Indiana University-Purdue University Indianapolis (IUPUI) / Nuisance blue-green algal blooms contribute to aesthetic degradation of water resources and produce toxins that can have serious adverse human health effects. Current field-based methods for detecting blooms are costly and time consuming, delaying management decisions. Remote sensing techniques which utilize the optical properties of blue-green algal pigments (chlorophyll a and phycocyanin) can provide rapid detection of blue-green algal distribution. Coupled with physical and chemical data from lakes, remote sensing can provide an efficient method for tracking cyanobacteria bloom occurrence and toxin production potential to inform long-term management strategies. In-situ field reflectance spectra were collected at 54 sampling sites on two turbid, productive Indianapolis reservoirs using ASD Fieldspec (UV/VNIR) spectroradiometers. Groundtruth samples were analyzed for in-vitro pigment concentrations and other physical and chemical water quality parameters. Empirical algorithms by Gitelson et al. (1986, 1994), Mittenzwey et al. (1991), Dekker (1993), and Schalles et al. (1998), were applied using a combined dataset divided into a calibration and validation set. Modified semi-empirical algorithms by Simis et al. (2005) were applied to all field spectra to predict phycocyanin concentrations. Algorithm accuracy was tested through a least-squares regression and residual analysis. Results show that for prediction of chlorophyll a concentrations within the range of 18 to 170 ppb, empirical algorithms yielded coefficients of determination as high as 0.71, RMSE 17.59 ppb, for an aggregated dataset (n=54, p<0.0001). The Schalles et al. (2000) empirical algorithm for estimation of phycocyanin concentrations within the range of 2 to 160 ppb resulted in an r2 value of 0.70, RMSE 23.97 ppb (n=48, p<0.0001). The Simis et al. (2005) semi-empirical algorithm for estimation of chlorophyll a and phycocyanin concentrations yielded coefficients of determination of 0.69, RMSE 20.51 ppb (n=54, p<0.0001) and 0.85, RMSE 24.61 pbb (n=49, p<0.0001), respectively. Results suggest the Simis et al. (2005) algorithm is robust, where error is highest in water with phycocyanin concentrations of less than 10 ppb and in water where chlorophyll a dominates (Chl:PC>2). A strong correlation between measured phycocyanin concentrations and blue-green algal biovolume measurements was also observed (r2=0.95, p<0.0001).

No description available.

Cyanobacteria are a unique organism, a bacterium that develop photosynthesis, thus it contains chlorophyll, a pigment commonly associated to algae. For this reason, cyanobacteria are also known as blue-green algae. One of the secondary metabolites of cyanobacteria is cyanotoxin, a substance which is hepatoxic, neurotoxic, and dermatoxic. The frequency and intensity of cyanobacterial blooms have been of increasing concern in the last decades for drinking water supply. There is a need to improve monitoring of cyanobacteria content at source water for drinking water supply and its indicators and correlation with other chemical, physical and biological parameters. This study aims to identify the potential cyanobacterial bloom risk in Lake Mälaren by determining the influential chemical and physical parameters using Random Forest in classification mode. The classification was done using the WHO Alert Level Frameworks and study cases for lakes in Sweden. The data used to model was downloaded from the website of the Swedish University of Agricultural Science. It comprises 33 monitoring stations from 1964 to 2020, 21 chemical parameters, including cyanobacteria biovolume and chlorophyll content. Given the heterogeneity of data, the monitoring stations were grouped into Clusters. Using the data, statistical, correlation, time series, and principal component analysis were performed. Through these methods, spatial, distribution and temporal analysis were obtained. Afterwards, several models were determined using Random Forest. However, the mean values of cyanobacteria distributed over time indicated a medium risk, the maximum values suggested high risk