1. Introduction
Phytoplankton is the most important primary producer of aquatic ecosystems and plays a primary role in energy flow and carbon cycling [1]. A great deal of research has been carried out to identify the factors influencing their distribution and diversity. Phytoplankton communities respond and adapt to recurring dynamics in aquatic ecosystems [2,3]. Their composition and abundance changes are related to variations in local environmental factors due to seasonality, climate variability, anthropic impacts, and even oceanic–atmospheric phenomena that control global climate [4,5,6].
In an annual cycle, phytoplankton can be controlled by light and nutrient availability, temperature, salinity, and grazing by zooplankton [4]. Adapting phytoplankton to fluctuating environmental factors is crucial for their development or permanence in lakes [3]. Tropical lakes are subject to higher solar radiation intensity and experience lower temperature variation than temperate lakes [7]. Temporal changes in phytoplankton are closely associated with the thermal regime and seasonality [8], which in tropical lakes would be influenced by a notable contrast between rainy and dry seasons [2].
High-altitude areas host numerous lakes, 20% located above 1000 m asl [9]. The phytoplanktonic communities of high-mountain lakes (HML) are adapted to extreme conditions, generally subject to low temperatures, intense solar and ultraviolet (UVR) radiation, limited nutrients, and often acidic pH. UVR is one of the main factors that structure diversity in high-mountain lakes [10,11]. The latter is reflected in the intense pigmentation of zooplankton [12,13], as well as in the phytoplankton community mostly dominated by flagellate organisms [14,15,16] or formation of deep chlorophyll maxima located at depths where phytoplanktonic organisms avoid UVR [9,17].
HMLs are among the most comparable ecosystems in the world [18]. Nonetheless, most information comes from temperate HMLs and only a few from tropical areas [19]. A few recent studies on tropical HMLs have been carried out in the tropical Andean lakes, mainly in Ecuador and Colombia. Recent information on tropical HMLs shows high biodiversity, including phytoplankton, and a multifactorial explanation of the biological dynamics (e.g., [20,21,22,23]). Other papers deal with the adverse effects of anthropogenic activities and climate change on tropical HMLs (e.g., [24,25]).
The latter leaves a knowledge gap regarding the general limnology and phytoplankton in HMLs in tropical North America. Mexico has just two HMLs, the only HMLs in the expanse between Panama and the northern region of Mexico, at the edge of the tropical region. Lakes El Sol (El Sol from here on) and La Luna (La Luna from here on) are inside the crater of the Nevado de Toluca volcano, Estado de México (19°06′ N, 99°45′ W) at an altitude of 4207 m asl (Figure 1).
El Sol and La Luna are about 600 m apart; they have the same origin, climate, and geology. Despite their proximity and similar environmental context, it has been found [26,27,28] that their physical, chemical, and biological (e.g., macroinvertebrates and zooplankton) characteristics differ. Dimas-Flores et al. [28] explained that the differences in zooplankton between El Sol and La Luna must be related, at least in part, to the introduction of the rainbow trout (Oncorhynchus mykiss) in the 1950s.
The present study aims to find whether the effect of tropical seasonality on the dynamics of the phytoplankton communities of these two nearby HMLs can be identified. Tropical seasonality is defined by rain (with a rainy season around summer and dry season around winter), differently from temperate seasonality of higher latitudes, which is determined by temperature and associated with varying rainfall regimes, i.e., a dry summer and wet autumn, winter, and spring. Moreover, Lewis [29] has mentioned that tropical lakes receive higher and less variable solar irradiance than temperate lakes, which differ in the minimum annual irradiance, which is higher in the tropics; the higher solar irradiance largely influences (increases) lake primary productivity and metabolism.
The objectives were to (a) record the seasonal dynamics of the phytoplankton community’s composition, abundance, and biomass in both lakes, (b) identify the principal differences between the phytoplankton communities of both lakes, (c) measure the seasonal dynamics of the main environmental (meteorological and limnological) characteristics of both lakes, and (d) detect the critical environmental variables associated with seasonality of the phytoplankton communities.
2. Materials and Methods
2.1. Study Area
The Nevado de Toluca is a stratovolcano with a maximum height of 4680 m asl. This andesitic–dacitic volcanic complex is now in a quiescent state; its last eruption occurred about 3300 years BP [30].
The region’s climate is cold, with daily temperature fluctuations of 10 to 20 °C, average maximum temperatures of 20.9 ± 1.4 °C, and an average minimum temperature of 4 ± 1 °C. Annual precipitation is 1277 mm, concentrated from June to September, and the annual evaporation is 971 mm (Station SMN-15062 of the National Meteorological Service). The vegetation inside the crater is sparse and consists of mosses, lichens, and alpine grasses [31].
El Sol has a catchment area of 2.17 km2, a surface of 237,321 m2, a length of 795 m and a width of 482 m, a perimeter of 2363 m, a maximum depth of 12 m, and an average depth of 6 m. Its thermal regime is discontinuous warm polymictic. It is an oligotrophic lake, with a Secchi disk transparency of 5.4 ± 1.0 m, an average water column temperature of 8.5 ± 1.9 °C, a pH of 7.9 ± 0.2, and an electrical conductivity of 63 ± 20 µS cm−1 [27,28,32].
La Luna has a catchment area of 1.1 km2, a surface of 30,500 m2, a length of 227 m and a width of 209 m, a perimeter of 675 m, a maximum depth of 10 m, and an average depth of 5 m. Its thermal regime is continuously warm polymictic. It is an ultra-oligotrophic lake with a Secchi disk transparency of 9.1 ± 1.8, an average water column temperature of 8.3 ± 2.1 °C, a pH of 4.8 ± 0.1, and an electrical conductivity of 12 ± 3 µS cm−1 [27,28,32].
2.2. Field Sampling
Meteorological data (daily maximum and minimum temperature, and precipitation) were obtained from the automatic weather station (EMA) at Nevado de Toluca (SMN-CONAGUA, 2023) for the study year. Lake sampling was conducted monthly in one station at each lake, at the central and deepest part, from February 2022 to January 2023. The maximum depth (ZMAX) was recorded in situ. Water temperature (T), dissolved oxygen concentration (DO), pH, electrical conductivity (K25), oxidation-reduction potential (ORP), turbidity (Tur), and chlorophyll-a concentration (Chl-a) were measured in situ using a calibrated Hydrolab model DS5 multiparametric probe (vertical resolution 1 m). The number of vertical readings changed according to the maximum depth of each lake at the sampling date. In El Sol, sampling points varied between 10 and 13, and in La Luna, between 8 and 9.
For phytoplankton samples, water was collected with a Niskin bottle. Both lakes are polymictic, so samples were collected at only two depths: 1 m below the surface and 1 m above the bottom. The samples were poured into 600 mL bottles and fixed with Lugol’s acetic iodine solution up to a 1% concentration. Additionally, a vertical drag was carried out along the water column to record those taxa that are not abundant. The drag was concentrated through a 20 µm mesh opening and further fixed with 1% Lugol’s acetic iodine solution up to a 1% concentration.
2.3. Laboratory Analysis
The phytoplankton was quantified using the Utermöhl method by sedimenting 50 mL of sample in a sedimentation chamber, with 48 h of settling time [33,34]. Only organisms with cellular content were counted, considering the number of optical fields, until 400 cells of the most abundant species were reached, providing a confidence interval of ± 10% of the mean [34]. The magnification to perform the quantification was selected according to the sample requirements (e.g., higher magnifications for smaller organisms). The number of cells per milliliter was obtained following APHA et al. [35].
The phytoplankton biomass (approximated from cell biovolumes) was obtained by choosing the closest geometric form for each taxon, according to Sun and Liu [36]. The average dimensions needed to calculate the volume of each geometric form were obtained by measuring 20 individuals of each species.
2.4. Statistical Analysis
The environmental variables were transformed using the Z-score methodology for statistical analysis, while the logarithm of n + 1 was applied for abundance and biomass. This transformation allowed the data to be normally distributed. One-way analysis of variance (ANOVA) was performed to assess whether there were differences in environmental variables and abundance/biomass of phytoplankton between different climatic seasons. In addition, a Student t-test was performed for independent samples to determine whether there were significant differences between the lakes. When performing a detrended correspondence analysis (DCA) to establish the length of the gradient, a value of 1.254 was obtained, leading to a redundancy analysis (RDA). An RDA was made for each lake, analyzing the environmental variables and the abundance/biomass of phytoplankton species to identify which variable significantly influences the temporal variation of phytoplankton. The statistical significance of RDA was determined by a Monte Carlo permutation test (999), and variable variance inflation factors (VIFs) were calculated to identify possible linear dependencies. A Pearson correlation was used to verify the relationship of environmental variables with biological ones. The statistical analyses were run using RStudio with the Vegan package. The Shannon–Wiener and Pielou evenness indexes were calculated with PAST4 [37].
3. Results
3.1. Meteorological Variables
Precipitation and maximum and minimum daily air temperatures during the study are displayed in Figure 2. According to these variables, three seasons were distinguished: the dry/warm season ranging from February to April and characterized by maximum temperatures of 13.6 ± 2.5 °C, scarce rainfall (0.9 ± 4.3 mm/day), and a daily temperature oscillation of 16.4 ± 3.1 °C; the rainy season from May to September corresponding to the maximum rainy period (6.6 ± 7.7 mm/day) and maximum (13.6 ± 1.5 °C) and minimum daily temperatures (−0.3 ± 1.4 °C) with slight oscillation between them (13.8 ± 2.2 °C); and the dry/cold season from October to January characterized by low temperatures (Tmax 12.6 ±1 °C and Tmin −3 ± 1 °C), rainfall shortages (1.3 ± 4.0 mm/day), and a recorded daily temperature oscillation of 16.4 ± 1.4 °C. Cloudiness and late snow explain the low air temperature for a few days in April, a situation triggered by the effect of a temporary cold front. Nonetheless, this brief period of colder air temperature did not mirror the lakes’ temperature. The increasing water temperature trend in the lakes continued.
