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Article

Charophytes (Charophyceae, Charales) of South Kazakhstan: Diversity, Distribution, and Tentative Red List

1
RSE on REM “Institute of Botany and Phytointroduction” FWLC MEGNR RK, 36 “D” Timiryazeva Str., Almaty 050040, Kazakhstan
2
Faculty of Biology and Biotechnology, Al-Farabi Kazakh National University, 71 Al-Farabi Ave., Almaty 050040, Kazakhstan
3
Institute of Evolution, University of Haifa, Abba Khoushi Ave, 199, Mount Carmel, Haifa 3498838, Israel
4
Komarov Botanical Institute of the Russian Academy of Sciences, Professora Popova Str. 2, 197376 St. Petersburg, Russia
5
Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences, Molodezhnaya Str. 1, 656038 Barnaul, Russia
6
Faculty Math and Science, Arkansas State University Beebe, 1000 W Iowa St., Beebe, AR 72012, USA
*
Author to whom correspondence should be addressed.
Plants 2023, 12(2), 368; https://doi.org/10.3390/plants12020368
Submission received: 19 November 2022 / Revised: 8 January 2023 / Accepted: 10 January 2023 / Published: 12 January 2023
(This article belongs to the Section Plant Ecology)

Abstract

:
The presented research was conducted during 2019–2022 in south and southeast Kazakhstan to document the species richness, distribution, and ecology of charophytes (Characeae) as a first step towards to estimate the need for species protection. Across the 54 sites, we found ten species and one variety. Chara vulgaris Linnaeus and C. contraria A.Braun ex Kützing were the most common species, followed by C. canescens Loiseleur, C. kirghisorum C. F. Lessing, C. tomentosa Linnaeus, C. dominii J. Vilhelm, C. globata W. Migula, Nitellopsis obtusa (Desvaux) J. Groves, and Nitella hyalina (De Candolle) C. Agardh. The list of localities for each species was compiled. The distribution of each taxon was mapped in relations to the ecoregions studied. The two most frequent species were found in a wide spectrum of ecoregions, whereas all other species occurred in only a few regions in Kazakhstan. The Kaskelen River Valley had the most sampled sites with the highest number of co-occurring species (up to five together). Statistical maps were plotted in attempt to outline key environmental variables explaining the distribution of each species. A comparison of species and environmental variables distribution maps lets us assume that C. vulgaris prefers low altitude habitats with higher water temperatures, organic enrichments, and color, but low oxygen and pH. Other species prefer clear, alkaline, organically unpolluted, and well-oxygenated waters in lowland habitats. The redundancy detrended analysis (RDA) defined pH and altitude as negative factors for Nitellopsis obtusa whereas an increase in water temperature was positive. Altitude and water temperatures affected Chara contraria positively while altitude negatively influenced the rare species: Chara tomentosa, C. kirghisorum, and C. dominii. The matK sequences were obtained for C. contraria and C. vulgaris to confirm their identity according to morphological traits and to compare populations of C. gymnophylla and C. vulgaris from an arid region in Israel. Our data allowed for the preparation of a tentative red list from the study region. One species was recognized as endangered, four species and one variety as vulnerable, and two species as least concern. There was insufficient data to determine the status of two species and one variety.

1. Introduction

Charophytes are members of the large phylum Charophyta [1] with six classes. Our study investigates the diversity from the family Characeae in the order Charales. This group is monophyletic [2] and consists of highly developed benthic macroalgae. Charales has received considerable taxonomic attention because they occupy an important place in the Tree of Life since the terrestrial plants originated from this group [3]. Charophytes are distributed throughout the world, except for Antarctica. They grow in freshwater lakes, streams, rivers, and wetlands. Some species are also found in brackish or saline waters [4].
Charophyte communities usually form monospecies mats or are found together with other macroalgae [5] and magnoliophytes. Frequently, charophytes are recognized as a pioneer species that colonize emerging or disturbed water bodies [6], but some of them are perennial winter green plants able to grow for an indefinite period in a stable environment. Chara and Nitella are widely distributed and relatively species-rich genera in comparison to the other genera of charophytes [7].
Species identification of Chara vulgaris and C. contraria by macro-features has long been a subject of debate among taxonomists. They have limited morphological characteristics, intermediate species, and an unclear degree of habitat or plant developmental pressure leading to morphological variability [7]. Both species are considered by most authors as separate Chara species, but at the same time, a high morphological similarity of both species is noted by R.D. Wood. He characterized C. contraria as a conspecific variety of C. vulgaris due to their similar morphologies [7]. They differ mainly in the structure of the cortex and the position of the spiny cells, while the cortex of C. vulgaris is defined as aulacanthous (secondary rows are more visible, spiny cells seem to be located in furrows), and C. contraria as tylacanthous (primary rows stand out, spine cells seem to sit on ridges). Both species are characterized as haplobiont, monoecious, reproducing predominantly by self-fertilization. Consequently, these species show extremely limited genetic variability compared to diploid forms. Experimental crosses between C. vulgaris and C. contraria have clearly shown that they are reproductively isolated [7]. Based on this evidence, molecular studies of the genome of both species have a critical role in taxonomic identification and help to determine the species-specific habitat parameters.
Charophyte diversity studies in Kazakhstan are centered in bodies of water in northern and southern territories, e.g., the deltas of the Ili, Syrdarya, and Amudarya rivers, southwest Siberian Plain, Saryarqa (Kazakh Upland), the Turgai depression, the lakes of Burabay National Park, and Lake Balkhash drainage basin [8]. There have only been a few studies and limited data from south, east, and west Kazakhstan. There have been only 28 species and three forms of charophytes, including 22 species and three forms of Chara, three species of Nitella, and one species of Lamprothamnium, Lychnothamnus, and Nitellopsis each found in previous studies in southern Kazakhstan [8,9,10,11,12,13,14,15,16,17,18,19,20,21]. The highest species richness (26 species and two forms) is concentrated in the lowlands of the Ili River drainage basin, especially the Ili River delta and water bodies neighboring Lake Balkhash. These recorded datasets are essential for the detection of the trends in occurrence and abundance of charophytes, but some of them are not precise enough for this estimation. There were 40 species and two forms of charophytes found in previous studies in Kazakhstan [8,22,23,24,25,26,27,28].
Recent studies have shown that water quality variables, such as temperature, pH, salinity, electrical conductivity, total dissolved solids, and nutrient saturation, affect charophyte spatial distribution, diversity, and ecology [29,30,31,32,33,34,35,36,37,38,39,40,41,42]. Nevertheless, the research on the effects of water quality on spatial distribution is yet to be undertaken in south and southeast Kazakhstan because these environmental relations might not be the same in different ecoregions, especially in the large arid regions from this study.
Human impact and management of water bodies resulting in significant environmental changes has led to a gradual decline in abundance, occurrence, and diversity of charophytes over the past decades throughout the regions [43,44,45,46,47,48]. As a result, some regional species have been recognized as endangered or even extinct and added to the Red List. Charophytes are one of the most sensitive and threatened plant groups [49,50,51,52]. The most severe threats to their survival would be expected in arid and semi-arid regions as a result of a combination of anthropogenic transformation in the environment and adverse climatic changes resulting in destruction and habitat loss. There has been a drastic decline in some species occurring in Lake Balkhash drainage basin below the Kapchagay Reservoir. This was observed during 1975–1978 because the Ili River discharge regulations changed, impacting the reservoir [53].
There are no species included in the national Red Data Book from Kazakhstan (https://www.inaturalist.org/projects/red-book-of-kazakhstan-plants, accessed on 20 May 2022). Therefore, we investigated the main threatened species during our study to identify charophyte diversity and species regional distribution. Since the two species of Characeae, C. vulgaris and C. contraria, are widespread and extremely similar in morphology, it was necessary to compare DNA sequences to determine speciation between the two species and subsequent comparison in the NCBI data.
In this investigation, we aimed to describe species of charophytes from the south and southeast Kazakhstan. We use ecomorphological and polyphasic approaches (i.e., genotypic, chemotaxonomic, and phenotypic methods) to determine the taxonomic position of organisms [54,55] and present the results on their diversity, ecology, relationship with the main environmental factors, and distribution as a first step towards their protection.

