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Spatiotemporal variations of zooplankton community in a shallow tropical brackish lagoon (Sontecomapan, Veracruz, Mexico)

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We studied the relationships between zooplankton distribution and environmental and trophic factors (abiotic variables, nutrients, bacterial biomass, and chlorophyll pigments) from three sampling surveys carried out during the three hydrological seasons (rainy, dry, and norte) in a tropical coastal lagoon connected to the sea.


Twenty eight (28) of the 54 taxa recorded were identified to species level, of which 3 genera of Cladocera were observed for the first time in the lagoon. Season-specific differences were highly significant. The overall zooplankton abundance was significantly higher during the dry season (157,000 ind.m−3) than those during the rainy and norte surveys (means of 11,600 and 16,700 ind.m−3 respectively). Copepoda (mostly nauplii) was the most abundant group (>83%) of total zooplankton abundance.


Multivariate (coinertia) and multilinear regression analyses showed that transparency, salinity, temperature, pH, and food availability (Chl a, b, and c) were the main determinants of zooplankton abundance, composition, and diversity, explaining the seasonal differences. The relatively low zooplankton density in the lagoon compared to other eutrophic lagoons is attributed to the combined effects of high water exchanges, low depth, and high transparency, which favor instability and vulnerability to UV effects and/or to visual predation.


Coastal lagoons are often considered as hot spots for biodiversity and are among the most productive ecosystems in the world due to higher nutrient inputs from their catchment basin. However, they are considered as one of the most affected environments by anthropogenic activities (Kemp and Boynton [2012]). Increased anthropogenic activities may accelerate the eutrophication process leading to dystrophic crises and/or irreversible deterioration (Bartoli et al. [2001]). These highly productive and vulnerable ecosystems are subjected to a strong variability at both spatial and temporal scale (Marinov et al. [2008]) and need to be protected and managed rationally to continue to play their ecological and socio-economic role.

Zooplankton is considered as a sensitive tool for monitoring environmental changes in these lagoons because its sensitivity to trophic (Marcus [2004]; Pinto-Coelho et al. [2005]) and salinity conditions (Kibirige and Perissinotto [2003]; Santangelo et al. [2007]) and its considerable fluctuations induced by abiotic and biotic factors (Naumenko [2009]). Zooplankton also constitutes one of the main subsystems in water bodies, transferring energy from autotrophic organisms or microzooplankton to higher trophic levels and regulating sedimentation and cycling of nutrients (nitrogen, phosphorus, carbon) (Eyre [2000]; Eyre and McKee [2002]; Lassalle et al. [2013]). It also includes larvae of nektonic and benthic animals having a part of their life cycle in the plankton, and this meroplankton may be economically very important in coastal and lagoon waters (David et al. [2006]; Kirby et al. [2008]). Thus, any change in the composition and functioning of the zooplankton community affects the state of the whole ecosystem. The patterns and processes of zooplankton spatial and temporal distribution are thus important prerequisite for ecosystem modeling and rational management of coastal lagoons. Traditionally, plankton seasonality is assumed to be less prominent in low-latitude than in high-latitude environments due to the dampened fluctuations in both irradiance and temperature in the tropical zone. However, many tropical or sub-tropical aquatic ecosystems are sensitive to seasonal variations in hydrology due to annual cycles of precipitation; this seasonality occurs both directly through flushing and indirectly through hydrological effects on nutrient cycling by particle resuspension and run-off (De Senerpont et al. [2013]).

In Mexico, 111 coastal lagoons have been registered (Contreras [1993]); however, detailed studies on the zooplankton dynamics are still scarce. Some works confined to only one taxonomic group; for example, the distribution of freshwater rotifers are well documented (Rico-Martinez and Silva-Briano [1993]; Nandini et al. [2008]), as where copepods in coastal (Álvarez-Silva and Gómez-Aguirre [2000]; Pantaleón-López et al. [2005]; Álvarez-Cadena et al. [2009]), marine, and inland waters (Suárez-Morales and Reid [1998]; Suárez-Morales [2004]; Suárez-Morales et al. [2011]). Those studies that include the dynamics of the brackish zooplankton (Escamilla et al. [2001]; Pantaleón-López et al. [2005]; De Silva-Davila et al. [2006]) usually omit the smaller taxonomic groups like rotifers. Until now, only two published papers are available at species level for rotifers and cladocerans from Mexican brackish waters (Mecoacan lagoon (Sarma et al. [2000]) and Sontecomapan lagoon (Castellanos-Páez et al. [2005])). More recently, two works have been published about the rotifers diversity of inland saline waters contributing to 22 new records from Mexico (Wallace et al. [2005], [2008]).

In summary, the importance of abiotic and biotic forces and that of the biophysical coupling in structuring planktonic communities has been demonstrated in many aquatic systems all over the world (Pinel-Alloul and Ghadouani [2007]). However, the patterns and processes of zooplankton spatial and temporal distribution are poorly known in Mexican coastal lagoons.

The purposes of the present work were (1) to test whether the variability of abiotic (transparency, pH, salinity, temperature, etc.) and biotic (composition and abundance of microbial components) factors can significantly drive the seasonal and spatial patterns of zooplankton in shallow tropical coastal lagoons and (2) to contribute filling the knowledge gap about the zooplankton dynamics in mexican lagoons.


The Sontecomapan lagoon is a tropical coastal lagoon located on the coast of Veracruz State, in the Gulf of Mexico (18° 30′ to 18° 34′ N y 94° 47′ to 95° 11′ W) (Figure 1). The lagoon has an area of 12 km length and 1.5 km width with an average depth of 1.5 m and a maximum depth of 7 m at the mouth. It is permanently connected to the Gulf of Mexico. High spatiotemporal salinity fluctuation is recorded due to differential intrusion of freshwater and seawater. There are three hydrological seasons: rainy, dry and ‘norte’ (strong winds from the North). During the rainy season (June to October), the lagoon receives a continuous freshwater inflow from small rivers. In contrast, at the peak of the dry season (January to May), the lagoon shows marine salinities. During the norte season (November to December), the lagoon displays intermediate conditions and behaves like a brackish water body (Aké-Castillo and Vázquez [2008], [2011]).

Figure 1

Sontecomapan coastal lagoon map, showing the ten sampling stations.

Three sampling surveys, covering a network of 10 stations having different characteristics (see Figure 1, Table 1) were realized in March (26 to 29), June (11 to 14), and November (19 to 22) 2010 corresponding to dry, rainy, and norte seasons, respectively. During each survey, the ten stations were sampled one time for environmental variables, bacterial abundance, chlorophyll concentration, and zooplankton. All sampling and measurements were performed during the day (between 9:00 a.m. and 04:00 p.m.).

Table 1 Geographic location of sampling sites, median composition of the sediment, and coefficient of pollution

Sediment composition

The percentage of sand, silt, and clay in the inorganic fraction of sediments was measured according to the standard Bouyoucos procedure. First, the samples were treated with sodium hexametaphosphate to complex Ca2+, Al3+, Fe3+, and other cations that bind clay and silt particles into aggregates. The density of the soil suspension was determined with a hydrometer calibrated to read in grams of solids per liter after the sand settles down and again after the silt settles (Bouyoucos [1962]). The organic matter content was determined by standard method (Walkey and Black [1934]).

Water column abiotic variables

The transparency was measured using a Secchi disk. Water samples were collected at two levels (near the bottom and in subsurface) with a Van Dorn bottle. Several measurements were made immediately after the collection: temperature and pH were measured with a portable pH meter Centronics model 49 (±0.01) (Centronics, Hudson, New Hampshire, USA), salinity with a portable refractometer (Speer 300011, Speer, Scottsdale, AZ, USA) and concentration of dissolved oxygen was determined using the Winkler method (Strickland and Parsons [1972]). Subsamples were preserved at −11°C for subsequent analyses of nutrients [phosphate (PO4 3−), ammonium (NH4), nitrite (NO2), and nitrate (NO3-)], according to standard Hach protocols 8190, 10023, 10205, and 8192, respectively.