Contrasting with the ample daily fluctuations in the air temperature, the lakes’ surface-bottom water temperature differences were reduced, averaging 0.72 ± 0.68 °C in El Sol and 0.28 ± 0.26 °C in La Luna [32]. From this section onwards, the remaining variables are described seasonally (i.e., dry/warm, rainy, dry/cold).
3.2. Limnological Variables
Table 1 and Table 2 provide the limnological variables of El Sol and La Luna, respectively. The two lakes are significantly similar (p < 0.05) in T, DO, Tur, and ORP and were significantly different (p > 0.05) in ZMAX, pH, K25, and Chl-a. ZMAX, pH, K25, and Chl-a were higher in El Sol than in La Luna.
ZMAX varied by up to 2.5 m in El Sol and 1.6 m in La Luna. pH in El Sol was higher than in La Luna. In El Sol and La Luna, the pH of the dry/cold season significantly differed (p < 0.05) from that of the dry/warm and rainy seasons.
The K25 values in El Sol were significantly lower (p < 0.05) in the dry/cold season than in the dry/warm and rainy seasons. La Luna also recorded significant seasonal differences (p < 0.05), with higher K25 values during the rainy season and lower in the dry/warm and dry/cold seasons (Table 1 and Table 2).
In El Sol, Chl-a likewise had significant differences (p < 0.05) between the different seasons; the rainy season had higher values than the dry/cold and dry/warm seasons. In La Luna, the highest concentration was recorded in the rainy season, being significantly different (p < 0.05) from those of the dry/warm and dry/cold seasons (Table 1 and Table 2).
The lakes displayed different limnological seasonality despite being in the same volcanic basement and exposed to the same climatic characteristics. In El Sol, the dry/warm season presented the highest values of ZMAX, K25, pH, and ORP and the minimum values of T, Tur, and Chl-a. The rainy season exhibited the highest values of T and Chl-a and the lowest of ZMAX and DO. Finally, in the dry/cold season, the highest values of DO and Tur and the lowest of K25, pH, and ORP were measured. In La Luna, the dry/warm season was characterized by the highest values of ORP and the lowest of ZMAX, T, K25, and Chl-a. The rainy season presented the highest values of T, K25, and pH, and the lowest of DO. Finally, in the dry/cold season, the highest values of ZMAX, DO, and Chl-a were measured, while the lowest values of pH and ORP were recorded. Turbidity was always minimal, with light reaching the lakes’ bottom.
Even though the limnological variables showed statistically significant differences as described earlier, the differences in the intervals of these variables between the lakes or the seasons are minimal. Therefore, they can be considered to have no or minimal ecological implications. However, it is essential to note that some variables (e.g., pH), especially in La Luna, reach borderline levels for many organisms. In other words, both lakes are considered extreme ecosystems, with La Luna being more extreme than El Sol.
3.3. Phytoplankton Composition and Taxonomic Richness
The total phytoplankton taxonomic richness (S) of El Sol and La Luna comprised 63 taxa (Table 3), with 50 taxa in El Sol and 28 taxa in La Luna. Of the 63 taxa, 15 (~24%) were found in both lakes, 33 (~52%) only in El Sol, and 13 (~21%) only in La Luna.
S recorded in El Sol comprised 50 taxa; the most diverse groups of algae were chlorophytes (twelve taxa, 24%), diatoms (seven taxa, 14%), and charophytes (five taxa, 10%). S in La Luna was 28 taxa; the most diverse algal groups were diatoms (six taxa, 21%) and euglenoids (six taxa, 21%) (Table 4).
Only 15 taxa were shared between both lakes: Aulacoseira cf. alpigena, Fragilaria crotonensis, Pinnularia cf. viridis, Chromulina sp., Golenkinia radiata, Oocystis lacustris, Cryptomonas sp., Limnococcus limneticus, Euglena cf. variabilis, Trachelomonas cf. oblonga, T. cf. planctonica, T. volvocina, Trachelomonas sp., Gymnodinium cf. lacustre, and Parvodinium umbonatum.
3.4. Phytoplankton Abundance and Biomass
Regarding their contribution to the total abundance, the most important phytoplankton taxa in El Sol were Oocystis solitaria (29%), Nephrocitium agardhianum (18%), Ochromonas sp. 1 (11%), Oocystis lacustris (10%), and Monoraphidium irregulare (7%) (Figure 3). Neglectella solitaria was the most abundant species (138 ± 206 cells/mL), with the highest values during the dry/warm season (299 ± 364 cells/mL). Two to four taxa represented more than 70% of the abundance per season (Table 4, Appendix A). The phytoplankton of La Luna was scarcer than in El Sol. Concerning their contribution to the total abundance, the most important phytoplankton taxa in La Luna were Gymnodinium cf. lacustre (87%), Ceratium cf. hirundinella (3%), Temnogametum iztacalense (3%), and Fragilaria crotonensis (3%) (Figure 3). Gymnodium cf. lacustre was the most abundant species (124 ± 146 cells/mL), with the highest values during the dry/cold season (197 ± 196 cells/mL). One to two taxa represent more than 75% of the abundance per season (Table 4, Appendix B).
Considering their contribution to biomass, the most important phytoplankton taxa in El Sol were Cosmarium cf. reniforme (64%), Peridinium willei (20%), Fragilaria crotonensis (5%), and Botryococcus braunii (4%) (Figure 4). Cosmarium cf. reniforme was the taxon with the highest biomass contribution (2.7 ± 8.6 × 106 µm3/L), with its maximum values during the dry/warm season (9.0 ± 15.6 × 106 µm3/L). The phytoplankton biomass in El Sol during the dry/warm season ranged from 0.3 to 42.0 × 106 µm3/L, corresponding to 84.8% of the total biomass throughout the year; two taxa made up 86% (Figure 4). During the rainy season, biomass represented 11.6% (from 0.5 to 1.5 × 106 µm3/L), and 77% comprised six taxa. Finally, during the dry/cold season, the biomass ranged from 0.1 to 0.7 × 106 µm3/L, corresponding to 3.5% of the total; two taxa comprised 80% of the biomass (Table 4, Appendix C).
The total biomass of La Luna represents 48% of the total phytoplankton biomass of El Sol. Regarding their contribution to biomass, the most important phytoplankton taxa in La Luna were Gymnodinium cf. lacustre (74%), Temnogametum iztacalense (11%), Ceratium cf. hirundinella (9%), and Fragilaria crotonensis (6%) (Figure 4). The phytoplankton biomass during the dry/warm seasons ranged between 0.09 to 0.3 × 106 µm3/mL, corresponding to 11.8% of the total biomass recorded throughout the year; two taxa comprised 86%. During the rainy season, biomass varied from 0.07 to 0.4 × 106 µm3/mL (14.7%), where six taxa made up 77% (Figure 4). Finally, in the dry/cold season, the highest biomass values ranged from 0.4 to 2.4 × 106 µm3/mL (73.5%); four taxa made up 80% (Table 4, Appendix D).
The higher phytoplankton diversity (H′ = 1.99 ± 0.35) in El Sol compared to La Luna (H′ = 0.86 ± 0.74) suggests a more diverse and balanced ecosystem in El Sol with numerous species (Table 4). However, the moderate H′ and low J′ (0.27 ± 0.05) in El Sol indicate the dominance of a few species. In contrast, the low phytoplankton diversity and J′ (0.33 ± 0.12) in La Luna suggest the dominance of a few species or potential ecological stress (e.g., acidic pH).
3.5. Redundancy Analysis and Pearson Correlation
A p > 0.05 was observed (Monte Carlo permutation test) in the RDA of both lakes, indicating no correlation between the abundance/biomass of phytoplankton species and the meteorological or limnological variables. The above revealed that any of the variables herein measured would contribute to explaining the phytoplankton dynamics in these HMLs. The Pearson correlations analysis of El Sol revealed water temperature as the most critical variable. The water temperature had a positive correlation with Monoraphidium irregulare (p = 0.009), Oocystis lacustris (p = 0.02), and Ochromonas sp. 1 (p = 0.004). In the analysis of La Luna, no variable had correlations with the abundance or biomass of the phytoplankton community.
4. Discussion
The taxonomic richness, S, of El Sol and La Luna is similar to that of other tropical HMLs (see Table 5). The phytoplankton composition of El Sol and La Luna is also comparable to that of other HMLs. In Mexico, diatoms, chlorophytes, and cyanobacteria are the most diverse phytoplankton groups [39,40,41]. Catalan and colleagues [42] noted that mixotrophic organisms (like flagellates from diverse taxonomical groups, Gymnodinium, Chromulina, Ochromonas, Dinobryon, and Cryptomonas) constitute a significant portion of the phytoplankton in oligotrophic and ultra-oligotrophic lakes. Tolloti and colleagues [15] found that flagellates (chrysophytes, cryptophytes, and dinoflagellates) dominate phytoplankton communities. Flagellated organisms can move deeper into the water column to protect themselves from the high intensity of UV radiation [43,44].
As mentioned at the beginning, HMLs are extreme ecosystems. The lower pH, conductivity, and nutrient concentration in La Luna influence its phytoplankton community’s low values of H′ and J′. El Sol also has low pH, conductivity, and nutrient concentration but is less extreme than La Luna. Thus, its phytoplankton community’s H′ and J′ values are not as low as in La Luna.
