Next Article in Journal
Evaluation of the Use of Limestones for the Removal of Arsenic from Groundwater
Previous Article in Journal
Evaluation of Water Quality in the Production of Rainbow Trout (Oncorhynchus mykiss) in a Recirculating Aquaculture System (RAS) in the Precordilleran Region of Northern Chile
Previous Article in Special Issue
Prediction of Three Sediment Phosphorus Indexes on Water Column Phosphorus Across Seasons in the Xiashan Reservoir, Northern China
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Microalgae as Bioindicators of Changes in Permafrost Catchments: A Reference Area of the Olyokma Nature Reserve, Yakutia

by
Sophia Barinova
1,*,
Viktor A. Gabyshev
2,
Olga I. Gabysheva
2 and
Eduard M. Gabyshev
3
1
Institute of Evolution, University of Haifa, Mount Carmel, 199 Abba Khoushi Ave., Haifa 3498838, Israel
2
Institute for Biological Problems of Cryolithozone Siberian Branch of Russian Academy of Science (IBPC SB RAS), Lenin Ave., 41, 677980 Yakutsk, Russia
3
Olyokma Nature Reserve, Brovina St., 6, 678100 Olyokminsk, Russia
*
Author to whom correspondence should be addressed.
Water 2025, 17(11), 1686; https://doi.org/10.3390/w17111686
Submission received: 29 March 2025 / Revised: 31 May 2025 / Accepted: 31 May 2025 / Published: 2 June 2025
(This article belongs to the Special Issue Nutrient Cycling and Removal in Watersheds)

Abstract

Olyokma Nature Reserve, where we conducted our research, is in Eastern Siberia in the middle taiga zone in an area characterized by continuous permafrost. This is the only protected area in the region with a complete reserve regime, where there is no human activity. Here, we studied 14 different types of water bodies located along the Olyokma River valley, 13 of which were studied for the first time. For some of the studied water bodies, a high content of biogenic elements was noted, which may be associated with the characteristics of permafrost water bodies, which are under nutrient release from permafrost thaw. The concentration of several biogenic elements, including ammonium, nitrates and phosphates, increases in the water of the lakes toward the bottom of the river valley. In the composition of various communities of these water bodies, including both planktonic and non-planktonic, we identified 246 species and varieties of microalgae. The abundance and biomass of phytoplankton, as well as the number of species, decreased down the river valley. At the same time, at the upper stations there were more diatoms; while at the stations down the valley, green algae came to the fore; and even lower down, cyanobacteria prevailed. At the lower stations, the indicators of microalgae development were minimal. In accordance with the bioindicative properties of microalgae, a decrease in the trophic status of water bodies was noted down the river valley, which, in our opinion, is a characteristic feature of the waters of an undisturbed catchment basin in the permafrost area. This indicates that the studied aquatic ecosystem changes within a set of environmental and biological indicators, that is, it exists in natural conditions for this catchment basin. Research on the territory of Olyokma Nature Reserve allowed us to obtain information on natural transformation and removal of nutrients in permafrost catchments, while excluding the likelihood of anthropogenic impact on these processes.

1. Introduction

Permafrost catchments are impacted by the influx of nutrients into water bodies from the active soil layer. Climate warming and permafrost thawing can change the abiotic conditions and trophic properties of cryolithozone water bodies [1] and also contribute to the growth of nutrients in them, since permafrost is capable of releasing more nutrients into surface runoff than the already depleted active layer [2]. The impact of nutrient influx on the development of primary producers in permafrost catchments is noted in various regions of the world [3,4,5,6,7,8].
Water characteristics such as physical and chemical properties taken alone may not reflect the actual state of water quality or the impact of dissolved substances on aquatic organisms. Therefore, biological methods have been developed and applied to assess water quality and the impact of pollutants on various aspects of the life of organisms exposed to them [9]. The presence, quantity and distribution of certain species, called bioindicators, can help determine water quality. One of the most used water quality indicators is microalgae. These single-celled organisms can be found in freshwater or saline water environments and play a key role as primary producers in the food chain. Microalgae are widely used as water quality bioindicators in various studies [10,11], and since these organisms quickly respond to physical and chemical changes in water, we selected them as indicators of nutrient content in permafrost water bodies.
Olyokma Nature Reserve was organized in 1984 with the purpose of preserving the mountain taiga complexes of the south of Yakutia in their natural state with all their components, studying the natural course of natural processes and phenomena in them and developing scientific foundations for nature management, to compensate for anthropogenic impact in the Baikal–Amur Mainline zone and the South Yakut industrial complex. The territory of the reserve, with an area of 8.5 thousand square kilometers, is in the northeast of the Asian subcontinent, on the right bank of the Olyokma River, at the junction of the Lena Plateau and Aldan Highlands. Within the reserve, there is a complete reserve regime, which implies a ban on all types of human activity. The nearest settlement is the Kudu-Kyuyol rural area, located 100 km from the northern border of the reserve, on the Olyokma River. Natural complexes on the territory of Olyokma Nature Reserve are preserved in their original, undisturbed state, and being a reference, are highly representative of the middle taiga zone. Olyokma Nature Reserve is the only protected area in the region, with a complete absence of any economic and recreational or tourist activities. The natural state of the aquatic ecosystem on the territory of Olyokma Nature Reserve, excluding any anthropogenic impact, significantly increases its value as an object for our research.
To date, the study of the algal flora of Olyokma Nature Reserve has been limited to the investigation of algal communities of river plankton. Collection of algological material within the reserve was carried out on the Olyokma, Amga and Tuolba Rivers during the open water period from 1992 to 1995. A total of 240 species and varieties of algae from eight divisions were identified in the flora of the reserve [12,13,14,15,16]. In 2011, we obtained data on the plankton algae of the Olyokma River, which includes data not only on the section of the river within the Olyokma Nature Reserve, but also upstream and downstream [17]. However, the large diversity of non-planktonic biotopes in the Olyokma Nature Reserve, as well as many lakes and other standing water bodies along the river valley, remain unstudied in terms of algology. At the same time, the relationship between the diversity of algae and the influx of nutrients from the Olyokma River catchment basin has also not been studied, although it is known that nutrients availability is a key determinant of the capacity for phytoplankton biovolume in lentic systems [18]. It should be clarified that this is precisely where natural and laboratory systems differ. While in experimental controlled systems the term “dilution” is appropriate, when diluting the concentration of a solution, in natural systems the term “ecosystem” is appropriate, implying the interrelated changes in the environment and the organisms that inhabit it, which is what we discuss in this paper.
The aim of our work was to evaluate the changes in the community of algae and cyanobacteria in response to changes in nutrients in the permafrost landscape and water system using data on the chemical composition of waters and microalgae-bioindicators under the conditions of a typical natural system of natural protected area.

2. Materials and Methods

2.1. Site Description

The territory of the reserve is in the zone of continuous permafrost, within the subzone of the middle taiga, in the region of the sharply continental climate of Central Siberia, at the junction of two physical–geographical countries—Central Siberian and mountainous Southern Siberia. According to the geological and geomorphological structure, the territory is divided into clearly distinguishable parts corresponding to the two types of structures mentioned above: hilly-plain with a thick cover of carbonate sedimentary rocks, and mid-mountain, with average heights in the territory of the reserve of 500–700 m (up to 1119 m in the spurs of the Amginsky Range), composed of crystalline rocks, including Archean granites and gneisses [19].
This region is characterized by significant annual air temperature fluctuations. The minimum temperature in January is −60 °C and the maximum temperature in July is +34 °C [20]. Stable snow cover lasts for about 200 days. The vegetation period lasts 101 days. In the year of our observations (2024) for the Jikimdya weather station located on the terri-tory of the Olyokma Nature Reserve, the lowest average monthly air temperature was rec-orded in January (−29.8 °C) and the highest average monthly air temperature was in July (20.1 °C); the average annual air temperature was −3.9 °C [21].
The hydrographic network of the protected area belongs to the Lena River basin and is represented by the tributaries of the Olyokma River and the upper part of the Amga River basin. There are no large lakes, but there are quite a few small ones, mainly of oxbow origin and mainly confined to river valleys. There are common areas of raised bogs with permafrost underlay.
We studied various types of water bodies located in the floodplain of the Olyokma River, including several small lakes of oxbow origin, a swamp, a pool on a salt lick, streams and the Olyokma River itself (Table 1). Lake 5, Swamp 1, Stream 2, Pool 1, Mundunda and Bolshoy Sordonokh Lakes are in the protected area of the reserve and the remaining water bodies are located within its boundaries (Figure 1 and Figure 2). In Table 1, the first column shows the numbers of the sampling stations, the second column shows the corresponding names of water bodies, and the location of these sampling stations is shown on the map (Figure 1). The numbers of algological samples (24 in total) are given in seven subcolumns in accordance with the seven types of samples; the eighth subcolumn shows the numbers of hydrochemical samples.

2.2. Sampling

The sampling was carried out from 12 to 18 August 2024. A total of 24 algological samples were collected, including plankton, biofilms, moss squeezes, filamentous algae colonies, stone scrapings, Nostoc commune colonies, and turf (Table 1). In parallel with the qualitative samples, quantitative samples of 30 L were also collected of the plankton. An Apstein net (SEFAR NITEX fabric, mesh size 15 µm, Sefar Holding AG, Thal, Switzerland) was used to collect plankton and moss squeezes. Biofilm was removed from the surface of the lake silt using a spatula, and stone scrapings were washed off with a brush. All algological samples were fixed by adding formalin. Samples for hydrochemical analysis were collected by scooping up 2 L of water.

2.3. Water Chemistry Analysis

Chemical analysis of water samples was performed using generally accepted methods [22,23]. Measurements were made using a PE-5300VI spectrophotometer (GK “EKROS”, Saint Petersburg, Russia), a Fluorat-02-2M device (LLC “Lumex-Marketing”, Saint Petersburg, Russia) and an AAnalyst 400 atomic-absorption spectrometer (PerkinElmer Inc., Waltham, MA, USA). Water temperature was measured with a Checktemp electronic thermometer (Hanna Instruments Deutschland GmbH, Vöhringen, Germany)) and the hydrogen index was measured with a Multitest IPL-101 pH-meter/ion meter (LLC NPP “SEMIKO”, Novosibirsk, Russia).

2.4. Algological Analysis

An Olympus BH-2 light microscope (Olympus, Tokyo, Japan) was used to study the algological samples. Species identification was performed using identification guides [24,25,26,27,28,29,30,31,32]. The taxonomic affiliation of species was clarified using data from the Algabase.org portal [33]. The number of phytoplankton cells was counted using a 0.01 mL Nageotte chamber in triplicate. Phytoplankton biomass was calculated using the volumetric counting method [34]. The abundance of algae in non-planktonic samples was assessed using a six-point frequency scale [35].
The Shannon–Wiener index diversity [36] of the phytoplankton community was calculated via the Biodiversity Pro 2.0 program [37]. Calculation of similarity and the network graphs was completed as part of the network analyses in JASP via the bootnet package in R 0.16.4.0 [38]. Pearson correlation coefficients were calculated with the Wessa.net version 1.2.1 program [39], accessed on 30 May 2025. Using these statistical programs, an analysis of the similarity of species richness, abundance, biomass, composition of indicator groups and environmental indicators was made step by step, combining biological and chemical indicators in different combinations, which allowed us to identify the most significant among them.
The saprobity index of the algae community was calculated on the base of the species-specific index saprobity S and the cellular abundance of each indicator species [35,40].
Bioindicator analysis was performed according to [41] with species-specific ecological preferences of revealed indicator taxa [35]. The BioDiversity Pro 2.0 program was used for similarity calculations [37].
The WESI index [35,40,41] was calculated to assess the toxic pollution influence on the aquatic ecosystems by the following equation:
WESI = Rank Index S/Rank N-NO3
where WESI is an aquatic ecosystem state index, Rank Index S is the rank number from 1 to 9 calculated for each community index S in the water quality class of [41], and Rank N-NO3 is the rank number from 1 to 9 of the defined N-NO3 concentration for each sampling point in the water quality class of [41]. The index values vary from 0 to 5. If the index value is below one, then the ecosystem is exposed to toxic pollution, which inhibits photosynthesis.

3. Results

3.1. Physico-Chemical Parameters of Waters

The temperature in the water bodies corresponds to the sampling period. Streams (1 and 2) are the coldest at 3.1 °C and 15.9 °C, respectively; the other water bodies are warmer—18.1–27.0 °C (Appendix A Table A1). Differences in the pH values were noted. The waters of Swamp 1 are slightly acidic (pH 6.46), Pool 1 are acidic (pH 4.65), and the other water bodies have a neutral or slightly alkaline pH (pH 6.68–8.26).
The waters of Mundunda Lake and Stream 1 are very hard (8 mg L−1), fresh, and have increased mineralization (643 mg L−1). The waters of Olyokma River and Stream 2 are fresh, medium mineralized (359 and 495 mg L−1, respectively), and have medium hardness (4.5 and 6.6 mg L−1, respectively). The waters of Pool 1 are brackish, highly mineralized (3405 mg L−1), and very hard (38 mg L−1). The other surveyed objects are fresh, low mineralized (44–151 mg L−1), and have a hardness index of “very soft–soft” (0.5–2 mg L−1). The waters of all the surveyed water bodies are of the hydrocarbonate class, calcium-magnesium group, and type II.
Lake 2, Lake 1, and Lake 3 are distinguished by an increased color index (113–377). The waters of the other objects are colored less brightly (8–101). Eight water bodies are characterized by an increased COD value: Lake 1, Swamp 1, Lake 2, Bolshoy Sordonokh Lake, Lake 4, Lake 3, Lake 5, and Pool 1 (31–82).
The concentration of ammonium nitrogen is high in all objects (0.8–2.4 mg L−1) except Olyokma River, Lake 7, Stream 1, Podskalnoye Lake, and Stream 2 (0.2–0.5 mg L−1). The content of nitrite nitrogen is characterized by relatively low values; the maximum concentration was found in Lake 2 (0.02 mg L−1). In Olyokma River, Lake 7, Podskalnoye Lake, Mundunda Lake, and Stream 2, the concentration of nitrate nitrogen is the lowest (0.02–0.1 mg L−1). In the remaining objects, its content is higher, and the maximum concentration was found in Lake 2 (0.5 mg L−1). The silicon content in most of the surveyed objects is low (1.2–4.6 mg L−1) and only in four water bodies was its concentration found to be greater than 5 mg L−1 (Swamp 1, Pool 1, Stream 2, and Lake 2). In all the surveyed water bodies the content of total phosphorus does not exceed 0.10 mg L−1, with mineral phosphorus at 0.017 mg L−1. The concentration of total iron is high in all water bodies (0.05–2.35 mg L−1). The maximum value was found in Lake 2 and the minimum concentration (≤0.35 mg L−1) was detected in eight water bodies (Olyokma River, Stream 1, Lake 7, Mundunda Lake, Stream 2, Pool 1, Lake 4 and Podskalnoye Lake).
Figure 3a shows the JASP plot for the entire chemical database for 14 stations. It is evident that the similarity of environmental parameters is observed for stations grouped into three clusters. The first includes all flowing habitats, as well as Pool 1 and Mundunda Lake. Cluster 2 unites two lakes at the very top of the Olyokma River valley. The third cluster includes the remaining lakes, the environment of which is most similar at sites 3 and 4, located at the same altitude. Figure 3b reflects the dynamics of water production indicators—nitrogen and phosphorus, only at sites where it was possible to collect phytoplankton and located down the Olyokma River valley. The trend lines show that the concentrations of ammonium, nitrates and phosphates increase in the water of the lakes toward the bottom of the river valley, despite the fact that stations 3 and 6 have synchronous bursts of values.