2. Results

2.1. Charophytes Diversity and Distribution

Altogether, there were 10 species and one variety of charophytes identified from 54 investigated regional sites (Appendix B). Taxon distributions were mapped in accordance to the ecoregion they were found (Figure 1a,b). From Figure A1, charophyte thickets usually formed far from the shoreline, apparently as a result of a significant fluctuation of the water levels in arid climates. Some sites were polluted which were confirmed by high BOD (Appendix A Table A1) which inhibits the formation of large mats of charophytes.
Chara vulgaris (26 sites) and C. contraria (20 sites) were widely distributed in the regions (Figure 1e,g). These two species were found in two regions: b, Central Asian riparian woodlands, and f, Tian Shan montane steppe and meadows. At the same time, C. canescens, C. kirghisorum, C. tomentosa, C. dominii, C. globata, and Nitellopsis obtusa were concentrated in the central Asian riparian woodland ecoregion (Figure 1d,f,h). Nitella hyalina was found in two closely related ecoregions in southeast Kazakhstan: central Asian riparian woodlands and Emin Valley Steppe (Figure 1d). Only one species Chara aspera and its variety subinermis is widely distributed across the studied territory (Figure 1c). Moreover, this variety was found separately from the variety only in the central Asian riparian woodland ecoregion. The site with the largest species richness was Kaskelen River pond 1, in which there were five species: Chara aspera, C. contraria, C. kirghisorum, C. vulgaris, and C. tomentosa. The Kaskelen River is not large and located on the flat landscape where it is dammed and divided into three water bodies in the river delta close to the Kapchagai Reservoir. These ponded areas of the river delta were rich in species, such as C. aspera, C. contraria, C. kirghisorum, C. tomentosa, C. dominii, C. globata, and C. vulgaris, with addition of C. vulgaris and C. contraria in the upper reaches of the Kaskelen River. Therefore, the Ili River basin was the richest area and had the largest diversity of charophytes from the studied regions.
Specimens collected, housed in the Institute of Botany and Phytointroduction in Almaty, are presented in Appendix B, along with morphological descriptions and distribution data regarding the studied areas and herbarium numbers.
Statistical maps were constructed for each identified species with known environmental variables (Appendix A Table A1 and Appendix A Table A2). Figure 2a demonstrates mapping method suitability for the distribution of environmental variables, i.e., Ketmen Ridge’s mountain elevations can be recognized in the southern Almaty Region. From the maps, water temperature was highest in the south and central parts of Ili River basin situated in the desert zone (Figure 2b), BOD and water Pt/Co color also increased to the south (Figure 2c,d), while oxygen saturation and pH decreased (Figure 2e,f).
Figure 1. Species distribution in context of elevation (a) and ecoregions (bh) in the regions studied: (a,b)—all species, (c)—Chara aspera, (d)—C. canescens (1), C. kirghisorum (2), C. tomentosa (3), Nitella hyalina (4), (e)—C. contraria, (f)—C. dominii (1), C. globata (2), (g)—C. vulgaris, (h)—Nitellopsis obtusa. Ecoregions [56]: A—Central Asian northern desert, B—Central Asian riparian woodlands, C—Emin Valley steppe, D—Alai-Western Tian Shan steppe, E—Gissaro-Alai open woodlands, F—Tian Shan montane steppe and meadows, G—Tian Shan montane conifer forests.
Figure 1. Species distribution in context of elevation (a) and ecoregions (bh) in the regions studied: (a,b)—all species, (c)—Chara aspera, (d)—C. canescens (1), C. kirghisorum (2), C. tomentosa (3), Nitella hyalina (4), (e)—C. contraria, (f)—C. dominii (1), C. globata (2), (g)—C. vulgaris, (h)—Nitellopsis obtusa. Ecoregions [56]: A—Central Asian northern desert, B—Central Asian riparian woodlands, C—Emin Valley steppe, D—Alai-Western Tian Shan steppe, E—Gissaro-Alai open woodlands, F—Tian Shan montane steppe and meadows, G—Tian Shan montane conifer forests.
Plants 12 00368 g001
Species distribution maps were used to visualize and demonstrate the tendencies of each species in the study. Chara aspera and C. tomentosa preferred north and east regional environments (Figure 3a,b), whereas C. dominii and C. globata were found across the Ili River basin (Figure 3c,d). The tendency of two similar species was very interesting. C. vulgaris and C. contraria tended to differ in dissimilar environmental conditions and geographic areas. C. vulgaris occupied southern water habitats (Figure 3e) while C. contraria preferred more northern habitats (Figure 3f). Their distributions seemed not to be linked, as if mutually exclusive, even though both species sometimes occupy some habitats together.
Statistical maps of other Chara species demonstrates a limited distribution for C. canescens and C. kirghisorum (Figure 4a,b). Nitella hyalina and Nitellopsis obtusa (Figure 4c,d) were found in a few occupied areas. Nitella hyalina has a unique distribution, whereas Nitellopsis obtusa’s distribution was similar to that of C. dominii.
Comparing the species and environmental variables distribution maps allowed us to presume that Chara vulgaris, the most distributed species in south and southeast Kazakhstan, preferred low altitude habitats with high water temperatures, organic enrichments (increased values of BOD), and color, but low oxygen and pH. Other species, e.g., C. aspera, C. tomentosa, C. dominii, Nitellopsis obtusa, and Nitella hyaline, preferred clear, alkaline, organically unpolluted, and well-oxygenated waters in lowland habitats.
To clarify the factors influencing the distribution of species in Kazakhstan, RDA analysis was carried out, as detailed in Appendix A Table A2. Average species richness was 11 species in 34 sites that are dependent on biological variables, whereas environmental variables of water and air temperature, pH, index of organic pollution S, and site altitude were independent variables.
There are species that are highly influenced by pH, temperature, and altitude, while organic pollution (Index S) is not an important factor for regulating species distributions (Figure 5). RDA shows that pH and altitude are negatively correlated to Nitellopsis obtusa’s distribution, but higher water temperatures are positively correlated. Increasing site altitude and water temperatures were positive influences for Chara contraria. At the same time, the habitat altitude is a negative factor for the rare species Chara tomentosa, C. kirghisorum, and C. dominii’s distributions. For the other species, the RDA does not indicate specific influencing factors.
Therefore, RDA helped to identify major environmental variables affecting each species, groups of species, and rare species’ preferences. The RDA results confirm the visualized distribution of species and environmental variable map comparisons, as well as provide some characteristics concerning the preferred environments of the rare species.
From the available data on the ecology of 38 species [57], it is known that they prefer waters slightly saturated with organic matter. They are more represented by indicators of oligosaprobic waters, where the saprobity index ranges from 0.8 to 1.3, and the trophic status has a wide amplitude from oligo- to eutrophic. Among the 11 species identified in Kazakhstan, only seven species are known to prefer organic pollution and trophic status. All preferred to exist in oligosaprobic communities with an index amplitude of 1.1–1.2 and a trophic status from oligo- to eutrophic waters. In our case, for the populations of the studied charophytes, the saprobity index varied in amplitude of 1.26–2.11, which shows adaptability to the more organically saturated waters in our study but from the same wide range of trophic status.

2.2. DNA Sequencing and Species Definition

DNA extractions taken from samples from the studied populations in Kazakhstan were compared to populations from Israel that had similar climates. DNA was isolated from two species (Chara vulgaris and C. contraria) from Kazakhstan and Israel. Thus, sequencing was carried out for the two most common species from climatically similar regions. In Table 1, environmental data for the DNA sequenced populations are presented for Chara species from two sites in south and southeast Kazakhstan and ten sites in Israel. For comparison with charophytes from Israel, we selected the C. vulgaris from seven habitats and the closely morphologically related C. gymnophylla A. Braun from three habitats, but C. contraria from this region has not yet been sequenced.
Figure 6 demonstrates high similarity of matK sequences of Chara vulgaris samples from the Kakpatas River (yellow) with other populations of C. vulgaris from NCBI. It confirms the identity of C. vulgaris according to morphological traits only from different habitats, which includes NCBI data in the tree that is very closely related to our data.
Figure 7 reflects a high similarity of matK sequences for Chara contraria samples from the Anniversary Lake (yellow) and populations from other regions according to NCBI data. These data confirm our identification of C. contraria based on morphological traits and sequencing data.
The phylogenetic tree presents a high similarity of matK sequences for Chara contraria, C. vulgaris, and C. gymnophylla samples from the south and southeast Kazakhstan and Israel sites in Figure 8. There are a few clusters with high similarity of sequences shown in Table 1. Most similar were populations of C. vulgaris from Mediterranean coastal zone with high salinity and pH (Table 1). C. vulgaris populations from Oren can be included in cluster 1 too. C. gymnophylla was a slightly different form from northern Israel (Dafna) that is in cluster 2. Cluster 3 combined C. vulgaris populations from Carmel Mountain Biosphere Reserve and Ein Afeq Natural Reserve, Israel and C. gymnophylla from the Upper Jordan River valley habitat Ein Tao. High mountain habitat Nevoria in northern Israel included C. gymnophylla in cluster 4. C. vulgaris from Kakpatas River in Kazakhstan and Ein El Verde from the mountainous region of northern Israel was grouped into cluster 5. The last, significantly different cluster 6 included only one population of C. contraria from the Lake Anniversary in Kazakhstan.
We analyzed the environmental variables and their importance to regulate the species into clusters but only found similar parameters for cluster 1. C. vulgaris species was found from coastal zone sites of Israel where salinity was highest (Table 1). All other sites differed in salinity, pH, nitrates, and altitude and did not correlate with the distribution of specific species of Chara. Previously, we analyzed the molecular differentiation between the C. vulgarisC. contraria complex and C. gymnophylla using the AFLP method in the habitats of Israel and found not only distinct species differentiation [58], but also that C. gymnophylla is more sensitive to arid environments, since it only occurs in northern Israel [40]. This allows us to assume that C. vulgaris and C. contraria demonstrated a tolerance for arid habitat conditions.