Biotic variables

In order to determine the bacterial abundance and biomass, samples of 10 ml were preserved with formaldehyde borato-buffered (2% final concentration) and stored in dark at 4°C. From each sample, 1 ml were stained in the dark with 4,6-diamidino-2-phenylindole (DAPI; 1.8 mg l−1 final concentration) (Porter and Feig [1980]) and filtered on 0.22 mm black polycarbonate filters. The filters that contain the samples were mounted on slides and stored frozen until analysis. The bacterial enumeration was done using the photomicrographies taken under UV excitation in an Olympus BX-50 epifluorescence microscope (Olympus Corporation, Shinjuku-ku, Japan) and a Lumenera camera (Ottawa, ON, Canada). For each filter, 20 random fields of 250 μm−2 were analyzed in the Image Pro Plus 7.1. All cells were counted and measured to calculate cell volumes (μm3) and then were converted to cell carbon (pg C cell−1) using conversion carbon of 0.35 pg C μm3 for heterotrophic bacteria (Bjørnsen [1986]). The carbon biomasses were estimated by multiplying the cell carbon by their abundances.

To analyze the photosynthetic chlorophyll pigment (Chl a, b, c 1, and c 2), 1 l water (previously filtered through 64 μm net) was passed through a glass fiber filter (GF/C Whatman, Maidstone, UK). At the end of the filtration, 0.2 ml of MgCO3 suspension was added to the final few milliliters to prevent the pigment deterioration and stored for a few hours in a dark and cool place (4°C).

The chlorophyll pigments extraction was done following the method of Vernick and Hayward ([1984]), and the calculations for determination of chlorophyll was made according to the equations of Jeffrey and Humphrey ([1975]).


The zooplankton was collected using a cylindro-conical net (64 μm in mesh opening size, 30 cm in mouth diameter, and 1 m in length). Samples were preserved with 4% formalin. Species identification was made according to Koste ([1978]) and Segers ([1995]) for rotifers and Rose ([1933]), Tregouboff and Rose ([1957]), Carli and Crisafi ([1983]), Suárez-Morales and Elías-Gutiérrez ([2000]), Suárez-Morales ([2004]), and Razouls et al. ([2005–2013]) for copepods and other taxonomical groups. The taxa were identified and counted under an optical microscope Olympus BMX50 and dissecting microscope Nikon SMZ500 (Nikon, Chiyoda, Tokyo, Japan), respectively. Zooplankton densities, expressed as numbers per cubic meter, were calculated by dividing the number of organisms estimated in each sample by the volume of water filtered in the field (cylinder defined by the net opening area and the length of the drag). The taxonomic diversity was estimated using the Shannon index calculated without taking in account the copepod nauplii, which included miscellaneous species.

Data processing

Two-way analyses of variance (ANOVAs, with a general linear model) were performed to test the effects of sampling survey (dry season, rainy season, and norte), stations, and their interactions on the biotic and abiotic parameters and on zooplankton. Tukey's post hoc test of honest significant difference (HSD) was also performed to compare the mean group values.

Stepwise multiple regression analyses were conducted to explain the variability in zooplankton distribution. Relationships were tested between zooplankton parameters (total abundance, abundances of the main groups, and species), abiotic (transparency, temperature, salinity, oxygen), and biotic (bacterial abundance and biomass, chlorophyll a, b, and c) parameters.

The spatial and seasonal variability of environmental variables and zooplankton communities was assessed using multivariate analysis after data transformation (log + 1). To avoid the effects of underrepresentative species, a procedure was used to select taxa from the faunistic list based on their contribution to the population diversity as expressed by the Shannon diversity index (Lam-Hoai et al. [2006]). Only those taxa making a contribution to the index higher than 0.6% were considered (e.g., 28 taxa over the 54 identified). For environmental variables, mean bottom subsurface values were considered, and additionally, we considered the difference between bottom and surface values for salinity and oxygen as proxy for stratification status.

The analysis was realized using two data sets: the first one featured the abundances of zooplankton taxa and the second one the environmental and trophic variables. Factorial correspondence analysis (FCA) and principal component analysis (PCA) were performed on these two data sets, respectively. The results of the two analyses were associated through a coinertia analysis (Doledec and Chessel [1994]). Analyses were performed using ADE4 software (Thioulouse et al. [1997]).


Sediment composition

The Sontecomapan lagoon shows a high variability of sediment composition (Table 1). There was an important variation of the percentage of organic matter content (OM). Station 8 presented the lowest OM percentage (0.1%) and could be classified as extremely poor according to Walkey and Black ([1934]) classification. It was followed by stations 2 (0.4%) and 7 (0.6%) typified as very poor and poor, respectively, whereas stations 9 (1.8%) and 10 (1.6%) reached medium contents. Station 3 (3.5%) was considered as very rich, and stations 1 (8.3%) and 5 (4.6%) as extremely rich in organic matter.

The mineral fraction was dominated by sands in stations 2, 5, 7, 8, 9, and 10 (>75%), while fine fractions (silts and clays) were relatively important in stations 1 (36%) and 3 (55%).

Water column abiotic variables

Statistical descriptors and seasonal (survey) variations for environmental parameters are shown in Table 2. Mean bottom surface values were considered.

Table 2 Variations in environmental parameters

Water transparency varied between 25 to 380 cm representing 19% to 100% of the total water column depth, but, despite high variability, showed no significant difference between stations or surveys (ANOVA, p > 0.05).

Temperature varied between 23.2°C and 28.6°C and displayed significantly higher values during the rainy season than during the two other surveys (ANOVA, p < 0.05) but showed no significant difference between stations (p = 0.78).

Salinity varied between 2 and 32 according to the stations and the surveys (Figure 2A). It displayed significantly higher mean value during the dry season (17.9) than during the rainy (10.4) and the norte (11) surveys (ANOVA, p <0.05). There was a high variability between stations, with lowest values always recorded at station 1 (Figure 2A). Difference between surface and bottom salinity varied between 0 and 32 (Figure 2B) and displayed no significant variation between stations or surveys (ANOVA, p > 0.05). However, very high values (>15) occurred at stations 2 and 7 during the dry season and at stations 3, 6, and 9 during the norte survey.

Figure 2

Spatial variability of (A) water column salinity, (B) salinity bottom surface difference, and (C) pH.

The pH varied between 6.61 and 8.98 and was significantly higher during the norte survey than during the two other ones (ANOVA, p <0.05). Besides, mean pH values at stations 1 and 7 were significantly lower than at the other stations (Figure 2C).

Dissolved oxygen varied between 2.52 and 6.5 mg l−1 (Table 2) with difference between surface and bottom values ranging between 0.1 and 3.8 mg l−1. None of these variables displayed significant variation between stations or surveys (ANOVA, p > 0.05).

Nitrites displayed very low values ranging from 0 to 0.03 mg l−1 and showed no significant difference between surveys (ANOVA, p > 0.05) (Table 2). Nitrates showed significant higher values during the rainy season (mean = 1.21 mg l−1, with values up to 3 mg l−1) than during the two other surveys (<0.3 mg l−1) (Figure 3A). In contrast, ammonium concentration was significantly higher during the dry season (mean = 0.6 mg l−1, with values up to 1.2 mg l−1) than during the two other surveys (<0.1 mg l−1) (Figure 3B). None of these nitrogen nutrients displayed significant difference between stations.

Figure 3

Spatial variability of (A) nitrates, (B) ammonium, and (C) phosphates in the water column.

Phosphate concentration was significantly lower during the dry season (<0.2 mg l−1) than during the two other surveys (mean = 1.73 and 1.87 mg l−1 in the rainy and norte seasons, respectively), but these differences were mainly linked to stations 1, 3, 4, 8, and 9 while very low values were observed at stations 2, 7, and 10 during the three surveys (Figure 3C).