3.2. Taxonomical and Floristic Analysis of Microscopic Algae

For 14 studied different types of water bodies in the territory of Olyokma Nature Reserve and its protected zone, 246 species and varieties of algae and cyanobacteria were identified, and three determinations were made only to the genus (Appendix A Table A2). For 13 water bodies (excluding Olyokma River), information on algae was obtained for the first time. Table 2 reflects the distribution of the numbers of species in taxonomic phyla at each of the surveyed stations. The species richness of the identified microalgae varied within 3–91 and was highest in the lakes of the upper part of the river valley. The most diverse were Charophyta, and green algae remained in second place. The remaining phyla were noted to have low diversity.
The abundance of phytoplankton species cells in taxonomic phyla decreased downstream along the river valley stations (Table 3, Appendix A Table A3). However, the proportion of cells of each division of species was unevenly distributed. While diatoms were more abundant at the upper stations, green algae came to the fore at stations downstream, followed by cyanobacteria at station 6. Phytoplankton abundance was minimal at the lower stations.
Phytoplankton biomass also had a similar decreasing trend down the river valley (Table 4, Appendix A Table A4). In general, the stations in the upper part of the valley were dominated by Charophyta, while in the lake’s plankton in the lower part of the river valley, diatoms were actively connected to them. A special position was occupied by the lake community at station 2, where Dinoflagellata dominated.
The statistical comparison of biological parameters (number of species, abundance and biomass) showed that three clusters can be distinguished (Figure 4). The first one unites Lakes 3, 5 and 6 with high species richness, abundance and biomass, where charophytes and green algae, as well as cyanobacteria, predominate. The second cluster includes lakes with medium diversity at stations 8 and 11, where charophytes come to the fore. The third cluster is represented by lakes in the upper part of the valley at stations 1 and 2 with the highest diversity. Thus, the biological parameters divide the basin into approximately three parts with characteristic features of the communities of the studied lakes: upper (stations 1 and 2), middle (stations 3, 5 and 6) and lower (stations 8 and 11).
Table 5 presents the average values of microalgae species richness (phytoplankton and phytoperiphyton, Appendix A Table A5), phytoplankton abundance and biomass, and index values calculated for the communities of the studied stations along the Olyokma River valley. The summary data show that the total number of species tends to decrease down the river valley, as do the abundance and biomass discussed in detail above (Table 2, Table 3 and Table 4). However, the community complexity, as reflected in the Shannon indices, increases, indicating a healthy ecosystem, even though the saprobity indices increase in the same direction (Figure 5a), indicating an increase in nutrient concentration (Figure 3b). That is, the identified biological indicators change with a downward trend (Figure 5b) under the influence of natural factors, which is typical for a nature reserve.

3.3. Bioindicators

Biodiversity itself can characterize the main features of the dynamics of the identified communities, as shown above and seen in Figure 6a with a downward trend down the river valley. But bioindication based on the preferences of the species that make up the communities under study helps to identify in detail the indicators that affect the communities in this way. Figure 6 and Figure 7 show the distribution of bioindicators for seven main environmental indicators. Only phytoplankton samples were taken for the bioindicator analysis to avoid aberrations in the results. It is evident that the proportion of planktonic inhabitants decreases down the river valley, while the proportion of planktonic-benthic species increases, indicating an expansion of substrate development (Figure 6b). Eurythermal species generally predominate, which are displaced by temperate species in the lakes of the lower part of the river valley (Figure 6c), reflecting a decrease in water warming. The communities are dominated by species that prefer both stagnant waters, typical of small lakes, and stagnant-flowing waters with medium oxygen saturation (Figure 6d).
The dynamics of pH indicators (Figure 7a) is interesting when acidophilic species of the lakes in the upper part of the valley are replaced by indifferent and then alkaliphilic species. Apparently, this is one of the characteristic features of the dynamics of the indicators in the catchment area of undisturbed permafrost areas. The salinity of the waters of the studied lakes has a similar tendency to increase (Figure 7b). The trophic status indicators, on the contrary, show a high proportion of eutrophic species in the lakes of the middle part of the valley, and their replacement by mesotrophic ones in its lower part (Figure 7c). This decrease in trophism can also be a characteristic feature for the waters of the undisturbed catchment area in the permafrost zone. The organic pollution indicators also divided the lake communities into three parts (Figure 7d), separating the lakes of stations 1 and 2 in the upper part of the river valley with the second quality class, then the middle part of the valley with the water quality of class 3 and the lower part again with a predominance of clean water indicators.
The network plot of indicator species abundance similarity in groups based on Appendix A Table A6 shows the division of the indicator composition into three clusters (Figure 8). The first unites indicators in lakes in the lower part of the river valley, the second in the upper part of the valley, and the third lakes at stations 4 and 14, which are similar in their proportions of habitat indicators, oxygen and trophic state. Apparently, these three indicators are the factors dividing communities into similarity groups.
In order to establish whether this is so, a calculation of the similarity of the combined data on biological indicators and chemical variables for the same nine stations was carried out (Figure 9). It turned out that three clusters in the analysis of combined environmental and biota data completely coincide with the distribution of similar stations in the comparison of only groups of bioindicators. That is, the number of indicator species can characterize the main sets of diversity and the chemistry of lake waters within the studied river valley. In addition, it can be noted that the similarity in biological indicators and in the chemistry of lake waters is equally allocated to a separate cluster of lakes in the upper part of the valley at stations 1 and 2.
The similarity tree of only biological data at the nine studied stations of the basin identifies two main groups and one lake at station 2 (Figure 10); however, according to this calculation, it is not possible to divide the available set in relation to parts of the catchment basin.
The calculation of the similarity tree for all biological indicators also shows two main groups, one of which can be attributed to the upper part of the river basin and the second is mixed (Figure 11).
The tree of similarity of all biological and chemical data repeats the distribution into groups by biological indicators (Figure 12) at a similarity level of about 50%. This indicates that the ecosystem of the studied lakes changes in the totality of environmental and biological indicators, i.e., it exists in natural conditions for a given catchment area.

3.4. Species–Environmental Relationships

The statistical ratios of the main environmental factors influencing the species richness, the number of species by phyla, and the Shannon and saprobity indices are shown in Figure 13. The site numbers of the studied lakes are also shown here. It is evident that three packages of indicators can be distinguished in general. Nitrates and water temperature stimulate the abundance of phytoplankton and the growth of the diversity of euglenophytes and the saprobity index S at sites 3, 4, and 6. The growth of the total salt saturation (TSS) and carbonates improves the community structure with an increase in the Shannon index at sites 1, 8, 11, and 14. The third package of parameters is associated only with an increase in the concentration of chlorides, which stimulate the total number of species, biomass, and the number of charophyte, green, and cyanobacteria species. Interestingly, this package is positively associated only with the community at station 2 in the upper part of the river valley, while the other stations are in antiphase with it. The results of the RDA analysis detail the previously identified patterns in the distribution of biodiversity data, community structure and environmental parameters. While Figure 5a,b show a general pattern of decreasing species richness, abundance and biomass with a simultaneous increase in the saprobity index and Shannon index with some fluctuations at stations 2, 4 and 8, the RDA relationship analysis details and groups the environmental and phytoplankton data into three groups, thereby identifying the features of community response to changes in the Olyokma River environmental parameters.

4. Discussion

A variety of water bodies were studied in the Olyokma Nature Reserve, differing in water temperature, pH, total mineralization, hardness, and content of nutrients and organic matter. The increased color index and high concentrations of total iron, ammonium nitrogen, nitrate nitrogen, and difficult-to-oxidize organic matter (COD) noted for some of the studied water bodies are due to natural causes and possibly global climatic phenomena. Thus, it is known that due to insufficient drainage of permafrost soil and additional runoff from the catchment area due to intensive thawing processes, water bodies in the cryolithozone are often over-enriched with carbon and organic matter [46]. In addition, the melting of permafrost could result in the release of previously frozen organic matter and nutrients and their entry into surface waters [47,48]. There are studies confirming that atmospheric precipitation can be a significant source of nitrogen and phosphorus compounds in water bodies. However, nutrients entering water bodies from atmospheric precipitation could affect phytoplankton only in areas with developed industry or urban infrastructure [49]. There are no other likely sources of nutrients in the area. However, one should not exclude the possibility of nutrients entering the studied water bodies along with precipitation, since there is data confirming the possibility of nitrogen compounds being transferred with air masses over long distances. Thus, in long-term studies of the concentration of ammonia-nitrogen in the Sargasso Sea off Bermuda, the authors were able to postulate that a large fraction of naturally occurring ammonia is contributed to surface waters by rainfall [49]. The low pH value that we noted in Pool 1 (station 9) is often observed in some water bodies in the taiga part of Yakutia. This phenomenon, according to the famous Soviet geochemist, Professor A.I. Perelman, is caused by the entry of carbonic acid, fulvic acids, and other organic acids into the waters. In the waters of the cryolithozone of taiga Yakutia, dissolved organic matter (DOM) makes up from 10 to 75% of the total amount of dissolved substances, and the main component (DOM) is fulvic acids—substances of a humic nature [50]. A.I. Perelman points out that if there are not enough strong cations in the waters to completely neutralize the acidity, then the environment in such reservoirs is acidic or slightly acidic with a pH of 3–4 to 6.5.
The combined species list of algae of Olyokma Nature Reserve, obtained on the basis of data of O.Yu. Rozhkova [16] and our own collections in 2011 of plankton in the Olyokma River [17], after its revision in accordance with modern taxonomic data, comprised 328 species and varieties, and one determination was made only to the genus. After combining these data with our results obtained from the 2024 collections, the species list of the Olyokma Nature Reserve increased to 519 taxa, and four determinations were made only to the genus. Thus, as a result of processing the materials of the 2024 collections, the species list of algae of Olyokma Nature Reserve was replenished by 191 taxa of the rank below the genus. It is important to note that among the algae identified in 2024, 78% of the taxa were new to the flora of Olyokma Nature Reserve.
To more fully assess the current level of study of the algae of Olyokma Nature Reserve, it is advisable to compare it with the available data on the flora of algae of neighboring protected areas in the region. Vitim Nature Reserve is located 520 km southwest of Olyokma Nature Reserve. Studies of phytoplankton of a few mountain lakes, including the large Oron Lake, as well as floodplain reservoirs, were conducted on its territory. The researchers provided information on 119 species and varieties of algae from 56 genera and seven divisions [51]. The leading position is occupied by diatoms (34 taxa below the rank of genus), making up more than 28% of the total number of species; in second place are green algae (30 taxa below the rank of genus)—more than 25% of the species list of Vitim Nature Reserve algae. In the plankton of the large deep-water reserve Oron Lake, 67 species and varieties from seven divisions have been recorded [51]. Researchers note that more than half of the species composition of the plankton of Oron Lake are common with Lake Baikal, including Baikal endemics: Synechocystis limnetica Popovskaja, Gymnodinium baicalense var. minor N.L.Antipova and Stephanodiscus meyeri Genkal & Popovskaya.
The Bolshoye Toko resource reserve, which will soon be transformed into a federal national park, is located 550 km southeast of the Olyokma Nature Reserve. Algological studies of the large glacial Bolshoye Toko Lake, wetlands on its shores, and the source of the Mulam River flowing out of the lake were carried out on its territory [52,53,54,55,56,57]. The study of the Heterokontophyta flora using scanning electron and transmission microscopy methods allowed us to identify 189 species in the Bolshoye Toko resource reserve, including 162 species and varieties of pennate, 10 centric diatoms, and 17 species and varieties of scaly chrysophyte algae. A new representative of the relict diatom flora, Pliocaenicus bolshetokoensis Genkal, Gabyshev & Kulikovskiy, was found and described for the first time in the plankton of Bolshoye Toko Lake [53]. A rare species, Discostella guslyakovyi Genkal, Bondarenko & Popovskaya, was found in Bolshoye Toko Lake. This is another representative of the diatom flora, which was previously discovered in the mountain Nichatka Lake, located 230 km west of the Olyokma Nature Reserve [58]. Six species of diatoms and two species of scale chrysophytes, first recorded for the flora of Russia, were found in Bolshoye Toko Lake: Cymbopleura cf. lura Miho et Krammer, Fragilaria perminuta (Grunow) Lange-Bertalot, Gomphonema parallelistriatum Lange-Bertalot & E.Reichardt, Pinnularia cf. neomaior var. inflata Krammer, Pinnularia cf. stidolphii Krammer, Planothidium cf. distinctum (Messikommer) Lange-Bertalot, Mallomonas inornata K.H.Nicholls and Synura synuroidea (Prowse) Pusztai, Certnerová, Skaloudová & Skaloud [54,55,56].
Thus, the microalgae flora of Olyokma Nature Reserve is relatively diverse. However, the absence of large mountain lakes of glacial origin here has led to the absence of rare and endemic species.
The significant influence of catchment and bottom sediment variables on the taxonomic diversity and structure of plankton communities has been previously noted by researchers [59,60,61,62]. The high nutrient content that we noted for many of the studied water bodies, due to the influence of permafrost, was the reason for the high abundance and biomass of lake phytoplankton. There are studies demonstrating the effect of increased nutrient availability associated with permafrost degradation on the growth of biomass of primary producers in water bodies [63]. High values of biological indicators of microalgae, including the number of species, abundance, as well as the abundance and biomass of phytoplankton, which we noted at stations in the upper part of the river valley, decreased at stations in the lower part of the relief. At the same time, an increase in the concentration of ammonium, nitrates and phosphates in the water of the lakes was noted toward the bottom of the river valley. The saprobity indices increased in the same direction, indicating an increase in the concentration of nutrients. Apparently, the growth of microalgae, i.e., the inclusion of nutrients for cell reproduction at stations in the upper part of the valley, led to their depletion and a decrease in the concentrations of dissolved nutrients. The taxonomic selectivity of spatial changes in the abundance of phytoplankton in the gradient of altitude and nutrient concentration was manifested in the change of dominants from diatoms at the upper stations to green algae and then to cyanobacteria. Similar patterns were noted by researchers for lakes in the cryolithozone of Western Siberia [64]. Differential needs for nutrients, the difference in the rate of their absorption and in the possibilities of accumulation in different taxonomic groups of microalgae, along with other environmental conditions, control the composition of the phytoplankton community [65,66].
Despite the observed tendency for the total number of species to decrease down the river valley, we have detected a simultaneous increase in the Shannon index values. This indicates that the structure of microalgae communities becomes more complex down the valley. With depletion and decreases in nutrient concentrations, the community levels out, and with the expansion of substrate development down the valley, the proportion of planktonic inhabitants decreases while the proportion of planktonic-benthic species increases. This phenomenon we have noted, as well as the replacement of acidophilic species in the lakes of the upper part of the valley with indifferent and then alkaliphilic species in the lakes of the lower part of the relief, is one of the characteristic features of the dynamics of indicators of undisturbed permafrost catchment basins. This is also indicated by a decrease in trophism from the upper stations of the valley to the lower ones, as evidenced by the replacement of eutrophic species in the composition of trophic status indicators with mesotrophic ones. This suggests that the ecosystem of the lakes under study is transformed in accordance with environmental changes and biological processes, that is, it functions in accordance with the natural conditions characteristic of a given catchment area.