in several areas of the Lake. Maximum concentrations were present at the west and northeast of the Lake, where the major inflows from the Watershed are discharged. As the water flows through the basin, the concentration of cyanobacteria reduces by half, which suggested that the large and deep bays act as sedimentation ponds. A very high correlation was found between the Cluster 5 and 6, east and middle northeast of the Lake, respectively. Finally, the contributing factors identified after modelling cyanobacteria as target factor were chlorophyll, month, water temperature, oxygen content, transparency, NO2NO3N, TN/TP, Ca, Mg and Cl. / Cyanobakterier är unika organismer, bakterier som utvecklar fotosyntes, så de innehåller klorofyll, ett pigment som vanligtvis förknippas med alger. Av denna anledning är cyanobakterier också kända som blågröna alger. En av de sekundära metaboliterna av cyanobakterier är cyanotoxin, ett ämne som är hepatoxiskt, neurotoxiskt och dermatoxiskt. Frekvensen och intensiteten av cyanobakterieblomningar har varit ett ökande problem under de senaste decennierna för dricksvattenförsörjningen. Många vattenreningsverk mäter inte innehållet av cyanobakterier i vatten; medan andra kemiska, fysikaliska och biologiska parametrar mäts. Denna studie syftar till att identifiera den potentiella risken för cyanobakteriell blomning i Mälaren genom att bestämma de mest inflytelserika kemiska och fysikaliska parametrarna med hjälp av metoden Random Forest i klassificeringsläge. Klassificeringen gjordes med hjälp av WHO Alert Level Frameworks och olika studier av sjöar i Sverige. Data som användes för att modellera laddades ner från Sveriges Lantbruksuniversitets webbplats. Den omfattar 33 övervakningsstationer från 1964 till 2020, med 21 kemiska parametrar, inklusive cyanobakteriers biovolym och klorofyllhalt. Med tanke på heterogeniteten i data grupperades övervakningsstationerna i kluster. Med hjälp av data utfördes statistisk analys, korrelation, tidsserier och huvudkomponentanalys. Genom dessa metoder erhölls rumslig, distribution och tidsanalys. Efteråt bestämdes flera modeller med hjälp av Random Forest. Medelvärdena för cyanobakterier fördelade över tiden indikerade en medelrisk, medan maximivärdena antydde något annat. Maximala koncentrationer fanns i väster och nordost om Mälaren, där de stora inflödena från vattendelaren släpps ut. När vattnet rinner genom bassängen minskar koncentrationen av cyanobakterier till hälften, vilket tyder på att de stora och djupa vikarna fungerar som sedimentationsdammar. En mycket hög korrelation hittades mellan kluster 5 och 6, öster respektive mellan nordost om sjön. Slutligen var de viktigaste faktorerna som identifierades efter modellering av cyanobakterier som målfaktor klorofyll, månad, vattentemperatur, syrehalt, transparens, NO2NO3N, TN/TP, Ca, Mg och Cl.

Phytohormone auxin plays an important role in regulating plant development. Directional (polar) cell-to-cell auxin transport creates auxin gradients within plant tissues, which trigger a specific developmental response. The vast majority of available data concerns angiosperms. Lower land plants have been much less explored in this regard, but the important auxin-related mechanisms (including polar auxin transport) are already present in mosses. To uncover the origins of auxin action, one must focus on green algae, especially of clade Streptophyta, which are the direct ancestors of all land plants. In this study, the possible effects of auxins, both native and synthetic, were investigated on two algae: basal, unicellular Chlorella lobophora and advanced, filamentous Spirogyra sp. The latter received comparably more attention, since it belongs to a clade now acknowledged as a sister group to land plants. Chlorella lobophora culture growth was irresponsive to synthetic auxin NAA. The average Spirogyra sp. cell length was, however, changed by auxins at high concentrations. By conducting accumulation assays of radioactively labelled auxins and HPLC analysis, auxin metabolism and transport was investigated in Spirogyra sp. This alga was able to metabolize the plant-native IAA, but not synthetic auxins...