Biotic variables

Bacterial density and biomass ranged from 0.67 to 8.3 × 106 cell ml−1 and from 0.7 to 9.3 μg.C.m−3, respectively. They were significantly higher during the norte survey than during the two other ones (ANOVA, p < 0.05), while there was no significant difference between stations.

Except at station 1, chlorophyll a content was the highest (up to 18.3 μg l−1) during the rainy survey and lowest (up to 1.6 μg l−1) during the norte (Table 2, Figure 4A). Chlorophyll b showed no significant difference between stations or surveys (ANOVA, p > 0.05). However, stations 1 to 4 displayed lower chlorophyll b values during the rainy survey than during the two other ones, while a reverse trend was observed at stations 5 to 9 (Figure 4B). Chlorophyll c displayed significantly higher values during the dry season survey (mean = 4.0 μg l−1, with values up to 9.6 μg l−1) surveys than during the rainy and the norte surveys (mean = 1.4 and 0.3 μg l−1, respectively). Station-specific differences in chlorophyll c content was not significant (ANOVA, p > 0.05); however, chlorophyll c value was consistently lower at stations 2, 3, and 4 (<1 μg l−1, Figure 4C).

Figure 4

Spatial variability of (A) chlorophyll a , (B) chlorophyll b , and (C) chlorophyll c 1 and c 2 .


Fifty-five zooplankton taxa were enumerated in the 10 stations during the 3 surveys (Table 3). They included 21 rotifers, 17 copepods (including miscellaneous nauplii) 3 cladocerans, 7 miscellaneous other holoplanktonic groups (ostracods, polychaetes, nematods, appendicularians, chaetognaths hydrachnida, and water mites), and 6 meroplankton taxa (polychaete, fish, chironomid, gastropod, bivalve, cirriped, and decapod larvae).

Table 3 Seasonal abundances and abundance percentage of the zooplanktonic taxa identified

The number of taxa per sample varied between 2 (station 4, norte survey) and 24 (station 2, dry season survey) (Figure 5A) and was significantly higher during the dry and rainy surveys than during the norte survey, while no significant difference was recorded between stations.

Figure 5

Spatial variability of (A) number of zooplankton taxa (B) Shannon diversity index and (C) total zooplankton abundance.

Shannon diversity index varied between 0 and 3.8 bit ind−1 and was significantly higher during the dry and rainy surveys than during the norte survey (Figure 5B). It was also significantly lower at stations 3 and 4 than in all other stations.

Total zooplankton abundance varied between 280 and 1,300,000 ind.m−3 (Figure 5C) and showed no significant difference between stations or surveys (ANOVA, p > 0.05). However, stations 7, 8, and 9 always displayed very low abundances (<3,600 ind.m-3) while stations 4, 6, and 10 during the dry season survey and station 3 during the norte survey displayed the highest abundances (>60,000 ind.m−3).

Copepods were the most important group representing 31.1% to 99.7% of the total zooplankton abundance and nauplii (25.3% to 99.5%) mainly contributed to this dominance (Table 3).

The top two highly abundant copepod species were Acartia tonsa and Oithona nana, which were present in more than 80% of the samples and represented up to 100% and 77% of the non-naupliar copepod abundance, respectively. Paracalanus aculeatus (43% occurrence and up to 37% abundance), Euterpina acutifrons (20% and up to 3%), and Pseudodiaptomus sp. (17% and up to 29%) were also rather well represented while the other species were scarce (<10% occurrence).

Other holoplanktonic organisms were less important, rotifers, cladocerans, and miscellanous other groups representing less than 19%, 2%, and 37% of the total zooplankton abundance, respectively.

Among rotifers, only one species, Brachionus plicatilis, was present in more than 50% of the samples. Lecane bulla (23%), Synchaeta oblonga (17%), Testudinella patina (17%), Platyas quadricornis (13%), and Synchaeta bicornis (13%).

Cladocerans were represented by one marine species (Penilia avirostris) and two freshwater (Chydorus sp. and Ceriodaphnia sp.) species.

The other holplankton with an occurrence frequency >10% were nematods (37% occurrence), ostracods (30%), hydrachnids (27%), water mites (23%), and appendicularians (17%).

Meroplankton was present in all samples, except at station 10 during the rainy survey, and represented up to 19% of the total zooplankton abundance. It was mainly represented by cirriped, gastropod, and polychaete larvae (>70% occurrence). Decapod (23% occurrence), chironomids (20%), bivalve (13%), and fish (7%) larvae were less represented.

The relative percentages of copepods, rotifers, and meroplankton showed no significant difference between stations or surveys (ANOVA, p > 0.05). The percentage of other holoplanktonic groups was significantly higher during the rainy survey than during the two other ones (p = 0.046), but this was mainly due to the relative importance of appendicularia and nematoda (14% to 37%) at stations 7, 8, and 9 where they compensated relatively low percentages of copepods (36% to 78%).

Multiple regression analysis

When considering the whole data set for the three surveys (n = 30), the water transparency had positive effects on diversity (Shannon index), but had negative relationships with total zooplankton, copepods, copepod nauplii, and A. tonsa (Table 4). Temperature had positive effects on marine rotifers (B. plicatilis and S. bicornis). Salinity had positive effects on total zooplankton, A. tonsa, and marine rotifers. pH had negative relationships with the number of taxa per sample, A. tonsa, and freshwater rotifers. Contrasted effects were shown for the three different chlorophyll forms (a, b, and c). Chlorophyll a had positive effects on copepod, copepod nauplii, and A. tonsa. Chlorophyll b had positive effects on taxonomic richness (number of taxa) and on freshwater rotifers but negative effects on abundances of total zooplankton, copepods, nauplii, and A. tonsa. Chlorophyll c had negative relationship with freshwater rotifers. When considering the three surveys separately (n = 10), most of the preceding relationships were not significant (Table 4).

Table 4 Equation parameters of the multiple linear regression models

Multivariate analysis (coinertia)

The first factorial plane of the coinertia analysis explained 57% of the variance, of which 34% were attributed to the first axis and 23% to the second.

In both ‘environment’ and ‘zooplankton’ structures, axis 1 showed a distinction between the rainy season (R1 to R10 but particularly R8) and the two other surveys (N and D) (Figure 6A). R samples were characterized by high NO3, NO2 temperature, transparency, depth, and chlorophyll a values (Figure 6B). They were also associated with several taxa: Appendicularia, Oncaea venusta, Corycaeus spp., S. oblonga, and S. bicornis (Figure 6A). N and D samples were correlated with environmental (NH4, salinity, pH, bacterial biomass) and zooplankton variables (L. quadridentata, L. bulla, T. patina, P. quadricornis, gastropod larvae). The second axis mainly opposed the N samples (particularly N1) to the D samples (except D2 and D3) (Figure 6D). The N samples were characterized by high PO4 and chlorophyll b values, by high oxygen gradients (d Oxy), and by harpacticoid copepod (Canuella sp.). The D samples were characterized by high salinity, depth, transparency, and chlorophyll c values and by coastal marine or brackishwater zooplankton taxa: A. tonsa, P. aculeatus, E. acutifrons, B. plicatilis, and polychaete larvae.

Figure 6

Co-inertia analysis. Ordination on the plan (1, 2) of taxa (A) and environmental variables (B) and plots of the sampling points on the first (C) and second (D) axes of the two systems. The line represents the equality between the coordinates on the two systems. Symbols are in Tables 2 and 3. dSal and dOxy are salinity and oxygen differences between surface and bottom. Symbols of sampling points the letters N, R, or D (for norte, rainy, or dry surveys) followed by the station number.