5. Conclusions

The water bodies in the territory of a natural protected area were studied. Some of them were characterized by increased nutrient content, which was due to the features of permafrost catchment basins. The total number of microalgae taxa identified as result of our work was 246. The species list of microalgae of Olyokma Nature Reserve was replenished by 191 taxa of the rank below the genus, and currently, considering our new data, has 519 taxa. In comparison with other protected areas of the region, the microalgae flora of Olyokma Nature Reserve is distinguished by its diversity. A relationship was established between the nutrient content and an increase in the number of species and abundance of microalgae, as well as the number and biomass of phytoplankton. An increase in the saprobity index was also a response to the high nutrient content. The growth of microalgae leads to the depletion of nutrients and a decrease in their concentration. In the gradient of ammonium, nitrates and phosphates concentrations, a change in dominants was revealed from diatoms at the upper stations to green algae and then to cyanobacteria. With the depletion of nutrients, the alignment of the microalgae community and the complication of its structure were noted, which was confirmed by the growth of the Shannon index. A decrease in trophism, the replacement of eutrophic species with mesotrophic ones, and acidophilic species with indifferent ones and then with alkaliphiles, demonstrates the stability of aquatic ecosystems in the permafrost natural area. Our studies show that the Olyokma Nature Reserve territory is suitable as a reference site for the subsequent assessment of the impact of global climate change in a permafrost area. The prospects for the future development of this study is the need to continue the work on the study of microalgae of the Olyokma Nature Reserve to obtain data on the interannual and seasonal variability of the aquatic ecosystems of the reserve. This will expand knowledge about the species diversity of this group of microorganisms and their relationships with the environment in permafrost conditions.

Author Contributions

Conceptualization, S.B. and V.A.G.; methodology, O.I.G. and V.A.G.; software, S.B.; validation, S.B. and V.A.G.; formal analysis, E.M.G. and O.I.G.; investigation, V.A.G. and O.I.G.; resources, E.M.G.; data curation, S.B.; writing—original draft preparation, V.A.G., S.B. and O.I.G.; writing—review and editing, S.B. and V.A.G.; visualization, S.B., E.M.G. and O.I.G.; supervision, V.A.G.; project administration, V.A.G.; funding acquisition, V.A.G. and E.M.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was carried out within the state assignment of the Ministry of Science and Higher Education of the Russian Federation (theme No. FWRS-2021-0023, reg. No. AAAA-A21-121012190038-0; theme No. FWRS-2021-0026, reg. No. AAAA-A21-121012190036-6).

Data Availability Statement

The original contributions presented in the study are included in the article; further inquiries can be directed to the corresponding author.

Acknowledgments

The authors express their deep gratitude to Alexander Pavlovich Chevychelov (Institute of Biological Problems of the Cryolithozone SB RAS) for consultation and assistance in interpreting data on the pH of the environment of the studied water bodies in the permafrost area. We are grateful to the Israeli Ministry of Aliyah and Integration for partial support of this work.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
JASPJeffreys’s Amazing Statistics Program
WESIWater Ecosystem State Index
TDSTotal dissolved solids
CODChemical oxygen demand