Phytoplankter sind die bedeutendsten Primärproduzenten in aquatischen Ökosystemen und leisten ca. 45 % der globalen Primärproduktion. Sie weisen eine hohe taxonomische Diversität mit vielfältigen morphologischen und physiologischen Eigenschaften auf. Funktionelle Eigenschaften, die das licht-, temperatur- und nährstoffabhängige Wachstum sowie Verlustgrößen (Fraß, Sedimentation) beschreiben, sind eine Möglichkeit Phytoplankter zu klassifizieren. Diese Einteilung gewinnt für das Verständnis und die Modellierung der Phytoplanktonsukzession (z.B. in Wassergütemodellen) immer mehr an Bedeutung, da nicht taxonomische, sondern funktionelle Eigenschaften das Vorkommen der Phytoplankter im Gewässer bestimmen. Das Wassergütemodell SALMO ist ein mechanistisches, dynamisches, vertikales 1D-Modell, welches Nährstoffe, Sauerstoff, Detritus, 4 funktionelle Phytoplanktontypen und eine Zooplanktonmischgruppe simuliert. Bei der Modellanwendung wurde ersichtlich, dass die vorhandenen funktionellen Typgruppen teilweise nicht ausreichen, um die funktionelle Diversität der realen Phytoplanktongemeinschaften adäquat widerzuspiegeln. Deshalb wird eine Erweiterung der funktionellen Typgruppen in SALMO angestrebt. Eine empirische Freilanddatenanalyse an zwei morphologisch und trophisch verschiedenen Talsperren ergab insgesamt 10 funktionelle Phytoplanktontypen (Typgruppen 1, 2 und 4 bereits in SALMO vorhanden). Die bestehenden funktionellen Eigenschaften wurden erweitert und teilweise verändert (insgesamt 10 funktionelle Eigenschaften). Die neue funktionelle Typgruppe 6 (unbewegliche, koloniale, gelatinöse Chlorophyceen) wurde in lichtabhängigen Wachstumsversuchen und Fraßversuchen mit Daphnia galeata × hyalina genauer untersucht. Als stellvertretende Art für diese Typgruppe wurde Sphaerocystis schroeteri gewählt. Die Wachstumsversuche bei 20 °C kennzeichneten Sphaerocystis als Starklichtart mit einer relativ hohen Wachstumsrate (Iopt = 250 µmol m-2 s-1; µmax = 0.96 d-1; 12:12 h Hell-Dunkelzyklus). Eigene Nährmediumsversuche wiesen auf eine Abhängigkeit von freiem CO2 hin. Dies bietet eine Erklärung für ihr häufiges Auftreten in oligo- bis mesotrophen Gewässern. Bei Anwesenheit von Daphnia konnte nach 96 h Versuchsdauer eine signifikante Erhöhung der Koloniegröße (Anteil nicht fressbarer Kolonien 3-74 %), im Vergleich zur Kontrolle (Anteil nicht fressbarer Kolonien 0-5 %), festgestellt werden. Dies stellt einen effektiven Fraßschutz gegen größenselektiv filtrierendes Zooplankton wie z.B. Daphnia dar und kann bei hohem Fraßdruck zur Dominanz der Typgruppe führen (z.B. Klarwasserphase in eutrophen Gewässern). Der Effekt war nicht durch Infochemikalien induzierbar. Aus Literaturdaten wurde eine relativ hohes Topt von 27 °C, eine nur mäßige Konkurrentstärke um Phosphor (mittlerer KP-Wert) sowie eine Brutto-Sinkgeschwindigkeit von 1.5 m d-1 entnommen werden. / Phytoplankter are the most important primary producer in aquatic ecosystems and contribute about 45 % to global primary production. Phytoplankton communities usually show an enormous taxonomical diversity. However, besides taxonomical diversity, a phytoplankton can also be characterised by its functional diversity by means of functional traits like resource-dependent growth characteristics (e.g. KI-, KP-, KN-values) or sensitivity to zooplankton grazing and sedimentation. Since functional, and not taxonomic, traits drive the phytoplankton succession, a functional classification of phytoplankton is recognised to be increasingly important for the ecological understanding and modelling of plankton succession (e.g. in water quality models). The mechanistic, dynamic, vertical 1D water quality model SALMO simulates the dynamics of nutrient concentrations (P, N), oxygen, detritus, 4 functional phytoplankton types and 1 mixed zooplankton group. Different model applications showed that the number of phytoplankton types in SALMO was sometimes not sufficient for accounting for the observed functional diversity in phytoplankton communities. Therefore, the aim of this thesis is to extend the functional diversity of phytoplankton types in SALMO. After careful evaluation of empirical data from two reservoirs with different morphology and trophic state 10 functional phytoplankton types are proposed (types 1, 2 and 4 remained unchanged). Existing functional traits in SALMO were extended and partly changed (in total 10 functional traits). For the new functional phytoplankton type 6 (non motile, colonial gelatinous green algae) light-dependent growth rates were measured and grazing experiments with Daphnia galeata × hyalina were carried out in the laboratory. For these experiments, Sphaerocystis schroeteri was chosen as representative species for this group. It is characterised by high light demand and relative high growth rates at 20 °C (µmax = 0.96 d-1, Iopt = 250 µmol m-2 s-1, 12:12 h light-dark cycle). Their growth depends on the availability of free CO2. This explains the common occurrence in oligo-mesotrophic water bodies. The range of the colony sizes of Sphaerocystis increased in the presence of Daphnia significantly (portion of inedible colonies 3-74 %) in contrast to the control (portion of inedible colonies 0-5 %). This was induced by direct size-selective grazing and not by infochemicals. Thus, Sphaerocystis has evolved an effective defence mechanism against size-selective filter-feeding zooplankton and is competitive superior at high zooplankton grazing pressure (e.g. clear water stage in eutrophic waters). The lack of experimentally derived parameters for temperature- and phosphorus-depending growth (Tmin, Topt, KP-value) as well as gross sinking velocity was complemented with literature data. The alga is only moderately competitive for phosphorus and exhibits relatively high minimal and optimal growth temperatures (Tmin = 7 °C, Topt = 27 °C). Since type 6 consists of large, non motile species, gross sinking velocity was estimated to be about 1.5 m d-1.