2.3. The Tentative Red List for Charophytes of South and Southeastern Kazakhstan

The thorough application of all IUCN Red List criteria is impossible due to a lack of essential data. From the available records, some species distributional, biological, and ecological traits were used to suggestion a tentative Red List for the species observed (see below).
  • Chara aspera var. aspera
Previous records: Lake Balkhash, including the canal from Chimpek Bay to Alakul Bay, near railway station of Akbalyk, 1968–1971 (as C. fischeri W.Migula, [8], Lake Balkhash drainage basin without exact localities, up to 1987 [15], shallows between the dam and the road in the vicinity of the Lake Sorbulak, 2002 [8], Lake Alakol: up to 2006 [18] and 2015–2017 [8].
Estimation of trends in abundance and occurrence: not possible due to an absence of details from previous records and a recent survey of formerly known sites. A drastic decline of species occurrence in Lake Balkhash drainage basin below the Kapchagay Reservoir was found during 1975–1978 because of Ili River discharge regulation into this reservoir [53].
Other evidence for evaluation of Red List Category: shallow water species able to withstand moderate eutrophication in brackish waters of subarid regions (R. Romanov, pers. observation).
General distribution: Holarctic.
IUCN Red List Category: VU.
2.
Chara aspera var. subinermis
Previous records: Lake Balkhash drainage basin without exact localities, up to 1987 as C. fischeri, [17].
Estimation of trends in abundance and occurrence: not possible due to an absence of details from previous records and recent survey of formerly known sites.
Other evidence for evaluation of Red List Category: shallow water species able to withstand moderate eutrophication in brackish waters of subarid regions (R. Romanov, pers. observation). C. aspera var. subinermis could be a common species in bays of the Lake Balkhash and neighboring water bodies. Actual scale of its distribution and threats in the regions studied cannot be estimated due to a lack of data.
General distribution: Palearctic.
IUCN Red List Category: DD (data deficient).
3.
Chara canescens
Previous records: Lake Balkhash, Alakul Bay, 1909 [11], lakes Kalgan and Abisk-Kul in Ili River delta, 1953–1964 [13], Lake Balkhash near railway station of Akbalyk, 1968–1971 [8], Lake Balkhash drainage basin without exact localities, up to 1987 [17], shallows between the dam and the road in the vicinity of the Lake Sorbulak, 2002 [8].
Estimation of trends in abundance and occurrence: not possible because an absence of details from previous records and recent survey of formerly known sites. C. canescens could be a common species in bays of the Lake Balkhash and neighboring water bodies with higher salinity. Actual scale of its distribution and threats in the regions studied cannot be estimated because of small amount of data.
Other evidence for evaluation of Red List Category: unknown.
General distribution: Holarctic, non-native in Australia.
IUCN Red List Category: DD.
4.
Chara contraria
Previous records: small lake in the vicinity of the village of Aksu of Almaty Oblast, 1928 [19,20], water body near road in the vicinity of the village of Kabanbay (formerly Andreevka), 1928 (var. hispidula A. Braun; [20,21], Lake Kalgan in Ili River delta, 1953–1964 [13], Lake Balkhash drainage basin without exact localities, up to 1987 [17], swamps in floodplain of the Charyn River in the vicinity of Sartogay relict ash grove, 2003–2005 [58], lower reaches of the Kurshilik (Kurshelek) River, 2003–2005 [59,60], lower reaches of rivers Charyn and Shilik, 2003–2005 [8], many sites in rivers Shar and Kokpekty, up to 2014 [61].
Estimation of trends in abundance and occurrence: not possible due to an absence of details from previous records and recent survey of formerly known sites.
Other evidence for evaluation of Red List Category: This is one of the most common, generalist species in many temperate regions [42].
General distribution: subcosmopolite.
IUCN Red List Category: LC.
5.
Chara dominii
Previous records: Lake Balkhash, shallows near Cape Sadyrbek, 1968–1971 [8], Kaskelen River, since 2000 [62], ponds near the settlement of Selektzii of Almaty Oblast, 2001 [8], lower reach of the Kurshilik River, 2003–2005 [59], lower reaches of rivers Charyn and Shilik, 2003–2005 [8], shallows of western part of the Lake Balkhash, 2009 [8].
Estimation of trends in abundance and occurrence: not possible due to an absence of details from previous records and recent survey of formerly known sites except the Kaskelen River where its populations are stable. C. dominii could be a common species in the bays of Lake Balkshash, Kapchagay Reservoir, and neighboring water bodies.
Other evidence for evaluation of Red List Category: The species had a scattered distribution in arid and semiarid regions of Eurasia [63] with most localities known from stable lakes. C. dominii seems to be able to form perennial stable stands in stable environments. This species is unable to grow in shallow waters (less than 0.5 m) and coarse substrates, which could explain its susceptibility to decrease water transparence as a consequence of eutrophication.
General distribution: Central Eurasia: Ukraine, Russia, Kazakhstan, Uzbekistan, Turkmenistan.
IUCN Red List Category: VU.
6.
Chara globata
Previous records: Lake Balkhash, water bodies of Ili River Delta, 1968–1971 (under erroneous spelling as C. globosa, [8,15], and Kapchagai Reservoir, 2016 [19].
Estimation of trends in abundance and occurrence: not possible due to an absence of details from previous records and recent survey of formerly known sites except the Kapchagay Reservoir where recent populations were found. C. globata could be a common species in bays of the Lake Balkhash, the Kapchagay Reservoir, and neighboring water bodies.
Other evidence for evaluation of Red List Category: The species has a scattered distribution in arid and semiarid regions of Eurasia and North Africa with most localities known from stable lakes [20,64]. C. globata seems to be able to form perennial stable stands in stable environment. Some localities in Middle East are lost [64]. This species is unable to grow in shallow waters (less than 0.5 m) and coarse substrates, which could explain its susceptibility to decrease water transparence as a consequence of eutrophication.
General distribution: arid and semiarid regions of Eurasia (Romania, Ukraine, Russia, Kazakhstan, Uzbekistan, Kyrgyzstan, Egypt (Sinai), Israel, Iran, China), North Africa (Tunisia, Egypt).
IUCN Red List Category: VU.
7.
Chara kirghisorum
Previous records: Lake Balkhash, shallows near Cape Sadyrbek and near railway station of Akbalyk, 1968–1971 [8], Lake Balkhash and neighboring water bodies, without exact localities, up to 1987 [17].
Estimation of trends in abundance and occurrence: not possible due to an absence of details from previous records and recent survey of formerly known sites.
Other evidence for evaluation of Red List Category: Globally, a rare species with limited distribution and few localities known.
General distribution: Central Eurasia: Russia, Kazakhstan, Uzbekistan, Iran, few localities in each region.
IUCN Red List Category: EN.
8.
Chara tomentosa Linnaeus
Previous records: Lake Obish-Kul in Ili River delta, 1953–1964 [13], Lake Balkhash, incl. the canal from Chimpek Bay to Alakul Bay, shallows near Cape Sadyrbek, eastern bay of Karakul Bay, Vostochny Chemyshkul Bay, 1968–1971 [8], Lake Balkhash and neighboring water bodies, without exact localities, up to 1987 [17].
Estimation of trends in abundance and occurrence: not possible due to an absence of details from previous records and recent survey of formerly known sites.
Other evidence for evaluation of Red List Category: This species seems to be able to form perennial stable stands in stable environment and in arid regions. C. tomentosa could be a common species in bays from Lake Balkshash, Kapchagay Reservoir, and neighboring water bodies. Actual scale of its distribution and threats in the regions cannot be estimated.
General distribution: Palearctic.
IUCN Red List Category: DD.
9.
Chara vulgaris
Previous records: Emil River in Almaty Oblast, 1842 [9], “Bunak”, 1908, and the stream of Kuchata, 1908, both in Turkestan Oblast (in former Shimkent Uezd, as C. foetida A.Braun [11], small lake in the vicinity of the village of Aksu (formerly Aksuyskoe) of Almaty Oblast, 1928 [20,21], Lake Balkhash and neighboring water bodies, without exact localities, up to 1987 [17], ponds near the settlement of Selektzii of Almaty Oblast, 2001 [8], shallows between the dam and the road in the vicinity of the Lake Sorbulak, 2002 [8], swamps in floodplain of the Charyn River in the vicinity of Sartogay relict ash grove, 2003–2005 [58,59], rivers Bolshaya Almatinka and Kaskelen, since 2000 [62], lower reach of the Kurshilik (Kurshelek) River, 2003–2005 [60], lower reaches of rivers Charyn and Shilik, 2003–2005 [8,18], many sites in rivers Shar and Kokpekty, up to 2014 [61], Lake Alakol, 2015–2017 [8], Kakpaktas River, 2015–2017 [65,66].
Estimation of trends in abundance and occurrence: not possible due to an absence of details from previous records and recent survey of formerly known sites.
Other evidence for evaluation of Red List Category: The most common species in Central Asia is able to grow in a wide spectrum of habitats including newly created and maintained for millennia for irrigation in the region studied [63]. This is one of the common, generalist species from many temperate regions [42].
General distribution: cosmopolite.
IUCN Red List Category: LC.
General distribution: cosmopolite.
10.
Nitella hyalina
Previous records: Ayaguz River, near mouth, 1890 [10], Lake Balkhash, without exact locality, 1953–1964 [11], Lake Balkhash and neighboring water bodies, without exact localities, up to 1987 [17], Lake Alakol: up to 2006 [18], and 2015–2017 [8].
Estimation of trends in abundance and occurrence: not possible due to an absence of details from previous records and recent survey of formerly known sites. Stable presence seems to be confirmed for Ili River delta and the Alakol Lake.
Other evidence for evaluation of Red List Category: All species of Nitella are really rare in Central Asia [63].
General distribution: cosmopolite, but really rare in many regions.
IUCN Red List Category: VU.
11.
Nitellopsis obtusa
Previous records: lakes Kara-Kultuk and Kara-Kul in low reach of Ili River, 1953–1964 [13], Lake Balkhash, incl. the canal from Chimpek Bay to Alakul Bay, Maytan Bay, 1968–1971 [8], Lake Balkhash and neighboring water bodies, without exact localities, up to 1987 [17], Lake Alakol, up to 2006 [18], ponds in the vicinity of the settlement of Mirnoe of Almaty Oblast, 2001 [8].
Estimation of trends in abundance and occurrence: not possible due to an absence of details from previous records and recent survey of formerly known sites. It was found from 1975–1978, but drastically declined in occurrence in the Lake Balkhash drainage basin below the Kapchagay Reservoir when the Ili River discharge regulation into this reservoir changed [53]. N. obtusa could be a common species in the Ili River delta lakes, neighboring bays of Lake Balkshash and the Kapchagay Reservoir.
Other evidence for evaluation of Red List Category: This species seems to be able to form perennial stable stands in stable environments and in arid regions. N. obtusa is unable to grow in shallow waters (less than 0.5 m) and coarse substrates, which could explain its susceptibility to decrease water transparence as a consequence of eutrophication [31,32].
General distribution: Palearctic, non-native in North America
IUCN Red List Category: VU.