Environmental and trophic context

Our study highlighted high time and space variability of abiotic and biotic variables in the Sontecomapan lagoon. This can be linked to the shallowness of the lagoon (up to 7 m in the main channel and 0.4 to 2.5 m for the sampled stations in our study) and to the high influence of permanent exchanges with the ocean and of seasonal freshwater inflows. The exchanges with the ocean through the permanently opened pass are conditioned by tidal influence which must be important, as tidal amplitudes were 1.03, 0.87, and 0.83 m during the dry, rainy, and norte surveys, respectively ( [2013]). Despite no data is available on the residence time, we can suppose that the water renewal linked to tidal-driven exchanges was globally important in the major part of the lagoon, as suggested by the low percentages of organic matter and fine particles (silt and clays) in the sediment, except at station 3 situated in a slack water zone (see Figure 1).

The fresh water inflow comes mainly from three small rivers (La Palma, Basura, and Sabalo), and despite no data is available on their flows, we can consider that their influence is seasonally important as we observed significant salinity decrease during the rainy survey. Besides these, freshwater inputs presumably provoked important nitrate increase during the rainy season and local pH decrease near the mouth of the rivers, down to <7 at stations 1 and 7 (Basura and La Palma rivers).

Tidal exchanges with the ocean and seasonal fresh water inputs in this shallow lagoon explain the high variability in abiotic and biotic variables thus causing season-specific differences. During the rainy survey (June), high nutrient concentrations (mainly NO3) probably stimulated phytoplankton production explaining the high chlorophyll a concentration. During the dry and norte surveys, high salinity and pH illustrated the resalinization of the lagoon linked to the scarcity of freshwater inputs. During the dry season survey, high ammonium concentration and high bacterial biomass suggested remineralization processes through the microbial loop and the excretion of planktonic organisms. At this period, high chlorophyll c concentration also suggested a specific phytoplankton community characterized by chrysophytes, cryptophytes, diatoms, and dinoflagellates according to the diagnostic for phytoplankton functional groups in natural estuarine and coastal communities (Paerl et al. [2003]). In contrast, norte season was characterized by higher PO4 values (and thus lower N/P ratios), perhaps explaining another phytoplankton community as suggested by higher chlorophyll b values characterized more by euglenophytes and prasinophytes (Paerl et al. [2003]). Aké-Castillo and Vázquez ([2008]) have recorded 179 phytoplankton taxa (mainly diatoms and dinoflagellates) in the Sontecomapan lagoon and the three rivers draining into it. They also found peaks of phytoplankton abundance (2,226.47 cell ml−1) during the rainy season.

In a complex lagoon system, the variability of the nutrient concentration and composition may also result from the diversity of the input sources. In Sontecomapan, only the litterfall of mangrove forest (Rhizophora mangle) represents significant loads of organic matter available for decomposition (1.1 Kg.m−2) (Aké-Castillo et al. [2006]) and which may contribute to phytoplankton dynamics (Aké-Castillo and Vázquez [2008]). But nutrients are cycled by a variety of biogeochemical processes (Eyre [2000]; Eyre and McKee [2002]), where bacteria are key in controlling the trophic linkages in aquatic ecosystems (Bianchi [2007]).

Nevertheless, in terms of environmental conditions, the three study periods in Sontecomapan can be distinguished either on salinity conditions or on the basis of the nutrient and trophic status leading to different phytoplankton assemblages and thus different trophic condition for zooplankton.

Composition and abundance of zooplankton

This was the first complete study dealing with all the zooplankton groups in Sontecomapan. The taxonomic composition described in the present work is typical of brackish water zooplankton assemblages (Ferrari et al. [1982]; Arfi et al. [1987]; Étile et al. [2009]). It has also similar characteristics with other Mexican coastal lagoons of the Yucatan Peninsula on the Gulf of Mexico (Chelem lagoon, Escamilla et al. [2001]; Bojorquez lagoon, Álvarez-Cadena et al. [1996]; Nichupté lagoon, Álvarez-Cadena et al. [2007]). All these studies in Caribbean Mexican lagoons reported the dominance of copepods and A. tonsa, probably due to wider mesh size of zooplankton nets (200 or 330 vs. 64 μm in this study) neither the importance of Oithona species or the occurrence of rotifers was dealt.

Between the identified groups of zooplankton, the rotifers were the most diverse (21 species belonging to 8 families), due to the fresh water influence in the lagoon. Contrastingly, this phylum represented only 3.7% of the freshwater species reported for the neotropical region (Segers [2008]) and 5.7% of total species recorded from Mexico (Benitez Diaz-Mirón, unpubl. data). The rotifer richness in Sontecomapan in the present study is low compared to the 250 species expected in tropical freshwater bodies (Segers [2008]). It is also low as compared to the 60 species reported previously for the Sontecomapan lagoon (Castellanos-Páez et al. [2005]). Besides, we found only 12 species of this previous investigation, while we reported 9 species for the first time in the lagoon, changing the current rotifer inventory to 69 species. This rotifer taxa richness is higher than the 37 taxa reported by (Sarma et al. [2000]), in another brackish lagoon in Mexico (Mecoacan, Tabasco). In this lagoon, these authors reported only one cladoceran species (Moina minuta) which is also lower than the three cladoceran species identified in our study (Ceriodaphnia sp., Chydorus sp., and P. avirostris).

After the rotifers, the copepods were the most diverse group in our study, 15 free living copepods taxa were identified (see Table 3), of which 4 are recorded for the first time in coastal lagoons of the state of Veracruz (O. nana, Canuella sp., Phenna sp., and Tisbe sp.), according to the list of 23 species by Álvarez-Silva and Gómez-Aguirre ([2000]). Around 100 freshwater and 479 marine copepod species have been determined in Mexican waters (Elías-Gutiérrez et al. [2008]). The number of brackish species is still very small, as most studies about brackish copepods were oriented towards the description of new species or first records (Barranco-Ramírez and Gómez [2001]; Gómez [2006]; Morales-Serna and Gómez [2008]) or to inventories of host-parasite copepods (Morales-Serna et al. [2012]).

The most abundant copepods identified in the present work, A. tonsa (Dana), is a calanoid copepod species having a cosmopolitan distribution, being the dominant copepod in many subtropical and temperate coastal marine and estuarine areas (Peck and Holste [2006]). As in our study, it has been often found coexisting with O. nana (Richard and Jamet [2001]; Delpy et al. [2012]).

Low zooplankton densities were also reported for other shallow Mexican Caribbean lagoon by Álvarez-Cadena et al. ([1996]) and Escamilla et al. ([2001]).

To explain these low zooplankton densities, different hypotheses can be advanced on the light of our results. A first hypothesis is linked to the instable conditions for zooplankton related to high variability of environmental and trophic conditions associated to the shallowness of the lagoon and the combined influence of freshwater and marine inputs (see Discussion above). Accordingly, several studies have shown negative impacts of disturbance or instability of hydrological, abiotic, and trophic conditions on zooplankton (Eckert and Walz [1998]; Gascon et al. [2007]). A second hypothesis is linked to the negative correlations between transparency and total or more abundant (nauplii, copepods, A. tonsa) zooplankton suggested (i) negative effect to the UV radiation (Leech and Williamson [2001]) and (ii) vulnerability of zooplankton to visual predation (Williamson et al. [2011]). This should be particularly problematic in very shallow ecosystems, such as Sontecomapan, where transparency reach up to the bottom in most situations and, scarcity of vegetation (submerged or floating macrophytes), imply lack of refuges for zooplankton against these threats. In contrast, some of the highest zooplankton densities (>3,000,000 ind.m−3) reported for tropical coastal lagoons were observed in Imbossica Lagoon (Brazil), which is a turbid ecosystem with a highly macrophyte colonized littoral zone (Kozlowsky-Suzuki and Bozelli [2004]). Besides, the scarcity of cladocerans in the Sontecomapan lagoon (only three species and <2% abundance) agree with the hypothesis of negative impact of light conditions. In laboratory experiments, cladocerans (Daphnia spp.) were shown to be less UV-tolerant than copepods or rotifers regardless of the UVR transparency of their source lake (Leech et al. [2005]). Additionally, cladocerans have been shown to be very sensitive to visual predation (Vinyard [1980]; Ramcharan et al. [2009]).