Good quality of bathing water is an increasingly important factor taken into account when we choose summer vacations, a place to stay for a weekend or a weekend trip destination. In the Czech Republic, bathing waters may be divided according to the legal status into outdoor swimming pools, surface waters used for bathing (swimming areas), other water surfaces or artificial pools. In my thesis I dealt only with outdoor swimming pools and swimming areas. The difference between them lies in the fact that outdoor swimming pools have their own operators who monitor water quality and provide other services in the waterside. Usually there is a fee charged. Swimming areas have no operators and water quality monitoring is placed under the responsibility of regional public health authorities. In the Czech Republic, at present, 188 outdoor swimming pools and swimming areas have been monitored on a regular basis each bathing season. For my research I chose four sites located in the South Bohemian region and four sites in the South Moravian region. For each of these eight sites, I collected results of laboratory analyses, including categories of water quality in bathing seasons of the past five years, it means from the year 2005. With these obtained data I assessed the water quality development both during the bathing season of 2009 and its evolution over the past five years. On the basis of particular categories of water quality I also tried to compare water quality in the South Bohemian and the South Moravian region and also to compare water quality between individual sampling points in one locality. Another aim was to evaluate some measures and interventions made in order to improve water quality. I focused particularly on the pond Olšovec in the South Moravian region and the VN (water reservoir) Orlík in the South Bohemian region. The results do not show any prominent changes in water quality both during the bathing season 2009 and over the past five years. Pronounced fluctuations in water quality were recorded only at certain locations during the 2007 bathing season. Not even between individual regions significant differences in water quality were found. The proportion of individual water quality categories in the two regions did not differ by more than 4%. We can therefore say that water quality in selected localities in the South Bohemian and South Moravian regions is comparable. As for certain measures and interventions implemented to improve water quality, it is important to focus also on the wider neighborhood of the locality, because it could also be a source of substances worsening water quality.

Seaweeds are organisms which live in oceans and seas. They have ability to perform photosynthesis and feed many species of aquatic organisms. Macroalgae, which can be divided by characteristic colors in: Red algae (Phylum Rhodopyta), Green algae (Phylum Chlorophyta) and Brown algae (Class Phaeophyceae). Seaweeds are used for centuries by Asians as an important part of their diet, and also as source of compounds to Pharmaceutical and Cosmetic industries. The Brazilian Northeastern has a large coastal area; it possesses several forms of marine organisms especially for being in a Tropical hot water zone. Based on the importance of macroalgae, a chemical study was conducted using five species of algae (Bryothamnion seaforthii; Colpomenia sinuosa; Dictyosphaeria versluysii, Digenea simplex and Galaxaura rugosa) to prepare methanolic extracts and sequential fractions. 72 substances were identified using the GC-MS technique under the following operation conditions: helium as the carrier gas; 1.52 mL/min flow rate; oven temperature 60 º (25 ºC/min 300 ºC, heating rate); Splitless; injected volume 1 μL; solvent cutting 3 minutes. The mass spectra were obtained in the same equipment by electron impact ionization (EI) at 70 eV; and the ion source was maintained at 300 ° C. Hexadecanoic acid, in all fractions; 1-isopropyl-1,3,4-trimethyl-cyclohexane, 1,4-diisopropyl-cyclohexane and isopentyl decanoate, first identified in seaweeds; several esters, hydrocarbons and fatty acids can be mentioned as identified substances. / Conselho