Our research underscores the pivotal role of seasonality in shaping the dynamics of phytoplankton communities. For instance, we observed a higher taxonomic richness in the rainy season in both lakes (thirty-one taxa in El Sol and eight taxa in La Luna), with eleven taxa exclusively present during this season. The dominance of certain phytoplankton groups also shifts with the seasons. In both lakes, the dinoflagellates were absent in the rainy season, and the diatoms and cyanobacteria were lacking in the dry/cold period. These findings highlight the intricate and ever-changing interplay of seasonal variations and phytoplankton dynamics, stimulating further exploration.
The abundance and biomass of phytoplankton are associated with dry and rainy periods in tropical inland aquatic ecosystems [45]. The highest abundance and biomass were observed in both lakes and asynchronously in the dry period. The highest peak of abundance and biomass in El Sol was observed in the dry/warm season, while that in La Luna was observed in the dry/cold season. The main species contributing to the abundance are Neglectella plus Oocystis in El Sol and Gymnodium in La Luna; both genera dominate HMLs [46]. Regarding biomass, the prevailing taxa found in El Sol and La Luna (Cosmarium, Fragilaria, Peridinium, Ceratium, Botryococcus) are frequently reported in HMLs [15,42,45,46,47,48].
The differences in phytoplankton composition, abundance, and biomass in neighboring lakes with similar landscape characteristics are typically linked to geological diversity and morphological features, such as depth, that influence abiotic factors [49,50]. Despite similar climates and geology, El Sol and La Luna differ in shape. El Sol is larger and more profound than La Luna, and the size of its drainage area also differs, with El Sol covering 2.17 km2 and La Luna covering 1.1 km2. These differences likely account for the varying limnological characteristics (e.g., pH, K25, Chl-a) observed in each climatic season (i.e., dry/cold, rainy, dry/warm).
The replacement of phytoplankton taxonomic groups is a well-documented phenomenon, often linked to the dynamics of abiotic and biotic factors such as temperature and pH. For instance, the succession of diatoms is strongly influenced by changes in pH, as noted by Muñoz-López et al. [23]. During our study period, the lowest pH values (El Sol: 7.1 ± 0.1, La Luna: 3.9 ± 0.1) were recorded in the dry/cold season. Ibarra-Morales et al. [51] found that the atmospheric bulk deposition reaching Nevado de Toluca varies between the cold/dry season with SW–NE wind direction and the warm/rainy season with NE–SW wind direction. In the warm/rainy season, pH and K25 were lower than in the cold/dry season. The more acidic bulk deposition during the warm/rainy season explains the lower pH values recorded in the lakes during this season. Ibarra-Morales [pers. com., October 2024] found no difference between the bulk deposition in El Sol and La Luna; therefore, the differences in pH and other variables between El Sol and La Luna could be associated, at least partially, with the larger area draining into El Sol.
Environmental stress reduces diversity, allowing only species tolerant of that stress to dominate [4]. An example is Temnogametum iztacalense in La Luna, a green alga (Charophyta, Zygnematatophyceae) closely related to Mougeotia. This well-known acidophilic species indicates low pH values in the lake (lower than El Sol). This green alga’s intense purple color also reflects a protective mechanism against the high UV radiation that reaches the bottom of this shallow and transparent lake.
On the other hand, the convergence of multiple factors results in stochastic or non-linear responses in the phytoplankton community [46,52]. In this sense, although a more significant variation was observed in the phytoplankton community than in the limnological factors, the meteorological variables’ seasonality seemed to drive the dynamics of limnological factors, both in El Sol (T, pH, K25, Chl-a) and La Luna (pH, K25, ORP).
The lower abundance and biomass of phytoplankton in Lake La Luna compared to Lake El Sol could be linked to the more extreme conditions in La Luna, such as its ultra-oligotrophy and very low pH and K25, as well as its shallowness and high water transparency. These conditions induce high doses of ultraviolet radiation (UVR) to reach the bottom of the lake, providing no depth refuge for plankton protection. The significance of low pH and high UVR incidence were suggested to be the most critical factors in reducing plankton diversity, as indicated by Dimas-Flores et al. [28] for the zooplankton of Lake La Luna.
In the 1950s, the Mexican government introduced rainbow trout (Oncorhynchus mykiss) into the lakes, a species that only remains in El Sol. The lack of baseline studies conducted before the fish’s introduction makes it impossible to fully understand the extent of the modification it caused. However, their introduction is a stark reminder of the potentially significant impact of human interventions on natural ecosystems. The differences between the two lakes, with higher pH, nutrient concentration, primary productivity, turbidity, etc., in El Sol, can be partly attributed to this introduction. It is also expected that the introduction of the trout modified the original biological composition and abundance of El Sol by introducing exotic species along with the trout.
The less extreme conditions of El Sol allow for more abundant phytoplankton [the present study] and zooplankton [28] communities than in La Luna; the abundance in La Luna is 1/5th in phytoplankton and 1/100th in zooplankton that of El Sol. Zooplankton predation pressure on phytoplankton must be higher in El Sol than in La Luna. However, this has neither been evaluated nor has its implications on phytoplankton dynamics been considered, indicating an opportunity for future studies.
5. Conclusions
El Sol and La Luna were shown to be limnologically different, mainly in pH, K25, and Chl-a concentration, with higher values in El Sol. The tropical seasonality is expressed in three climatic seasons (dry/cold, rainy, and dry/warm) and mirrored in the lakes’ seasonally different environmental characteristics (e.g., T, K25, pH, Chl-a). Despite finding statistically significant differences in some limnological variables between the two lakes, the ranges of the values for these variables are very similar between both lakes and climate seasons. Therefore, it is likely that these differences are not ecologically relevant. Despite this fact, El Sol and La Luna’s phytoplankton communities differed.
The taxonomic richness of El Sol’s phytoplanktonic community comprised 50 taxa, while La Luna’s included only 28. The most diverse phytoplankton groups were chlorophytes, diatoms, and charophytes in El Sol, and diatoms and euglenoids in La Luna. Neglectella solitaria and Cosmarium cf. reniforme dominated in abundance and biomass, respectively, in El Sol. Gymnodium cf. lacustre dominated in both abundance and biomass in La Luna. As expected, no statistical correlations were found between the phytoplankton communities and the limnological variables.
The different taxonomic composition and dominance, and the lower values of S, abundance, and biomass in La Luna compared to El Sol, are probably associated with (1) the different morphometry (e.g., depth, length) and the size of its drainage areas (i.e., more extensive in El Sol), (2) the more extreme conditions of La Luna (e.g., lower pH, ultra-oligotrophy, increased exposure to UVR), and (3) the introduction of rainbow trout that undoubtedly altered the original limnological characteristics of El Sol.
Regarding future endeavors, paleolimnological evidence could help us understand the original characteristics of El Sol, its resemblance to La Luna, and the importance of the morphometric differences between both lakes. Furthermore, it could provide insights into the impact of introducing rainbow trout on the limnology of El Sol and the speed at which these changes occurred. This evidence would also contribute to our understanding of the effects of introducing exotic species on pristine HMLs.
Conceptualization, R.F., J.A., L.A.O., C.A.Z.-R. and G.V.; methodology, R.F., J.A., L.A.O. and C.A.Z.-R.; software, R.F. and L.A.O.; validation, R.F., J.A. and L.A.O.; formal analysis, R.F., J.A., L.A.O., C.A.Z.-R. and G.V.; investigation, R.F., J.A. and L.A.O.; resources, J.A.; data curation, R.F. and C.A.Z.-R.; writing—original draft preparation, R.F. and J.A.; writing—review and editing, R.F., J.A., L.A.O. and G.V.; visualization, R.F., J.A., L.A.O. and C.A.Z.-R.; supervision, R.F., J.A., L.A.O., C.A.Z.-R. and G.V.; project administration, J.A.; funding acquisition, J.A. All authors have read and agreed to the published version of the manuscript.
Data are available from the authors upon reasonable request.
The Comisión Estatal de Parques Naturales y de la Fauna (CEPANAF, Secretaría de Ecología, Gobierno del Estado de México) provided the permit for scientific research at the Área de Protección de Flora y Fauna Nevado de Toluca. We thank E. Montserrat Rivera, Mariana Vargas and Ismael F. Soria for their support during the fieldwork. Mariana Vargas drew
The authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest [such as honoraria, educational grants, participation in speakers’ bureaus, membership, employment, consultancies, stock ownership or other equity interest, or expert testimony or patent-licensing arrangements] or non-financial interest [such as personal or professional relationships, affiliations, knowledge, or beliefs] in the subject matter or materials discussed in this manuscript.
Footnotes
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.
Figure 1. Location of Lakes El Sol and La Luna, inside the crater of the Nevado de Toluca volcano, Estado de México.
Figure 2. Daily precipitation values and maximum and minimum air temperature in the Nevado de Toluca volcano (EMA weather station Nevado de Toluca: 19.11667 N, −99.76666667 W, 4082 m a.s.l.). The light blue square with a black frame identifies the rainy season.
Figure 3. Seasonal variation of the phytoplankton dominant taxa abundance in El Sol (top) and La Luna (bottom). (Other: comprises the rest of the taxa).
Figure 4. Seasonal variation of the phytoplankton dominant taxa biomass in El Sol (top) and La Luna (bottom). (Other: comprises the rest of the taxa).
Environmental variables (average ± standard deviation) of Lake El Sol, Nevado de Toluca, measured during February 2022–January 2023. (ZMAX = maximum depth, T = temperature, K25 = electrical conductivity, ORP = oxidation-reduction potential, DO = dissolved oxygen, Tur = turbidity, Chl-a = chlorophyll-a concentration).