Factors controlling zooplankton community

In this study, the relationship between biotic or abiotic conditions and zooplankton clearly appeared in the multiple regression analysis (see Table 4) and in the coinertia analysis, which discriminated the three seasons on the basis of both environmental and zooplankton data sets (see Figure 6). The biotic processes in aquatic ecosystems could be acting separately or in tandem with abiotic forces in structuring planktonic communities at scales relevant to organisms, populations, and ecosystems (Gal et al. [2013]).

As suggested by the results of the multivariate analysis, transparency (associated with salinity) probably drove the differences observed between zooplankton communities during the dry and norte surveys. Taxa of marine origin were associated to the more transparent waters during the dry season, while meiobenthic forms (the harpacticoid copepod Canuella sp) characterized the zooplankton during the more turbid norte survey. At this period, the presence of meiobenthic organisms in the plankton can be explained by the occurrence of strong winds driving wind resuspension of sediment and the mixing of meiobenthic forms with the plankton as also observed in other shallow coastal ecosystems (Lawrence et al. [2004]).

The role of pH in structuring the seasonal variations of zooplankton clearly appeared in the coinertia analysis through its tight relationships with the community characterizing the norte and dry surveys. The pH was also negatively correlated to the taxonomic richness or to the abundance of A. tonsa and freshwater rotifers. The sensitivity of freshwater rotifers to high pH values has been evidenced in several studies (Bērzinš and Pejler [1987]). Only few studies examined the relationships between pH and copepod species. Similar to our results, Chew and Chong ([2011]) found negative relationship between pH and several estuarine Acartia species.

Temperature showed significant positive relationships with abundance of marine rotifers. The positive influence of temperature on zooplankton in temperate conditions is well documented [e.g., meta-analyze in Sweden waterbodies (Bērzinš and Pejler [1989])], but in tropical areas, due to the lower range variation, the role of temperature is less evident despite increases in zooplankton abundance during the warmest periods have been also documented (Azevedo and Bonecker [2003]; Kâ et al. [2012]).

The role of salinity also appeared as driving the differences between the three seasonal surveys as well as through positive correlations with A. tonsa and marine rotifers. The highest salinity occurred during the dry survey when the zooplankton community was characterized by organisms such as the copepods Acartia tonsa, P. aculeatus, E. acutifrons, the rotifer B. plicatilis, and polychaete larvae which are very common in coastal oceanic areas or in coastal lagoons (David et al. [2007]). Acartia and Paracalanus species as well as E. acutifrons generally constitute the bulk of the copepod community in most coastal lagoons (Carli and Crisafi [1983]). Populations of A. tonsa persist in both coastal marine waters as well as within estuaries having low salinity [e.g., 4 psu, Gulf of Finland, Baltic Sea (Katajisto et al. [1998])]. They can be also abundant in coastal lagoons within a wide salinity range [e.g., 5 to 36 psu; Berre Lagoon, south of France, Mediterranean (Delpy et al. [2012])], despite that it was demonstrated that this species shows high mortalities responding to high changes of salinity [>10 to 15 psu (Cervetto et al. [1999])]. The role of salinity in shaping rotifer communities has also been demonstrated (Malekzadeh Viayeh and Špoljar [2012]).

The role of phytoplankton abundance and composition in structuring the zooplankton community appeared in the coinertia analysis through the association of the different forms of chlorophyll (a, b, and c) with the zooplankton communities of the three seasonal surveys. It was also evidenced in the regression analysis through (i) the positive relationships between chlorophyll a and copepods, nauplii, or A. tonsa, (ii) the relationships of chlorophyll b with total zooplankton, copepods, nauplii, or A. tonsa (<0) and with taxonomic richness, diversity or freshwater rotifers (>), and (iii) the negative relationship of chlorophyll c with rotifers.

Negative or positive correlations between zooplankton parameters and the different forms of chlorophyll (a, b, or c) suggest the importance of phytoplankton composition and abundance for the distribution and abundance of zooplankton. Variations in the proportion and abundance of edible and inedible (or toxic) phytoplankton food particles are known to drive variations in zooplankton composition and abundance (Pont [1995]). Here, the clear seasonal variations of the chlorophyll forms (Figure 4) reveal variations in phytoplankton assemblages and thus variations in food composition and abundance for herbivorous zooplankton.

High chlorophyll a, the most common pigment contained in all photosynthetic algae and cyanobacteria (Paerl et al. [2003]), reflects abundance of the most edible phytoplankton forms for zooplankton, such as chlorophytes and diatoms. Its positive relationship with A. tonsa and copepod nauplii suggests a clear food dependence for copepods in Sontecomapan. Food dependence of copepods (and Acartia species) has been observed in other eutrophic coastal lagoons (Cervetto et al. [1993]; Pagano et al. [2003]). The association of high chlorophyll a with appendicularians during the rainy survey (coinertia analysis, Figure 6) also reflects the high feeding efficiency of these organisms on phytoplankton (up to almost 1 L ind−1 day−1) (Fernandez et al. [2004]; Lombard et al. [2009]). Besides, the association of appendicularians with O. venusta and Corycaeus spp. can be explained by the feeding behavior of these two cyclopid copepods, which can use small particles aggregated on settling appendicularian houses (Turner [2004]).

Negative relationships between chlorophyll b or chlorophyll c and zooplankton (see Table 4) may reflect importance of inedible or toxic forms in the available phytoplankon. Chlorophyll c (and particularly the forms c 1 and c 2 considered in this study) is characteristic of dinoflagellates and diatoms, of which several species may be toxic to zooplankton (Granéli and Turner [2006]). However, the absence of concomitant data on phytoplankton composition does not allow us to draw further conclusion.

The partial regression analysis did not show any direct relationship between zooplankton parameters and the bacterial biomass. Bacteria can be punctually an alternative direct or indirect carbon source for the zooplankton, mainly for the rotifers (Agasild and Nõges [2005]), as observed in other windy and shallow ecosystems. In a shallow subtropical bay in Florida, wind events were shown to inject dissolved and particulate benthic materials into the water column, where they directly stimulated the bacterioplankton, phytoplankton, and zooplankton community (Lawrence et al. [2004]). It has been observed that B. plicatilis can consume up to 36% of the bacterial production while only <1% can be harvested by the metazooplankton when copepods are dominant (Bouvy et al. [1994]). Generally, the bacterioplankton is not associated positively to the copepods due to their low feeding efficiently on small particles. Nevertheless, small cyclopoid nauplii (such as O. nana) have been shown to ingest (and prefer) very small particles [2 to 5 μm, (Böttjer et al. [2010])] and thus can represent an important trophic link between the classical and microbial food webs.


Our study highlighted spatiotemporal variability in zooplankton abundance and composition in relation to high variability of abiotic and trophic context in the Sontecomapan Lagoon. Spatial patterns could not be detected for most variables, but clear differences were recorded among the three seasons. These differences were mainly explained by water transparency, salinity, temperature, pH, and food availability (Chl a, b, and c as proxy for phytoplankton abundance and composition), which can be considered as the main structuring forces for the zooplankton in the lagoon.

Combined effects of high water exchange, low depth, and high transparency may explain the relatively lower zooplankton density in the lagoon (compared to other eutrophic lagoons) by favoring instability and vulnerability to UV effects and/or to visual predation.


  1. Agasild H, Nõges T: Cladoceran and rotifer grazing on bacteria and phytoplankton in two shallow eutrophic lakes: in situ measurement with fluorescent microspheres. J Plankton Res 2005,27(11):1155–1174.