Appendix A

Table A1. Averaged data of environmental variables in 14 studied water bodies of the Olyokma Nature Reserve, August 2024. Station numbering as in Table 1.
Table A1. Averaged data of environmental variables in 14 studied water bodies of the Olyokma Nature Reserve, August 2024. Station numbering as in Table 1.
VariableSt 1St 2St 3St 4St 5St 6St 7St 8St 9St 10St 11St 12St 13St 14
T °C18.320.927.023.023.324.018.121.525.019.222.33.115.923.0
pH6.896.857.206.687.156.728.267.524.656.467.628.108.208.02
Color, Pt/Co°1947185721133771397279210184239
COD, mgO2 L−17.4620.0081.7555.5050.4580.205.8558.1530.9581.3550.155.2511.156.70
TDS, mg L−15449744457104359148340595151745495643
Hardness, mg L−10.70.60.90.50.71.34.52.038.01.21.99.86.68.2
Ca, mg L−14.414.8110.424.818.0212.4245.2915.23585.176.4120.44141.8876.1586.57
Mg, mg L−15.354.374.623.643.648.2627.2215.07106.9210.6911.1833.5433.5447.63
Na, mg L−11.701.271.230.730.921.345.170.78186.401.470.822.841.422.93
K, mg L−10.540.640.730.340.340.630.890.2110.000.460.131.270.651.10
HCO3, mg L−130.028.051.031.541.076.0257.590.01846.070.0110.0410.0308.0485.0
Cl, mg L−11.302.302.501.201.502.237.001.20291.081.401.104.462.803.66
SO4, mg L−110.507.103.201.411.603.2015.9025.50379.464.207.00151.4072.7016.55
N-NH4, mg L−10.220.481.480.931.062.250.201.022.421.430.960.460.500.80
N-NO2, mg L−10.0050.0060.0120.0100.0100.0220.0040.0070.0050.0080.0070.0040.0040.006
N-NO3, mg L−10.030.060.260.130.150.510.020.140.350.240.150.190.100.07
Ptot, mg L−1<0.04<0.040.05<0.04<0.040.10<0.04<0.04<0.04<0.04<0.04<0.04<0.04<0.04
P-PO4, mg L−1<0.016<0.016<0.016<0.016<0.0160.017<0.016<0.016<0.0160.017<0.016<0.0160.017<0.016
Si, mg L−12.761.184.571.922.998.842.412.545.925.282.323.887.684.12
Fetot, mg L−10.100.340.660.270.642.350.050.670.250.600.700.050.200.11
Table A2. Algae and cyanobacteria species richness in 14 studied water bodies of the Olyokma Nature Reserve, August 2024. Station numbering as in Table 1.
Table A2. Algae and cyanobacteria species richness in 14 studied water bodies of the Olyokma Nature Reserve, August 2024. Station numbering as in Table 1.
TaxaSt 1St 2St 3St 4St 5St 6St 7St 8St 9St 10St 11St 12St 13St 14
Cercozoa Cavalier-Smith
Spongomonas splendida (F.Stein) M.Hartmann & Chagas00000010000000
Charophyta Migula
Actinotaenium capax var. minus (Schmidle) Teiling ex Ruzicka & Pouzar00101000000000
Actinotaenium cucurbita (Brébisson ex Ralfs) Teiling11000100010000
Bambusina borreri (Ralfs) Cleve11000100001000
Closterium abruptum West00000000010000
Closterium closterioides var. intermedium (J.Roy & Bisset) Ruzicka00100000000000
Closterium dianae var. arcuatum (Brebisson ex Ralfs) Rabenhorst01000000001010
Closterium gracile Brébisson ex Ralfs00000100000000
Closterium intermedium Ralfs00001100000000
Closterium jenneri Ralfs00100100000000
Closterium juncidum Ralfs00000100000000
Closterium kuetzingii Brébisson00000000001001
Closterium leibleinii Kützing ex Ralfs00001010100001
Closterium lineatum Ehrenberg ex Ralfs00000000000001
Closterium littorale F.Gay00100000000000
Closterium moniliferum Ehrenberg ex Ralfs00100000000001
Closterium navicula (Brébisson) Lütkemüller01000000000000
Closterium setaceum Ehrenberg ex Ralfs00000000010000
Closterium venus Kützing ex Ralfs01100000010000
Cosmarium baileyi Wolle01000000000000
Cosmarium bioculatum Brébisson ex Ralfs11111011001000
Cosmarium blyttii var. novaesylvae West & G.S.West10101000000000
Cosmarium botrytis Meneghini ex Ralfs00001010100000
Cosmarium brebissonii Meneghini ex Ralfs01000000001000
Cosmarium circulare Reinsch11001000000000
Cosmarium contractum O.Kirchner01000000001000
Cosmarium crenulatum Nägeli00000100000000
Cosmarium formosulum Hoff11101011100001
Cosmarium granatum Brébisson ex Ralfs00000000100000
Cosmarium hammeri Reinsch00000000010000
Cosmarium humile Nordstedt ex De Toni11000100000001
Cosmarium impressulum Elfving00000011000000
Cosmarium meneghinii Brébisson ex Ralfs00000000100000
Cosmarium obsoletum (Hantzsch) Reinsch11101000000000
Cosmarium ochthodes Nordstedt00000000000100
Cosmarium pachydermum P.Lundell00001000000000
Cosmarium pachydermum var. minus Nordstedt00100000000000
Cosmarium porteanum W.Archer10100000000000
Cosmarium pseudoexiguum Raciborski01000000000000
Cosmarium pseudopyramidatum P.Lundell00001100000000
Cosmarium punctulatum Brébisson11000111000010
Cosmarium regnellii Wille01100001000000
Cosmarium regnesi Reinsch01000000000000
Cosmarium reniforme (Ralfs) W.Archer00000000001000
Cosmarium sexnotatum var. tristriatum (Lütkemuller) Schmidle00000001000010
Cosmarium subprotumidum Nordstedt00000000100000
Cosmarium subtumidum Nordstedt01000001000000
Cosmarium subundulatum Wille10000000000000
Cosmarium trilobulatum var. depressum Printz01100100000000
Cosmarium ungerianum var. subtriplicatum West & G.S.West00101001000000
Desmidium aptogonum Brébisson ex Kützing01000100001000
Desmidium aptogonum var. ehrenbergii Kützing00000000001000
Desmidium baileyi (Ralfs) Nordstedt11001000000000
Desmidium coarctatum Nordstedt00001000000000
Desmidium graciliceps (Nordstedt) Lagerheim01000000000000
Desmidium swartzii C.Agardh ex Ralfs11101001001000
Elakatothrix parvula (W.Archer) Hindák01000000000000
Euastrum ansatum Ehrenberg ex Ralfs01000000000000
Euastrum bidentatum Nägeli01000000000000
Euastrum binale Ehrenberg ex Ralfs10000000000000
Euastrum binale var. minus (West) Willi Krieger01000100000000
Euastrum crassicolle P.Lundell01000000000000
Euastrum didelta Ralfs10000000000000
Euastrum elegans Ralfs00000010000000
Euastrum gemmatum Ralfs01100000000000
Euastrum neosinuosum O.V.Anissimova & Guiry00000000010000
Euastrum pulchellum Brébisson01001000000000
Gonatozygon aculeatum W.N.Hastings10000000000000
Gonatozygon brebissonii De Bary10000000000001
Gonatozygon monotaenium De Bary10100101001000
Groenbladia neglecta (Raciborski) Teiling10000000000000
Groenbladia undulata (Nordstedt) Kurt Förster01000000000000
Haplotaenium rectum (Delponte) Bando01000000010000
Hyalotheca dissiliens Brébisson ex Ralfs00010000000000
Hyalotheca indica W.B.Turner01000000000000
Hyalotheca mucosa Ralfs11011000000000
Micrasterias crux-melitensis Ralfs00001000011000
Micrasterias pinnatifida Ralfs10001000000000
Micrasterias truncata Brébisson ex Ralfs00000000001000
Mougeotia laetevirens (A.Braun) Wittrock00000001000000
Octacanthium bifidum var. latidivergens (West) Petlovany01000000000000
Penium margaritaceum Brébisson ex Ralfs00100000000000
Pleurotaenium clavatum (Ralfs) De Bary00001000000000
Pleurotaenium coronatum (Brébisson) Rabenhorst00101000000000
Pleurotaenium ehrenbergii (Ralfs) De Bary01000000000000
Pleurotaenium elongatum (West) Coesel & Meesters00000001000000
Pleurotaenium trabecula Nägeli10110000001000
Sphaerozosma filiforme Ralfs00000100000000
Sphaerozosma laeve (Nordstedt) Thomasson00000100000000
Spirogyra sp. ster.00101000000000
Spondylosium ellipticum West & G.S.West00001000000000
Spondylosium lundellii O.Borge11000000000000
Spondylosium planum (Wolle) West & G.S.West01001000000000
Staurastrum avicula var. lunatum (Ralfs) Coesel & Meesters00111001001000
Staurastrum boreale West & G.S.West01111001010001
Staurastrum brevispina Brébisson01000000010000
Staurastrum dilatatum Ehrenberg ex Ralfs01000000000000
Staurastrum furcatum Brébisson00001000000000
Staurastrum furcigerum (Brébisson) W.Archer00001000000000
Staurastrum gemelliparum Nordstedt00000001000000
Staurastrum gracile Ralfs ex Ralfs11010001001000
Staurastrum granulosum Ralfs00000000010000
Staurastrum longispinum (Bailey) W.Archer10000000000000
Staurastrum manfeldtii Delponte00001101000000
Staurastrum muticum Brébisson ex Ralfs00101001000000
Staurastrum paradoxum Meyen ex Ralfs11001100000000
Staurastrum punctulatum Brébisson11100010000010
Staurastrum spiniferum West00000000010000
Staurastrum subarmigerum J.Roy & Bisset01000001000000
Staurastrum submonticulosum J.Roy & Bisset10000000000000
Staurastrum teliferum var. gladiosum (W.B.Turner) Coesel & Meesters10001000010000
Staurastrum tetracerum Ralfs ex Ralfs00000001001000
Staurastrum vestitum Ralfs00001000000000
Staurodesmus convergens (Ehrenberg ex Ralfs) S.Lillieroth10001000000000
Staurodesmus cuspidatus (Brébisson) Teiling11011000000000
Staurodesmus dejectus (Brébisson) Teiling01010000000000
Staurodesmus glaber (Ralfs) Teiling11001010001000
Staurodesmus incus (Hassal ex Ralfs) Teiling10000000001000
Staurodesmus leptodermus (P.Lundell) Teiling10000000000000
Teilingia granulata (J.Roy & Bisset) Bourrelly11011010000000
Xanthidium antilopaeum Kützing10001001001000
Xanthidium cristatum Brébisson ex Ralfs00010000000000
Chlorophyta Reichenbach
Actinastrum hantzschii var. subtile Wołoszyńska00001000000000
Acutodesmus acutiformis var. costatus (Huber-Pestalozzi) P.M.Tsarenko & D.M.John00000010000000
Ankistrodesmus arcuatus Korshikov00100100000000
Ankistrodesmus falcatus (Corda) Ralfs11101010010000
Ankistrodesmus fusiformis Corda11101101000001
Ankistrodesmus spiralis (W.B.Turner) Lemmermann01001010000000
Aphanochaete repens A.Braun01000000000000
Botryococcus braunii Kützing01111101001000
Coelastrum astroideum De Notaris00000000000001
Comasiella arcuata (Lemmermann) E.Hegewald, M.Wolf, Al.Keller, Friedl & Krienitz00100000000000
Cosmarium angulosum var. concinnum (Rabenhorst) West & G.S.West01000000100000
Crucigenia fenestrata (Schmidle) Schmidle00100000000000
Desmodesmus armatus (Chodat) E.H.Hegewald01000011000011
Desmodesmus denticulatus var. linearis (Hansgirg) Hegewald01100101000001
Desmodesmus microspina (Chodat) P.M.Tsarenko00011000101001
Desmodesmus spinosus (Chodat) E.Hegewald00000000001000
Dictyosphaerium ehrenbergianum Nägeli00100000000000
Dimorphococcus lunatus A.Braun11000000000000
Monoraphidium contortum (Thuret) Komárková-Legnerová11000010000000
Monoraphidium griffithii (Berkeley) Komárková-Legnerová01100110000000
Monoraphidium komarkovae Nygaard01000000000000
Mucidosphaerium pulchellum (H.C.Wood) C.Bock, Proschold & Krienitz00100010000000
Neglectella solitaria (Wittrock) Stenclová & Kaštovský00000011000001
Nephrocytium lunatum West00000001000000
Oedogonium undulatum A.Braun ex Hirn11000000000000
Oocystis lacustris Chodat00011000000000
Oocystis parva West & G.S.West01000000000000
Oocystis rhomboidea Fott01000000000000
Pandorina morum (O.F.Müller) Bory11101100001001
Pseudopediastrum boryanum (Turpin) E.Hegewald01011100001011
Quadrigula korsikovii Komárek01111000000000
Scenedesmus ellipticus Corda11101101001010
Scenedesmus obtusus f. disciformis (Chodat) Compère00000010000000
Scenedesmus obtusus Meyen00000100000000
Selenastrum bibraianum Reinsch00101000001000
Sorastrum spinulosum Nägeli00000000000001
Stauridium tetras (Ehrenberg) E.Hegewald01000110000001
Tetradesmus obliquus (Turpin) M.J.Wynne00100010000011
Tetraëdron minimum (A.Braun) Hansgirg00000010000011
Ulothrix zonata (F.Weber & Mohr) Kützing00000000000100
Verrucodesmus verrucosus (Y.V.Roll) E.Hegewald00100000000000
Volvox aureus Ehrenberg01100100000000
Volvox polychlamys Korshikov00101000000000
Westella botryoides (West) De Wildeman00000010000000
Willea irregularis (Wille) Schmidle01011000000000
Cyanobacteria Stanier ex Cavalier-Smith
Anabaena augstumalis Schmidle00000100000000
Anabaena oscillarioides Bory ex Bornet & Flahault00100000000000
Anagnostidinema amphibium (Gomont) Strunecký, Bohunická, J.R.Johansen & Komárek00000000100000
Anathece clathrata (West & G.S.West) Komárek, Kaštovský & Jezberová00010000010000
Aphanocapsa conferta (West & G.S.West) Komárková-Legnerová & Cronberg00000000010000
Aphanocapsa delicatissima West & G.S.West01110000000000
Aphanocapsa holsatica (Lemmermann) G.Cronberg & Komárek00010000000000
Aphanocapsa incerta (Lemmermann) G.Cronberg & Komárek00100000010000
Chroococcus turgidus (Kützing) Nägeli01000001010001
Coelosphaerium kuetzingianum Nägeli00011000000000
Lyngbya cincinnata (Itzigsohn) Compère00001000000000
Merismopedia glauca (Ehrenberg) Kützing00100101010000
Merismopedia tranquilla (Ehrenberg) Trevisan11100010000001
Microcystis aeruginosa (Kützing) Kützing00100000000000
Nostoc commune Vaucher ex Bornet & Flahault01000000000000
Nostoc kihlmanii Lemmermann01001100011000
Oscillatoria limosa C.Agardh ex Gomont11100001011001
Oscillatoria princeps Vaucher ex Gomont00100001001000
Oscillatoria proboscidea Gomont00000001000000
Oscillatoria rupicola (Hansgirg) Hansgirg ex Forti00001000000000
Oscillatoria tenuis C.Agardh ex Gomont01001010000000
Phormidium ambiguum Gomont00000000100000
Phormidium breve (Kützing ex Gomont) Anagnostidis & Komárek00000000100010
Rivularia biasolettiana Meneghini ex Bornet & Flahault10000000000000
Scytonema coactile Montagne ex Bornet & Flahault01000000000000
Snowella lacustris (Chodat) Komárek & Hindák01001000000000
Spirulina abbreviata Lemmermann00000000000011
Woronichinia naegeliana (Unger) Elenkin00100000000000
Dinoflagellata Fensome & al.
Ceratium cornutum (Ehrenberg) Claparède & J.Lachmann00000000001000
Ceratium hirundinella (O.F.Müller) Dujardin11111000000000
Peridinium bipes F.Stein11000101000000
Peridinium cinctum (O.F.Müller) Ehrenberg10111100001000
Peridinium willei Huitfeldt-Kaas00010000000000
Euglenophyta Cavalier-Smith
Colacium vesiculosum Ehrenberg00010001001000
Lepocinclis acus (O.F.Müller) B.Marin & Melkonian00000100000001
Lepocinclis oxyuris (Schmarda) B.Marin & Melkonian00001000000000
Monomorphina pyrum (Ehrenberg) Mereschkowsky00101100000001
Phacus limnophilus (Lemmermann) E.W.Linton & Karnkowska00000000000001
Phacus longicauda (Ehrenberg) Dujardin00100100001000
Phacus orbicularis Hübner00101001100001
Phacus pleuronectes (O.F.Müller) Nitzsch ex Dujardin00000100001000
Trachelomonas acanthostoma var. minor Dreżepolski00100000000000
Trachelomonas armata (Ehrenberg) F.Stein00001000001000
Trachelomonas armata var. steinii Lemmermann00100000000000
Trachelomonas australica var. granulata (Playfair) Deflandre00000100000000
Trachelomonas crenulatocollis Maskell00001000001000
Trachelomonas dubia Svirenko00100000000000
Trachelomonas dybowskii Dreżepolski01001100000000
Trachelomonas granulosa Playfair10001000000000
Trachelomonas hispida (Perty) F.Stein01100100000000
Trachelomonas lacustris Dreżepolski01000000000000
Trachelomonas oblonga Lemmermann00001000000000
Trachelomonas superba Svirenko00101000000000
Trachelomonas woycickii Koczwara00000000100000
Heterokontophyta Moestrup, R.A.Andersen & Guiry
Asterionella tekelili D.M.Williams, T.M.Schuster, E.Cesar & Jüttner00101000000000
Aulacoseira sp.00000100000000
Didymosphenia geminata (Lyngbye) Mart.Schmidt00000000000010
Dinobryon bavaricum Imhof11101101000000