Variable | Dry/Warm | Rainy | Dry/Cold | Annual |
---|---|---|---|---|
ZMAX (m) | 10.8 ± 0.9 | 9.8 ± 1.0 | 10.3 ± 0.3 | 10.3 ± 0.7 |
T (°C) | 7.8 ± 0.2 | 11.2 ± 0.3 | 7.9 ± 0.2 | 9.0 ± 0.2 |
K25 (µS/cm) | 45.3 ± 0.2 | 42.8 ± 0.3 | 39.1 ± 0.5 | 42.4 ± 0.3 |
pH | 8.5 ± 0.1 | 8.3 ± 0.3 | 7.1 ± 0.1 | 7.9 ± 0.2 |
ORP (mV) | 384 ± 4 | 311 ± 16 | 284 ± 3 | 326 ± 8 |
DO (mg/L) | 7.9 ± 0.1 | 6.0 ± 1.2 | 8.1 ± 0.8 | 7.3 ± 0.7 |
Tur (NTU) | 0.0 ± 0.0 | 0.1 ± 0.3 | 0.2 ± 0.4 | 0.1 ± 0.2 |
Chl-a (µg/L) | 0.4 ± 0.0 | 1.3 ± 0.2 | 1.0 ± 0.0 | 0.9 ± 0.9 |
Environmental variables (average ± standard deviation) of Lake La Luna, Nevado de Toluca, measured during February 2022–January 2023. (ZMAX = maximum depth, T = temperature, K25 = electrical conductivity, ORP = oxidation-reduction potential, DO = dissolved oxygen, Tur = turbidity, Chl-a = chlorophyll-a concentration).
Variable | Dry/Warm | Rainy | Dry/Cold | Annual |
---|---|---|---|---|
ZMAX (m) | 7.2 ± 0.8 | 7.3 ± 0.6 | 7.4 ± 0.4 | 7.3 ± 0.6 |
T (°C) | 8.3 ± 0.1 | 11.1 ± 0.2 | 8.3 ± 0.5 | 9.2 ± 0.2 |
K25 (µS/cm) | 9.6 ± 0.1 | 10.5 ± 0.1 | 10.1 ± 0.1 | 10.0 ± 0.1 |
pH | 5.0 ± 0.1 | 5.6 ± 0.2 | 3.9 ± 0.1 | 4.8 ± 0.1 |
ORP (mV) | 467 ± 11 | 384 ± 22 | 381 ± 10 | 410 ± 14 |
DO (mg/L) | 6.9 ± 0.0 | 6.3 ± 0.0 | 7.2 ± 0.0 | 6.8 ± 0.0 |
Tur (NTU) | 0.0 ± 0.0 | 0.0 ± 0.0 | 0.0 ± 0.0 | 0.0 ± 0.0 |
Chl-a (µg/L) | 0.2 ± 0.0 | 0.3 ± 0.0 | 0.5 ± 0.0 | 0.3 ± 0.0 |
Phytoplankton taxonomic list of El Sol and La Luna, Nevado de Toluca, México. Nomenclature follows that of AlgaeBase (H.R. = higher ranks, phylum and class) [
N° | H.R. | Taxon | El Sol | La Luna |
---|---|---|---|---|
1 | Hd | Aulacoseira cf. alpigena | X | X |
2 | Hd | Aulacoseira nivaloides | X | - |
3 | Hd | Cyclotella sp. | X | - |
4 | Hd | Cymbella sp. | - | X |
5 | Hd | Fragilaria crotonensis | X | X |
6 | Hd | Frustulia rhomboides | - | X |
7 | Hd | Navicula sp. | X | - |
8 | Hd | Pinnularia cf. viridis | X | X |
9 | Hd | Pinnularia subcapitata | - | X |
10 | Hd | Synedra cf. ulna | X | - |
11 | Hc | Chromulina sp. | X | X |
12 | Hc | Chrysococcus minutus | X | - |
13 | Hc | Dinobryon cf. sociale | X | - |
14 | Hc | Mallomonas cf. akrokomos | X | - |
15 | Hc | Ochromonas sp. 1 | X | - |
16 | Hc | Ochromonas sp. 2 | - | X |
17 | ChZ | Closterium setaceum | X | - |
18 | ChZ | Cosmarium cf. ocellatum | X | - |
19 | ChZ | Cosmarium cf. reniforme | X | - |
20 | ChZ | Staurastrum cf. gracile | X | - |
21 | ChZ | Staurastrum sp. | X | - |
22 | ChZ | Temnogametum iztacalense | - | X |
23 | ClT | Botryococcus braunii | X | - |
24 | ClT | Chlorella sp. | - | X |
25 | ClT | Crucigeniella sp. | X | - |
26 | ClT | Neglectella solitaria | X | - |
27 | ClT | Oocystis lacustris | X | X |
28 | ClC | Chlorogonium minimum | X | - |
29 | ClC | Gemellicystis planctonica | X | - |
30 | ClC | Gloeocystis sp. | X | - |
31 | ClC | Golenkinia radiata | X | X |
32 | ClC | Kirchneriella lunaris | X | - |
33 | ClC | Kirchneriella obesa | X | - |
34 | ClC | Microglena monadina | X | - |
35 | ClC | Monoraphidium griffithii | X | - |
36 | ClC | Monoraphidium irregulare | X | - |
37 | ClC | Nephrocitium agardhianum | X | - |
38 | ClC | Palmella sp. | X | - |
39 | ClC | Pediastrum simplex | - | X |
40 | ClP | Pyramimonas sp. | X | - |
41 | Cr | Cryptomonas sp. | X | X |
42 | Cy | Anabaena sp. | X | - |
43 | Cy | Anabaenopsis sp. | - | X |
44 | Cy | Gomphosphaeria sp. | X | - |
45 | Cy | Limnococcus limneticus | X | X |
46 | Cy | Merismopedia elegans | - | X |
47 | Cy | Microcystis cf. botrys | X | - |
48 | Cy | Pseudanabaena sp. | X | - |
49 | Cy | Synechococcus sp. | X | - |
50 | Cy | Synechocystis sp. | - | X |
51 | E | Euglena cf. variabilis | X | X |
52 | E | Euglena sp. | - | X |
53 | E | Lepocinclis cf. ovum | X | - |
54 | E | Trachelomonas cf. oblonga | X | X |
55 | E | Trachelomonas cf. planctonica | X | X |
56 | E | Trachelomonas sp. | X | X |
57 | E | Trachelomonas volvocina | X | X |
58 | D | Ceratium cf. hirundinella | - | X |
59 | D | Gymnodinium cf. lacustre | X | X |
60 | D | Gymnodinium lantzschii | - | X |
61 | D | Parvodinium umbonatum | X | X |
62 | D | Peridinium cf. volzii | X | - |
63 | D | Peridinium willei | X | - |
Average taxonomic richness (S), number of exclusive taxa per season, abundance and biomass of phytoplankton, number of dominant taxa per season, and the Shannon–Wiener diversity (H′) and Pielou evenness (J′) indexes in El Sol and La Luna.
El Sol | Dry/Warm | Rainy | Dry/Cold | Annual |
S | 12.0 ± 2.6 | 14.9 ± 3.6 | 13.3 ± 7.0 | 13.6 ± 4.3 |
Exclusive spp. | 4 | 8 | 7 | - |
Abundance (cells/mL) | 532.5 ± 414.9 | 607.3 ± 286.0 | 242.2 ± 12.3 | 475.3 ± 304.1 |
Ab. Dominant spp. | 2 (71%) | 4 (71%) | 4 (74%) | 5 (75%) |
Biomass (µm3/mL) | 14.18 ± 24.17 × 106 | 0.95 ± 0.41 × 106 | 0.49 ± 0.32 × 106 | 4.81 ± 13.14 × 106 |
Bio. Dominant spp. | 2 (86%) | 6 (77%) | 4 (80%) | 2 (78%) |
H′ | 1.61 | 2.27 | 2.10 | 2.44 |
J′ | 0.22 | 0.30 | 0.30 | 0.23 |
La Luna | Dry/Warm | Rainy | Dry/Cold | Annual |
S | 5.3 ± 0.6 | 2.9 ± 0.3 | 3.0 ± 1.0 | 3.7 ± 1.3 |
Exclusive spp. | 5 | 3 | 1 | - |
Abundance (cells/mL) | 20.0 ± 6.3 | 46.9 ± 52.2 | 202.3 ± 200.8 | 85.5 ± 128.5 |
Ab. Dominant spp. | 2 (76%) | 1 (80%) | 1 (98%) | 1 (87%) |
Biomass (µm3/mL) | 0.18 ± 0.16 × 106 | 0.17 ± 0.16 × 106 | 1.04 ± 0.94 × 106 | 0.44 ± 0.62 × 106 |
Bio. Dominant spp. | 2 (91%) | 2 (79%) | 1 (94%) | 2 (85%) |
H′ | 1.63 | 0.81 | 0.15 | 0.68 |
J′ | 0.46 | 0.28 | 0.23 | 0.12 |
Phytoplankton taxonomic richness (S), abundance (Ab), biomass (Bio), and dominant group (Dom) in tropical HMLs. (Ref = reference: 1: [
Site | Lake | S | Ab (Cell/mL) | Bio (µm3/mL) | Dom | Ref |
---|---|---|---|---|---|---|
Colombian | Sol | 20 | Charophyta (49 taxa), | 1 | ||
Frailejones | 48 | Heterokontophyta (diatoms (23 taxa), | ||||
Los Tutos | 42 | Cyanobacteria (20 taxa), | ||||
Verde | 24 | Chlorophyta (19 taxa), | ||||
Pozo Verde | 31 | Heterokontophyta (chrysophytes (5 taxa), Dinoflagellata (4 taxa) | ||||
San Pablo | 31 | 4000 | Chlorophyta (16 taxa), Heterokontophyta (diatoms,6taxa) | 2 | ||
Ecuadorian | Paramo Lakes (11 lakes) | 12 to 45 | 2 to 4000 | Chlorophyta (60%), dinoflagellates (18%), Euglenophyta (10%) | 3 | |
Glacial Lakes (5 lakes) | 13 to 24 | 0 to 400 | Cryptista (50%), Dinoflagellata (32%) | |||
Condorshillu, Tres Lagunas, and Laguna Grande | 15 to 43 | 4066 to 120,914 | 3.63 to 241.67 × 106 | Bacillariophyta (50%), Dinoflagellata (24%) | 4 | |
Nevado de | El Sol | 50 | 475.3 ± 304.1 | 4.81 ± 13.14 × 106 | Chlorophyta (16 taxa, 32%), Heterokontophyta (diatoms, 7 taxa, 14%; chrysophytes, 5 taxa, 10%), Euglenophyta (6 taxa, 12%), Charophyta (5 taxa, 10%), Dinoflagellata (4 taxa, 8%), Cyanobacteria (6 taxa, 12%) | 5 |
La Luna | 28 | 85.5 ± 128.5 | 0.44 ± 0.62 × 106 | Chlorophyta (4 taxa, 14%), Heterokontophyta (diatoms, 6 taxa, 21%; chrysophytes, 2 taxa, 7%), Euglenophyta (6 taxa, 21%), Charophyta (1 taxa, 4%), Dinoflagellata (4 taxa, 14%), Cyanobacteria (4 taxa, 8%) |
Appendix A
Abundance (cells/mL) of the different phytoplankton taxa recorded in El Sol.