Nacional de Desenvolvimento Científico e Tecnológico / Alga é uma forma de vida que vive em oceanos e mares e possui a capacidade de realizar fotossíntese e servir de alimento e/ou abrigo para muitas espécies de organismos aquáticos. As macroalgas, que podem ser divididas pela cor característica que possuem, em algas vermelhas (Filo Rhodophyta), verdes (Filo Chlorophyta) e pardas (Classe Phaeophyceae), são utilizadas pelos orientais como parte importante de sua alimentação há vários séculos, além de utilizá-las como fonte de produtos farmacêuticos e da indústria de cosméticos. O nordeste brasileiro possui uma vasta área litorânea e costeira sendo rico em diversas formas de vida marinha, principalmente por estar em uma zona tropical de águas quentes. Com base na importância destas macroalgas, foi realizado um estudo químico de cinco espécies de algas, Bryothamnion seaforthii, Colpomenia sinuosa, Dictyospharia versluysii, Digenea simplex e Galaxaura rugosa, através de extratos metanólicos e frações. A técnica de cromatografia gasosa acoplada à espectroscopia de massas foi utilizada com as seguintes condições de operação: hélio como gás de arraste; velocidade do fluxo, 1,52 mL/min; a temperatura inicial do forno foi 60 ºC, com uma taxa de aquecimento de 25 ºC/min até 300 ºC; “Splitless”, como modo de injeção; 1 μL de volume injetado; e corte do solvente em 3 minutos. O tempo total de corrida foi 25 minutos. Os espectros de massas foram obtidos no mesmo equipamento, através de ionização por impacto de elétrons (EI) de 70 eV; e a fonte de íons foi mantida a 300 ºC. Desse modo foram identificadas 72 substâncias, dentre as quais podem ser citadas: ácido hexadecanoico, presente em todas as frações; os hidrocarbonetos 1-isopropil-1,3,4-trimetilcicloexano, 1,4-di-isopropilcicloexano e decanoato de isopentila, identificados pela primeira vez em algas; além de diversos ésteres, hidrocarbonetos e ácidos graxos.

This master´s thesis deals with the suppression of algal growth on concrete structures. The subject of the work is to design and coatings their own structural concretes containing protective element in order to inhibit the growth of algae. As the coating are tested commercially avaiable and newly created systems. Testing systems are based on the portland cement and chelates of metal (Cu, Ni, Co, Mn, Zn, Al).

Phytoplankter sind die bedeutendsten Primärproduzenten in aquatischen Ökosystemen und leisten ca. 45 % der globalen Primärproduktion. Sie weisen eine hohe taxonomische Diversität mit vielfältigen morphologischen und physiologischen Eigenschaften auf. Funktionelle Eigenschaften, die das licht-, temperatur- und nährstoffabhängige Wachstum sowie Verlustgrößen (Fraß, Sedimentation) beschreiben, sind eine Möglichkeit Phytoplankter zu klassifizieren. Diese Einteilung gewinnt für das Verständnis und die Modellierung der Phytoplanktonsukzession (z.B. in Wassergütemodellen) immer mehr an Bedeutung, da nicht taxonomische, sondern funktionelle Eigenschaften das Vorkommen der Phytoplankter im Gewässer bestimmen. Das Wassergütemodell SALMO ist ein mechanistisches, dynamisches, vertikales 1D-Modell, welches Nährstoffe, Sauerstoff, Detritus, 4 funktionelle Phytoplanktontypen und eine Zooplanktonmischgruppe simuliert. Bei der Modellanwendung wurde ersichtlich, dass die vorhandenen funktionellen Typgruppen teilweise nicht ausreichen, um die funktionelle Diversität der realen Phytoplanktongemeinschaften adäquat widerzuspiegeln. Deshalb wird eine Erweiterung der funktionellen Typgruppen in SALMO angestrebt. Eine empirische Freilanddatenanalyse an zwei morphologisch und trophisch verschiedenen Talsperren ergab insgesamt 10 funktionelle Phytoplanktontypen (Typgruppen 1, 2 und 4 bereits in SALMO vorhanden). Die bestehenden funktionellen Eigenschaften wurden erweitert und teilweise verändert (insgesamt 10 funktionelle Eigenschaften). Die neue funktionelle Typgruppe 6 (unbewegliche, koloniale, gelatinöse Chlorophyceen) wurde in lichtabhängigen Wachstumsversuchen und Fraßversuchen mit Daphnia galeata × hyalina genauer untersucht. Als stellvertretende Art für diese Typgruppe wurde Sphaerocystis schroeteri gewählt. Die