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Mass occurrence of nuisance algal species Gonyostomum semen is observed in European humic lakes since 1970s, initially in the Scandinavian countries, then in eastern, central and western part of the continent. In 2002 mass appearances of this flagellate were found in three of 12 investigated humic lakes situated in the Eastern Poland. Lakes with Gonyostomum were situated within small geographical area. The biomass of algae was usually higher than 1 mg dm⁻³ and during summer its distribution was frequently uneven with higher values found in deeper layers. Based on this research we conclude, that G. semen during its spreading on the new area had preferred 6–8 m deep and small lakes with thermal and oxygen stratification as well as with low calcium content, slightly acidic to slightly alkaline pH and moderate color of water.
Extracellular enzymes occurring in aquatic environment are heterogeneous in respect to their origin and function, place, where they are located and their activity. They can be divided into mainly ‘bacterial-origin’ enzymes produced by heterotrophic organisms in order to obtain organic carbon, and mostly ‘phytoplankton-bacterial-origin’ enzymes, which are produced by autotrophic and heterotrophic organisms, and are responsible mainly for obtaining inorganic compounds. Enzymes activity provides information about microorganisms present in given environment and about their physiological state. We hypothesize that the patterns (‘fingerprints’) calculated on the basis of activity of several enzymes both mainly ‘bacterial-origin’ and mainly ‘phytoplankton-bacterial-origin’ may be used to characterise lake ecosystems in terms of the physiological structure of aquatic microorganisms present in these lakes. For the study we selected four lakes from Mazurian Lakes District in north-eastern Poland. Three of them were clear-water (lakes: Kuc, Mikołajskie, Tałtowisko) and ranged from oligotrophy to eutrophy, the fourth (Lake Smolak Duży) was slightly acidic (pH 5.2), highly productive and polyhumic. Activity of phosphatase (PA), L-leucine-aminopeptidase (AMP), β-glucosidase (B-Glu), esterase (EST), glucosaminidase (Glu-ami), glucuronidase (Glu-uro) and cellobiohydrolase (Cellob) were measured fluorometrically. The results were normalised and analysis of agglomerative clustering was performed to create an enzyme activity patterns characteristic for lakes. We found out that the enzymatic pattern reflected trophic differences between studied lakes. The patterns (‘fingerprints’) of enzymes were similar for three clear-water lakes, with urease (U–ase), AMP and EST dominating the overall enzymatic activity, but differed substantially for polyhumic lake, in which considerably high PA and saccharolytic enzyme activities were observed. We conclude that the analysis of enzymatic ‘fingerprints’ can be a useful tool to characterise lakes with respect to their trophic status and physiological diversity of microbial assemblages associated with each particular lake.
The ratio and rates of autotrophic and heterotrophic pathways of organic matter cycles constitute the basic functions of aquatic ecosystem and humic lakes are unique in this respect. The autotrophic and heterotrophic production, the food web structure and the role of microbial communities in three humic lakes (area 1.3–9.2 ha) were studied. The abundance of bacteria, autotrophic picoplankton (APP), nanoflagellates (NF), ciliates, phytoplankton, rotifer and crustacean zooplankton as well as chlorophyll a and primary (¹⁴C method) and bacterial production (³H–thymidine method) were measured. The lakes differed in humic matter content, water colour, pH and hydrology. Two lakes were acidic (pH 5.2–4.9) with different dissolved organic carbon (DOC) content: oligo/mesohumic – 7.1 mg C L⁻¹ , and polyhumic lake – 21 mg C L⁻¹. Due to draining of surrounding meadows, the third lake – formerly humic – experienced changes in the hydrological regime together with liming and fertilisation. Despite low DOC, the oligohumic lake resembled a low productive, typically humic, acidic lake with dominating bacterial production. The lake was characterised by the highest crustaceans biomass and very variable chlorophyll a concentration (between 1.5 and 71 mg Chl a m⁻³). The polyhumic lake had the highest mean and maximal chlorophyll a content but the lowest crustacean biomass, and functioned more like a eutrophic lake. The formerly humic lake had lost probably most of its humic features and experienced a eutrophication process that resulted in a food web structure typical of a shallow eutrophic pond-like environment. The mean chlorophyll a concentration there was at the same level as in an oligohumic lake, but the variability was much lower. This lake can be considered as an example of the posthumic lakes abundant in the managed wetland regions. Microbial communities were numerous in both humic lakes, with bacteria prevailing in microbial biomass in the oligo-humic and APP in the polyhumic lake. In the former humic lake the microbial communities, especially APP, seemed to play a lesser role, while the whole planktonic food web was more balanced. The results demonstrated that uncontrolled drainage and reclamation of wetland can be detrimental to biodiversity of small, mid-forest lakes. Although biodiversity in almost all plankton groups was the highest in the posthumic lake but this lake lacked rare species typical of humic acidic lakes like: Gonyostomum semen, Dictyosphaerium sphagnale from phytoplankton or Holopedium gibberum from crustacean zooplankton. Instead eurytopic species, common in eutrophic waters, were present.
The classic description of a coloured lake implies low productivity (Nauman 1921; cited in Jones 1922). Wetzel (1975) initially classified dystrophic lakes as oligotrophic, but later stated that dystrophy represents a subset of trophic continuum, from oligotrophy to eutrophy, rather than a parallel concept (Wetzel 2001). Other more recent studies have demonstrated that many dystrophic lakes are mesotrophic or even eutrophic (Jones 1992, Keskitalo and Eloranta 1999). Furthermore, the pH of their water can range between 4.1 and 8.0 (Keskitalo and Eloranta 1999), and it is clear that this property should be treated as an additional factor affecting their trophic state. Our own findings from humic acidic lakes of different trophic states and from one posthumic lake (originally humic, now eutrophic with pH = 7), together with data from the literature describing about 40 brown-water lakes, can be used to verify general statements concerning microbial ecology paradigms for humic waters: 1) the bacterial to phytoplankton biomass ratio is generally high and increases with lake water colour; 2) there is a positive relationship between bacterial biomass and the concentration of organic matter expressed in dissolved organic carbon units and as water colour; 3) bacterial production is generally higher than primary production; 4) there is a good correlation between bacterial production and humic matter content; 5) the pH of the water/sediments can modify these relationships by accelerating the rates between the variables mentioned above in neutral pH and/or limiting them in low pH. In this review we show that these statements are not always confirmed by detailed analyses of the available data, suggesting that in addition to the concentration of humic matter, the lake productivity, expressed as chlorophyll a and primary production, also influences the ratios between the compared variables. We also demonstrate that despite being weaker, the relationships between phytoplankton-related variables and bacterial abundance and production in low pH lakes are similar to those in circum-neutral humic waters. In addition, we show that the conversion factors and the proportion of active bacterial cells greatly influence all of the aforementioned relationships.
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