Taxon | Dry/Warm | Rainy | Dry/Cold | ||||||
---|---|---|---|---|---|---|---|---|---|
Aulacoseira cf. alpigena | 1.5 | ± | 2.2 | 0.5 | ± | 1.0 | 0.0 | ± | 0.0 |
Aulacoseira nivaloides | 2.5 | ± | 4.3 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Cyclotella sp. | 0.0 | ± | 0.0 | 6.5 | ± | 13.0 | 0.0 | ± | 0.0 |
Fragilaria crotonensis | 12.7 | ± | 15.2 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Navicula sp. | 0.5 | ± | 0.9 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Pinnularia cf. viridis | 0.2 | ± | 0.3 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Synedra cf. ulna | 0.7 | ± | 1.2 | 0.9 | ± | 1.8 | 0.0 | ± | 0.0 |
Chromulina sp. | 0.7 | ± | 1.2 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Chrysococcus minutus | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 | 5.3 | ± | 9.2 |
Dinobryon cf. sociale | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 | 0.2 | ± | 0.3 |
Mallomonas cf. akrokomos | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 | 9.2 | ± | 15.9 |
Ochromonas sp. 1 | 81.2 | ± | 57.2 | 9.8 | ± | 12.2 | 80.3 | ± | 94.4 |
Closterium setaceum | 0.5 | ± | 0.9 | 0.0 | ± | 0.0 | 22.3 | ± | 27.8 |
Cosmarium cf. ocellatum | 0.2 | ± | 0.3 | 0.0 | ± | 0.0 | 0.5 | ± | 0.5 |
Cosmarium cf. reniforme | 2.8 | ± | 4.5 | 1.4 | ± | 0.9 | 0.7 | ± | 0.8 |
Staurastrum cf. gracile | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 | 0.3 | ± | 0.6 |
Staurastrum sp. | 0.0 | ± | 0.0 | 0.3 | ± | 0.5 | 0.2 | ± | 0.3 |
Botryococcus braunii | 3.3 | ± | 5.8 | 2.8 | ± | 5.5 | 0.0 | ± | 0.0 |
Crucigeniella sp. | 0.0 | ± | 0.0 | 26.1 | ± | 32.8 | 0.0 | ± | 0.0 |
Neglectella solitaria | 296.0 | ± | 363.9 | 76.9 | ± | 52.8 | 61.2 | ± | 18.4 |
Oocystis lacustris | 10.7 | ± | 16.8 | 104.9 | ± | 99.9 | 6.5 | ± | 7.7 |
Chlorogonium minimum | 2.7 | ± | 2.5 | 0.0 | ± | 0.0 | 16.0 | ± | 16.3 |
Gemellicystis planctonica | 0.0 | ± | 0.0 | 4.1 | ± | 8.3 | 0.0 | ± | 0.0 |
Gloeocystis sp. | 0.0 | ± | 0.0 | 4.1 | ± | 5.9 | 0.0 | ± | 0.0 |
Golenkinia radiata | 0.3 | ± | 0.5 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Kirchneriella lunaris | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 | 0.2 | ± | 0.3 |
Kirchneriella obesa | 0.0 | ± | 0.0 | 1.0 | ± | 2.0 | 0.0 | ± | 0.0 |
Microglena monadina | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 | 2.8 | ± | 4.9 |
Monoraphidium griffithii | 19.8 | ± | 17.3 | 12.9 | ± | 20.0 | 1.8 | ± | 3.2 |
Monoraphidium irregulare | 0.0 | ± | 0.0 | 80.5 | ± | 95.0 | 0.3 | ± | 0.6 |
Nephrocitium agardhianum | 47.2 | ± | 58.5 | 171.1 | ± | 213.6 | 12.7 | ± | 21.9 |
Palmella sp. | 0.0 | ± | 0.0 | 0.4 | ± | 0.8 | 0.0 | ± | 0.0 |
Pyramimonas sp. | 0.0 | ± | 0.0 | 0.5 | ± | 1.0 | 0.0 | ± | 0.0 |
Cryptomonas sp. | 0.0 | ± | 0.0 | 8.9 | ± | 16.1 | 10.8 | ± | 11.2 |
Anabaena sp. | 32.8 | ± | 40.1 | 1.3 | ± | 2.5 | 0.0 | ± | 0.0 |
Gomphosphaeria sp. | 0.0 | ± | 0.0 | 33.8 | ± | 67.5 | 0.0 | ± | 0.0 |
Limnococcus limneticus | 0.0 | ± | 0.0 | 0.6 | ± | 0.9 | 0.2 | ± | 0.3 |
Microcystis cf. botrys | 0.0 | ± | 0.0 | 35.3 | ± | 56.2 | 0.0 | ± | 0.0 |
Pseudanabaena sp. | 3.8 | ± | 6.6 | 0.0 | ± | 0.0 | 0.7 | ± | 1.2 |
Synechococcus sp. | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 | 0.8 | ± | 1.4 |
Euglena cf. variavilis | 0.3 | ± | 0.6 | 4.6 | ± | 6.0 | 0.8 | ± | 1.0 |
Lepocinclis cf. ovum | 0.0 | ± | 0.0 | 0.5 | ± | 1.0 | 2.3 | ± | 4.0 |
Trachelomonas cf. oblonga | 8.7 | ± | 15.0 | 1.5 | ± | 1.2 | 0.2 | ± | 0.3 |
Trachelomonas cf. planctonica | 0.0 | ± | 0.0 | 0.3 | ± | 0.5 | 0.0 | ± | 0.0 |
Trachelomonas sp. | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 | 3.2 | ± | 3.0 |
Trachelomonas volvocina | 2.5 | ± | 4.3 | 2.6 | ± | 1.8 | 0.0 | ± | 0.0 |
Gymnodinium cf. lacustre | 0.0 | ± | 0.0 | 0.6 | ± | 0.8 | 0.7 | ± | 1.2 |
Parvodinium umbonatum | 0.0 | ± | 0.0 | 9.4 | ± | 18.8 | 2.0 | ± | 3.5 |
Peridinium cf. volzii | 0.0 | ± | 0.0 | 2.3 | ± | 4.5 | 0.0 | ± | 0.0 |
Peridinium willei | 1.3 | ± | 2.3 | 1.3 | ± | 1.0 | 0.0 | ± | 0.0 |
Appendix B
Abundance (cells/mL) of the different phytoplankton taxa recorded in La Luna.