  2. Aké-Castillo JA, Vázquez G: Phytoplankton variation and its relation to nutrients and allochthonous organic matter in a coastal lagoon on the Gulf of Mexico. Estuar Coast Shelf Sci 2008,78(4):705–714. 10.1016/j.ecss.2008.02.012

  3. Aké-Castillo JA, Vázquez G: Peridinium quinquecorne var. trispiniferum var. nov. (Dinophyceae) from a brackish environment. Acta Botánica Mexicana 2011, 94: 125–140.

  4. Aké-Castillo J, Vázquez G, López-Portillo J: Litterfall and decomposition of Rhizophora mangle L. in a coastal lagoon in the Southern Gulf of Mexico. Hydrobiologia 2006,559(1):101–111.

  5. Álvarez-Cadena JN, Islas-Landeros ME, Suárez-Morales E: A preliminary zooplankton survey in a Mexican Caribbean eutrophic coastal lagoon. Bull Mar Sci 1996,58(3):694–708.

  6. Álvarez-Cadena JN, Ordóñez-López U, Valdés-Lozano D, Almaral-Mendívil AR, Uicab-Sabido A: Estudio anual del zooplancton: composición, abundancia, biomasa e hidrología del norte de Quintana Roo, mar Caribe de México. Rev Mex Biodivers 2007, 78: 421–430.

  7. Álvarez-Cadena JN, Ordoñez-López U, Almaral-Mendivil AR, Uicab-Sabido A: Composition and abundance of zooplankton groups from a coral reef lagoon in Puerto Morelos, Quintana Roo, Mexico, during an annual cycle. Rev Biol Trop 2009,57(3):647–658.

  8. Álvarez-Silva C, Gómez-Aguirre S: Updated list of copepods (Crustacea) of the coastal lagoons from Veracruz. Hidrobiologica 2000,10(2):161–168.

  9. Arfi R, Pagano M, Saint Jean L: Zooplankton communities in a tropical lagoon (Ebrie Lagoon, Cote d’Ivoire): time-space variations communautes zooplanctoniques dans une lagune tropicale (la lagune Ebrie, Cote d’Ivoire). Rev Hydrobiol Trop 1987,20(1):21–35.

  10. Azevedo F, Bonecker CC: Community size structure of zooplanktonic assemblages in three lakes on the upper River Paraná floodplain, PR-MS, Brazil. Hydrobiologia 2003, 505: 147–158. 10.1023/B:HYDR.0000007303.78761.66

  11. Barranco-Ramírez E, Gómez S: Supplementary description and illustrated record of Monstrilla gibbosa Suárez-Morales & Palomares-García, 1995 (Copepoda, Monstrilloida) from Sinaloa, Mexico. Crustaceana-International Journal of Crustacean Research 2001,74(11):1279–1290. 10.1163/15685400152885237

  12. Bartoli M, Castaldelli G, Nizzoli D, Gatti LG, Viaroli P: Benthic fluxes of oxygen, ammonium and nitrate and coupled-uncoupled denitrification rates within communities of three different primary producer growth forms. In Mediterranean ecosystems. Edited by: Faranda FM, Guglielmo L, Spezie GC. Springer, Milan; 2001:225–233. doi:10.1007/978–88–470–2105–1-29 10.1007/978-88-470-2105-1_29

  13. Bērzinš B, Pejler B: Rotifer occurrence in relation to pH. Hydrobiologia 1987,147(1):107–116.

  14. Bērzinš B, Pejler B: Rotifer occurrence in relation to temperature. Hydrobiologia 1989,175(3):223–231. 10.1007/BF00006092

  15. Bianchi TS: Biogeochemistry of estuaries. Oxford University Press, New York; 2007.

  16. Bjørnsen PK: Automatic determination of bacterioplankton biomass by image analysis. Appl Environ Microbiol 1986,51(6):1199–1204.

  17. Böttjer D, Morales CE, Bathmann U: Trophic role of small cyclopoid copepod nauplii in the microbial food web: a case study in the coastal upwelling system off central Chile. Mar Biol 2010,157(4):689–705. 10.1007/s00227-009-1353-4

  18. Bouvy M, Arfi R, Guiral D, Pagano M, Saint-Jean L: Role of bacteria as food for zooplankton in a eutrophic tropical pond (Ivory Coast). Netherland Journal of Aquatic Ecology 1994,28(2):167–174. 10.1007/BF02333987

  19. Bouyoucos GJ: Hydrometer method improved for making particle size analysis of soil. Agron J 1962, 54: 464–465. 10.2134/agronj1962.00021962005400050028x

  20. Carli A, Crisafi P: Copepodi lagunari. Guide per il riconoscimento delle specie animali delle acque lagunari e costiere iltliane. Consiglio Nazionale delle Ricerche Italy. 1983.

  21. Castellanos-Páez ME, Garza-Mourino G, Ferrara-Guerrero MJ: Rotifers (Rotifera) of Sontecomapan, Veracruz, a coastal lagoon of Mexico. Scientiae Naturae 2005,8(1):15–27.

  22. Cervetto G, Gaudy R, Pagano M, Saint Jean L, Verriopoulos G, Arfi R, Leveau M: Diel variations in Acartia tonsa feeding, respiration and egg production in a Mediterranean coastal lagoon. J Plankton Res 1993,15(11):1207–1228. 10.1093/plankt/15.11.1207

  23. Cervetto G, Gaudy R, Pagano M: Influence of salinity on the distribution of Acartia tonsa (Copepoda, Calanoida). J Exp Mar Biol Ecol 1999,239(1):33–45. 10.1016/S0022-0981(99)00023-4

  24. Chew LL, Chong VC: Copepod community structure and abundance in a tropical mangrove estuary, with comparisons to coastal waters. Hydrobiologia 2011,666(1):127–143. 10.1007/s10750-010-0092-3

  25. Contreras F: Ecosistemas costeros mexicanos. 1st edition. Universidad Autónoma Metropolitana Unidad Iztapalapa, Mexico; 1993.

  26. David V, Sautour B, Galois R, Chardy P: The paradox high zooplankton biomass–low vegetal particulate organic matter in high turbidity zones: what way for energy transfer? J Exp Mar Biol Ecol 2006,333(2):202–218.

  27. David V, Sautour B, Chardy P: Successful colonization of the calanoid copepod Acartia tonsa in the oligo-mesohaline area of the Gironde estuary (SW France)–natural or anthropogenic forcing? Estuar Coast Shelf Sci 2007,71(3):429–442. 10.1016/j.ecss.2006.08.018

  28. De Senerpont LN, Elser JJ, Gsell AS, Huszar VLM, Ibelings BW, Jeppesen E, Kosten S, Mooij WM, Roland F, Sommer U, Van Donk E, Winder M, Lürling M: Plankton dynamics under different climatic conditions in space and time. Freshw Biol 2013,58(3):463–482.

  29. De Silva-Davila R, Palomares-Garcia R, Zavala-Norzagaray A, Escobedo-Urias DC: Annual cycle of the zooplankton dominant groups in Navachiste. Sinaloa. Instituto de Ciencias del Mar y Limnologia, UNAM, Mazatlan (Mexico); 2006.

  30. Delpy F, Pagano M, Blanchot J, Carlotti F, Thibault-Botha D: Man-induced hydrological changes, metazooplankton communities and invasive species in the Berre Lagoon (Mediterranean Sea, France). Mar Pollut Bull 2012,64(9):1921–1932. 10.1016/j.marpolbul.2012.06.020

  31. Doledec S, Chessel D: Co-inertia analysis: an alternative method for studying species - environment relationships. Freshw Biol 1994,31(3):277–294. 10.1111/j.1365-2427.1994.tb01741.x

  32. Eckert B, Walz N: Zooplankton succession and thermal stratification in the polymictic shallow Muggelsee (Berlin, Germany): a case for the intermediate disturbance hypothesis? Hydrobiologia 1998, 387: 199–206. 10.1023/A:1017045927016

  33. Elías-Gutiérrez M, Suárez-Morales E, Gutiérrez-Aguirre M, Silva-Briano M, Granados J, Garfias T: Cladocera y Copepoda de las aguas continentales de México. ECOSUR/UNAM-Iztacala/CONABIO/CONACYT, México; 2008.