3. Materials and Methods

3.1. Description of Study Site

Charophyte algae samples were collected during June-October of 2019–2022 from rivers, canals, ponds, and lakes from 3 regions (Turkestan I, Zhambyl II, and Almaty III administrative regions) (Figure 9). The surveyed localities are situated between 41.00′ to 46.40′ N and 68.12′ to 81.45′ E, at an elevation of 245–3629 m above sea level (a.s.l.) (Appendix A Table A1).
The climate varied across the study areas [67]. Going from the southwest to the northeast direction, the average annual temperature decreased (13.2 °C in the Turkestan Region to 11.2 °C in the Zhambyl Region [68] and then to 8.6 °C in the Almaty Region) [69], while annual precipitation increased from 502.4 mm to 511.83 mm.
The regions studied include the two largest basins: the Aral-Syrdarya Basin and the Balkhash-Alakol Basin [70]. The Syrdarya and Chu rivers flow into the Aral-Syrdarya Basin. The Syrdarya River belongs in the Turkestan Region, sites 1–4 (Appendix A Table A1). The Chu River is part of the Zhambyl Region, sites 5, 6, 8–12. Lake Mynaral, site 7, is in the south part of Zhambyl Region. The Balkhash-Alakol FEOW (Freshwater Ecoregions of the World) Basin includes the whole Ili River catchment basin. It belongs to the Almaty Region III. The studied sites are divided into three different parts of the Ili River catchment basin: 1. The first region before the Kapchagai Reservoir includes sites 42–51 and belongs to the mountainous area of the territory. 2. The second region contains sites studied from Ili River basin, including sites from the rivers Talgar (sites 35–40) and Kaskelen (sites 25–28, 30) as well as the Kapchagai Reservoir (sites 31–34). 3. The third region contains sites from the Ili River that start at site 29 after Kapchagai Reservoir dam and continue in the Lake Balkhash direction with sites in Arystan (sites 13–18), Zhidely (sites 19–22), and Bakanas (site 23) canals. There are two endorheic Lake Sorbulak (site 24) and Kurti River (site 41) belonging to the Almaty Region III. Lake Alakol (sites 52, 53, and 54) is in the eastern Almaty Region III and within a paleo-basin of Lake Balkhash, but currently there is not a connection between them.
Thus, we found that the studied habitats in the southern part of Kazakhstan are climatically like the semi-arid area of the eastern Mediterranean, and therefore our data on the environment and diversity of charophytes can be used to compare key species using methods applied for both regions.

3.2. Sampling and Laboratory Study

Temperature and pH were measured at the same time of sampling with a Waterproof Portable pH/Temperature meter HI991001 (HANNA instruments, USA) at Kazakhstan sites, and while in Israel conductivity and total dissolved solids (TDS) were measured with a HANNA HI 9813-0, and N-NO3 with a HANNA HI 93728 (HANNA Instruments, USA) with three repetitions. GPS coordinates for the sampling sites were obtained with a GARNMIN GISMAP 64. The air temperature was measured with a standard thermometer.
Dissolved oxygen, biological oxygen demand (BOD), and water color (Pt/Co scale) data were taken from the reference [8], and the monthly data from the Ministry of Ecology, Geology, and Natural Resources website of the Republic of Kazakhstan Department of Environmental Monitoring RSE “Kazhydromet”. The environmental data were defined according to [71]. The data from the documents cited in [8] were taken during the same month and year that charophytes were sampled.
Charophytes were collected in situ. Usually, charophyte mats were visible at a depth of 0–0.5 m. Each point where visible aggregations of charophytes were found was designated as a sampling point and GPS coordinates were recorded. Thus, several sampling points were established in some water bodies. Samples of charophytes were collected in a ten-meter radius from each sampling point by scrapping with anchor tugging and pulling by hands at a depth of 0–0.5 m in 5–10 samples. Samples were dried, transported to the laboratory, and labelled for permanent deposition in the Herbarium at the Institute of Botany and Phytointroduction (Kazakhstan) (label # AA 1-1 to AA 54-1). Samples were studied at the Institute of Botany and Phytointroduction, the Institute of Evolution, University of Haifa (Israel); and the Arkansas State University Beebe, Beebe in Arkansas (USA). The MBS-9 stereomicroscope (SCOPICA, Russian Federation), MicroOptix light microscope), and Leica DM2500 light microscope were used for species identification. The dimensions were taken with a microscopic eyepiece micrometer at 400–1000× magnification. The specimens were photographed with a modern Motic BA-400 microscope (Motic Asia, Hong Kong, China) and OMAX 9.0 MP USB Digital Camera. A thick layer of calcium carbonate did hamper a few of the morphological investigations by covering the plant. These specimens were treated with 4% acetic acid to dissolve the CaCO3.
The most relevant taxonomic reference books were used for identification of taxa [72,73,74,75]. Taxon names were checked according to the Algaebase.org website [1] for synonyms and updated.
The Ecoregions mapping program was used to create individual species distributions [56]. Statistica 12.0 was used to create maps that reflect the probability of mapped variable distribution over the lake surface according to parameter values, geospatial coordinates, and the environmental variables, which were partly measured by us and partly from reference [8] for each site [57].
Additionally, the saprobic index S was used, which describes the organic matter pollution and ecosystem state. Saprobity indices were obtained for each algal community as a function of the number of saprobic species and their relative abundances as described earlier [8]:
S = i = 1 n ( s i h i ) / i = 1 n ( h i )
where S is index of saprobity for algal community (unitless) according to Sládeček [76], s is species-specific saprobity index, and n is the cell density of each species (Appendix A Table A2).
The linear ordination method redundancy detrended analysis (RDA) was processed in CANOCO 4.5 program to determine the importance of main environmental factors to the species [77]. The analysis of environmental data was performed only for those 34 sites where complete environmental data were available. Species ecological preferences of studied charophytes were taken from reference [78].
The conservation status and rarity of species was assessed according to the IUCN (The International Union for Conservation of Nature) criteria [79] using the following scheme (Figure 10):
Species were assessed using five criteria [79] according to species distribution range, population size, and population change, in combination with extinction probability assessment. These criteria determined which category was most significant for each species.

3.2.1. DNA Barcoding

The purpose of the polyphasic approach [54,55] was to determine the species. The complete genomic DNA was extracted from dry material taken from herbarium specimens using the standard DNeasy Plant Mini Kit (Geneaid Biotech Ltd., New Taipei, Taiwan) according to the manufacturer’s instructions. Species sequences from the Kazakhstan populations were compared to populations in Israel that are from similar climates. This specimen choice was determined by the availability of samples and the laboratory, in which the study was conducted.
Amplification of the matK gene region was performed using 2× Taq Mix Red PCR MasterMix with advanced hot-start technology (PCR Biosystems Ltd., London, UK) using F-Chara (AGAATGAGCTTAAACAAGGAT) and R-Chara (ACGATTTGAACATCCACTATAATA) primers. For each PCR product, both strands were sequenced on an Applied Biosystems VeritiTM Thermal Cycler Genetic Analyzer (Applied Biosystems, CA, USA). PCR was performed with an initial two-minute denaturation step at 95 °C and one minute each for denaturation (95 °C), annealing (56 °C), and polymerization (72 °C) for 10 cycles, followed by one-minute denaturation (95 °C), annealing (52 °C), and polymerization (72 °C) for 25 cycles before the last elongation step (10 min). PCR products were visualized by 1.5% agarose gel electrophoresis with GelRed staining (GelRed® Nucleic Acid Gel Stain (Biotium, Fremont, CA, USA)) and UV illumination. PCR products were purified using the Wizard ® SV Gel and PCR Clean-up Systems (Promega, Promega Corporation, Madison, WA USA) kit.
Sequencing was performed using a 3730 DNA Analyzer (Applied Biosystems, Headquarters, Thermo Fisher Scientific, Waltham, MA, USA) with identical sequencing primers to those used for PCR reactions.

3.2.2. Phylogenetic Analysis

Sequences were analyzed and aligned using the BioEdit sequence alignment editor (version 7.2). The resulting sequences were corrected manually. For phylogenetic analysis, we used the matK kit containing 8 Chara vulgaris specimens (7 specimens from Israel and 1 specimen from Kazakhstan); 4 specimens of C. gymnophylla (A.Braun) A.Braun from Israel and 1 specimen of C. contraria from Kazakhstan. The datasets were analyzed using maximum likelihood (ML), maximum parsimony (MP), and distance (neighbor connection (NJ)) in MAFFT (version 7). Using the BLAST program, areas of similarity between the obtained nucleotide sequences were found and compared with the NCBI (National Center for Biological Information) sequence databases, and statistical significance was calculated. The UPGMA (unweighted pair group method with arithmetic) clustering method was used for phylogenetic tree construction.
Data concerning morphology, matK sequences, and environmental variables from a climatically similar region of Israel were used to confirm the identity Chara contraria, C. vulgaris, and C. gymnophylla.