Taxon | Dry/Warm | Rainy | Dry/Cold | ||||||
---|---|---|---|---|---|---|---|---|---|
Aulacoseira cf. alpigena | 0.7 | ± | 1.2 | 3.1 | ± | 6.3 | 0.0 | ± | 0.0 |
Cymbella sp. | 0.0 | ± | 0.0 | 0.03 | ± | 0.05 | 0.0 | ± | 0.0 |
Fragilaria crotonensis | 7.7 | ± | 4.8 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Frustulia rhomboides | 0.0 | ± | 0.08 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Pinnularia cf. viridis | 0.2 | ± | 0.3 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Pinnularia subcapitata | 0.0 | ± | 0.0 | 0.1 | ± | 0.3 | 0.0 | ± | 0.0 |
Chromulina sp. | 0.0 | ± | 0.0 | 0.2 | ± | 0.3 | 0.0 | ± | 0.0 |
Ochromonas sp. 2 | 0.2 | ± | 0.3 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Temnogametum iztacalense | 0.6 | ± | 0.4 | 3.5 | ± | 3.6 | 2.3 | ± | 2.0 |
Chlorella sp. | 0.0 | ± | 0.0 | 0.1 | ± | 0.2 | 0.0 | ± | 0.0 |
Oocystis lacustris | 0.8 | ± | 0.8 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Golenkinia radiata | 0.0 | ± | 0.0 | 0.2 | ± | 0.3 | 0.0 | ± | 0.0 |
Pediastrum simplex | 0.0 | ± | 0.0 | 0.03 | ± | 0.1 | 0.0 | ± | 0.0 |
Cryptomonas sp. | 0.3 | ± | 0.6 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Anabaenopsis sp. | 1.7 | ± | 2.9 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Limnococcus limneticus | 0.0 | ± | 0.0 | 0.1 | ± | 0.3 | 0.8 | ± | 1.4 |
Merismopedia elegans | 0.3 | ± | 0.6 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Synechocystis sp. | 0.0 | ± | 0.0 | 1.1 | ± | 2.3 | 0.0 | ± | 0.0 |
Euglena cf. variabilis | 0.01 | ± | 0.01 | 0.2 | ± | 0.2 | 0.0 | ± | 0.0 |
Euglena sp. | 0.2 | ± | 0.3 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Trachelomonas cf. oblonga | 0.3 | ± | 0.6 | 0.0 | ± | 0.0 | 0.5 | ± | 0.5 |
Trachelomonas cf. planctonica | 0.1 | ± | 0.1 | 0.1 | ± | 0.1 | 0.0 | ± | 0.0 |
Trachelomonas sp. | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 | 1.3 | ± | 2.3 |
Trachelomonas volvocina | 0.3 | ± | 0.6 | 0.0 | ± | 0.0 | 0.0 | ± | 0.0 |
Ceratium cf. hirundinella | 7.5 | ± | 13.0 | 1.1 | ± | 2.3 | 0.0 | ± | 0.0 |
Gymnodinium cf. lacustre | 0.0 | ± | 0.0 | 37.5 | ± | 50.6 | 197.3 | ± | 196.5 |
Gymnodinium lantzschii | 0.0 | ± | 0.0 | 0.3 | ± | 0.5 | 0.0 | ± | 0.0 |
Parvodinium umbonatum | 0.0 | ± | 0.0 | 0.4 | ± | 0.6 | 0.0 | ± | 0.0 |
Appendix C
Biomass (µm3/mL) of the different phytoplankton taxa recorded in El Sol.
Taxon | Dry/Warm | Rainy | Dry/Cold | ||||||
---|---|---|---|---|---|---|---|---|---|
Aulacoseira cf. alpigena | 7067 | ± | 1027 | 236 | ± | 471 | 0 | ± | 0 |
Aulacoseira nivaloides | 2985 | ± | 5170 | 0 | ± | 0 | 0 | ± | 0 |
Cyclotella sp. | 0 | ± | 0 | 18,369 | ± | 36,738 | 0 | ± | 0 |
Fragilaria crotonensis | 751,136 | ± | 1,248,554 | 0 | ± | 0 | 0 | ± | 0 |
Navicula sp. | 1848 | ± | 3201 | 0 | ± | 0 | 0 | ± | 0 |
Pinnularia cf. viridis | 52 | ± | 91 | 0 | ± | 0 | 0 | ± | 0 |
Synedra cf. ulna | 277,348 | ± | 480,381 | 4116 | ± | 8232 | 0 | ± | 0 |
Chromulina sp. | 223 | ± | 387 | 0 | ± | 0 | 0 | ± | 0 |
Chrysococcus minutus | 0 | ± | 0 | 0 | ± | 0 | 2392 | ± | 4142 |
Dinobryon cf. sociale | 0 | ± | 0 | 0 | ± | 0 | 92 | ± | 159 |
Mallomonas cf. akrokomos | 0 | ± | 0 | 0 | ± | 0 | 2127 | ± | 3684 |
Ochromonas sp. 1 | 34,814 | ± | 21,856 | 1912 | ± | 2397 | 15,755 | ± | 18,524 |
Closterium setaceum | 6581 | ± | 11,399 | 0 | ± | 0 | 275,343 | ± | 376,373 |
Cosmarium cf. ocellatum | 14,818 | ± | 25,666 | 0 | ± | 0 | 4903 | ± | 4903 |
Cosmarium cf. reniforme | 9,069,413 | ± | 15,670,200 | 122,251 | ± | 75,921 | 59,273 | ± | 67,906 |
Staurastrum cf. gracile | 0 | ± | 0 | 0 | ± | 0 | 2376 | ± | 4115 |
Staurastrum sp. | 0 | ± | 0 | 2646 | ± | 1764 | ± | 3056 | |
Botryococcus braunii | 546,954 | ± | 947,351 | 35,077 | ± | 70,155 | 0 | ± | 0 |
Crucigeniella sp. | 0 | ± | 0 | 1968 | ± | 2470 | 0 | ± | 0 |
Neglectella solitaria | 267,588 | ± | 215,573 | 129,100 | ± | 88,687 | 102,720 | ± | 30,878 |
Oocystis lacustris | 34,311 | ± | 58,850 | 35,071 | ± | 33,476 | 2176 | ± | 2576 |
Chlorogonium minimum | 9256 | ± | 15,798 | 0 | ± | 0 | 1440 | ± | 1463 |
Gemellicystis planctonica | 0 | ± | 0 | 138 | ± | 276 | 0 | ± | 0 |
Gloeocystis sp. | 0 | ± | 0 | 7281 | ± | 10,402 | 0 | ± | 0 |
Golenkinia radiata | 1185 | ± | 2053 | 0 | ± | 0 | 0 | ± | 0 |
Kirchneriella lunaris | 0 | ± | 0 | 0 | ± | 49 | ± | 85 | |
Kirchneriella obesa | 0 | ± | 0 | 2388 | ± | 4776 | 0 | ± | 0 |
Microglena monadina | 0 | ± | 0 | 0 | ± | 0 | 6335 | ± | 10,972 |
Monoraphidium griffithii | 9466 | ± | 8240 | 6145 | ± | 9530 | 875 | ± | 1516 |
Monoraphidium irregulare | 0 | ± | 0 | 5957 | ± | 7030 | 25 | ± | 43 |
Nephrocitium agardhianum | 47,999 | ± | 7282 | 73,883 | ± | 92,209 | 5469 | ± | 9472 |
Palmella sp. | 0 | ± | 0 | 13 | ± | 25 | 0 | ± | 0 |
Pyramimonas sp. | 0 | ± | 0 | 177 | ± | 353 | 0 | ± | 0 |
Cryptomonas sp. | 0 | ± | 0 | 68,701 | ± | 124,834 | 83,860 | ± | 86,315 |
Anabaena sp. | 24,598 | ± | 38,568 | 283 | ± | 565 | 0 | ± | 0 |
Gomphosphaeria sp. | 0 | ± | 0 | 4793 | ± | 9585.0 | 0 | ± | 0 |
Limnococcus limneticus | 0 | ± | 0 | 49 | ± | 74 | 13 | ± | 23 |
Microcystis cf. botrys | 0 | ± | 0 | 147 | ± | 235 | 0 | ± | 0 |
Pseudanabaena sp. | 96 | ± | 167 | 0 | ± | 0 | 17 | ± | 29 |
Synechococcus sp. | 0 | ± | 0 | 0 | ± | 0 | 146 | ± | 252 |
Euglena cf. variabilis | 1401 | ± | 2427 | 19,442 | ± | 25,068 | 3503 | ± | 4375 |
Lepocinclis cf. ovum | 0 | ± | 0 | 714 | ± | 1429 | 3334 | ± | 5774 |
Trachelomonas cf. oblonga | 27,903 | ± | 48,330 | 4829 | ± | 3943 | 537 | ± | 929 |
Trachelomonas cf. planctonica | 0 | ± | 0 | 602 | ± | 1205 | 0 | ± | 0 |
Trachelomonas sp. | 0 | ± | 0 | 0 | ± | 0 | 17,529 | ± | 16,683 |
Trachelomonas volvocina | 1740 | ± | 3014 | 1827 | ± | 1251 | 0 | ± | 0 |
Gymnodinium cf. lacustre | 0 | ± | 0 | 3400 | ± | 4079 | 3626 | ± | 6281 |
Parvodinium umbonatum | 0 | ± | 0 | 118,692 | ± | 237,384 | 25,321 | ± | 43,857 |
Peridinium cf. volzii | 0 | ± | 0 | 201,648 | ± | 403,296 | 0 | ± | 0 |
Peridinium willei | 3,152,143 | ± | 5,459,671 | 91,888 | ± | 70,381 | 0 | ± | 0 |
Appendix D
Biomass (µm3/mL) of the different phytoplankton taxa recorded in La Luna.