  34. Escamilla JB, Suárez-Morales E, Gasca R: Zooplankton distribution during opposite tidal directions in the Chelem lagoon complex, Yucatan, Mexico. Rev Biol Trop 2001,49(1):47–51.

  35. Étile RN, Kouassi AM, Aka MN, Pagano M, N’Douba V, Kouassi NJ: Spatio-temporal variations of the zooplankton abundance and composition in a West African tropical coastal lagoon (Grand-Lahou, Côte d’Ivoire). Hydrobiologia 2009,624(1):171–189.

  36. Eyre BD: Regional evaluation of nutrient transformation and phytoplankton growth in nine river-dominated sub-tropical east Australian estuaries. Mar Ecol Prog Ser 2000,205(61):83.

  37. Eyre BD, McKee LJ: Carbon, nitrogen, and phosphorus budgets for a shallow subtropical coastal embayment (Moreton Bay, Australia). Limnol Oceanogr 2002,47(4):1043–1055. 10.4319/lo.2002.47.4.1043

  38. Fernandez D, Lopez Urrutia A, Fernandez A, Acuna JL, Harris R: Retention efficiency of 0.2 to 6 μm particles by the appendicularians Oikopleura dioica and Fritillaria borealis. Mar Ecol Prog Ser 2004, 266: 89–101. 10.3354/meps266089

  39. Ferrari I, Ceccherelli VU, Mazzocchi MG: Structure du zooplankton dans deux lagunes du Delta du Pô. Oceanologica Acta V 1982, 4: 293–302.

  40. Gal G, Skerjanec M, Atanasova N: Fluctuations in water level and the dynamics of zooplankton: a data-driven modelling approach. Freshw Biol 2013,58(4):800–816.

  41. Gascon S, Brucet S, Sala J, Boix D, Quintana XD: Comparison of the effects of hydrological disturbance events on benthos and plankton salt marsh communities. Estuar Coast Shelf Sci 2007,74(3):419–428. 10.1016/j.ecss.2007.04.031

  42. Gómez S: Description of Kelleria reducta sp. nov. (Copepoda, Cyclopoida, Kelleriidae) from a brackish system in northwestern Mexico. Crustaceana 2006,79(7):879–892.

  43. Granéli E, Turner JT: Ecology of harmful algae. Ecological studies, Springer-Verlag, Berlin-Heidelberg; 2006.

  44. Jeffrey SW, Humphrey GF: New spectrophotometric equations for determining chlorophylls a , b , and c , in higher plants, algae and natural phytoplankton. Biochem Physiol Pflanz 1975, 167: 191–194.

  45. Kâ S, Mendoza-Vera JM, Bouvy M, Champalbert G, N’Gom-Kâ R, Pagano M: Can tropical freshwater zooplankton graze efficiently on cyanobacteria? Hydrobiologia 2012,679(1):119–138.

  46. Katajisto T, Viitasalo M, Koski M: Seasonal occurrence and hatching of calanoid eggs in sediments of the northern Baltic Sea. Mar Ecol Prog Ser 1998, 163: 133–143. 10.3354/meps163133

  47. Kemp MW, Boynton WR: Synthesis in estuarine and coastal ecological research: what is it, why is it important, and how do we teach it? Estuar Coasts 2012, 35: 1–22. 10.1007/s12237-011-9464-9

  48. Kibirige I, Perissinotto R: The zooplankton community of the Mpenjati Estuary, a South African temporarily open/closed system. Estuar Coast Shelf Sci 2003,58(4):727–741.

  49. Kirby RR, Beaugrand G, Lindley JA: Climate-induced effects on the meroplankton and the benthic-pelagic ecology of the North Sea. Limnol Oceanogr 2008,53(5):1805. 10.4319/lo.2008.53.5.1805

  50. Koste W: Rotatoria Die Rodertiere Mitteleuropas begründet von Max Voigt. - Mongononta B. Borntraeger, Stuttgart; 1978.

  51. Kozlowsky-Suzuki B, Bozelli RL: Resilience of a zooplankton community subjected to marine intrusion in a tropical coastal lagoon. Hydrobiologia 2004,522(1–3):165–177. 10.1023/B:HYDR.0000029970.81767.e5

  52. Lam-Hoai T, Guiral D, Rougier C: Seasonal change of community structure and size spectra of zooplankton in the Kaw River estuary (French Guiana). Estuar Coast Shelf Sci 2006,68(1–2):47–61.

  53. Lassalle G, Lobry J, Le Loc’h F, Mackinson S, Sanchez F, Tomczak MT, Niquil N: Ecosystem status and functioning: searching for rules of thumb using an intersite comparison of food-web models of Northeast Atlantic continental shelves. ICES J Mar Sci 2013,70(1):135–149. 10.1093/icesjms/fss168

  54. Lawrence D, Dagg MJ, Liu HB, Cummings SR, Ortner PB, Kelble C: Wind events and benthic-pelagic coupling in a shallow subtropical bay in Florida. Mar Ecol Prog Ser 2004, 266: 1–13. 10.3354/meps266001

  55. Leech DM, Williamson CE: In situ exposure to ultraviolet radiation alters the depth distribution of Daphnia. Limnol Oceanogr 2001,46(2):416–420. 10.4319/lo.2001.46.2.0416

  56. Leech DM, Williamson CE, Moeller RE, Hargreaves BR: Effects of ultraviolet radiation on the seasonal vertical distribution of zooplankton: a database analysis. Archiv Fur Hydrobiologie 2005,162(4):445–464. 10.1127/0003-9136/2005/0162-0445

  57. Lombard F, Renaud F, Sainsbury C, Sciandra A, Gorsky G: Appendicularian ecophysiology I. Food concentration dependent clearance rate, assimilation efficiency, growth and reproduction of Oikopleura dioica. J Mar Syst 2009,78(4):606–616. 10.1016/j.jmarsys.2009.01.004

  58. Malekzadeh Viayeh R, Špoljar M: Structure of rotifer assemblages in shallow waterbodies of semi-arid northwest Iran differing in salinity and vegetation cover. Hydrobiologia 2012,686(1):73–89.

  59. Marcus N: An overview of the impacts of eutrophication and chemical pollutants on copepods of the coastal zone. Zool Stud 2004,43(2):211–217.

  60. Marinov D, Zaldívar JM, Norro A, Giordani G, Viaroli P: Integrated modelling in coastal lagoons: Sacca di Goro case study. Hydrobiologia 2008,611(1):147–165.

  61. Morales-Serna FN, Gómez S: First record and redescription of Tisbella pulchella (Copepoda: Harpacticoida) from the eastern tropical Pacific. Rev Mex Biodivers 2008, 79: 103–116.

  62. Morales-Serna FN, Gomez S, De Leon G-P: Parasitic copepods reported from Mexico. Zootaxa 2012, 3234: 43–68.

  63. Nandini S, Merino-Ibarra M, Sarma SSS: Seasonal changes in the zooplankton abundances of the reservoir Valle de Bravo (State of Mexico, Mexico). Lake Reserv Manag 2008,24(4):321–330.

  64. Naumenko EN: Zooplankton in different types of estuaries (using Curonian and Vistula estuaries as an example). Inland Water Biol 2009,2(1):72–81.