4. Discussion

Ten charophyte species and one variety were confirmed from the regions studied. Some other species, namely Chara aculeolata Kütz. in Rchb. (as C. polyacantha A.Braun ex A.Braun, Rabenh. & Stizenb.), C. altaica (as C. sibirica W.Migula), C. baltica (Hartman) Bruzelius, C. connivens Salzm. ex A.Braun, C. canescentiformis Hollerbach (as C. crinitoides Hollerbach), C. fragifera, C. galioides, C. globularis Thuill. (as C. fragilis Desv.), C. gymnophylla, C. hispida L., C. papillosa Kütz. (as C. intermedia A. Braun ex A. Braun, Rabenh. & Stizenb.), C. neglecta Hollerbach, C. schaffneri A.Braun, C. strigosa A.Braun, C. uzbekistanica Hollerbach, Nitella confervacea (Bréb.) A.Braun ex Leonh., N. tenuissima (Desv.) Kütz., Lychnothamnus barbatus (Meyen) Leonh., Lamprothamnium papulosum (Wallr.) J. Groves were reported from this area too [7,10,13,14,15,16,17,18,19,20,23,53] but not identified during our study. Most of their records are known from the delta of the Ili River without any environmental or location details in many cases [17,53].
The charophyte abundance across the study region was not totally confirmed during our survey because previous known sites were not rechecked. At least four of them, C. globularis, C. gymnophylla, C. papillosa (as C. aculeolata sensu Hollerbach et Krassavina), and N. tenuissima, were found in previous studies by the authors [8,61,65]. Lychnothamnus barbatus was confirmed with the specimen studied [20]. In addition, C. globata was found in the Kapchagay Reservoir [19]. Some published species records can be misidentified [8,23] (cf. Jumakhanova et al., 2021 [23] and this work). The presence of C. aculeolata, C. baltica, C. fragifera, C. galioides, C. hispida, C. schaffneri, C. strigosa, and N. confervacea is questionable from the perspective of species distribution and ecology [7,80,81,82], and Romanov (personal communication) needs confirmation. Therefore, actual species richness before our studies could be greatly overestimated because of some misidentifications. Nevertheless, the negative trends in species richness and distribution of charophytes were noted before our studies [8,53].
A pattern was observed in that surveyed sites were inhabited by more than one species of Chara and only a few sites in Israel had two and more species in the same site. In our previous study, Chara vulgaris and C. contraria were shown to be distinguishable by their genome structure, whereas their morphological identification is hindered by the similarity and uncertainty of most morphological features [83]. The revealed relationship between the genome sequence and the habitat characteristics in semi-arid regions in the Israel is an example which suggests that adaptive genetic divergence in charophytes is associated with the intensity of sunlight, water level, and pH, and consequently with climatic differentiation and local environmental stresses. This plays a critical role in shaping modern charophyte diversity. Maps in Figure 3e,f demonstrate strictly the differences of both species’ distribution where Chara vulgaris preferred southern localities but C. contraria is distributed in northern sites, confirmed by RDA. As known, charophytes are usually closed to new migration, especially when an existing population becomes established in one habitat and invasive oospores compete with natives [84]. Previously, we hypothesized that site ecology is the main limiting factor for oospore establishment in a new site, meaning that gene flow is more likely to occur in sites with similar environments [83]. The discussion about the ecological preferences of these two morphologically similar species usually did not include the impact of UV radiation as a regulatory factor, but this was suggested with our observations in Israel [85]. This gives more evidence and emphasizes the importance of studying the distribution of charophytes in Kazakhstan, to have a reliable identification of both species, which is possible only with the involvement of molecular methods. In Figure 3e,f, C. vulgaris prefers southern sites while C. contraria inhabited a more northernly, less insolated sites. Therefore, the differences in distribution for these critical species are defined and confirmed by its genome sequencing and confirms the importance of species ecology. This lets us assume that the conditions for the growth of charophytes in Kazakhstan might be more favorable than for charophytes in Israel, where insolation and hydrology could regulate diversity in water bodies more strictly [83]. The cohabitation of several species of charophytes indicates a long-term non-disturbance of habitat and the fact that at least two species find it suitable, i.e., they can be excluded from the IUCN Threatened List [79]. In those cases, where only one species was found, its habitat could be severely impacted. Regarding the management of water bodies to prevent eutrophication to maintain stable charophyte stands, excessive water abstraction, salinization, and alteration of the hydrological regime as a consequence of river discharge regulation seem to be the most important threats to charophytes in the region studied. Further studies need to be conducted to evaluate the present and future stability of the ecoregions.
As a result of this study, it was possible to identify 10 species and one variety of charophyte in the studied region. As 54 sites were examined, 30 of these charophytes were found for the first time. The study of their ecology and distribution made it possible to characterize the identified species according to IUCN categories as one endangered species (C. kirghisorum) from a pond on the Kaskelen River, five species of the vulnerable category, and for the rest there were not enough data to determine the category.

Author Contributions

Conceptualization, E.S., S.B. and R.R.; methodology, S.B. and R.R.; software, S.B.; validation E.S., G.J., S.B., R.R., T.E.S. and S.N.; formal analysis, G.J., S.N., S.B., A.J. and T.E.S.; investigation, E.S., G.J., S.N., S.S. and A.J.; data curation, G.J., S.N., S.B., A.J. and T.E.S.; writing—original draft preparation, G.J., S.S., S.B. and R.R.; writing—review and editing, E.S., G.J., S.N., S.B., R.R., A.J., S.S. and T.E.S.; visualization, S.B.; funding acquisition, E.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Individual registration number BR10264557 scientific and technical program: “Current flora and plant resources ecological state cadastral assessing (Almaty region) as the scientific basis for effective resource potential management”.

Institutional Review Board Statement

The study was approved by the Institutional Review Board (or Ethics Committee) of RSE on REM “Institute of Botany and Phytointroduction” FWLC MEGNR RK (Protocol No. 3 of 11 March 2022)”.

Data Availability Statement

Not applicable.

