A qualitative study on the regulations influence of the himreen reservoir on phytoplankton in the river Diyala,Iraq

The present investigation assessed the impact of the Himreen Reservoir on the phyto‐plankton composition in the river Diyala (a tributary of the river Tigris). Monthly samples of phytoplankton were collected from three stations; St. 1 (Upstream), St. 2 (Reservoir), St. 3 (Downstream), for the period March 1995 to February 1996. A total of 196 species were recorded. Results showed that there is a significant increase in the total species number in the Downstream station in comparison with the Upstream one. The application of similarity indices indicates that the Reservoir and Downstream station were most similar.     

Occurrence of a Cylindrospermopsis bloom in Louisiana

Cylindrospermopsis raciborskii occurs predominantly in tropical to subtropical freshwaters but appears to be spreading to temperate regions. After the hurricanes of 2005, a bloom of this organism took place in Lake Dauterive and Lake Fausse Pointe in Louisiana. The cyanobacterium dominated the phytoplankton community for three months. Of the three known morphotypes (straight, coiled and spiral) only coiled and spiral were found. In June 2006, 60% of the organisms were of the spiral morphotype but the relative abundance of this morphotype decreased dramatically within the month of June. However, the average density for both morphotypes remained the same until September. Densities (up to 160,000 cells/mL) significantly exceeded the threshold for toxicity. Because the sampled region offers optimal light and nutrient conditions, it is likely that C. raciborskii has been established in this region and future blooms can be expected. Therefore, a monitoring program should be implemented.     

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.     

Optimized extraction of daily bio-optical time series derived from MODIS/Aqua imagery for Lake Tanganyika, Africa

Lake Tanganyika is one of the world's great freshwater ecosystems. In recent decades its hydrodynamic characteristics have undergone important changes that have had consequences on the lake's primary productivity. The establishment of a long-term Ocean Color dataset for Lake Tanganyika is a fundamental tool for understanding and monitoring these changes. We developed an approach to create a regionally calibrated dataset of chlorophyll-a concentrations (CHL) and attenuation coefficients at 490 nm (K490) for the period from July 2002 to December 2006 using daily calibrated radiances retrieved from the MODIS-Aqua sensor. Standard MODIS Aqua Ocean Color products were found to not provide a suitable calibration for high altitude lakes such as the Lake Tanganyika. An optimization of the extraction process and the validation of the dataset were performed with independent sets of in situ measurements. Our results show that for the geographical, atmospheric and optical conditions of Lake Tanganyika: (i) a coastal aerosol model set with high relative humidity (90%) provides a suitable atmospheric correction; (ii) a significant correlation between in situ data and CHL estimates using the MODIS specific OC3 algorithm is possible; and (iii) K490 estimates provide a good level of significance. The resulting validated time series of bio-optical properties provides a fundamental information base for the study of phytoplankton and primary production dynamics and interannual trends. A comparison between surface chlorophyll-a concentrations estimated from field monitoring and from the MODIS based dataset shows that remote sensing allows improved detection of surface blooms in Lake Tanganyika.     

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.     

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.     

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.     

Application of a 3D hydrodynamic-biological model for seasonal and spatial dynamics of water quality and phytoplankton in Lake Erie

In large lakes, temporal variability is compounded by strong spatial variability associated with mesoscale physical processes such as upwelling and basin-scale circulation. Here we explore the ability of a three dimensional model (ELCOM-CAEDYM) to capture temporal and spatial variability of phytoplankton and nutrients in Lake Erie. We emphasized the east basin of the lake, where an invasion by dreissenid mussels has given special importance to the question of spatial (particularly nearshore-offshore) variability and many comparative observations were available. We found that the model, which did not include any simulation of the mussels or of smaller diffuse nutrient sources, could capture the major features of the temperature, nutrient and phytoplankton variations. Within basin variability was large compared to among-basin variability, especially but not exclusively in the western regions. Consistent with observations in years prior to, but not after, the mussel invasion the model predicted generally higher phytoplankton concentrations in the nearshore than the offshore zones. The results suggest that the elevated phytoplankton abundance commonly observed in the nearshore of large lakes in the absence of dreissenid mussels does not have to depend on localized nutrient inputs but can be explained by the favourable light, temperature and nutrient environment in the shallower and energetic nearshore zone. The model is currently being extended to allow simulation of the effects of dreissenid mussels.     

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.     

Cluster analysis of hyperspectral optical data for discriminating phytoplankton pigment assemblages in the open ocean

Optical measurements including remote sensing provide a potential tool for the identification of dominant phytoplankton groups and for monitoring spatial and temporal changes in biodiversity in the upper ocean. We examine the application of an unsupervised hierarchical cluster analysis to phytoplankton pigment data and spectra of the absorption coefficient and remote-sensing reflectance with the aim of discriminating different phytoplankton assemblages in open ocean environments under non-bloom conditions. This technique is applied to an optical and phytoplankton pigment data set collected at several stations within the eastern Atlantic Ocean, where the surface total chlorophyll-a concentration (TChla) ranged from 0.11 to 0.62 mg m^− 3. Stations were selected on the basis of significant differences in the ratios of the two most dominant accessory pigments relative to TChla, as derived from High Performance Liquid Chromatography (HPLC) analysis. The performance of cluster analysis applied to absorption and remote-sensing spectra is evaluated by comparisons with the cluster partitioning of the corresponding HPLC pigment data, in which the pigment-based clusters serve as a reference for identifying different phytoplankton assemblages. Two indices, cophenetic and Rand, are utilized in these comparisons to quantify the degree of similarity between pigment-based and optical-based clusters. The use of spectral derivative analysis for the optical data was also evaluated, and sensitivity tests were conducted to determine the influence of parameters used in these calculations (spectral range, smoothing filter size, and band separation). The results of our analyses indicate that the second derivative calculated from hyperspectral (1 nm resolution) data of the phytoplankton absorption coefficient, a_ph(λ), and remote-sensing reflectance, R_rs(λ), provide better discrimination of phytoplankton pigment assemblages than traditional multispectral band-ratios or ordinary (non-differentiated) hyperspectral data of absorption and remote-sensing reflectance. The most useful spectral region for this discrimination extends generally from wavelengths of about 425-435 nm to wavelengths within the 495-540 nm range, although in the case of phytoplankton absorption data a broader spectral region can also provide satisfactory results.