  65. Paerl HW, Valdes LM, Pinckney JL, Piehler MF, Dyble J, Moisander PH: Phytoplankton photopigments as indicators of estuarine and coastal eutrophication. Bioscience 2003,53(10):953–964. 10.1641/0006-3568(2003)053[0953:PPAIOE]2.0.CO;2

  66. Pagano M, Kouassi E, Saint Jean L, Arfi R, Bouvy M: Feeding of Acartia clausi and Pseudodiaptomus hessei (Copepoda : Calanoida) on natural particles in a tropical lagoon (Ebrie, Cote d'Ivoire). Estuar Coast Shelf Sci 2003,56(3–4):433–445. 10.1016/S0272-7714(02)00193-2

  67. Pantaleón-López B, Aceves A, Castellanos IA: Distribution and abundance of zooplankton of the lagoon system Chacahua-La Pastoria, Oaxaca, Mexico. Rev Mex Biodivers 2005,76(1):63–70.

  68. Peck MA, Holste L: Effects of salinity, photoperiod and adult stocking density on egg production and egg hatching success in Acartia tonsa (Calanoida: Copepoda): optimizing intensive cultures. Aquaculture 2006,255(1):341–350. 10.1016/j.aquaculture.2005.11.055

  69. Pinel-Alloul B, Ghadouani A (2007) Spatial heterogeneity of planktonic microorganisms in aquatic systems. In: Franklin RB, Mils AI (eds) The spatial distribution of microbes in the environment. Springer Netherlands, pp 203–310

  70. Pinto-Coelho R, Pinel-Alloul B, Méthot G, Havens KE: Crustacean zooplankton in lakes and reservoirs of temperate and tropical regions: variation with trophic status. Can J Fish Aquat Sci 2005,62(2):348–361. 10.1139/f04-178

  71. Pont D: Le zooplancton herbivore dans les chaînes alimentaires pélagiques. In Limnologie Générale. Edited by: Pourriot R, Meybeck M. Masson, Collection d’Ecologie, Paris; 1995:515–540.

  72. Porter KG, Feig YS: The use of DAPI for identifying and counting aquatic microflora. Limnol Oceanogr 1980,25(5):943–948.

  73. Ramcharan C, Pangle KL, Peacor SD: Light-dependent predation by the invertebrate planktivore Bythotrephes longimanus. Can J Fish Aquat Sci 2009,66(10):1748–1757. 10.1139/F09-133

  74. Razouls C, de Bovée F, Kouwenberg J, Desreumaux N: Diversité et répartition géographique chez les Copépodes planctoniques marins. 2005–2013.

  75. Richard S, Jamet J-L: An unusual distribution of Oithona nana Giesbrecht (1892) (Crustacea: Cyclopoida) in a bay: the case of Toulon Bay (France, Mediterranean Sea). J Coast Res 2001,17(4):957–963.

  76. Rico-Martinez R, Silva-Briano M: Contribution to the knowledge of the Rotifera of Mexico. Hydrobiologia 1993,255(256):467–474. 10.1007/BF00025875

  77. Rose M: Faune de France 26. Copépode pélagiques Paris. 1933.

  78. Santangelo JM, De M Rocha A, Bozelli RL, Carneiro LS, De A Esteves F: Zooplankton responses to sandbar opening in a tropical eutrophic coastal lagoon. Estuar Coast Shelf Sci 2007,71(3–4):657–668.

  79. Sarma SSS, Nandini S, Ramirez Garcia P, Cortes Munoz JE: New records of brackish water Rotifera and Cladocera from Mexico. Hidrobiologica 2000,10(2):121–124.

  80. Segers H: The Lecanidae (Monogononta). Guides to identification of microinvertebrates of continental waters of the World. SPB Academic Publishers, Amsterdam; 1995.

  81. Segers H: Global diversity of rotifers (Rotifera) in freshwater. Hydrobiologia 2008,595(1):49–59.

  82. Strickland JH, Parsons TR: A practical handbook of seawater analysis. Fisheries Research Bulletin 1972, 167: 21–26.

  83. Suárez-Morales E: A new species of Eucyclops Claus (Copepoda: Cyclopoida) from Southeast Mexico with a key for the identification of the species recorded in Mexico. Zootaxa 2004, 617: 1–18.

  84. Suárez-Morales E, Elías-Gutiérrez M: Two new Mastigodiaptomus (Copepoda, Diaptomidae) from southeastern Mexico, with a key for the identification of the known species of the genus. J Nat Hist 2000,34(5):693–708.

  85. Suárez-Morales E, Reid JW: An updated list of the free-living freshwater copepods (Crustacea) of Mexico. Southwest Nat 1998,43(2):256–265.

  86. Suárez-Morales E, Gutierrez-Aguirre MA, Mendoza F: The Afro-Asian cyclopoid Mesocyclops aspericornis (Crustacea: Copepoda) in eastern Mexico with comments on the distribution of exotic copepods. Rev Mex Biodivers 2011,82(1):109–115.

  87. (2013), (2013)

  88. Thioulouse J, Chessel D, Dole’dec S, Olivier J-M: ADE-4: a multivariate analysis and graphical display software. Stat Comput 1997,7(1):75–83.

  89. Tregouboff G, Rose M: Manuel de planctonologie méditerranéenne. Centre National de la Recherche Scientifique, Paris; 1957.

  90. Turner JT: The importance of small planktonic copepods and their roles in pelagic marine food webs. Zool Stud 2004,43(2):255–266.

  91. Vernick E, Hayward T: Determining chlorophyll on the 1984 CALCOFI surveys. California Cooperative Oceanic Fisheries Investigations Report 1984, 25: 74–79.

  92. Vinyard GL: Differential prey vulnerability and predator selectivity: effects of evasive prey on bluegill (Lepomis macrochirus) and pumpkinseed (L. gibhosus) predation. Can J Fish Aquat Sci 1980, 37: 2294–2299. 10.1139/f80-276

  93. Walkey A, Black IA: An examination of the Degtjareff method for determining organic carbon in soils: effect of variations in digestion conditions and of inorganic soil constituents. Soil Sci 1934, 63: 251–263. 10.1097/00010694-194704000-00001

  94. Wallace RL, Walsh EJ, Arroyo ML, Starkweather PL: Life on the edge: rotifers from springs and ephemeral waters in the Chihuahuan Desert, Big Bend National Park (Texas, USA). Hydrobiologia 2005,546(1):147–157.

  95. Wallace RL, Walsh EJ, Schröder T, Rico-Martínez R, Rios-Arana JV: Species composition and distribution of rotifers in Chihuahuan Desert waters of Mexico: is everything everywhere? Verh Internat Verein Limnol 2008, 30: 73–76.

  96. Williamson CE, Fischer JM, Bollens SM, Overholt EP, Breckenridge JK: Toward a more comprehensive theory of zooplankton diel vertical migration: integrating ultraviolet radiation and water transparency into the biotic paradigm. Limnol Oceanogr 2011,56(5):1603–1623. 10.4319/lo.2011.56.5.1603

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The authors are thankful for the financial support contributed by the program of cooperation France-Mexico ECOS-ANUIES 2010–2014. MIBDM is thankful for the scholarship granted by the CONACyT (227103/46776) for the degree of Doctor in Biological Sciences and Health that she obtained. We are grateful to the two anonymous referees for their time and effort which helped us to substantially improve the manuscript.

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Correspondence to Marcela I Benítez-Díaz Mirón.

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Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

MIBDM, MECP and GGM conceived and designed the study. MIBDM and GGM participated in the field sampling and carried out the laboratory analysis. MECP helped in drafting the manuscript. GGM supported the taxonomic determinations of rotifers. MJFG provided advice for bacterial quantification. MP participated in the taxonomic identification of copepods, analysis of data and drafting the manuscript. All authors read and approved the final manuscript.

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Benítez-Díaz Mirón, M.I., Castellanos-Páez, M.E., Garza-Mouriño, G. et al. Spatiotemporal variations of zooplankton community in a shallow tropical brackish lagoon (Sontecomapan, Veracruz, Mexico). Zool. Stud. 53, 59 (2014) doi:10.1186/s40555-014-0059-6

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  • Sontecomapan
  • Zooplankton
  • Brackish lagoon
  • Shallow lagoon
  • Environmental factors