Dinobryon cylindricum O.E.Imhof00000000001000
Dinobryon divergens O.E.Imhof00000101000000
Dinobryon divergens var. schauinslandii (Lemmermann) Brunnthaler00000001000000
Dinobryon sertularia Ehrenberg11100011000001
Encyonema silesiacum (Bleisch) D.G.Mann00100000000000
Entomoneis ornata (Bailey) Reimer00000011000000
Epithemia adnata (Kützing) Brébisson00000000000001
Epithemia gibba (Ehrenberg) Kützing00000010001011
Epithemia turgida (Ehrenberg) Kützing00000000000001
Gomphonema sp.00100000001000
Gomphonema acuminatum Ehrenberg10100000000000
Gomphonema capitatum Ehrenberg00100000000000
Meridion circulare (Greville) C.Agardh00000000000110
Nitzschia acicularis (Kützing) W.Smith00000000000010
Pinnularia nobilis (Ehrenberg) Ehrenberg00010000000000
Rhoicosphenia abbreviata (C.Agardh) Lange-Bertalot00000000000010
Stauroneis phoenicenteron (Nitzsch) Ehrenberg00000100000000
Stenopterobia anceps (F.W.Lewis) Brébisson ex Van Heurck11101100000000
Surirella librile (Ehrenberg) Ehrenberg00000010000000
Tabellaria fenestrata (Lyngbye) Kützing11111101001000
Tabellaria flocculosa (Roth) Kützing11111110001010
Tribonema vulgare Pascher01000000000010
Ulnaria ulna (Nitzsch) Compère00100000001011
Urosolenia eriensis (H.L.Smith) Round & R.M.Crawford00101000000000
Note: “0“, not found; “1“, present.
Table A3. Average abundance (thou. cells per L) of algae and cyanobacteria species in nine planktonic samples from water bodies of the Olyokma Nature Reserve, August 2024. Samples numbering as in Table 1.
Table A3. Average abundance (thou. cells per L) of algae and cyanobacteria species in nine planktonic samples from water bodies of the Olyokma Nature Reserve, August 2024. Samples numbering as in Table 1.
TaxaSt 1St 2St 3St 4St 5St 6St 7St 8St 9
Charophyta Migula
Actinotaenium cucurbita (Brébisson ex Ralfs) Teiling 0.11
Bambusina borreri (Ralfs) Cleve 0.11 0.70 0.70
Closterium dianae var. arcuatum (Brebisson ex Ralfs) Rabenhorst 0.70
Closterium gracile Brébisson ex Ralfs 0.11
Closterium intermedium Ralfs 0.110.70
Closterium jenneri Ralfs 0.11
Closterium juncidum Ralfs 0.11
Closterium kuetzingii Brébisson 0.700.15
Closterium leibleinii Kützing ex Ralfs 0.15
Closterium lineatum Ehrenberg ex Ralfs 0.15
Closterium moniliferum Ehrenberg ex Ralfs0.11 0.15
Cosmarium bioculatum Brébisson ex Ralfs0.11 0.230.700.70 0.70
Cosmarium blyttii var. novaesylvae West & G.S.West0.11
Cosmarium botrytis Meneghini ex Ralfs 0.70
Cosmarium brebissonii Meneghini ex Ralfs 0.70
Cosmarium circulare Reinsch 0.70 0.70
Cosmarium contractum O.Kirchner 0.70
Cosmarium crenulatum Nägeli 0.11
Cosmarium formosulum Hoff 0.150.70 0.70
Cosmarium humile Nordstedt ex De Toni 0.11 0.15 0.70
Cosmarium obsoletum (Hantzsch) Reinsch0.11 0.70
Cosmarium pachydermum P.Lundell 0.70
Cosmarium pseudopyramidatum P.Lundell 0.11
Cosmarium punctulatum Brébisson 0.11 0.700.23
Cosmarium reniforme (Ralfs) W.Archer 0.70
Cosmarium subtumidum Nordstedt 0.700.70
Cosmarium subundulatum Wille 0.70
Cosmarium trilobulatum var. depressum Printz 0.11
Cosmarium ungerianum var. subtriplicatum West & G.S.West 0.70
Desmidium aptogonum Brébisson ex Kützing 0.68 0.70
Desmidium aptogonum var. ehrenbergii Kützing 0.70
Desmidium baileyi (Ralfs) Nordstedt 0.70 0.706.80
Desmidium graciliceps (Nordstedt) Lagerheim 0.70
Desmidium swartzii C.Agardh ex Ralfs0.11 0.70 0.700.700.70
Euastrum binale Ehrenberg ex Ralfs 0.70
Euastrum binale var. minus (West) Willi Krieger 0.11
Euastrum gemmatum Ralfs0.34
Gonatozygon aculeatum W.N.Hastings 0.70
Gonatozygon brebissonii De Bary 0.15
Gonatozygon monotaenium De Bary0.111.20 0.70 0.70 0.70
Groenbladia neglecta (Raciborski) Teiling 0.70
Hyalotheca dissiliens Brébisson ex Ralfs 0.70
Hyalotheca indica W.B.Turner 0.70
Hyalotheca mucosa Ralfs 0.700.70 0.70
Micrasterias crux-melitensis Ralfs 0.70
Micrasterias pinnatifida Ralfs 0.70 0.70
Micrasterias truncata Brébisson ex Ralfs 0.70
Pleurotaenium coronatum (Brébisson) Rabenhorst0.11 0.70
Pleurotaenium elongatum (West) Coesel & Meesters 0.70
Pleurotaenium trabecula Nägeli0.11 0.700.70 0.70
Sphaerozosma filiforme Ralfs 0.11
Sphaerozosma laeve (Nordstedt) Thomasson 0.11
Spondylosium ellipticum West & G.S.West 0.70
Spondylosium lundellii O.Borge 0.700.70
Spondylosium planum (Wolle) West & G.S.West 0.70 0.70
Staurastrum avicula var. lunatum (Ralfs) Coesel & Meesters0.11 0.700.700.70 0.70
Staurastrum boreale West & G.S.West0.11 0.230.70 0.150.700.70
Staurastrum furcatum Brébisson 0.70
Staurastrum furcigerum (Brébisson) W.Archer 0.70
Staurastrum gracile Ralfs ex Ralfs 0.700.70 0.700.700.70
Staurastrum longispinum (Bailey) W.Archer 0.70
Staurastrum manfeldtii Delponte 0.110.70 0.70
Staurastrum muticum Brébisson ex Ralfs 0.70 0.70
Staurastrum paradoxum Meyen ex Ralfs 0.110.70
Staurastrum punctulatum Brébisson 0.70
Staurastrum subarmigerum J.Roy & Bisset 0.700.70
Staurastrum submonticulosum J.Roy & Bisset 0.70
Staurastrum teliferum var. gladiosum (W.B.Turner) Coesel & Meesters 0.70
Staurastrum tetracerum Ralfs ex Ralfs 0.70 0.70
Staurodesmus convergens (Ehrenberg ex Ralfs) S.Lillieroth 0.70
Staurodesmus cuspidatus (Brébisson) Teiling 0.700.70 0.700.70
Staurodesmus dejectus (Brébisson) Teiling 0.70
Staurodesmus glaber (Ralfs) Teiling 0.70 0.70 0.700.70
Staurodesmus incus (Hassal ex Ralfs) Teiling 0.70 0.70
Staurodesmus leptodermus (P.Lundell) Teiling 0.23
Teilingia granulata (J.Roy & Bisset) Bourrelly 0.700.45 0.700.70
Xanthidium antilopaeum Kützing 0.70 0.70 0.70
Xanthidium cristatum Brébisson ex Ralfs 0.70
Chlorophyta Reichenbach
Ankistrodesmus arcuatus Korshikov0.110.11
Ankistrodesmus falcatus (Corda) Ralfs 0.70 0.700.70
Ankistrodesmus fusiformis Corda0.682.72 0.15 0.70
Ankistrodesmus spiralis (W.B.Turner) Lemmermann 0.70
Botryococcus braunii Kützing3.400.113.150.701.81 0.700.70
Coelastrum astroideum De Notaris 0.15
Comasiella arcuata (Lemmermann) E.Hegewald, M.Wolf, Al.Keller, Friedl & Krienitz0.11
Desmodesmus armatus (Chodat) E.H.Hegewald 0.15
Desmodesmus microspina (Chodat) P.M.Tsarenko 0.700.700.700.15
Desmodesmus spinosus (Chodat) E.Hegewald 0.70
Dimorphococcus lunatus A.Braun 0.700.70
Monoraphidium griffithii (Berkeley) Komárková-Legnerová0.110.11
Mucidosphaerium pulchellum (H.C.Wood) C.Bock, Proschold & Krienitz1.36
Neglectella solitaria (Wittrock) Stenclová & Kaštovský 0.15
Nephrocytium lunatum West 0.70
Oocystis lacustris Chodat 0.700.70
Pandorina morum (O.F.Müller) Bory2.720.110.70 0.700.15 0.700.70
Pseudopediastrum boryanum (Turpin) E.Hegewald 0.110.700.700.700.15
Quadrigula korsikovii Komárek0.11 0.700.70 0.70
Scenedesmus ellipticus Corda 0.110.70 0.70
Selenastrum bibraianum Reinsch0.11 0.70 0.70
Sorastrum spinulosum Nägeli 0.15
Stauridium tetras (Ehrenberg) E.Hegewald 0.11 0.15
Tetradesmus obliquus (Turpin) M.J.Wynne 0.15
Tetraëdron minimum (A.Braun) Hansgirg 0.15
Volvox polychlamys Korshikov34.00 0.70
Willea irregularis (Wille) Schmidle 36.950.70 0.70
Cyanobacteria Stanier ex Cavalier-Smith
Anabaena augstumalis Schmidle 4.80
Chroococcus turgidus (Kützing) Nägeli 0.150.70
Coelosphaerium kuetzingianum Nägeli 11.330.70
Merismopedia glauca (Ehrenberg) Kützing 0.11
Nostoc kihlmanii Lemmermann 34.000.70 0.70 0.70
Oscillatoria limosa C.Agardh ex Gomont0.11 0.700.150.70
Oscillatoria princeps Vaucher ex Gomont0.11 0.70
Oscillatoria tenuis C.Agardh ex Gomont 0.70
Spirulina abbreviata Lemmermann 0.15
Woronichinia naegeliana (Unger) Elenkin17.00
Dinoflagellata Fensome & al.
Ceratium cornutum (Ehrenberg) Claparède & J.Lachmann 0.70
Ceratium hirundinella (O.F.Müller) Dujardin0.34 0.700.70 3.170.70
Peridinium bipes F.Stein 0.11 0.700.450.70
Peridinium cinctum (O.F.Müller) Ehrenberg0.110.110.700.700.70 0.70
Peridinium willei Huitfeldt-Kaas 0.70
Euglenophyta Cavalier-Smith
Colacium vesiculosum Ehrenberg 9.700.70 0.70
Lepocinclis acus (O.F.Müller) B.Marin & Melkonian 0.11 0.15
Monomorphina pyrum (Ehrenberg) Mereschkowsky0.110.11 0.45
Phacus limnophilus (Lemmermann) E.W.Linton & Karnkowska 0.15
Phacus longicauda (Ehrenberg) Dujardin0.110.11 0.70
Phacus orbicularis Hübner0.11 0.15
Phacus pleuronectes (O.F.Müller) Nitzsch ex Dujardin 0.11 0.70
Trachelomonas acanthostoma var. minor Dreżepolski0.11
Trachelomonas armata (Ehrenberg) F.Stein 0.70
Trachelomonas armata var. steinii Lemmermann0.11
Trachelomonas australica var. granulata (Playfair) Deflandre 0.11
Trachelomonas crenulatocollis Maskell 0.70
Trachelomonas dubia Svirenko0.11
Trachelomonas dybowskii Dreżepolski 0.11
Trachelomonas granulosa Playfair 0.70
Trachelomonas hispida (Perty) F.Stein0.110.11 0.23
Trachelomonas superba Svirenko0.11
Heterokontophyta Moestrup, R.A.Andersen & Guiry
Asterionella tekelili D.M.Williams, T.M.Schuster, E.Cesar & Jüttner2.72 0.91
Aulacoseira sp. 3.23
Dinobryon bavaricum Imhof0.340.340.70 0.703.630.70
Dinobryon cylindricum O.E.Imhof 0.70
Dinobryon divergens O.E.Imhof 8.84 0.70
Dinobryon divergens var. schauinslandii (Lemmermann) Brunnthaler 0.70
Dinobryon sertularia Ehrenberg1.20 0.150.701.1322.67
Encyonema silesiacum (Bleisch) D.G.Mann0.34
Entomoneis ornata (Bailey) Reimer 0.70
Epithemia adnata (Kützing) Brébisson 0.15
Epithemia gibba (Ehrenberg) Kützing 0.701.36
Epithemia turgida (Ehrenberg) Kützing 0.15
Gomphonema sp.0.23 0.70
Gomphonema acuminatum Ehrenberg0.11 0.70
Gomphonema capitatum Ehrenberg0.34
Pinnularia nobilis (Ehrenberg) Ehrenberg 0.70
Stauroneis phoenicenteron (Nitzsch) Ehrenberg 0.11
Stenopterobia anceps (F.W.Lewis) Brébisson ex Van Heurck0.110.11 0.23
Tabellaria fenestrata (Lyngbye) Kützing0.112.380.700.700.70 0.700.70
Tabellaria flocculosa (Roth) Kützing4.762.400.700.700.70 0.700.45
Ulnaria ulna (Nitzsch) Compère1.36 0.700.15
Urosolenia eriensis (H.L.Smith) Round & R.M.Crawford0.34 0.70
Table A4. Average biomass (mg per m3) of algae and cyanobacteria species in nine planktonic samples from water bodies of the Olyokma Nature Reserve, August 2024. Samples numbering as in Table 1.
Table A4. Average biomass (mg per m3) of algae and cyanobacteria species in nine planktonic samples from water bodies of the Olyokma Nature Reserve, August 2024. Samples numbering as in Table 1.
TaxaSt 1St 2St 3St 4St 5St 6St 7St 8St 9
Charophyta Migula
Actinotaenium cucurbita (Brébisson ex Ralfs) Teiling 2.22
Bambusina borreri (Ralfs) Cleve 0.85 0.55 0.57
Closterium dianae var. arcuatum (Brebisson ex Ralfs) Rabenhorst 0.68
Closterium gracile Brébisson ex Ralfs 0.90
Closterium intermedium Ralfs 11.111.10
Closterium jenneri Ralfs 0.13
Closterium juncidum Ralfs 0.46
Closterium kuetzingii Brébisson 1.566.93
Closterium leibleinii Kützing ex Ralfs 1.00
Closterium lineatum Ehrenberg ex Ralfs 6.86
Closterium moniliferum Ehrenberg ex Ralfs34.30 1.34
Cosmarium bioculatum Brébisson ex Ralfs0.20 0.580.130.13 0.13
Cosmarium blyttii var. novaesylvae West & G.S.West0.29
Cosmarium botrytis Meneghini ex Ralfs 5.36
Cosmarium brebissonii Meneghini ex Ralfs 2.15
Cosmarium circulare Reinsch 1.82 21.58
Cosmarium contractum O.Kirchner 0.83
Cosmarium crenulatum Nägeli 0.61
Cosmarium formosulum Hoff 4.572.28 2.90
Cosmarium humile Nordstedt ex De Toni 0.10 0.32 0.14
Cosmarium obsoletum (Hantzsch) Reinsch4.96 3.30
Cosmarium pachydermum P.Lundell 5.11
Cosmarium pseudopyramidatum P.Lundell 3.10
Cosmarium punctulatum Brébisson 0.47 1.280.95
Cosmarium reniforme (Ralfs) W.Archer 5.87
Cosmarium subtumidum Nordstedt 2.413.30
Cosmarium subundulatum Wille 3.34
Cosmarium trilobulatum var. depressum Printz 0.32
Cosmarium ungerianum var. subtriplicatum West & G.S.West 2.60
Desmidium aptogonum Brébisson ex Kützing 3.40 0.18
Desmidium aptogonum var. ehrenbergii Kützing 0.25
Desmidium baileyi (Ralfs) Nordstedt 0.30 0.3043.80
Desmidium graciliceps (Nordstedt) Lagerheim 0.33
Desmidium swartzii C.Agardh ex Ralfs1.40 0.78 0.400.690.69
Euastrum binale Ehrenberg ex Ralfs 0.17
Euastrum binale var. minus (West) Willi Krieger 0.90
Euastrum gemmatum Ralfs16.94
Gonatozygon aculeatum W.N.Hastings 2.30
Gonatozygon brebissonii De Bary 0.71
Gonatozygon monotaenium De Bary1.109.99 0.73 0.73 0.73
Groenbladia neglecta (Raciborski) Teiling 0.12
Hyalotheca dissiliens Brébisson ex Ralfs 0.19
Hyalotheca indica W.B.Turner 0.14
Hyalotheca mucosa Ralfs 0.600.30 0.29
Micrasterias crux-melitensis Ralfs 16.70
Micrasterias pinnatifida Ralfs 2.40 6.87
Micrasterias truncata Brébisson ex Ralfs 9.90
Pleurotaenium coronatum (Brébisson) Rabenhorst57.33 34.16
Pleurotaenium elongatum (West) Coesel & Meesters 28.72
Pleurotaenium trabecula Nägeli13.47 16.268.81 8.98
Sphaerozosma filiforme Ralfs 0.90
Sphaerozosma laeve (Nordstedt) Thomasson 0.27
Spondylosium ellipticum West & G.S.West 0.90
Spondylosium lundellii O.Borge 0.680.68
Spondylosium planum (Wolle) West & G.S.West 0.20 0.10
Staurastrum avicula var. lunatum (Ralfs) Coesel & Meesters2.96 0.171.971.97 1.97
Staurastrum boreale West & G.S.West1.50 2.130.70 1.400.700.70
Staurastrum furcatum Brébisson 0.35
Staurastrum furcigerum (Brébisson) W.Archer 3.00
Staurastrum gracile Ralfs ex Ralfs 0.412.80 2.802.802.80
Staurastrum longispinum (Bailey) W.Archer 0.42
Staurastrum manfeldtii Delponte 4.781.55 1.70
Staurastrum muticum Brébisson ex Ralfs 0.32 0.19
Staurastrum paradoxum Meyen ex Ralfs 0.220.15
Staurastrum punctulatum Brébisson 1.41
Staurastrum subarmigerum J.Roy & Bisset 0.170.90
Staurastrum submonticulosum J.Roy & Bisset 1.32
Staurastrum teliferum var. gladiosum (W.B.Turner) Coesel & Meesters 0.29
Staurastrum tetracerum Ralfs ex Ralfs 0.45 0.20
Staurodesmus convergens (Ehrenberg ex Ralfs) S.Lillieroth 1.28
Staurodesmus cuspidatus (Brébisson) Teiling 0.700.70 0.700.70
Staurodesmus dejectus (Brébisson) Teiling 0.60
Staurodesmus glaber (Ralfs) Teiling 0.10 0.80 0.100.10
Staurodesmus incus (Hassal ex Ralfs) Teiling 0.40 0.13
Staurodesmus leptodermus (P.Lundell) Teiling 1.40
Teilingia granulata (J.Roy & Bisset) Bourrelly 0.200.80 0.200.20
Xanthidium antilopaeum Kützing 4.90 4.50 4.90
Xanthidium cristatum Brébisson ex Ralfs 1.99
Chlorophyta Reichenbach
Ankistrodesmus arcuatus Korshikov 0.10
Ankistrodesmus falcatus (Corda) Ralfs 0.10 0.100.10
Ankistrodesmus fusiformis Corda0.600.25 0.10 0.10
Ankistrodesmus spiralis (W.B.Turner) Lemmermann 0.10
Botryococcus braunii Kützing0.280.102.530.100.15 0.100.10
Coelastrum astroideum De Notaris 0.20
Comasiella arcuata (Lemmermann) E.Hegewald, M.Wolf, Al.Keller, Friedl & Krienitz0.20
Desmodesmus armatus (Chodat) E.H.Hegewald 0.10
Desmodesmus microspina (Chodat) P.M.Tsarenko 0.100.100.100.20
Desmodesmus spinosus (Chodat) E.Hegewald 0.10
Dimorphococcus lunatus A.Braun 0.500.50
Monoraphidium griffithii (Berkeley) Komárková-Legnerová0.100.10