Acknowledgments

We express our gratitude to the General Director Gulnara Sitpayeva (Sitpayeva Gulnara, ORCID ID 0000-0003-4614-6155, Scopus Author ID: 11141957300, 56910146600) and Program Manager Liliya Dimeyeva (Dimeyeva L. ORCID ID 0000-0002-9101-0460, Scopus Author ID 55789522700), mycological laboratories and algologists in support of charophyte research in the region. This work was partly supported by Minobrnauki of Russia in framework of agreement No. 075-15-2021-1056, 28 September 2021, for charophyte identification, partly by the Russian Foundation for Basic Research, project No. 20-04-00280, partly by the project “Flora and taxonomy of algae, lichens and bryophytes in Russia and phytogeographically important regions of the world”, No. 121021600184-6, of the Komarov Botanical Institute of the Russian Academy of Sciences and the project No. 121031200178-8 of the Institute for Water and Environmental Problems of the Siberian Branch of the Russian Academy of Sciences for conceptualization and discussion of results. Material collection in Israel was supported by the Israel Taxonomy Initiative and with permission from the Israel Nature and National Parks Protection Authority. We are thankful to the Israel Ministry of Aliyah and Integration that partly supported this work as well as to Assaf Distelfeld, Tamar Krugman, and Tzion Fahima for the laboratory equipment access, and Vitaly Portnoy, and Elena Chiernyavsky for technical support, anonymous reviewers for helpful suggestions.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Investigated sites coordinates and known environmental variables [8] of aquatic habitats in south and southeast Kazakhstan, 2019–2022. “*”, first investigated sites; “-“, no data. The environmental data is presented only for those 34 sites where complete environmental data were available.
Table A1. Investigated sites coordinates and known environmental variables [8] of aquatic habitats in south and southeast Kazakhstan, 2019–2022. “*”, first investigated sites; “-“, no data. The environmental data is presented only for those 34 sites where complete environmental data were available.
SiteName of SiteNorthEastPt/Co, grad.DO, mg L−1BOD, mg O2 L−1
1*Canal Dostyk41°00′31.80″68°12′40.43″---
2Syrdarya River41°02′16.79″68°30′49.94″---
3Karatausky nature reserve Kizhi, Karakuz spring43°51′07.48″68°32′14.65″---
4*Sharbulak River41°46′19″69°24′10″---
5*Theris River42°39′59″70°48′05″---
6*Merki River42°54′11.09″73°09′51.17″---
7Lake Mynaral45°24′49″73°40′51″---
8*Karabalta River43°12′1″74°0′36″---
9Aksu River43°11′53″74°3′48″12.511.856.76
10Chu River43°16′05″74°12′13″1010.53.85
11Kakpatas River43°21′13″74°24′48″---
12*Dam Copa43°21′13″74°28′45″---
13*Ili River, Canal Arystan 145°32′8″74°52′10″5.511.850.87
14*Ili River, Canal Arystan 245°32′2″74°52′11″5.511.850.87
15*Ili River, Canal Arystan 345°32′13″74°52′24″5.511.850.87
16*Ili River, Canal Arystan 445°32′29″74°52′42″5.511.850.87
17*Ili River, Canal Arystan 545°32′34″74°52′43″5.511.850.87
18*Ili River, Canal Arystan 645°32′30″74°52′44″5.511.850.87
19*Ili River, Canal Zhidely 145°33′11″74°53′36″5.511.850.87
20*Ili River, Canal Zhidely 245°33′0″74°53′42″5.511.850.87
21*Ili River, Canal Zhidely 345°32′59″74°53′43″5.511.850.87
22*Ili River, Canal Zhidely 445°33′9″74°53′46″5.511.850.87
23*Canal Bakanas44°52′50.37″76°10′13.98″---
24Lake Sorbulak43°38′01″76°36′29″---
25Lake Anniversary (Yubelejnoye)43°20′31″76°42ʹ02″---
26*Kaskelen River pond 143°46′27″77°4′53″---
27*Kaskelen River pond 243°46′20″77°5′21″---
28*Kaskelen River pond 343°46′22″77°5′35″---
29Dam Ili-Kapchagai43°55′7.49″77°5′49.31″---
30Kaskelen River43°47′3″77°7′47″---
31Kapchagai-Reservoir 143°48′04″77°07′48″---
32Kapchagai-Reservoir 243°48′04″77°07′49″---
33Kapchagai-Reservoir 343°48′04″77°07′50″---
34Kapchagai-Reservoir 443°48′04″77°07′51″---
35*Talgar River43°41′50″77°15′25″---
36Ostemir pond 143°38′52″77°15′48″---
37Ostemir pond 243°38′52″77°15′49″---
38Ostemir pond 343°37′44″E77°16ʹ09″---
39Ostemir pond 443°37′36″E77°16′11″---
40Ostemir pond 543°37′23″77°15′59″---
41*Kurti River43°44′20″76°23′54″---
42*Lake Kaiyndy42°59′05.58″78°27′54.79″---
43*Karkara River42°50′57.64″79°13′57.98″612.151.43
44*Kegen River43°00′27.64″79°15′13.23″---
45*Mynzhylky River42°44′15.8″79°16′53.7″---
46*Sartasu River42°37′14.49”79°19′18.61”---
47Charyn River43°52′49.40″79°27′13.56″---
48*Tentek River42°46′35.14″79°40′20.36″---
49*Ulken-Kokpak River42°36′06.68″79°50′42.41″0-0.65
50*Tekes River42°50′37.1″80°03′07.5″611.350.85
51*Narynkol River42°42′14.45″82°10′14.80″---
52Lake Alakol 146°01′57.58″81°22′02.31″---
53Lake Alakol 245°59′21.36″81°29′44.16″---
54Lake Alakol 345°55′48.78″81°35′58.31″---
Table A2. Data for species, average species richness in community [8], environmental variables of water and air in studied sites of south and southeast Kazakhstan, 2019–2022. Abbreviations: aspera—Chara aspera var. aspera, aspsub—C. aspera var. subinermis, canesc—C. canescens, contrar—C. contraria, domini—C. dominii, globat—C. globata, kirghis—C. kirghisorum, vulgar—C. vulgaris, toment—C. tomentosa, Nhyali—Nitella hyalina, Nobtus—Nitellopsis obtusa, No Sp.—species number of microalgae in community. The environmental data were performed only for those 34 sites where complete environmental data were available.
Table A2. Data for species, average species richness in community [8], environmental variables of water and air in studied sites of south and southeast Kazakhstan, 2019–2022. Abbreviations: aspera—Chara aspera var. aspera, aspsub—C. aspera var. subinermis, canesc—C. canescens, contrar—C. contraria, domini—C. dominii, globat—C. globata, kirghis—C. kirghisorum, vulgar—C. vulgaris, toment—C. tomentosa, Nhyali—Nitella hyalina, Nobtus—Nitellopsis obtusa, No Sp.—species number of microalgae in community. The environmental data were performed only for those 34 sites where complete environmental data were available.
Site No.No Sp.AsperaAspsubCanescContrarDominiGlobatKirghisVulgarTomentNhyaliNobtusAir TAlt.Water TpHIndex S
4350000000100035.065027.07.52.07
5210001000000031.095328.07.81.91
10270001000100031.053330.07.71.85
11460001000100031.056132.07.51.87
13200000100000130.064123.07.41.72
14200000000000129.034123.07.61.72
15200000000000131.034122.07.61.72
16200000100000032.034122.07.61.72
17200000100000137.034122.07.61.72
18200000000000137.034122.07.61.72
19320001000000027.034122.07.62.11
20320000000100029.034124.07.62.11
21320000100000030.034126.07.62.11
22320000100000026.034123.07.62.11
23400001000001031.038924.07.61.61
24120110000100015.561810.07.82.00
25250001010100030.069635.07.51.73
26371001001110010.04887.08.01.59
27370000110000010.04888.08.01.59
28370000010100010.04888.08.01.59
29310000110000010.04758.08.11.96
31310001000000010.04778.08.11.96
32310000010000010.04778.08.11.96
33310000000100010.04778.08.11.96
34310000010000010.04788.08.11.96
4316000001000002.520624.57.91.73
49450001000000020.0183622.07.51.26
50360001000100020.0176622.07.51.72
52101000000000025.035122.58.61.74
53100000000100025.036322.58.61.74
54100000000001025.035222.58.61.74