Taxon | Dry/Warm | Rainy | Dry/Cold | ||||||
---|---|---|---|---|---|---|---|---|---|
Aulacoseira cf. alpigena | 471 | ± | 666 | 222,312 | ± | 444,624 | 0 | ± | 0 |
Cymbella sp. | 0 | ± | 0 | 298 | ± | 597 | 0 | ± | 0 |
Fragilaria crotonensis | 55,016 | ± | 34,477 | 16,146 | ± | 32,292 | 10,764 | ± | 15,640 |
Frustulia rhomboides | 0 | ± | 0 | 4333 | ± | 8666 | 0 | ± | 0 |
Pinnularia cf. viridis | 63 | ± | 109 | 0 | ± | 0 | 0 | ± | 0 |
Pinnularia subcapitata | 0 | ± | 0 | 544 | ± | 1088 | 0 | ± | 0 |
Chromulina sp. | 0 | ± | 0 | 54 | ± | 107 | 0 | ± | 0 |
Ochromonas sp. 2 | 33 | ± | 57 | 0 | ± | 0 | 0 | ± | 0 |
Temnogametum iztacalense | 113,188 | ± | 7925 | 76,930 | ± | 79,756 | 51,287 | ± | 44,416 |
Chlorella sp. | 0 | ± | 0 | 5 | ± | 10 | 0 | ± | 0 |
Oocystis lacustris | 1400 | ± | 1283 | 0 | ± | 0 | 0 | ± | 0 |
Golenkinia radiata | 0 | ± | 0 | 4333 | ± | 8666 | 0 | ± | 0 |
Pediastrum simplex | 0 | ± | 0 | 191 | ± | 383 | 0 | ± | 0 |
Cryptomonas sp. | 2580 | ± | 4469 | 0 | ± | 0 | 0 | ± | 0 |
Anabaenopsis sp. | 353 | ± | 612 | 0 | ± | 0 | 0 | ± | 0 |
Limnococcus limneticus | 0 | ± | 0 | 29 | ± | 59 | 131 | ± | 226 |
Merismopedia elegans | 1 | ± | 2 | 0 | ± | 0 | 0 | ± | 0 |
Synechocystis sp. | 0 | ± | 0 | 127 | ± | 254 | 0 | ± | 0 |
Euglena cf. variabilis | 28 | ± | 48 | 736 | ± | 867 | 0 | ± | 0 |
Euglena sp. | 1127 | ± | 1953 | 0 | ± | 0 | 0 | ± | 0 |
Trachelomonas cf. oblonga | 1073 | ± | 1859 | 0 | ± | 0 | 1610 | ± | 1610 |
Trachelomonas cf. planctonica | 160 | ± | 278 | 120 | ± | 241 | 0 | ± | 0 |
Trachelomonas sp. | 0 | ± | 0 | 0 | ± | 0 | 7381 | ± | 12,784 |
Trachelomonas volvocina | 232 | ± | 402 | 0 | ± | 0 | 0 | ± | 0 |
Ceratium cf. hirundinella | 223,650 | ± | 387,373 | 33,548 | ± | 67,095 | 0 | ± | 0 |
Gymnodinium cf. lacustre | 0 | ± | 0 | 59,003 | ± | 65,036 | 107,3336 | ± | 1,068,711 |
Gymnodinium lantzschii | 0 | ± | 0 | 339 | ± | 678 | 0 | ± | 0 |
Parvodinium umbonatum | 0 | ± | 0 | 4115 | ± | 6649 | 0 | ± | 0 |
References
1. Havens, K.E. Lake eutrophication and plankton food webs. Eutrophication: Causes, Consequences and Control; Ansari, A.A.; Gill, S.S. Springer: Dordrecht, The Netherlands, 2013; pp. 73-80.
2. Naselli-Flores, L.; Padisák, J. Ecosystem services provided by marine and freshwater phytoplankton. Hydrobiologia; 2022; 850, pp. 2691-2706. [DOI: https://dx.doi.org/10.1007/s10750-022-04795-y] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35106010]
3. Mustapha, M.K. Seasonal influence of limnological variables on plankton dynamics of a small, shallow, tropical African reservoir. Asian J. Exp. Biol. Sci.; 2010; 1, pp. 60-79.
4. Padisák, J.; Naselli-Flores, L. Phytoplankton in extreme environments: Importance and consequences of habitat permanency. Hydrobiologia; 2021; 848, pp. 157-176. [DOI: https://dx.doi.org/10.1007/s10750-020-04353-4]
5. Reynolds, C.S. The Ecology of Phytoplankton; Cambridge University Press: Cambridge, UK, 2006.
6. Winder, M.; Sommer, U. Phytoplankton response to a changing climate. Hydrobiologia; 2012; 698, pp. 5-16. [DOI: https://dx.doi.org/10.1007/s10750-012-1149-2]
7. Jacobsen, D.; Dangles, O. Ecology of High. Elevation Waters; Oxford University Press: Oxford, MS, USA, 2017.
8. Pilla, R.M.; Williamson, C.E.; Adamovich, B.V.; Adrian, R.; Anneville, O.; Chandra, S.; Colom-Montero, W.; Devlin, S.P.; Dix, M.A.; Dokulil, M.T. et al. Deeper waters are changing less consistently than surface waters in a global analysis of 102 lakes. Sci. Rep.; 2020; 10, 20514. [DOI: https://dx.doi.org/10.1038/s41598-020-76873-x]
9. Verpoorter, C.; Kutser, T.; Seekel, D.; Tranvik, L.J. A global inventory of lakes based on high-resolution satellite imagery. Geophys. Res. Lett.; 2014; 41, pp. 639-642. [DOI: https://dx.doi.org/10.1002/2014GL060641]
10. Sommaruga, R. The role of solar UV radiation in the ecology of alpine lakes. J. Photochem. Photobiol. B Biol.; 2001; 62, pp. 35-42. [DOI: https://dx.doi.org/10.1016/S1011-1344(01)00154-3] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/11693365]
11. Häder, D.-P.; Wängbergke, S.Å.; Rose, K.C.; Helbling, E.W.; Sinha, R.P.; Worrest, R.; Williamson, C.E.; Rautio, M.; Gao, K. Effects of UV radiation on aquatic ecosystems and interactions with other environmental factors. Photochem. Photobiol. Sci.; 2015; 14, pp. 108-126. [DOI: https://dx.doi.org/10.1039/c4pp90035a]
12. Hansson, L.A.; Hylander, S.; Sommaruga, R. Escape from UV threats in zooplankton: A cocktail of behavior and protective pigmentation. Ecology; 2007; 88, pp. 1932-1939. [DOI: https://dx.doi.org/10.1890/06-2038.1]
13. Tartarotti, B.; Trattner, F.; Remias, D.; Saul, N.; Steinberg, C.E.W.; Sommaruga, R. Distribution and UV protection strategies of zooplankton in clear and glacier-fed alpine lakes. Sci. Rep.; 2017; 7, 4487. [DOI: https://dx.doi.org/10.1038/s41598-017-04836-w]
14. Tolotti, M.; Thies, H.; Cantonati, M.; Tait, D. Flagellate algae (Cryptophyceae, Chrysophyceae, Dinophyceae) in 48 high mountain lakes of the Northern and Southern slope of the Eastern Alps: Diversity, distribution and driving variables. Hydrobiologia; 2003; 502, pp. 331-348. [DOI: https://dx.doi.org/10.1023/B:HYDR.0000004291.03882.f7]
15. Tolotti, M.; Manca, M.; Angeli, M.; Morabito, G.; Thaler, B.; Rott, E.; Stuchlik, E. Phytoplankton and zooplankton associations in a set of Alpine high altitude lakes: Geographic distribution and ecology. Hydrobiologia; 2006; 562, pp. 99-122. [DOI: https://dx.doi.org/10.1007/s10750-005-1807-8]
16. Straškrabová, V.; Callieri, C.; Carrillo, P.; Cruz-Pizarro, L.; Fott, J.; Hartman, P.; Macek, M.; Medina-Sánchez, J.M.; Nedoma, J.; Šimek, K. Investigations on pelagic food webs in mountain lakes—Aims and methods. J. Limnol.; 1999; 58, pp. 77-87. [DOI: https://dx.doi.org/10.4081/jlimnol.1999.77]
17. Sommaruga, R.; Psenner, R. Ultraviolet radiation in a high mountain lake of the Austrian Alps: Air and underwater measurements. J. Photochem. Photobiol.; 1997; 65, pp. 957-963. [DOI: https://dx.doi.org/10.1111/j.1751-1097.1997.tb07954.x]
18. Catalan, J.; Rondón, J.C.D. Perspective for an integrated understanding of tropical and temperate high-mountain lakes. J. Limnol.; 2016; 75, pp. 215-234. [DOI: https://dx.doi.org/10.4081/jlimnol.2016.1372]
19. Gunkel, G.; Casallas, J. Limnology of an Equatorial High Mountain Lake—Lago San Pablo, Ecuador: The Significance of Deep Diurnal Mixing for Lake Productivity. Limnologica; 2002; 32, pp. 33-43. [DOI: https://dx.doi.org/10.1016/S0075-9511(02)80015-9]
20. Cartuche Paqui, V.A. Exploring Freshwater Algal Communities in Tropical High-Altitude Lakes and Streams from Southern Ecuador. Ph.D. Thesis; Université de Genève: Geneva, Switzerland, 2020; [DOI: https://dx.doi.org/10.13097/archive-ouverte/unige:138576]
21. Criales-Hernández, M.I.; Sanchez-Lobo, D.M.; Almeyda Osorio, J.K. Expanding the knowledge of plankton diversity of tropical lakes from the Northeast Colombian Andes. Rev. De Biol. Trop.; 2020; 68, (Suppl. 2), pp. S159-S176. [DOI: https://dx.doi.org/10.15517/rbt.v68iS2.44347]
22. Luethje, M.; Mosquera, P.V.; Hampel, H.; Fritz, S.C.; Benito, X. Planktic diatom responses to spatiotemporal environmental variation in high-mountain tropical lakes. Freshw. Biol.; 2024; 69, pp. 387-402. [DOI: https://dx.doi.org/10.1111/fwb.14218]
23. Muñoz-López, C.L.; Rivera-Rondón, C.A. Diatom response to environmental gradients in the high mountain lakes of the Colombia’s Eastern Range. Aquat. Sci.; 2022; 84, 15. [DOI: https://dx.doi.org/10.1007/s00027-021-00838-z]
24. Hagemans, K.; Donders, T.H.; Nooren, K.; Scheper, I.E.E.; Stekelenburg, M.C.A.; Theunissen, M.; Minderhoud, P.S.J.; Goldenberg-Vilar, A.; León-Yánez, S.; Ormaza, M. et al. Anthropogenic activities in the páramo trigger ecological shifts in Tropical Andean lakes. Quat. Res.; 2023; 114, pp. 18-29. [DOI: https://dx.doi.org/10.1017/qua.2023.9]
25. Barta, B.; Mouillet, C.; Espinosa, R.; Andino, P.; Jacobsen, D.; Christoffersen, K.S. Glacial-fed and páramo lake ecosystems in the tropical high Andes. Hydrobiologia; 2018; 813, pp. 19-32. [DOI: https://dx.doi.org/10.1007/s10750-017-3428-4]
26. Alcocer, J.; Oseguera, L.A.; Escobar, E.; Peralta, L.; Lugo, A. Phytoplankton biomass and water chemistry in two high mountain tropical lakes in Central Mexico. Arct. Antarct. Alp. Res.; 2004; 36, pp. 342-346. [DOI: https://dx.doi.org/10.1657/1523-0430(2004)036[0342:PBAWCI]2.0.CO;2]
27. Alcocer, J.; Oseguera, L.A.; Ibarra-Morales, D.; Escobar, E.; García-Cid, L. Responses of benthic macroinvertebrate communities of two tropical, high-mountain lakes to climate change and deacidification. Diversity; 2021; 13, 243. [DOI: https://dx.doi.org/10.3390/d13060243]
28. Dimas-Flores, N.; Alcocer, J.; Ciros-Pérez, J. The structure of the zooplankton assemblages from two neighboring tropical high mountain lakes. J. Fresh Water Ecol.; 2008; 23, pp. 21-31. [DOI: https://dx.doi.org/10.1080/02705060.2008.9664554]
29. Lewis, W.M., Jr. Tropical lakes: How latitude makes a difference. Perspectives in Tropical Limnology; Schiemer, F.; Boland, K.T. SPB Academic Publishing: Amsterdam, The Netherlands, 1996; pp. 43-64.