Mucidosphaerium pulchellum (H.C.Wood) C.Bock, Proschold & Krienitz0.90
Neglectella solitaria (Wittrock) Stenclová & Kaštovský 0.16
Nephrocytium lunatum West 0.10
Oocystis lacustris Chodat 0.200.40
Pandorina morum (O.F.Müller) Bory0.720.300.20 0.200.40 0.200.20
Pseudopediastrum boryanum (Turpin) E.Hegewald 0.200.400.200.200.30
Quadrigula korsikovii Komárek0.10
Scenedesmus ellipticus Corda 0.100.10 0.20
Selenastrum bibraianum Reinsch0.10 0.10
Sorastrum spinulosum Nägeli 0.40
Stauridium tetras (Ehrenberg) E.Hegewald 0.10 0.20
Tetradesmus obliquus (Turpin) M.J.Wynne 0.20
Tetraëdron minimum (A.Braun) Hansgirg 0.30
Volvox polychlamys Korshikov3.82 0.10
Willea irregularis (Wille) Schmidle 2.480.10 0.10
Cyanobacteria Stanier ex Cavalier-Smith
Anabaena augstumalis Schmidle 0.21
Chroococcus turgidus (Kützing) Nägeli 2.801.40
Coelosphaerium kuetzingianum Nägeli 0.50
Merismopedia glauca (Ehrenberg) Kützing 0.10
Nostoc kihlmanii Lemmermann 1.13 0.10 0.10
Oscillatoria limosa C.Agardh ex Gomont0.30 0.200.400.20
Oscillatoria princeps Vaucher ex Gomont0.36 0.24
Oscillatoria tenuis C.Agardh ex Gomont 0.10
Spirulina abbreviata Lemmermann 0.10
Woronichinia naegeliana (Unger) Elenkin0.57
Dinoflagellata Fensome & al.
Ceratium cornutum (Ehrenberg) Claparède & J.Lachmann 8.68
Ceratium hirundinella (O.F.Müller) Dujardin27.16 5.975.97 253.465.97
Peridinium bipes F.Stein 1.66 7.1143.807.11
Peridinium cinctum (O.F.Müller) Ehrenberg5.725.723.813.813.81 3.81
Peridinium willei Huitfeldt-Kaas 3.62
Euglenophyta Cavalier-Smith
Colacium vesiculosum Ehrenberg 11.870.10 0.10
Lepocinclis acus (O.F.Müller) B.Marin & Melkonian 0.17 0.23
Monomorphina pyrum (Ehrenberg) Mereschkowsky0.490.49 2.00
Phacus limnophilus (Lemmermann) E.W.Linton & Karnkowska 0.39
Phacus longicauda (Ehrenberg) Dujardin1.691.69 1.13
Phacus orbicularis Hübner1.55 2.13
Phacus pleuronectes (O.F.Müller) Nitzsch ex Dujardin 0.61 0.21
Trachelomonas acanthostoma var. minor Dreżepolski0.37
Trachelomonas armata (Ehrenberg) F.Stein 0.83
Trachelomonas armata var. steinii Lemmermann2.47
Trachelomonas australica var. granulata (Playfair) Deflandre 0.62
Trachelomonas crenulatocollis Maskell 1.16
Trachelomonas dubia Svirenko1.35
Trachelomonas dybowskii Dreżepolski 0.84
Trachelomonas granulosa Playfair 0.25
Trachelomonas hispida (Perty) F.Stein0.741.29 0.34
Trachelomonas superba Svirenko1.90
Heterokontophyta Moestrup, R.A.Andersen & Guiry
Asterionella tekelili D.M.Williams, T.M.Schuster, E.Cesar & Jüttner1.80 0.36
Aulacoseira sp. 2.40
Dinobryon bavaricum Imhof0.900.900.20 0.200.940.20
Dinobryon cylindricum O.E.Imhof 0.40
Dinobryon divergens O.E.Imhof 4.50 0.30
Dinobryon divergens var. schauinslandii (Lemmermann) Brunnthaler 0.50
Dinobryon sertularia Ehrenberg0.31 0.600.200.356.93
Encyonema silesiacum (Bleisch) D.G.Mann1.47
Entomoneis ornata (Bailey) Reimer 2.70
Epithemia adnata (Kützing) Brébisson 0.30
Epithemia gibba (Ehrenberg) Kützing 2.5847.00
Epithemia turgida (Ehrenberg) Kützing 1.64
Gomphonema sp.1.15 0.27
Gomphonema acuminatum Ehrenberg0.17 0.13
Gomphonema capitatum Ehrenberg2.24
Pinnularia nobilis (Ehrenberg) Ehrenberg 6.42
Stauroneis phoenicenteron (Nitzsch) Ehrenberg 5.39
Stenopterobia anceps (F.W.Lewis) Brébisson ex Van Heurck0.450.45 0.90
Tabellaria fenestrata (Lyngbye) Kützing0.459.520.300.300.30 0.300.30
Tabellaria flocculosa (Roth) Kützing34.2714.690.540.540.54 0.543.26
Ulnaria ulna (Nitzsch) Compère4.57 0.500.50
Urosolenia eriensis (H.L.Smith) Round & R.M.Crawford0.31 0.70
Table A5. Occurrence on a six-point scale of algae and cyanobacteria species in 15 non-planktonic samples from water bodies of the Olyokma Nature Reserve, August 2024. Samples numbering as in Table 1.
Table A5. Occurrence on a six-point scale of algae and cyanobacteria species in 15 non-planktonic samples from water bodies of the Olyokma Nature Reserve, August 2024. Samples numbering as in Table 1.
Taxa101112131415161718192021222324
Cercozoa Cavalier-Smith
Spongomonas splendida (F.Stein) M.Hartmann & Chagas 1
Charophyta Migula
Actinotaenium capax var. minus (Schmidle) Teiling ex Ruzicka & Pouzar 11
Actinotaenium cucurbita (Brébisson ex Ralfs) Teiling1 1 2
Bambusina borreri (Ralfs) Cleve 1
Closterium abruptum West1
Closterium closterioides var. intermedium (J.Roy & Bisset) Ruzicka 1
Closterium dianae var. arcuatum (Brebisson ex Ralfs) Rabenhorst 1 1
Closterium jenneri Ralfs 5
Closterium leibleinii Kützing ex Ralfs 1 1 2
Closterium littorale F.Gay 1
Closterium navicula (Brébisson) Lütkemüller 1
Closterium setaceum Ehrenberg ex Ralfs2
Closterium venus Kützing ex Ralfs1 1 1
Cosmarium baileyi Wolle 1
Cosmarium bioculatum Brébisson ex Ralfs 2 2 1
Cosmarium blyttii var. novaesylvae West & G.S.West 1 1
Cosmarium botrytis Meneghini ex Ralfs 1 1 1
Cosmarium brebissonii Meneghini ex Ralfs 1
Cosmarium circulare Reinsch 11
Cosmarium contractum O.Kirchner 1
Cosmarium formosulum Hoff 1 21111
Cosmarium granatum Brébisson ex Ralfs 3
Cosmarium hammeri Reinsch1
Cosmarium humile Nordstedt ex De Toni 1
Cosmarium impressulum Elfving 2 1
Cosmarium meneghinii Brébisson ex Ralfs 2
Cosmarium obsoletum (Hantzsch) Reinsch 2 2 11
Cosmarium ochthodes Nordstedt 3
Cosmarium pachydermum P.Lundell 1
Cosmarium pachydermum var. minus Nordstedt 1
Cosmarium porteanum W.Archer 2 1
Cosmarium pseudoexiguum Raciborski 1
Cosmarium pseudopyramidatum P.Lundell 1
Cosmarium punctulatum Brébisson 2 1 1 2
Cosmarium regnellii Wille 1 1 1 2 1
Cosmarium regnesi Reinsch 3 1
Cosmarium sexnotatum var. tristriatum (Lütkemuller) Schmidle 1 1
Cosmarium subprotumidum Nordstedt 2
Cosmarium subundulatum Wille 1
Cosmarium trilobulatum var. depressum Printz 1 1
Cosmarium ungerianum var. subtriplicatum West & G.S.West 11
Desmidium aptogonum Brébisson ex Kützing 2
Desmidium baileyi (Ralfs) Nordstedt 2 23 2
Desmidium coarctatum Nordstedt 1
Desmidium graciliceps (Nordstedt) Lagerheim 1
Desmidium swartzii C.Agardh ex Ralfs 2 1 2
Elakatothrix parvula (W.Archer) Hindák 1
Euastrum ansatum Ehrenberg ex Ralfs 3 1
Euastrum bidentatum Nägeli 1
Euastrum binale var. minus (West) Willi Krieger 2
Euastrum crassicolle P.Lundell 1
Euastrum didelta Ralfs 1
Euastrum elegans Ralfs 1
Euastrum gemmatum Ralfs 1
Euastrum neosinuosum O.V.Anissimova & Guiry3
Euastrum pulchellum Brébisson 2 1
Gonatozygon aculeatum W.N.Hastings 1
Gonatozygon brebissonii De Bary 1
Gonatozygon monotaenium De Bary 1
Groenbladia undulata (Nordstedt) Kurt Förster 2
Haplotaenium rectum (Delponte) Bando1 1
Hyalotheca mucosa Ralfs 1
Micrasterias crux-melitensis Ralfs1 1
Micrasterias pinnatifida Ralfs 1 1
Mougeotia laetevirens (A.Braun) Wittrock 6
Octacanthium bifidum var. latidivergens (West) Petlovany 1
Penium margaritaceum Brébisson ex Ralfs 1
Pleurotaenium clavatum (Ralfs) De Bary 1
Pleurotaenium ehrenbergii (Ralfs) De Bary 1
Spirogyra sp. st. 66
Spondylosium lundellii O.Borge 2 3
Staurastrum avicula var. lunatum (Ralfs) Coesel & Meesters 1
Staurastrum boreale West & G.S.West1 1 1
Staurastrum brevispina Brébisson2 1
Staurastrum dilatatum Ehrenberg ex Ralfs 1
Staurastrum gemelliparum Nordstedt 1
Staurastrum gracile Ralfs ex Ralfs 1 1
Staurastrum granulosum Ralfs2
Staurastrum manfeldtii Delponte 1
Staurastrum muticum Brébisson ex Ralfs 11
Staurastrum paradoxum Meyen ex Ralfs 1 1
Staurastrum punctulatum Brébisson 2 2 1 2
Staurastrum spiniferum West1
Staurastrum teliferum var. gladiosum (W.B.Turner) Coesel & Meesters1 1
Staurastrum vestitum Ralfs 1
Staurodesmus convergens (Ehrenberg ex Ralfs) S.Lillieroth 2 1
Staurodesmus cuspidatus (Brébisson) Teiling 1
Staurodesmus dejectus (Brébisson) Teiling 1
Staurodesmus glaber (Ralfs) Teiling 2
Teilingia granulata (J.Roy & Bisset) Bourrelly 23 1
Xanthidium antilopaeum Kützing 1
Chlorophyta Reichenbach
Acutodesmus acutiformis var. costatus (Huber-Pestalozzi) P.M.Tsarenko & D.M.John 2
Ankistrodesmus falcatus (Corda) Ralfs1 3 12
Ankistrodesmus fusiformis Corda 2 1 11
Ankistrodesmus spiralis (W.B.Turner) Lemmermann 2 1
Aphanochaete repens A.Braun 1
Botryococcus braunii Kützing 1 1
Cosmarium angulosum var. concinnum (Rabenhorst) West & G.S.West 1 3
Desmodesmus armatus (Chodat) E.H.Hegewald 2 1 1 1
Desmodesmus denticulatus var. linearis (Hansgirg) Hegewald 2
Desmodesmus microspina (Chodat) P.M.Tsarenko 2
Dimorphococcus lunatus A.Braun 1 1
Monoraphidium contortum (Thuret) Komárková-Legnerová 13
Monoraphidium griffithii (Berkeley) Komárková-Legnerová 33
Monoraphidium komarkovae Nygaard 1
Mucidosphaerium pulchellum (H.C.Wood) C.Bock, Proschold & Krienitz 2
Neglectella solitaria (Wittrock) Stenclová & Kaštovský 1 1
Oedogonium undulatum A.Braun ex Hirn 2 1
Oocystis parva West & G.S.West 1
Oocystis rhomboidea Fott 1
Pandorina morum (O.F.Müller) Bory 1 2 2
Pseudopediastrum boryanum (Turpin) E.Hegewald 13 1
Quadrigula korsikovii Komárek 2 1
Scenedesmus ellipticus Corda 1 31 22 1
Scenedesmus obtusus f. disciformis (Chodat) Compère 1
Stauridium tetras (Ehrenberg) E.Hegewald 12 2
Tetradesmus obliquus (Turpin) M.J.Wynne 2 3 2
Tetraëdron minimum (A.Braun) Hansgirg 2 2
Ulothrix zonata (F.Weber & Mohr) Kützing 6
Verrucodesmus verrucosus (Y.V.Roll) E.Hegewald 1
Westella botryoides (West) De Wildeman 1
Willea irregularis (Wille) Schmidle 1 1
Cyanobacteria Stanier ex Cavalier-Smith
Anabaena oscillarioides Bory ex Bornet & Flahault 1
Anagnostidinema amphibium (Gomont) Strunecký, Bohunická, J.R.Johansen & Komárek 2
Anathece clathrata (West & G.S.West) Komárek, Kaštovský & Jezberová2
Aphanocapsa conferta (West & G.S.West) Komárková-Legnerová & Cronberg3
Aphanocapsa incerta (Lemmermann) G.Cronberg & Komárek2 2
Chroococcus turgidus (Kützing) Nägeli1 1
Lyngbya cincinnata (Itzigsohn) Compère 1
Merismopedia glauca (Ehrenberg) Kützing1 1 1
Merismopedia tranquilla (Ehrenberg) Trevisan 11 2
Nostoc commune Vaucher ex Bornet & Flahault 6
Nostoc kihlmanii Lemmermann2 1 1
Oscillatoria limosa C.Agardh ex Gomont1 261 1
Oscillatoria princeps Vaucher ex Gomont 6 1
Oscillatoria proboscidea Gomont 6
Oscillatoria rupicola (Hansgirg) Hansgirg ex Forti 1
Oscillatoria tenuis C.Agardh ex Gomont 12 1
Phormidium ambiguum Gomont 2
Phormidium breve (Kützing ex Gomont) Anagnostidis & Komárek 6 1
Rivularia biasolettiana Meneghini ex Bornet & Flahault 1
Scytonema coactile Montagne ex Bornet & Flahault 6 2 6
Snowella lacustris (Chodat) Komárek & Hindák 1 1
Spirulina abbreviata Lemmermann 1
Dinoflagellata Fensome & al.
Ceratium hirundinella (O.F.Müller) Dujardin 1
Peridinium bipes F.Stein 1
Euglenophyta Cavalier-Smith
Lepocinclis oxyuris (Schmarda) B.Marin & Melkonian 1
Monomorphina pyrum (Ehrenberg) Mereschkowsky 1
Phacus orbicularis Hübner 1 221
Trachelomonas armata (Ehrenberg) F.Stein 1
Trachelomonas crenulatocollis Maskell 1
Trachelomonas dybowskii Dreżepolski 1 2
Trachelomonas granulosa Playfair 1
Trachelomonas lacustris Dreżepolski 1
Trachelomonas oblonga Lemmermann 1
Trachelomonas superba Svirenko 1
Trachelomonas woycickii Koczwara 1
Heterokontophyta Moestrup, R.A.Andersen & Guiry
Didymosphenia geminata (Lyngbye) Mart.Schmidt 4
Dinobryon sertularia Ehrenberg 1 1 2
Entomoneis ornata (Bailey) Reimer 1
Epithemia gibba (Ehrenberg) Kützing 1 1
Meridion circulare (Greville) C.Agardh 22 1
Nitzschia acicularis (Kützing) W.Smith 2
Rhoicosphenia abbreviata (C.Agardh) Lange-Bertalot 3
Stenopterobia anceps (F.W.Lewis) Brébisson ex Van Heurck 11 1
Surirella librile (Ehrenberg) Ehrenberg 1
Tabellaria fenestrata (Lyngbye) Kützing 12 3 2 33 23
Tabellaria flocculosa (Roth) Kützing 1223 21 31
Tribonema vulgare Pascher 22
Ulnaria ulna (Nitzsch) Compère 2
Table A6. Average abundance (thou. cells per L) in ecological groups of indicators of phytoplankton in nine planktonic samples from water bodies of the Olyokma Nature Reserve, August 2024. Samples numbering as in Table 1.
Table A6. Average abundance (thou. cells per L) in ecological groups of indicators of phytoplankton in nine planktonic samples from water bodies of the Olyokma Nature Reserve, August 2024. Samples numbering as in Table 1.
IndicatorSt 1St 2St 3St 4St 5St 6St 8St 11St 14
Habitat
B598.4299.21579.3224.4675.51356.6598.4598.4598.4
P-B2101.24676.114,708.410,866.468,890.823,772.8972.43832.94655.7
P23,115.55134.055,528.8374.011,931.737,903.2224.4448.81196.8
Temperature
temp74.802152.200112.20149.61808.8
eterm528.1301.54984.474.874.82488.80149.6752.5
warm00000000149.6
Oxygen
aer00000224.474.80149.6
str00340.0074.80000
st-str1276.14152.510,859.69739.937,996.119,138.6523.61346.44057.3
st149.6299.223,684.4224.430,445.9785.4299.22112.5598.4
Salinity
hb600.7149.634,224.4299.2525.91356.674.8374.0149.6
i24,391.69510.918,681.31122.079,698.352,907.4972.43309.33903.2
hl00564.4149.6224.40149.674.8299.2
mh00112.200112.200453.3
Water pH
acf8076.1600.75888.8374.0673.24637.6374.0822.8149.6
ind1348.7748.06670.810,342.868,519.112,903.0748.02935.32547.7
alf001812.2000224.4299.22108.0
alb00000000149.6
Autotrophy-Heterotrophy
ats74.80340.0074.800 149.6
ate001360.00000149.61509.6
hne00000074.800
Trophic state
ot374.0149.60528.1149.6224.40224.4149.6
om224.474.8904.4224.4374.0673.2224.4448.81659.2
m7849.5598.43508.8523.612,385.1785.4374.0598.4897.6
me149.60336.6149.601020.0149.6149.6299.2
e299.23322.919,828.8374.037,619.93393.2224.4374.01496.0
Class of Water Quality
Class 1224.40792.274.8301.5074.8224.40
Class 223,641.38611.15776.6976.930,894.710,414.2598.42486.52706.4
Class 3448.8451.122,195.29440.712,006.511,094.2299.2822.82094.4
Class 4528.1149.64872.274.8149.62264.40.0224.4149.6
Note: Ecological groups abbreviations: Habitat (P—planktonic, P-B—plankto-benthic, B—benthic); Temperature preferences (temp—temperate, eterm—eurythermic, warm—warm-water); oxygenation and water moving (Oxygen) (aer—aerophiles, str—streaming water, st-str—low streaming water, st—standing); Salinity ecological groups according to [43] (hb—oligohalobes-halophobes, i—oligohalobes-indifferent, hl—halophiles, mh—mesohalobes); pH preferences groups (Water pH) according to [42] (alb—alkalibiontes, alf—alkaliphiles, ind—indifferent, acf—acidophiles); nitrogen uptake metabolism (Autotrophy-Heterotrophy) according to [44]: ats—nitrogen-autotrophic taxa, tolerating very small concentrations of organically bound nitrogen; ate—nitrogen-autotrophic taxa, tolerating elevated concentrations of organically bound nitrogen; hne—facultative nitrogen-heterotrophic taxa, needing periodically elevated concentrations of organically bound nitrogen. Trophic state indicators according to [44]: (ot—oligotraphentic, om—oligomesotraphentic, m—mesotraphentic, me—mesoeutraphentic, e—eutraphentic); Index S, species-specific index saprobity according to [45] (Class of Water Quality).