Wachstumsversuche bei 20 °C kennzeichneten Sphaerocystis als Starklichtart mit einer relativ hohen Wachstumsrate (Iopt = 250 µmol m-2 s-1; µmax = 0.96 d-1; 12:12 h Hell-Dunkelzyklus). Eigene Nährmediumsversuche wiesen auf eine Abhängigkeit von freiem CO2 hin. Dies bietet eine Erklärung für ihr häufiges Auftreten in oligo- bis mesotrophen Gewässern. Bei Anwesenheit von Daphnia konnte nach 96 h Versuchsdauer eine signifikante Erhöhung der Koloniegröße (Anteil nicht fressbarer Kolonien 3-74 %), im Vergleich zur Kontrolle (Anteil nicht fressbarer Kolonien 0-5 %), festgestellt werden. Dies stellt einen effektiven Fraßschutz gegen größenselektiv filtrierendes Zooplankton wie z.B. Daphnia dar und kann bei hohem Fraßdruck zur Dominanz der Typgruppe führen (z.B. Klarwasserphase in eutrophen Gewässern). Der Effekt war nicht durch Infochemikalien induzierbar. Aus Literaturdaten wurde eine relativ hohes Topt von 27 °C, eine nur mäßige Konkurrentstärke um Phosphor (mittlerer KP-Wert) sowie eine Brutto-Sinkgeschwindigkeit von 1.5 m d-1 entnommen werden. / Phytoplankter are the most important primary producer in aquatic ecosystems and contribute about 45 % to global primary production. Phytoplankton communities usually show an enormous taxonomical diversity. However, besides taxonomical diversity, a phytoplankton can also be characterised by its functional diversity by means of functional traits like resource-dependent growth characteristics (e.g. KI-, KP-, KN-values) or sensitivity to zooplankton grazing and sedimentation. Since functional, and not taxonomic, traits drive the phytoplankton succession, a functional classification of phytoplankton is recognised to be increasingly important for the ecological understanding and modelling of plankton succession (e.g. in water quality models). The mechanistic, dynamic, vertical 1D water quality model SALMO simulates the dynamics of nutrient concentrations (P, N), oxygen, detritus, 4 functional phytoplankton types and 1 mixed zooplankton group. Different model applications showed that the number of phytoplankton types in SALMO was sometimes not sufficient for accounting for the observed functional diversity in phytoplankton communities. Therefore, the aim of this thesis is to extend the functional diversity of phytoplankton types in SALMO. After careful evaluation of empirical data from two reservoirs with different morphology and trophic state 10 functional phytoplankton types are proposed (types 1, 2 and 4 remained unchanged). Existing functional traits in SALMO were extended and partly changed (in total 10 functional traits). For the new functional phytoplankton type 6 (non motile, colonial gelatinous green algae) light-dependent growth rates were measured and grazing experiments with Daphnia galeata × hyalina were carried out in the laboratory. For these experiments, Sphaerocystis schroeteri was chosen as representative species for this group. It is characterised by high light demand and relative high growth rates at 20 °C (µmax = 0.96 d-1, Iopt = 250 µmol m-2 s-1, 12:12 h light-dark cycle). Their growth depends on the availability of free CO2. This explains the common occurrence in oligo-mesotrophic water bodies. The range of the colony sizes of Sphaerocystis increased in the presence of Daphnia significantly (portion of inedible colonies 3-74 %) in contrast to the control (portion of inedible colonies 0-5 %). This was induced by direct size-selective grazing and not by infochemicals. Thus, Sphaerocystis has evolved an effective defence mechanism against size-selective filter-feeding zooplankton and is competitive superior at high zooplankton grazing pressure (e.g. clear water stage in eutrophic waters). The lack of experimentally derived parameters for temperature- and phosphorus-depending growth (Tmin, Topt, KP-value) as well as gross sinking velocity was complemented with literature data. The alga is only moderately competitive for phosphorus and exhibits relatively high minimal and optimal growth temperatures (Tmin = 7 °C, Topt = 27 °C). Since type 6 consists of large, non motile species, gross sinking velocity was estimated to be about 1.5 m d-1.

No description available.