Appendix B

Descriptions of the species based on their morphology, with distribution data in the studied areas and herbarium numbers of the Institute of Botany and Phytointroduction in Almaty.
Figure A1. Sites view of investigated points in south and southeast Kazakhstan which are harboring charophyte populations, 2019–2022: the Karabalta River, Chara vulgaris (a); the Kaskelen River pond 1, C. kirghisorum (b); the Ostemir pond, C. globata (c); the Canal Arystan of the Ili River, C. dominii, Nitellopsis obtusa (d); the Ili River, Canal Zhidely, C. contraria, C. dominii, C. vulgaris (e); the Ulken-Kokpak River, C. contraria (f).
Figure A1. Sites view of investigated points in south and southeast Kazakhstan which are harboring charophyte populations, 2019–2022: the Karabalta River, Chara vulgaris (a); the Kaskelen River pond 1, C. kirghisorum (b); the Ostemir pond, C. globata (c); the Canal Arystan of the Ili River, C. dominii, Nitellopsis obtusa (d); the Ili River, Canal Zhidely, C. contraria, C. dominii, C. vulgaris (e); the Ulken-Kokpak River, C. contraria (f).
Plants 12 00368 g0a1
1.
Chara aspera Willdenow var. aspera
Description: The plants are dioecious with triplostichous, isostichous to tylacanthous, stem cortex, solitary acute spine cells, acuminate stipulodes in 2 well developed rows, solitary gametangia (Figure A2b).
Specimens: Canal Dostyk (AA 1-1); Syrdarya River (AA 2-1); Kaskelen River pond 1 (AA 26-1); Lake Alakol 1 (AA 52-1); June, August, and October (Figure 1c).
Habitat: both fresh and brackish waters; 4 sites; lakes, large ponds, canals, and rivers.
2.
Chara aspera var. subinermis Kützing
Description: differs from var. aspera with very short spine cells and bracts (Figure A2a).
Specimens: Lake Sorbulak (AA 24-1); Lake Alakol; September (Figure 1c).
Habitat: 2 sites; large lake and water reservoir.
Figure A2. Chara aspera (a,b), C. canescens (c,d), C. kirghisorum (e), Nitella hyalina (f): (a)—upper part of male plant of C. aspera var. subinermis from Lake Alakol, arrowheads—antheridia, (b)—branchlet whorl of female plant from Lake Alakol, arrowhead—oogonium, (c,d)—female plants from Lake Sorbulak: (c)—whorl of branchlets, arrowhead—oogonium, (d)—base of branchlets with well-developed posterior bract cell (arrowhead) and densely spiny stem, (e)—parts of plants with typical short branchlets (arrowheads) from a pond at Kaskelen River, (f)—whorl of heteromorphic branchlets, main (arrowhead) and accessory (double arrowheads) of plant from the Canal Bakanas, mucilage embedding most part of branchlets and stem and calcite crystals at its surface are visible. Scale: 1 mm. Photos (ae) by S.S. Barinova, (f)—by G. Jumakhanova.
Figure A2. Chara aspera (a,b), C. canescens (c,d), C. kirghisorum (e), Nitella hyalina (f): (a)—upper part of male plant of C. aspera var. subinermis from Lake Alakol, arrowheads—antheridia, (b)—branchlet whorl of female plant from Lake Alakol, arrowhead—oogonium, (c,d)—female plants from Lake Sorbulak: (c)—whorl of branchlets, arrowhead—oogonium, (d)—base of branchlets with well-developed posterior bract cell (arrowhead) and densely spiny stem, (e)—parts of plants with typical short branchlets (arrowheads) from a pond at Kaskelen River, (f)—whorl of heteromorphic branchlets, main (arrowhead) and accessory (double arrowheads) of plant from the Canal Bakanas, mucilage embedding most part of branchlets and stem and calcite crystals at its surface are visible. Scale: 1 mm. Photos (ae) by S.S. Barinova, (f)—by G. Jumakhanova.
Plants 12 00368 g0a2
3.
Chara canescens Loiseleur
Description: The plants are dioecious (only female ones) with haplostichous stem cortex, appearing spiny because of clustered well developed acute spine cells, acuminate stipulodes in 2 well developed rows, verticillate bract cells (Figure A2c,d).
Specimens: Lake Sorbulak (AA 24-2); September (Figure 1d).
Habitat: only in brackish shallow waters; 1 site; water reservoir.
4.
Chara contraria A. Braun ex Kützing
Description: The plants are monoecious with diplostichous tylacanthous stem, solitary spine cells, diplostephanous stipulodes of moderate length, variable length of end nodeless ecorticate part of branchlet, 1/5-1/3 of total branchlet length, variable length of anterior bract cells, slightly longer of oogonium up to 4 times longer, conjoined gametangia between corticated segments, (Figure A3a–c).
Specimens: Theris River (AA 5-1); Aksu river (AA 9-2); Chu River (AA 10-2); Kakpatas River (AA 11-2); Dam Copa (AA 12-1); Ili River. Canal Zhidely 1 (AA 19-1); Canal Bakanas (AA 23-1); Lake Anniversary (AA 25-1); Kaskelen River pond 1 (AA 26-3); Kaskelen River (AA 30-2); Kapchagai Reservoir (AA 31-1); Talgar River (AA 35-1); Ostemir pond 2 (AA 37-2); Ostemir pond 3 (AA 39-1); Lake Kaiyndy (AA 42-1); Lake Kaiyndy (AA 42-2); Charyn River (47-2); Ulken-Kаkpak River (AA 49-1); Tekes River (AA 50-2); Narynkol River (AA 51-2); June, July, August, September and October; one of the most common species in the region studied (Figure 1e).
Habitat: 20 sites; canals, water reservoirs, lakes, ponds, rivers.
Figure A3. Chara contraria (ac), C. dominii (df): (a)—upper part of a plant with clearly tylacanthous stem cortex and branchlets with ecorticate nodeless part (arrowheads) slightly shorter of corticated differentiated branchlet part with posterior bract cells up to 3.5 (4) longer of oogonium, Kapchagay Reservoir, (b)—upper part of a plant with branchlets with ecorticate nodeless part (arrowheads) 3-times longer of corticated differentiated branchlet part, Lake Anniversary, (c)—base of branchlets with posterior bract cells more or less equal to slightly longer of oogonium, clearly tylacanthous stem cortex with solitary papillose spine cells (arrowhead), Canal Bakanas, (d)—general habit, Canal Arystan, (e)—upper part of plants with long squarrose verticillate bract cells, elongated acute stipulodes, tylacanthous stem cortex with short acute mainly solitary spine cells (arrowhead), Canal Arystan, (f)—cross-section of stems shoving nearly isostichous stem cortex, Canal Arystan. All photos by G. Jumakhanova.
Figure A3. Chara contraria (ac), C. dominii (df): (a)—upper part of a plant with clearly tylacanthous stem cortex and branchlets with ecorticate nodeless part (arrowheads) slightly shorter of corticated differentiated branchlet part with posterior bract cells up to 3.5 (4) longer of oogonium, Kapchagay Reservoir, (b)—upper part of a plant with branchlets with ecorticate nodeless part (arrowheads) 3-times longer of corticated differentiated branchlet part, Lake Anniversary, (c)—base of branchlets with posterior bract cells more or less equal to slightly longer of oogonium, clearly tylacanthous stem cortex with solitary papillose spine cells (arrowhead), Canal Bakanas, (d)—general habit, Canal Arystan, (e)—upper part of plants with long squarrose verticillate bract cells, elongated acute stipulodes, tylacanthous stem cortex with short acute mainly solitary spine cells (arrowhead), Canal Arystan, (f)—cross-section of stems shoving nearly isostichous stem cortex, Canal Arystan. All photos by G. Jumakhanova.
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5.
Chara dominii J. Vilhelm
Description: The plants are monoecious, coarse texture, with diplostephanous tylacanthous to isostichous stem cortex, mainly solitary rarely geminate spine cells shorter or comparable with stem diameter, acute diplostephanous stipulodes, verticillate well developed bract cells, conjoined gametangia (Figure A3d–f).
Specimens: “Ili River. Canal Arystan 1” (AA 13-1); Ili River. Canal Arystan 4 (AA 16-1); Ili River. Canal Arystan 5 (AA 17-1); “Ili River. Canal Zhidely 3” (AA 21-1); Ili River. Canal Zhidely 4 (AA 22-1); Kaskelen River pond 2 (AA 27-1); Dam Ili-Kapchagai (AA 29-1); June, August, and October (Figure 1f).
Habitats: 7 sites; large canals, water reservoirs, ponds.
6.
Chara globata W. Migula
Description: coarse texture, with diplostephanous tylacanthous to isostichous stem cortex, solitary spine cells shorter or comparable with stem diameter, acute diplostephanous stipulodes, verticillate well developed bract cells, conjoined gametangia (Figure A4a–c).
Specimens: Lake Anniversary (AA 25-3); Kaskelen River pond 2 (AA 27-2); Kaskelen River pond 3 (AA 28-2); Dam Ili-Kapchagai (AA 29-2); Kapchagai Reservoir (AA 32-1); Kapchagai Reservoir (AA 34-1); Ostemir pond 5 (AA 38-2); Ostemir pond 4 (AA 40-1); June, July, and October (Figure 1f).
Habitat: 8 sites; large canals, water reservoirs, ponds.
Figure A4. Chara globata (ac), C. tomentosa (df): (a)—upper part of plants with typical branchlets completely differentiated with long squarrose verticillate bract cells, Lake Anniversery, (b)—base of branchlet whorl with elongate acute stipulodes (arrowhead), tylacanthous stem cortex with short spine cells, short extrastipulode is visible in upper row (double arrowhead), Kapchagay Reservoir, (c)—parts of branchlets with long verticillate bract cells and oogonia with ripe oospores, Lake Mynaral, (d)—base of branchlet whorl with typical inflated stipulodes (arrowhead), branchlets with typical inflated bract cells (double arrowhead), Lake Mynaral, (e)—stem with inflated spine cells (arrowhead), (f)—branchlets with inflated penultimate cell (arrowhead), Lake Mynaral. Scale: 1 mm. Photos a, (b)—by G. Jumakhanova, (cf)—by S.S. Barinova.
Figure A4. Chara globata (ac), C. tomentosa (df): (a)—upper part of plants with typical branchlets completely differentiated with long squarrose verticillate bract cells, Lake Anniversery, (b)—base of branchlet whorl with elongate acute stipulodes (arrowhead), tylacanthous stem cortex with short spine cells, short extrastipulode is visible in upper row (double arrowhead), Kapchagay Reservoir, (c)—parts of branchlets with long verticillate bract cells and oogonia with ripe oospores, Lake Mynaral, (d)—base of branchlet whorl with typical inflated stipulodes (arrowhead), branchlets with typical inflated bract cells (double arrowhead), Lake Mynaral, (e)—stem with inflated spine cells (arrowhead), (f)—branchlets with inflated penultimate cell (arrowhead), Lake Mynaral. Scale: 1 mm. Photos a, (b)—by G. Jumakhanova, (cf)—by S.S. Barinova.
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7.
Chara kirghisorum C. F. Lessing
Description: The plants are dioecious, rarely branching, with tylacanthous diplostichous stem cortex, short solitary spine cells, short diplostephanous stipulodes, very short branchlets several times shorter of internodes (Figure A2e).
Specimens: Kaskelen River pond 1 (AA 26-4); October (Figure 1d).
Habitat: 1 site; pond.
8.
Chara tomentosa Linnaeus
Description: The plants are dioecious, coarse texture, with strongly tylacanthous diplostichous stem cortex, solitary and geminate inflated short spine cells, inflated bract cells, and penultimate cells of branchlets (Figure A4d–f).
Specimens: Lake Mynaral (AA 7-1); Kaskelen River pond 1 (AA 26-5); August, October (Figure 1d).
Habitat: 2 sites; lake, river.
9.
Chara vulgaris Linnaeus
Description: The plants are monoecious, with aulacanthous diplostichous stem cortex, short solitary adpressed spine cells, short obtuse diplostephanous stipulodes, long anterior bract cells several times longer of oogonium, gametangia between corticated segments or at their top (Figure A5a–c).
Specimens: Canal Dostyk (AA 1-1); Syrdarya River (AA 2-2); Karatau nature reserve, gorge Kizhi, spring Karakuz (AA 3-1); Sharbulak River (AA 4-1); Merki River (AA 6-1); Karabalta River (AA 8-1); Aksu river (AA 9-2); Chu River (AA 10-1); Kakpatas River (AA 11-1); Ili River. Canal Zhidely 2 (AA 20-1); Lake Sorbulak (AA 24-3); Lake Anniversery (AA 25-2); Kaskelen River pond 1 (AA 26-2); Kaskelen River pond 3 (AA 28-1); Kaskelen River (AA 30-1); Kapchagai Reservoir (AA 33-1); Kurti River (AA 41-1); Karkara River (AA 43-1); Kegen River (AA 44 -1); Mynzhylky River (AA 45-1); Sartasu River (AA 46-1); Charyn River (AA 47-1); Tentek River (AA 48-1); Tekes River (AA 50-1); Narynkol River (AA 51-1); Lake Alakol 2 (AA 53-1); June, July, August, September and October; most common species in the region studied (Figure 1g).
Habitat: 26 sites; canals, rivers, lakes, ponds, springs.
Figure A5. Chara vulgaris (ac), Nitellopsis obtusa (df): (a)—base of branchlet whorl with typical short obtuse stipulodes (arrowhead), Kapchagay Reservoir, (b)—branchlet nodes with conjoined gametangia and aulacanthous stem cortex (arrowhead), Kapchagay Reservoir, (c)—aulacanthous stem cortex with adpressed short solitary spine cells (arrowheads), Sharyn River, (d)—nodal bulbil (arrowhead), Ostemir pond, (e)—fertile nodes with oogonia (arrowheads), Canal Arystan, (f)—fertile nodes with antheridia (arrowheads), Arystan channel. Scale: 1 mm, both for (c,d). Photos (a,b,e,f)—by G. Jumakhanova, (c,d)—by S.S. Barinova.
Figure A5. Chara vulgaris (ac), Nitellopsis obtusa (df): (a)—base of branchlet whorl with typical short obtuse stipulodes (arrowhead), Kapchagay Reservoir, (b)—branchlet nodes with conjoined gametangia and aulacanthous stem cortex (arrowhead), Kapchagay Reservoir, (c)—aulacanthous stem cortex with adpressed short solitary spine cells (arrowheads), Sharyn River, (d)—nodal bulbil (arrowhead), Ostemir pond, (e)—fertile nodes with oogonia (arrowheads), Canal Arystan, (f)—fertile nodes with antheridia (arrowheads), Arystan channel. Scale: 1 mm, both for (c,d). Photos (a,b,e,f)—by G. Jumakhanova, (c,d)—by S.S. Barinova.
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10.
Nitella hyalina (De Candolle) C. Agardh
Description: The plants are monoecious, moniliform appearance, with upper parts embedded in mucilage, dimorphic branchlets and conjoined gametangia (Figure A2f).
Specimens: Canal Bakanas (AA 23-2), Lake Alakol 3 (AA 54-1); August (Figure 1d).
Habitat: 2 sites; canal, lakes.
11.
Nitellopsis obtusa (Desvaux) J. Groves
Description: The plants are dioecious, with white star shaped nodal bulbils, ripe gametangia (Figure A5d–f).
Specimens: Ili River. Canal Arystan 1 (AA 13-2); Ili River. Canal Arystan 2 (AA 14-1); Ili River. Canal Arystan 3 (AA 15-1); Ili River. Canal Arystan 5 (AA 17-2); Ili River. Canal Arystan 6 (AA 18-1); Ostemir pond 1 (AA 36-1); Ostemir pond 2 (AA 37-1); Ostemir pond 5 (AA 38-1); August, October (Figure 1h).
Habitat: 8 sites; large canals, ponds.