References

  1. Vincent, W.F.; Laurion, I.; Pienitz, R.; Walter Anthony, K.M. Climate Impacts on Arctic Lake Ecosystems. In Climatic Change and Global Warming of Inland Waters; Goldman, C.R., Kumagai, M., Robarts, R.D., Eds.; Wiley-Blackwel: Chichester, UK, 2012; pp. 27–42. [Google Scholar]
  2. Pokrovsky, O.S.; Manasypov, R.M.; Kopysov, S.G.; Krickov, I.V.; Shirokova, L.S.; Loiko, S.V.; Lim, A.G.; Kolesnichenko, L.G.; Vorobyev, S.N.; Kirpotin, S.N. Impact of Permafrost Thaw and Climate Warming on Riverine Export Fluxes of Carbon, Nutrients and Metals in Western Siberia. Water 2020, 12, 1817. [Google Scholar] [CrossRef]
  3. Thompson, M.S.; Wrona, F.J.; Prowse, T.D. Shifts in Plankton, Nutrient and Light Relationships in Small Tundra Lakes Caused by Localized Permafrost Thaw. Arctic 2012, 65, 367–510. [Google Scholar] [CrossRef]
  4. Wauthy, M.; Rautio, M. Permafrost thaw stimulates primary producers but has a moderate effect on primary consumers in subarctic ponds. Ecosphere 2020, 11, e03099. [Google Scholar] [CrossRef]
  5. Ayala-Borda, P.; Lovejoy, C.; Power, M.; Rautio, M. Evidence of eutrophication in Arctic lakes. Arct. Sci. 2021, 7, 859–871. [Google Scholar] [CrossRef]
  6. Jasinski, B.L.; Hewitt, R.E.; Mauritz, M.; Miller, S.N.; Schuur, E.A.; Taylor, M.A.; Walker, X.J.; Mack, M.C. Plant foliar nutrient response to active layer and water table depth in warming permafrost soils. J. Ecol. 2022, 110, 1201–1216. [Google Scholar] [CrossRef]
  7. Saros, J.E.; Arp, C.D.; Bouchard, F.; Comte, J.; Couture, R.-M.; Dean, J.F.; Lafrenière, M.; MacIntyre, S.; McGowan, S.; Rautio, M.; et al. Sentinel responses of Arctic freshwater systems to climate: Linkages, evidence, and a roadmap for future research. Arct. Sci. 2023, 9, 356–392. [Google Scholar] [CrossRef]
  8. Yun, H.; Zhu, Q.; Tang, J.; Zhang, W.; Chen, D.; Ciais, P.; Wu, Q.; Elberling, B. Warming, permafrost thaw and increased nitrogen availability as drivers for plant composition and growth across the Tibetan Plateau. Soil Biol. Biochem. 2023, 182, 109041. [Google Scholar] [CrossRef]
  9. Martínez-Burgos, W.J.; Pozzan, R.; de Carvalho, J.C.; Cavali, M.; Mariano, A.B.; Vargas, J.V.C.; Ordonez, J.; Severo, I.A.; Soccol, C.R. The Role of Microalgae as Bioindicators of Aquatic Contamination. In Algae as a Natural Solution for Challenges in Water-Food-Energy Nexus. Environmental Science and Engineering; Kurniawan, T.A., Anouzla, A., Eds.; Springer: Singapore, 2024; pp. 323–347. [Google Scholar]
  10. Wiłkomirski, B. History of bioindication (Historia bioindykacji). Monit. Sr. Przyr. 2013, 14, 137–142. [Google Scholar]
  11. Burger, J. Bioindicators: Types, Development, and Use in Ecological Assessment and Research. Environ. Bioindic. 2006, 1, 22–39. [Google Scholar] [CrossRef]
  12. Vasilyeva, I.I.; Rozhkov, Y.F.; Rozhkova, O.Y. Features of the development of phytoplankton communities of water bodies in the south of Yakutia (using the example of watercourses of Olyokma Nature Reserve). In Biological and Ecological Studies in the Republic of Sakha (Yakutia); Publishing House of the Yakut State University: Yakutsk, Russia, 1996; pp. 150–154. (In Russian) [Google Scholar]
  13. Vasilyeva, I.I.; Rozhkov, Y.F.; Rozhkova, O.Y. Features of the seasonal dynamics of the development of phyto- and bacterioplankton in watercourses of the Olyokma Nature Reserve (Republic of Sakha (Yakutia). Algologia 1997, 7, 166–170. (In Russian) [Google Scholar]
  14. Vasilyeva, I.I.; Pshennikova, E.V.; Rozhkova, O.Y. Algae of some rivers of the Olyokma Nature Reserve. In Issues of Ecology and Environmental Education in Yakutia; Publishing House of the Yakut State University: Yakutsk, Russia, 1998; pp. 36–41. (In Russian) [Google Scholar]
  15. Rozhkova, O. Seasonal dynamics of phytoplankton development. In Strict Nature Reserves (Zapovedniki) of Russia; Sabashnikov publishers: Moscow, Russia, 1996; pp. 155–156. [Google Scholar]
  16. Rozhkova, O.Y. Research of the algal flora of the Olyokma Nature Reserve. In Flora and Fauna of Specially Protected Natural Areas of the Republican System Ytyk Kere Sirder; Kuduk: Yakutsk, Russia, 2001; pp. 53–72. (In Russian) [Google Scholar]
  17. Gabyshev, V.A.; Gabysheva, O.I. Spatial structure of the phytoplankton of Olyokma River (Eastern Siberia) in summer and its habitat conditions. Izv. Komi Nauchnogo Cent. UB RAS 2013, 1, 25–31. (In Russian) [Google Scholar]
  18. Reynolds, C.S. Ecology of Phytoplankton; Cambridge University Press: Cambridge, UK, 2006; p. 535. [Google Scholar]
  19. Desyatkin, R.V.; Okoneshnikova, M.V.; Desyatkin, A.R. Soils of Yakutia; Bichik Publishing House: Yakutsk, Russia, 2009; p. 64. (In Russian) [Google Scholar]
  20. Izyumenko, S.A. (Ed.) Climate of the Yakut Autonomous Soviet Socialist Republic (Atlas); Gidrometeoizdat: Leningrad, Russia, 1968; 33p. (In Russian) [Google Scholar]
  21. Weather and Climate. Available online: http://www.pogodaiklimat.ru/history/30089.htm (accessed on 9 May 2025).
  22. Semenov, A.D. Guidance on the Chemical Analysis of Surface Waters of the Land; Gidrometeoizdat: Leningrad, Russia, 1977; p. 541. (In Russian) [Google Scholar]
  23. Water Analysis. In A Practical Guide to Physico-Chemical, Chemical, and Microbiological Water Examination and Quality Assurance; Fresenius, W., Quentin, K.E., Schneider, W., Eds.; Springer: Berlin/Heidelberg, Germany, 1988; p. 830. [Google Scholar]
  24. Starmach, K. Chrysophyceae und Haptophyceae; VEB Gustav Fischer: Jena, Germany, 1985; 515p. [Google Scholar]
  25. Vasilyeva, I.I. Freshwater euglenids and yellow-green algae of water bodies of Yakutia; Nauka: Leningrad, Russia, 1987; 265p. (In Russian) [Google Scholar]
  26. Palamar-Mordvintseva, G.M. Green algae. Class Conjugates. In Key to Freshwater Algae of the USSR; Nauka: Leningrad, Russia, 1982; Issue 11 (2); 483p. (In Russian) [Google Scholar]
  27. Popovský, J.; Pfiester, L.A. Dinophyceae (Dinoflagellida); Gustav Fischer: Stuttgart, Germany; Jena, Germany, 1990; 272 s. [Google Scholar]
  28. Tsarenko, P.M. Brief Guide to Chlorococcal Algae of the Ukrainian SSR; Naukova Dumka: Kyiv, Ukraine, 1990; 208p. (In Russian) [Google Scholar]
  29. Komárek, J. Heterocytous Genera. Cyanoprokaryota. T. 3, P. 3.; Springer Spektrum: Berlin, Germany, 2013; 1130p. [Google Scholar]
  30. Komárek, J.; Anagnostidis, K. Cyanoprokaryota. T. 2. Oscillatoriales; Elsevier: München, Germany, 2005; 759p. [Google Scholar]
  31. Komárek, J.; Anagnostidis, K. Cyanoprokaryota. T. 1. Chroococcales; Gustav Fischer: Jena, Germany, 1998; 548p. [Google Scholar]
  32. Kulikovskiy, M.S.; Glushchenko, A.M.; Genkal, S.I.; Kuznetsova, I.V. Identification Book of Diatoms from Russia; Filigran: Yaroslavl, Russia, 2016; 804p. [Google Scholar]
  33. Guiry, M.D.; Guiry, G.M. AlgaeBase. World-Wide Electronic Publication, University of Galway. 2024. Available online: https://www.algaebase.org (accessed on 3 December 2024).
  34. Hillebrand, H.; Durselen, C.D.; Kirschtel, D.; Pollingher, U.; Zohary, T. Biovolume calculation for pelagic and benthic microalgae. J. Phycol. 1999, 35, 403–424. [Google Scholar] [CrossRef]
  35. Barinova, S.S.; Medvedeva, L.A.; Anissimova, O.V. Diversity of Algal Indicators in Environmental Assessment; Pilies Studio Publisher: Tel Aviv, Israel, 2006; p. 498. (In Russian) [Google Scholar]
  36. Shannon, C.E.; Weaver, W. The Mathematical Theory of Communication; The University of Illinois Press: Urbana, IL, USA, 1949; p. 117. [Google Scholar]
  37. McAleece, N.; Gage, J.D.G.; Lambshead, P.J.D.; Paterson, G.L.J. BioDiversity Professional Statistics Analysis Software; Jointly developed by the Scottish Association for Marine Science and the Natural History Museum: London, UK, 1997; Available online: https://www.sams.ac.uk/science/outputs/ (accessed on 15 January 2025).
  38. Love, J.; Selker, R.; Marsman, M.; Jamil, T.; Dropmann, D.; Verhagen, J.A.; Ly, A.; Gronau, F.Q.; Smira, M.; Epskamp, S.; et al. JASP: Graphical statistical software for common statistical designs. J. Stat. Softw. 2019, 88, 1–17. [Google Scholar] [CrossRef]
  39. Wessa, P. Person Correlation (v1.0.13) in Free Statistics Software (v1.2.1). Office for Research Development and Education. 2017. Available online: https://www.wessa.net/rwasp_correlation.wasp/ (accessed on 23 December 2024).
  40. Barinova, S.S.; Bilous, O.P.; Tsarenko, P.M. Algal Indication of Water Bodies in Ukraine: Methods and Prospects; Publishing House of Haifa University: Kyiv, Israel, 2019; p. 367. (In Russian) [Google Scholar]
  41. Barinova, S. Essential and practical bioindication methods and systems for the water quality assessment. Int. J. Environ. Sci. Nat. Resour. 2017, 2, 555588. [Google Scholar] [CrossRef]
  42. Hustedt, F. Die Diatomeen flora des Flußsystems der Weser im Gebiet der Hansestadt Bremen. Abh. Des Naturwissenschaftlichen Ver. Zu Brem. 1957, 34, 181–440. [Google Scholar]
  43. Hustedt, F. Systematische und Ökologische Untersuchungen über die Diatomeenflora von Java, Bali und Sumatra. Arch. Für Hydrobiol. Suppl. 1938–1939, 15–16, 131–177, 393–506, 638–790, 1–155, 274–394. [Google Scholar]
  44. Van Dam, H.; Mertens, A.; Sinkeldam, J. A coded checklist and ecological indicator values of freshwater diatoms from the Netherlands. Neth. J. Aquat. Ecol. 1994, 28, 117–133. [Google Scholar] [CrossRef]
  45. Sládeček, V. Diatoms as indicators of organic pollution. Acta Hydrochim. Et Hydrobiol. 1986, 14, 555–566. [Google Scholar] [CrossRef]
  46. Elovskaya, L.G. Classification and Diagnostics of Frozen Soils in Yakutia; Publishing House of the Yakut Branch of the Siberian Division of the USSR Academy of Sciences: Yakutsk, Russia, 1987; p. 172. (In Russian) [Google Scholar]
  47. Reyes, F.R.; Lougheed, V.L. Rapid Nutrient Release from Permafrost Thaw in Arctic Aquatic Ecosystems. Arct. Antarct. Alp. Res. 2015, 47, 35–48. [Google Scholar] [CrossRef]
  48. Fouché, J.; Christiansen, C.T.; Lafrenière, M.J.; Grogan, P.; Lamoureux, S.F. Canadian permafrost stores large pools of ammonium and optically distinct dissolved organic matter. Nat. Commun. 2020, 11, 4500. [Google Scholar] [CrossRef]
  49. Menzel, D.W.; Spaeth, J.P. Occurrence of ammonia in Sargasso Sea waters and in rain water at Bermuda. Limnol. Oceanogr. 1962, 7, 159–162. [Google Scholar] [CrossRef]
  50. Perelman, A.I. Geochemistry of Natural Waters; Nauka: Moscow, Russia, 1982; p. 154. (In Russian) [Google Scholar]
  51. Matveev, A.N.; Samusenok, V.P.; Rozhkova, N.A.; Bondarenko, N.A.; Kravtsova, L.S.; Sheveleva, N.G.; Slugina, Z.V.; Yuryev, A.L. Biota of the Vitim Nature Reserve: Structure of the Biota of Aquatic Ecosystems; Academic Publishing House “Geo”: Novosibirsk, Russia, 2006; p. 256. (In Russian) [Google Scholar]
  52. Biskaborn, B.K.; Nazarova, L.; Kröger, T.; Pestryakova, L.A.; Syrykh, L.; Pfalz, G.; Herzschuh, U.; Diekmann, B. Late quaternary climate reconstruction and lead-lag relationships of biotic and sediment-geochemical indicators at Lake Bolshoe Toko, Siberia. Front. Earth Sci. 2021, 9, 737353. [Google Scholar] [CrossRef]
  53. Genkal, S.; Gabyshev, V.; Kulikovskiy, M.; Kuznetsova, I. Pliocaenicus bolshetokoensis—A new species from Lake Bolshoe Toko (Yakutia, Eastern Siberia, Russia). Diatom Res. 2018, 33, 145–153. [Google Scholar] [CrossRef]
  54. Genkal, S.I.; Gabyshev, V.A. New records of centric diatoms from Yakutia (Bolshoe Toko Lake): SEM morphology, ecology and distribution. Nov. Sist. Nizshikh Rastenii 2018, 52, 245–252. [Google Scholar] [CrossRef]
  55. Genkal, S.I.; Gabyshev, V.A. Diatoms (Bacillariophyta, Fragilariophyceae, and Bacillariophyceae) of Lake Bolshoye Toko (South Yakutia). Inland Water Biol. 2020, 13, 122–130. [Google Scholar] [CrossRef]
  56. Gusev, E.S.; Guseva, E.E.; Gabyshev, V.A. Taxonomic composition of silica-scaled chrysophytes in rivers and lakes of Yakutia and Magadanskaya oblast (Russia). Nova Hedwig. Beih. 2018, 147, 105–117. [Google Scholar] [CrossRef]
  57. Stoof-Leichsenring, K.R.; Dulias, K.; Biskaborn, B.K.; Pestryakova, L.A.; Herzschuh, U. Lake-depth related pattern of genetic and morphological diatom diversity in boreal Lake Bolshoe Toko, Eastern Siberia. PLoS ONE 2020, 15, e0230284. [Google Scholar] [CrossRef]
  58. Genkal, S.I.; Bondarenko, N.A.; Popovskaya, G.I. New representative of the genus Discostella Houk et Klee (Bacillariophyta) from the Eastern Baikal area. Int. J. Algae 2007, 9, 359–364. [Google Scholar] [CrossRef]
  59. Søndergaard, M.; Jensen, J.P.; Jeppesen, E. Role of Sediment and Internal Loading of Phosphorus in Shallow Lakes. Hydrobiologia 2003, 506, 135–145. [Google Scholar] [CrossRef]
  60. Soininen, J.; Luoto, M. Is catchment productivity a useful predictor of taxa richness in lake plankton communities? Ecol. Appl. 2012, 22, 624–633. [Google Scholar] [CrossRef]
  61. Toporowska, M.; Ferencz, B.; Dawidek, J. Impact of lake-catchment processes on phytoplankton community structure in temperate shallow lakes. Ecohydrology 2018, 11, e2017. [Google Scholar] [CrossRef]
  62. Ongun Sevindik, O.T.; Çetin, T.; Tekbaba, A.; Güzel, U. Impacts of Lake Surface Area on Phytoplankton Community Dynamics and Ecological Status Across 70 Lentic Systems in Türkiye. Ecohydrology 2025, 18, e70031. [Google Scholar] [CrossRef]
  63. Lara, M.J.; Lin, D.H.; Andresen, C.; Lougheed, V.L.; Tweedie, C.E. Nutrient release from permafrost thaw enhances CH4 emissions from Arctic tundra wetlands. J. Geophys. Res. Biogeosci. 2019, 124, 1560–1573. [Google Scholar] [CrossRef]
  64. Pokrovsky, O.S.; Manasypov, R.M.; Pavlova, O.A.; Shirokova, L.S.; Vorobyev, S.N. Carbon, nutrient and metal controls on phytoplankton concentration and biodiversity in thermokarst lakes of latitudinal gradient from isolated to continuous permafrost. Sci. Total Environ. 2022, 806, 151250. [Google Scholar] [CrossRef]
  65. Munawar, M.; Fitzpatrick, M.A.J. Eutrophication in three Canadian Areas of Concern: Phytoplankton and major nutrient interactions. Aquat. Ecosyst. Health Manag. 2018, 21, 421–437. [Google Scholar] [CrossRef]
  66. Maberly, S.C.; Van de Waal, D.B.; Raven, J.A. Phytoplankton Growth and Nutrients. In Encyclopedia of Inland Waters, 2nd ed.; Mehner, T., Tockner, K., Eds.; Elsevier: Oxford, UK, 2022; pp. 130–138. [Google Scholar]
Figure 1. Sampling points in the studied area of the Olyokma Nature Reserve, station numbers according to Table 1. Blue dots as sampling points; black square as a rural locality; blue arrows show the course of the river; red line shows the border of the Nature Reserve; red dot shows the location on the world map.
Figure 1. Sampling points in the studied area of the Olyokma Nature Reserve, station numbers according to Table 1. Blue dots as sampling points; black square as a rural locality; blue arrows show the course of the river; red line shows the border of the Nature Reserve; red dot shows the location on the world map.
Water 17 01686 g001
Figure 2. Main natural landscape of investigated water bodies of the Olyokma Nature Reserve. Stream 1 (station 12) (a), Olyokma River (station 7) (b), Podskalnoye Lake (station 2) (c), Lake 4 (station 4) (d), Swamp 1 (station 10) (e), biofilm on the silt on the shore of Lake 1 (station 3) (f), salt lick and Pool 1 (station 9) (g) and Stream 2 (station 13) (h).
Figure 2. Main natural landscape of investigated water bodies of the Olyokma Nature Reserve. Stream 1 (station 12) (a), Olyokma River (station 7) (b), Podskalnoye Lake (station 2) (c), Lake 4 (station 4) (d), Swamp 1 (station 10) (e), biofilm on the silt on the shore of Lake 1 (station 3) (f), salt lick and Pool 1 (station 9) (g) and Stream 2 (station 13) (h).
Water 17 01686 g002
Figure 3. JASP network plot of correlations of chemical variables in 14 sampling stations (a) and dynamic of productive elements in 9 sampling stations (where only phytoplankton was collected) (b) of Olyokma Nature Reserve, 2024 according to Appendix A Table A1. The thickness of the lines in (a) is proportional to the strength of the connection, indicated by the numbers. Blue lines—positive correlation, red lines—negative correlation. Clusters marked as 1 and 2. The trend lines in (b) are given as dashed lines.
Figure 3. JASP network plot of correlations of chemical variables in 14 sampling stations (a) and dynamic of productive elements in 9 sampling stations (where only phytoplankton was collected) (b) of Olyokma Nature Reserve, 2024 according to Appendix A Table A1. The thickness of the lines in (a) is proportional to the strength of the connection, indicated by the numbers. Blue lines—positive correlation, red lines—negative correlation. Clusters marked as 1 and 2. The trend lines in (b) are given as dashed lines.
Water 17 01686 g003
Figure 4. JASP network plot correlations of species numbers, abundances and biomasses of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 according to Table 2, Table 3 and Table 4. The thickness of the lines is proportional to the strength of the connection, indicated by the numbers. Blue lines—positive correlation, red lines—negative correlation. Clusters marked as 1, 2 and 3 and outlined by dashed lines.
Figure 4. JASP network plot correlations of species numbers, abundances and biomasses of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 according to Table 2, Table 3 and Table 4. The thickness of the lines is proportional to the strength of the connection, indicated by the numbers. Blue lines—positive correlation, red lines—negative correlation. Clusters marked as 1, 2 and 3 and outlined by dashed lines.
Water 17 01686 g004
Figure 5. Phytoplankton variables dynamics in sampling stations of Olyokma Nature Reserve, 2024. (a) Indices of diversity and saprobity; (b) species richness, abundance and biomass. The dashed lines are linear trendlines.
Figure 5. Phytoplankton variables dynamics in sampling stations of Olyokma Nature Reserve, 2024. (a) Indices of diversity and saprobity; (b) species richness, abundance and biomass. The dashed lines are linear trendlines.
Water 17 01686 g005
Figure 6. Distribution of species numbers in taxonomic phyla (according to Table 2) and bioindicators abundances (according to Appendix A Table A6) of phytoplankton in nine sampling stations of the Olyokma Natural Reserve, 2024. (a) No of Species. Abbreviations of ecological groups: (b) Habitat (P—planktonic, P-B—plankto-benthic, B—benthic); (c) Temperature preferences (temp—temperate, eterm—eurythermic, warm—warm water); (d) oxygenation and water moving (Oxygen) (aer—aerophiles, str—streaming water, st-str—low streaming water, st—standing).
Figure 6. Distribution of species numbers in taxonomic phyla (according to Table 2) and bioindicators abundances (according to Appendix A Table A6) of phytoplankton in nine sampling stations of the Olyokma Natural Reserve, 2024. (a) No of Species. Abbreviations of ecological groups: (b) Habitat (P—planktonic, P-B—plankto-benthic, B—benthic); (c) Temperature preferences (temp—temperate, eterm—eurythermic, warm—warm water); (d) oxygenation and water moving (Oxygen) (aer—aerophiles, str—streaming water, st-str—low streaming water, st—standing).
Water 17 01686 g006
Figure 7. Bioindicators abundances (Appendix A Table A6) of phytoplankton in nine sampling stations of the Olyokma Natural Reserve, 2024. Abbreviation of ecological groups: (a) pH preferences groups (pH) according to [42] (alb—alkalibiontes, alf—alkaliphiles, ind—indifferent, acf—acidophiles); (b) salinity ecological groups (Salinity) according to [43] (hb—oligohalobes-halophobes, i—oligohalobes-indifferent, hl—halophiles, mh—mesohalobes); (c) Trophic state indicators (Trophic state) according to [44]: (ot—oligotraphentic, om—oligomesotraphentic, m—mesotraphentic, me—mesoeutraphentic, e—eutraphentic); (d) Index S, species-specific index saprobity according to [45] (Class of Water Quality).
Figure 7. Bioindicators abundances (Appendix A Table A6) of phytoplankton in nine sampling stations of the Olyokma Natural Reserve, 2024. Abbreviation of ecological groups: (a) pH preferences groups (pH) according to [42] (alb—alkalibiontes, alf—alkaliphiles, ind—indifferent, acf—acidophiles); (b) salinity ecological groups (Salinity) according to [43] (hb—oligohalobes-halophobes, i—oligohalobes-indifferent, hl—halophiles, mh—mesohalobes); (c) Trophic state indicators (Trophic state) according to [44]: (ot—oligotraphentic, om—oligomesotraphentic, m—mesotraphentic, me—mesoeutraphentic, e—eutraphentic); (d) Index S, species-specific index saprobity according to [45] (Class of Water Quality).
Water 17 01686 g007
Figure 8. JASP network plot of correlations of bioindicators and abundances of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 according to Appendix A Table A6. The thickness of the lines is proportional to the strength of the connection, indicated by the numbers. Blue lines—positive correlation, red lines—negative correlation. Clusters marked as 1, 2 and 3.
Figure 8. JASP network plot of correlations of bioindicators and abundances of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 according to Appendix A Table A6. The thickness of the lines is proportional to the strength of the connection, indicated by the numbers. Blue lines—positive correlation, red lines—negative correlation. Clusters marked as 1, 2 and 3.
Water 17 01686 g008
Figure 9. JASP network plot of correlations of chemical variables (Appendix A Table A1), species richness (Table 2), bioindicators (Appendix A Table A6) abundances and biomasses (Table 3 and Table 4) of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 according to Appendix A Table A6. The thickness of the lines is proportional to the strength of the connection, indicated by the numbers. Blue lines—positive correlation, red lines—negative correlation. Clusters marked as 1, 2 and 3.
Figure 9. JASP network plot of correlations of chemical variables (Appendix A Table A1), species richness (Table 2), bioindicators (Appendix A Table A6) abundances and biomasses (Table 3 and Table 4) of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 according to Appendix A Table A6. The thickness of the lines is proportional to the strength of the connection, indicated by the numbers. Blue lines—positive correlation, red lines—negative correlation. Clusters marked as 1, 2 and 3.
Water 17 01686 g009
Figure 10. Tree of similarity of biological variables of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 (Table 2, Table 3 and Table 4).
Figure 10. Tree of similarity of biological variables of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 (Table 2, Table 3 and Table 4).
Water 17 01686 g010
Figure 11. Tree of similarity of species richness, bioindicator abundance, abundance and biomass of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 (Table 2, Table 3 and Table 4 and Appendix A Table A6).
Figure 11. Tree of similarity of species richness, bioindicator abundance, abundance and biomass of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 (Table 2, Table 3 and Table 4 and Appendix A Table A6).
Water 17 01686 g011
Figure 12. Tree of similarity of chemical variables, species richness, bioindicator abundance, abundance and biomass of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 (Table 2, Table 3 and Table 4, Appendix A Table A1 and Table A6).
Figure 12. Tree of similarity of chemical variables, species richness, bioindicator abundance, abundance and biomass of phytoplankton in nine sampling stations of Olyokma Nature Reserve, 2024 (Table 2, Table 3 and Table 4, Appendix A Table A1 and Table A6).
Water 17 01686 g012
Figure 13. RDA plot of phytoplankton biomass in phyla, species richness, Shannon index of phytoplankton, and major environmental variables of studied lakes in nine sampling stations of Olyokma Nature Reserve, 2024. Eigenvalue = 0.851, p = 0.002. The numbers on the plot are the Station number as in Table 1. Environmental variables are with red arrowhead; the biological variables are with blue arrowhwhead.
Figure 13. RDA plot of phytoplankton biomass in phyla, species richness, Shannon index of phytoplankton, and major environmental variables of studied lakes in nine sampling stations of Olyokma Nature Reserve, 2024. Eigenvalue = 0.851, p = 0.002. The numbers on the plot are the Station number as in Table 1. Environmental variables are with red arrowhead; the biological variables are with blue arrowhwhead.
Water 17 01686 g013
Table 1. Information on the type of samples and sampling locations in the Olyokma Nature Reserve in 2024.
Table 1. Information on the type of samples and sampling locations in the Olyokma Nature Reserve in 2024.
Station NoName of Water bodyAltitude, m a.s.l.Sample Type and Its NumberGeographical Position
12345678LatitudeLongitude
1Lake 71899a, 9b 20Ch1358°30′7″121°37′12″
2Podskalnoye Lake1848a, 8b 14161821Ch1258°35′31″121°30′22″
3Lake 11711a, 1b23 Ch159°2′2″121°46′48″
4Lake 41714a, 4b Ch459°1′48″121°45′40″
5Lake 31703a, 3b24 Ch359°1′55″121°45′25″
6Lake 21702a, 2b Ch259°2′6″121°47′6″
7Olyokma River162 17 Ch1459°2′13″121°46′19″
8Bolshoy Sordonokh Lake1737a, 7b 13 19Ch1159°4′26″121°49′5″
9Pool 1170 22 Ch1059°4′41″121°48′29″
10Swamp 1167 10 Ch659°11′6″121°45′43″
11Lake 51625a, 5b Ch559°11′6″121°45′32″
12Stream 1180 1112 Ch759°11′53″121°46′59″
13Stream 2161 15 Ch859°13′8″121°41′46″
14Mundunda Lake1636a, 6b Ch959°13′8″121°42′7″
Note: Sample type—1, plankton (“a”—qualitative sample, “b”—quantitative sample); 2, biofilm on lake sediment; 3, moss extract; 4, colony of filamentous algae; 5, scraping from stone; 6, colony of Nostoc commune; 7, turf; 8, hydrochemistry.
Table 2. Taxonomical distribution of species richness of algae and cyanobacteria in phyla over 14 sampling stations of the Olyokma Natural Reserve, August 2024.
Table 2. Taxonomical distribution of species richness of algae and cyanobacteria in phyla over 14 sampling stations of the Olyokma Natural Reserve, August 2024.
PhylumSt 1St 2St 3St 4St 5St 6St 7St 8St 9St 10St 11St 12St 13St 14
Cercozoa00000010000000
Charophyta364926113818102161320148
Chlorophyta72218614111372171512
Cyanobacteria39946325373024
Dinoflagellata32232201002000
Euglenophyta13819702205004
Heterokontophyta661236756006185
Total569175287548314213214331933
Note: Station numbering as in Table 1.
Table 3. Average abundance (thou. cells L−1) of phytoplankton phyla of nine water bodies of the Olyokma Nature Reserve, August 2024.
Table 3. Average abundance (thou. cells L−1) of phytoplankton phyla of nine water bodies of the Olyokma Nature Reserve, August 2024.
PhylumSt 1St 2St 3St 4St 5St 6St 8St 11St 14
Charophyta9.21.11.51.22.03.51.11.51.2
Chlorophyta0.40.543.20.567.93.80.22.31.8
Cyanobacteria0.10.217.60.311.538.20.20.20.6
Dinoflagellata0.23.60.50.20.60.20.10.20
Euglenophyta0.10.20.99.100.80.10.40.9
Heterokontophyta23.64.911.80.21.217.10.40.52.0
Total33.510.575.311.582.763.61.95.06.5
Note: Station numbering as in Table 1.
Table 4. Average biomass (mg m−3) of phytoplankton phyla of nine water bodies of the Olyokma Nature Reserve, August 2024.
Table 4. Average biomass (mg m−3) of phytoplankton phyla of nine water bodies of the Olyokma Nature Reserve, August 2024.
PhylumSt 1St 2St 3St 4St 5St 6St 8St 11St 14
Charophyta105.99.5133.422.262.138.247.558.032.1
Chlorophyta0.10.15.00.15.10.40.020.20.4
Cyanobacteria00.011.000.11.41.40.32.93
Dinoflagellata16.9296.532.913.49.816.47.112.50
Euglenophyta0.30.310.611.905.70.13.44.8
Heterokontophyta11.62.146.67.31.336.62.84.249.5
Total134.7308.7229.454.878.398.659.078.789.7
Note: Station numbering as in Table 1.
Table 5. Biological variables of 14 sampling stations of Olyokma Nature Reserve, 2024.
Table 5. Biological variables of 14 sampling stations of Olyokma Nature Reserve, 2024.
VariableSt 1St 2St 3St 4St 5St 6St 7St 8St 9St 10St 11St 12St 13St 14
No of Species569175287548314213214331933
Abundance, thou. cells L−1341175128364n/a2n/a75n/an/an/a
Biomass, mg L−1135309230557899n/a59n/a9079n/an/an/a
Shannon H′ plankton0.2380.6710.8380.3290.3790.924n/a1.114n/a1.2561.033n/an/an/a
Index S plankton1.251.321.912.351.521.66n/a1.42n/a1.611.57n/an/an/a
Index S phytoperiphyton—average1.591.931.772.351.871.661.872.372.021.451.571.502.061.61
Index S average1.421.631.842.351.71.661.871.892.021.451.571.502.061.61
Note: Station numbering as in Table 1; “n/a”, data not available.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Barinova, S.; Gabyshev, V.A.; Gabysheva, O.I.; Gabyshev, E.M. Microalgae as Bioindicators of Changes in Permafrost Catchments: A Reference Area of the Olyokma Nature Reserve, Yakutia. Water 2025, 17, 1686. https://doi.org/10.3390/w17111686

AMA Style

Barinova S, Gabyshev VA, Gabysheva OI, Gabyshev EM. Microalgae as Bioindicators of Changes in Permafrost Catchments: A Reference Area of the Olyokma Nature Reserve, Yakutia. Water. 2025; 17(11):1686. https://doi.org/10.3390/w17111686

Chicago/Turabian Style

Barinova, Sophia, Viktor A. Gabyshev, Olga I. Gabysheva, and Eduard M. Gabyshev. 2025. "Microalgae as Bioindicators of Changes in Permafrost Catchments: A Reference Area of the Olyokma Nature Reserve, Yakutia" Water 17, no. 11: 1686. https://doi.org/10.3390/w17111686

APA Style

Barinova, S., Gabyshev, V. A., Gabysheva, O. I., & Gabyshev, E. M. (2025). Microalgae as Bioindicators of Changes in Permafrost Catchments: A Reference Area of the Olyokma Nature Reserve, Yakutia. Water, 17(11), 1686. https://doi.org/10.3390/w17111686

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop