishing riparian shading. In the Swale tributary, ongoing efforts to reduce phosphorus loads in sewage treatment works will only reduce peak (95th percentile) phytoplankton by 11%, whereas a reduction of 44% is possible if riparian tree cover is also implemented. Likewise, in the Ure, whilst reducing nitrate loads by curtailing agriculture in the headwaters may bring about a 10% reduction, riparian shading would instead reduce levels by 47%. Such modelling studies are somewhat limited by insufficient field data but offer a potentially very valuable tool to assess the most cost-effective methods of tackling effects of eutrophication.     

The contribution of phytoplankton degradation to chromophoric dissolved organic matter (CDOM) in eutrophic shallow lakes: Field and experimental evidence

Eight field campaigns in the eutrophic, shallow, Lake Taihu in the summers from 2005 to 2007, and a phytoplankton degradation experiment of 33 days, were carried out to determine the contribution of phytoplankton degradation to CDOM. Significant and positive correlations were found between the CDOM absorption coefficient at 355 nm [a_CDOM(355)], normalized fluorescence emission (QSU) at 450 nm from excitation at 355 nm [F_n(355)], and the chlorophyll a (Chla) concentration for all eight field campaigns, which indicates that the decomposition and degradation of phytoplankton is an important source of CDOM. In the degradation experiment, the CDOM absorption coefficient increased as phytoplankton broke down during the first 12 days, showing the production of CDOM from phytoplankton. After 12 days, a_CDOM(355) had increased from the initial value 0.41 ± 0.03 m⁻¹ to 1.37 ± 0.03 m⁻¹ (a 234% increase), and the Chla concentration decreased from the initial value of 349.1 ± 11.2 μg/L to 30.4 ± 13.2 μg/L (a 91.3% decrease). The mean daily production rate of CDOM from phytoplankton was 0.08 m⁻¹ for a_CDOM(355). Parallel Factor Analysis (PARAFAC) was used to assess CDOM composition from EEM spectra, and four components were identified: a terrestrial-like humic component, two marine-like humic components, and a protein-like component. The rapid increase in marine-like humic fluorophores (C3 and C4) during the degradation experiment suggests that in situ production of CDOM plays an important role in the dynamics of CDOM. The field campaigns and experimental data in the present study show that phytoplankton can be one of the important CDOM producers in eutrophic shallow lakes.     

The British river of the future: How climate change and human activity might affect two contrasting river ecosystems in England

The possible effects of changing climate on a southern and a north-eastern English river (the Thames and the Yorkshire Ouse, respectively) were examined in relation to water and ecological quality throughout the food web. The CLASSIC hydrological model, driven by output from the Hadley Centre climate model (HadCM3), based on IPCC low and high CO₂ emission scenarios for 2080 were used as the basis for the analysis. Compared to current conditions, the CLASSIC model predicted lower flows for both rivers, in all seasons except winter. Such an outcome would lead to longer residence times (by up to a month in the Thames), with nutrient, organic and biological contaminant concentrations elevated by 70-100% pro-rata, assuming sewage treatment effectiveness remains unchanged. Greater opportunities for phytoplankton growth will arise, and this may be significant in the Thames. Warmer winters and milder springs will favour riverine birds and increase the recruitment of many coarse fish species. However, warm, slow-flowing, shallower water would increase the incidence of fish diseases. These changing conditions would make southern UK rivers in general a less favourable habitat for some species of fish, such as the Atlantic salmon (Salmo salar). Accidental or deliberate, introductions of alien macrophytes and fish may change the range of species in the rivers. In some areas, it is possible that a concurrence of different pressures may give rise to the temporary loss of ecosystem services, such as providing acceptable quality water for humans and industry. An increasing demand for water in southern England due to an expanding population, a possibly reduced flow due to climate change, together with the Water Framework Directive obligation to maintain water quality, will put extreme pressure on river ecosystems, such as the Thames.     

Microbiological and chemical study of the nile river water quality

This study aims to Integrate the biological and chemical characteristics of Nile river to evaluate the trophic and autotrophic state of the river. The use of biological indices especially phytoplankton as an indicator of pollution, and the relation between some chemical variables revealed that the Nile river has poor quality water and light pollution conditions. Regarding the bacteriological examination, the results showed seasonal fluctuation of the faecal indicator bacteria, new indicators of pollution and pathogenic bacteria with highly significant correlation between the faecal bacterial indicators. The use of total yeasts as indicators of pollution revealed significant negative correlation with classical bacterial indicators. The statistical analysis between some bacterial and chemical variables (algal groups and chlorophyll “a") indicated significant relation between each other. The variation of zooplankton counts in the four seasons was positively correlated with the chlorophyll “a” concentration, both zooplankton and chlorophyll “a” content peak in the winter. The virological examination showed only one sample which induced CPE in BGM cells, and the virus count was 12 plaque forming unit per liter (PFU/L).