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Figure 2. Statistical maps for environmental variables distribution on the studied area of south and southeast Kazakhstan in 2019–2022. Altitude (a); Water temperature (b); BOD (c); Pt/Co color (d); oxygen (e); pH (f). The legend key shows the variable value range.
Figure 2. Statistical maps for environmental variables distribution on the studied area of south and southeast Kazakhstan in 2019–2022. Altitude (a); Water temperature (b); BOD (c); Pt/Co color (d); oxygen (e); pH (f). The legend key shows the variable value range.
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Figure 3. Statistical maps for Chara species distribution on the studied area of south and southeast Kazakhstan in 2019–2022. Chara aspera (a); Chara tomentosa (b); Chara domini (c); Chara globata (d); Chara vulgaris (e); Chara contraria (f). The legend key shows the species relative value.
Figure 3. Statistical maps for Chara species distribution on the studied area of south and southeast Kazakhstan in 2019–2022. Chara aspera (a); Chara tomentosa (b); Chara domini (c); Chara globata (d); Chara vulgaris (e); Chara contraria (f). The legend key shows the species relative value.
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Figure 4. Statistical maps for species distribution on the studied area of south and southeast Kazakhstan in 2019–2022. Chara canescens (a); Chara kirghisorum (b); Nitella hyalina (c); Nitellopsis obtusa (d). The legend key shows the species relative value.
Figure 4. Statistical maps for species distribution on the studied area of south and southeast Kazakhstan in 2019–2022. Chara canescens (a); Chara kirghisorum (b); Nitella hyalina (c); Nitellopsis obtusa (d). The legend key shows the species relative value.
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Figure 5. RDA plot of the relationships between environmental variables, Index of organic pollution S, altitude, pH, temperature, and species richness in the habitat community in studied sites of south and southeast Kazakhstan, 2019–2022. Monte Carlo test summary for 999 permutations: significance of first canonical axis: eigenvalue = 0.075; significance of all canonical axes: Trace = 0.177, p-value = 0.094.
Figure 5. RDA plot of the relationships between environmental variables, Index of organic pollution S, altitude, pH, temperature, and species richness in the habitat community in studied sites of south and southeast Kazakhstan, 2019–2022. Monte Carlo test summary for 999 permutations: significance of first canonical axis: eigenvalue = 0.075; significance of all canonical axes: Trace = 0.177, p-value = 0.094.
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Figure 6. Maximum Likelihood tree of the matK gene of Chara spp. Bootstrap values above 97 are included. The scale bar indicates 0.3% sequence divergence. Sample AA 11-2 of Chara vulgaris highlighted by yellow is from Kakpatas River, site 11; sequences were obtained from herbarium material. The taxon name and NSBI GenBank number are provided.
Figure 6. Maximum Likelihood tree of the matK gene of Chara spp. Bootstrap values above 97 are included. The scale bar indicates 0.3% sequence divergence. Sample AA 11-2 of Chara vulgaris highlighted by yellow is from Kakpatas River, site 11; sequences were obtained from herbarium material. The taxon name and NSBI GenBank number are provided.
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Figure 7. Maximum Likelihood tree of the matK gene of Chara spp. Bootstrap values above 97 are included. The scale bar indicates 0.4% sequence divergence. Sample AA 25-1 Chara contraria highlighted by yellow is from The Anniversary Lake, site 25; sequences were obtained from herbarium material. The taxon name and NCBI GenBank number are provided.
Figure 7. Maximum Likelihood tree of the matK gene of Chara spp. Bootstrap values above 97 are included. The scale bar indicates 0.4% sequence divergence. Sample AA 25-1 Chara contraria highlighted by yellow is from The Anniversary Lake, site 25; sequences were obtained from herbarium material. The taxon name and NCBI GenBank number are provided.
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Figure 8. UPGMA Phylogenetic tree comparing the matK sequence of charophyte species in Kazakhstan with those of Israel species. The scale bar refers to evolutionary distances in substitutions per site.
Figure 8. UPGMA Phylogenetic tree comparing the matK sequence of charophyte species in Kazakhstan with those of Israel species. The scale bar refers to evolutionary distances in substitutions per site.
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Figure 9. The surveyed localities (54 study sites) in southern and southeast Kazakhstan in Turkestan (I), Zhambyl (II), and Almaty (III) administrative regions in June–October of 2019–2022.
Figure 9. The surveyed localities (54 study sites) in southern and southeast Kazakhstan in Turkestan (I), Zhambyl (II), and Almaty (III) administrative regions in June–October of 2019–2022.
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Figure 10. Scheme of conservation status of species according to the IUCN criteria [79].
Figure 10. Scheme of conservation status of species according to the IUCN criteria [79].
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Table 1. Data for species environmental variables and co-occurring species of Chara for the studied sites of south and southeast Kazakhstan (bold) and Israel (S. Barinova own definitions).
Table 1. Data for species environmental variables and co-occurring species of Chara for the studied sites of south and southeast Kazakhstan (bold) and Israel (S. Barinova own definitions).
Site NameSpeciespHTDS, mg L−1Conductivity, mSm cm−1N-NO3, mg L−1Altitude, m a.s.l.Water T °CClusterC. contrariaC. globataC. vulgarisC. connivens Salzmann ex. A.Braun
AnniverseryC. contraria7.5---69635.06111-
NevoriaC. gymnophylla8.03440.472.369032.24---1
DafnaC. gymnophylla7.22400.332.514823.72----
Ein TaoC. gymnophylla7.24210.580.97224.53----
Kakpatas RiverC. vulgaris7.0---56132.051-1
Ein El VerdeC. vulgaris7.93550.490.076030.65----
OrenC. vulgaris9.61590.211.824523.91----
BananaC. vulgaris7.611171.531.4022.31----
NaamanC. vulgaris8.078157.780.7631.81----
Turkey cisternC. vulgaris7.53180.442.247220.53----
Carmel parkC. vulgaris7.51820.250.933920.83----
Ein AfeqC. vulgaris9.49561.321.01320.03----
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Nurashov, S.; Jumakhanova, G.; Barinova, S.; Romanov, R.; Sametova, E.; Jiyenbekov, A.; Shalgimbayeva, S.; Smith, T.E. Charophytes (Charophyceae, Charales) of South Kazakhstan: Diversity, Distribution, and Tentative Red List. Plants 2023, 12, 368. https://doi.org/10.3390/plants12020368

AMA Style

Nurashov S, Jumakhanova G, Barinova S, Romanov R, Sametova E, Jiyenbekov A, Shalgimbayeva S, Smith TE. Charophytes (Charophyceae, Charales) of South Kazakhstan: Diversity, Distribution, and Tentative Red List. Plants. 2023; 12(2):368. https://doi.org/10.3390/plants12020368

Chicago/Turabian Style

Nurashov, Satbay, Gaukhar Jumakhanova, Sophia Barinova, Roman Romanov, Elmira Sametova, Aibek Jiyenbekov, Saule Shalgimbayeva, and Thomas Edward Smith. 2023. "Charophytes (Charophyceae, Charales) of South Kazakhstan: Diversity, Distribution, and Tentative Red List" Plants 12, no. 2: 368. https://doi.org/10.3390/plants12020368

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