30. Capra, L.; Norini, G.; Groppelli, G.; Macias, J.L.; Arce, J.L. Volcanic hazard zonation of the Nevado de Toluca volcano, Mexico. J. Volcanol. Geotherm. Res.; 2008; 176, pp. 469-484. [DOI: https://dx.doi.org/10.1016/j.jvolgeores.2008.04.016]
31. Rzedowski, J. Un siglo de la botánica en México. Bot. Sci.; 1981; 40, pp. 1-14. [DOI: https://dx.doi.org/10.17129/botsci.1183]
32. Ibarra-Morales, D.; Silva-Aguilera, R.A.; Oseguera, L.A.; Merino-Ibarra, M.; Alcocer, J. Impacts of global change on two tropical, high mountain lakes in Central Mexico. Sci. Total Environ.; 2022; 852, 158521. [DOI: https://dx.doi.org/10.1016/j.scitotenv.2022.158521]
33. Moreno, J.L. Fitoplancton. Manual Para la Colecta, el Manejo y las Observaciones de Campo Para Bioindicadores de la Calidad del Agua; De la Lanza, E.G.; Hernández, P. AGT Editor: Miguel Hidalgo, Mexico, 2003; pp. 43-107.
34. Wetzel, R.G.; Likens, G.E. Limnological Analyses; Springer-Verlag: Nueva York, NY, USA, 2001.
35. APHA. Standard Method for the Examination of Water and Wastewater; 16th ed. American Public Health Association: Washington, DC, USA, 1985.
36. Sun, J.; Liu, D. Geometric models for calculating cell biovolume and surface area for phytoplankton. J. Plankton Res.; 2003; 25, pp. 1331-1346. [DOI: https://dx.doi.org/10.1093/plankt/fbg096]
37. Hammer, Ø.; Harper, D.A.T.; Ryan, P.D. PAST: Paleontological Statistics Software Package for Education and Data Analysis. Palaeontol. Electron.; 2001; 4, 9.
38. Guiry, M.D.; Guiry, G.M. AlgaeBase. World-Wide Electronic Publication. National University of Ireland, Galway 2013; Available online: https://www.algaebase.org (accessed on 6 October 2024).
39. Garduño Solórzano, G.; Oliva Martínez, M.G.; Ortega, M. Algas. La Diversidad Biológica del Estado de México; Estudio de Estado; Ceballos, G.; List, R.; Garduno, G.; López Cano, R.; Muñozcano Quintanar, M.J.; Collado, E.; San Román, J.E. Gobierno del Estado de Mexico CONABIO: Mexico City, Mexico, 2009; pp. 153-161.
40. Oliva-Martínez, M.G.; Godínez-Ortega, J.L.; Zuñiga-Ramos, C.A. Biodiversidad del fitoplancton de aguas continentales en México. Rev. Mex. Biodivers.; 2014; 85, pp. 54-61. [DOI: https://dx.doi.org/10.7550/rmb.32706]
41. Novelo, E.; Tavera, R. Un panorama gráfico de las algas de agua dulce de México. Hidrobiológica; 2011; 21, pp. 333-341.
42. Catalan, J.; Camerero, L.; Felip, M.; Pla, S.; Ventura, M. High mountain lakes: Extreme habitats and witnesses of environmental changes. Limnetica; 2006; 25, pp. 551-584. [DOI: https://dx.doi.org/10.23818/limn.25.38]
43. Sommaruga, R.; Gunter, A. Seasonality in UV transparency of an alpine lake is associated to changes in phytoplankton biomass. Aquat. Sci.; 2006; 68, pp. 129-141. [DOI: https://dx.doi.org/10.1007/s00027-006-0836-3]
44. Cottenie, K. Integrating environmental and spatial processes in ecological community dynamics. Ecol. Lett.; 2005; 8, pp. 1175-1182. [DOI: https://dx.doi.org/10.1111/j.1461-0248.2005.00820.x]
45. Degefu, F.; Schagerl, M. Zooplankton abundance, species composition and ecology of tropical high–mountain crater Lake Wonchi, Ethiopia. J. Limnol.; 2015; 74, pp. 324-334. [DOI: https://dx.doi.org/10.4081/jlimnol.2014.986]
46. Cabecinha, E.; Van den Brink, P.J.; Cabral, J.A.; Cortes, R.; Lourenço, M.; Pardal, M.Â. Ecological relationships between phytoplankton communities and different spatial scales in European reservoirs: Implications at catchment level monitoring programmes. Hydrobiologia; 2009; 628, pp. 27-45. [DOI: https://dx.doi.org/10.1007/s10750-009-9731-y]
47. Beyhan, T. Phytoplankton community and ecological state of a high-mountain lake within an Important Natural Area (Eastern Black Sea, Turkey). Fundam. Appl. Limnol.; 2016; 189, pp. 51-61.
48. Belkinova, D.; Padisák, J.; Gecheva, G.; Cheshmedjiev, S. Phytoplankton based assessment of ecological status of Bulgarian lakes and comparison of metrics within the water framework directive. Appl. Ecol. Environ. Res.; 2014; 12, pp. 83-103. [DOI: https://dx.doi.org/10.15666/aeer/1201_083103]
49. Tiberti, R.; Metta, S.; Austoni, M.; Callieri, C.; Morabito, G.; Marchetto, A.; Rogora, M.; Tartari, G.A.; Von Hardenberg, J.; Provenzale, A. Ecological dynamics of two remote Alpine lakes during ice-free season. J. Limnol.; 2013; 72, 2. [DOI: https://dx.doi.org/10.4081/jlimnol.2013.e33]
50. Bayer, T.K.; Schallenberg, M.; Burns, C.W. Contrasting controls on phytoplankton dynamics in two large, pre-alpine lakes imply differential responses to climate change. Hydrobiologia; 2016; 771, pp. 131-150. [DOI: https://dx.doi.org/10.1007/s10750-015-2625-2]
51. Ibarra-Morales, D.; Alcocer, J.; Oseguera, L.A.; Sosa-Echeverríaet, R. Bulk deposition and main ionic composition in a remote tropical region: Nevado de Toluca, Mexico. Water Air Soil Pollut.; 2020; 231, 413. [DOI: https://dx.doi.org/10.1007/s11270-020-04785-7]
52. Buchaca, T.; Catalan, J. Nonlinearities in phytoplankton groups across temperate high mountain lakes. J. Ecol.; 2024; 112, pp. 755-769. [DOI: https://dx.doi.org/10.1111/1365-2745.14267]
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
High-mountain lakes (HMLs) are remote, extreme, and sensitive ecosystems recognized as sentinels of global change. Lakes El Sol and La Luna are very close to each other inside the crater of the Nevado de Toluca volcano, but they differ morphometrically and limnologically. This study aimed to identify the seasonal fluctuation of the phytoplankton communities of these two tropical HMLs. El Sol phytoplankton comprised 50 taxa (chlorophytes, diatoms, charophytes) and La Luna 28 taxa (diatoms, euglenoids). The abundance of phytoplankton in El Sol was three times higher than in La Luna, and the biomass in El Sol was five times higher than in La Luna. Tropical seasonality was reflected differently in each lake. In El Sol, the highest phytoplankton abundance occurred in the rainy season, while the highest biomass was recorded in the dry/warm season. Conversely, in La Luna, abundance and biomass were more prominent in the dry/cold season. The study found that no meteorological or limnological factors could explain the seasonal dynamics of the taxonomic richness, abundance, or biomass of the phytoplankton communities in both lakes. The differences between the lakes are likely due to the more extreme conditions of La Luna, such as lower pH, ultra-oligotrophy, and increased exposure to ultraviolet radiation (UVR). Additionally, the introduction of rainbow trout into El Sol in the 1950s may have also contributed to the differences.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer