Home Influence of mesoscale eddies on the spring phytoplankton groups in the Southern Gulf of Mexico
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Influence of mesoscale eddies on the spring phytoplankton groups in the Southern Gulf of Mexico

  • José Manuel González-Fernández

    José Manuel González-Fernández is a professor of biology at the National Autonomous University of Mexico. He is also a doctoral student in the biological and health sciences programme at the Autonomous Metropolitan University of Mexico. His doctoral research focuses on the ecology of marine dinoflagellates from Gulf of Mexico.

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    , Ruth Luna-Soria

    Ruth Luna-Soria has an MSc in biology from the Faculty of Sciences, Universidad Nacional Autónoma de México. Her major skills include ecology and taxonomy of phytoplankton from the Gulf of Mexico.

    , Héctor Mauricio Alexander-Valdés , Elizabeth Durán-Campos

    Elizabeth Durán-Campos earned a Ph.D. in biological sciences (2015) from the Autonomous Metropolitan University of Mexico. She does research in plankton ecology and physical/biological interactions both coastal and oceanic environments.

    , Erik Coria-Monter

    Erik Coria-Monter has a Ph.D. in biological sciences from the Autonomous Metropolitan University (UAM) of Mexico and is Professor at the National Autonomous University of Mexico (UNAM). His research is focused on plankton ecology, trophic ecology, and physical/biological interactions in marine ecosystems.

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    and Adolfo Gracia

    Adolfo Gracia has a Ph.D. in Biology and is Professor at the National Autonomous University of Mexico (UNAM). His research is focused on marine ecology, deep sea oceanography, fishery resources, benthic ecology, and impact of oil pollution in marine ecosystems. He has conducted several research projects to monitor the health of ecosystems in the Gulf of Mexico.

Published/Copyright: December 10, 2024

Abstract

In this study, we analyzed the abundance and distribution of eight major phytoplankton groups and their relationship to hydrography and nutrient concentrations in oceanic waters of the southern Gulf of Mexico based on 63 stations sampled during April and May 2017. At each location, a CTD/Rosette system configured with Niskin bottles was used to acquire high-resolution hydrographic data and collect water samples at standard depths for chemical determination (nutrients and chlorophyll-a) and identification of phytoplankton cells. Cold and warm cores corresponding to cyclonic/anticyclonic eddies were recorded, which influenced the vertical and horizontal distributions of nutrients and chlorophyll-a. In terms of phytoplankton, Dinophyceae was the most abundant group, accounting for 454,160 cells l−1. Phytoflagellates recorded 171,939 cells l−1; Cyanophyceae 50,720 cells l−1; Bacillariophyceae 25,457 cells l−1; Haptophyta 15,851 cells l−1; and Silicoflagellata 7,940 cells l−1. The two groups with the lowest abundances were Raphidophyceae and Chlorophyceae, with 1,557 and 882 cells l−1, respectively. The vertical distributions and abundances of the eight groups showed different patterns. Three main large regions of high abundance (>10,000 cells l−1) coincided with nutrient-rich cold cores, particularly in the southern portion. Each phytoplankton group is related to specific hydrographic and chemical parameters.

1 Introduction

Owing to its complex bathymetry, hydrodynamics, and high biological productivity levels, the Gulf of Mexico (GoM) is currently recognized as one of 64 Large Marine Ecosystems in the world (Sherman and Hempel 2009). The high biological productivity of the GoM includes numerous emblematic species with high ecological and economic value (e.g., tuna, sharks, and shrimp), whose presence is closely related to the production that occurs at the lowest levels of the trophic web, particularly phytoplankton (Durán-Campos et al. 2017). The GoM is also characterized by high levels of primary and secondary production, as well as the refuge, breeding, and feeding habitats of numerous species. The Gulf also hosts numerous ecologically important ecosystems, including coral reefs, seagrass meadows, and mangrove forests, which support high species richness (Correia et al. 2022). Along the coasts of the southern Gulf in the states of Veracruz, Tabasco, and Campeche, there are many large coastal lagoons whose dynamics influence the open waters of the GoM and represent refuge, breeding, and feeding habitats for numerous species, some of which are endangered (Brito et al. 2017). Economically, significant oil and gas extraction activities are still being conducted within the GoM. Additionally, the gulf supports important fisheries with high commercial value (e.g., shrimp, tuna, and sharks). Together, these activities provide important monetary income and jobs for thousands of people living on the coast of the GoM (Lopes et al. 2018).

Phytoplankton include a highly heterogeneous group of microorganisms that are distributed in the euphotic layer of all the world’s oceans, responsible for more than 50 % of the net primary production of the globe (Simon et al. 2009). Autotrophic phytoplankton provide numerous ecosystem services, including oxygen release and carbon dioxide uptake through photosynthesis, and are the base of the marine trophic web, supporting the production of numerous species, including fishes with high commercial value, which sustain numerous fisheries around the world (Ratnarajah et al. 2023). Besides, due to the ability to respond quickly to multiple environmental stressors, phytoplankton has been named as a “sentinel” of climate change (Bellacicco et al. 2020).

Studies on the phytoplankton communities in the GoM have remarked on its high ecological importance, and to date, research on this group of organisms has been carried out using different approaches, including those that have evaluated the ideal conditions (in terms of light) for phytoplankton to carry out the processes of photosynthesis (Coria-Monter et al. 2021), bioassays to determine nitrogen and phosphorus phytoplankton growth limitation (Turner and Rabalais 2013), the impact of some hydrodynamic processes (e.g., eddies) on their composition and abundance (Aldeco et al. 2009; Durán-Campos et al. 2017; Salas-de-León et al. 2004), taxonomic composition in coastal environments of the gulf (Aké-Castillo and Vázquez 2008; Licea et al. 2011, 2017), the dynamics of phytoplankton related to freshwater discharge (Bargu et al. 2019; Signoret et al. 2006), phytoplankton community structure on the continental margins (Qian et al. 2003), physical-biological models to analyze phytoplankton variability (Fennel et al. 2011), and studies that have evaluated the seasonal response of the major phytoplankton groups to the environmental variability in southeastern coast of the gulf (Gómez-Figueroa et al. 2023).

All of these studies have been very helpful in understanding key ecological aspects and identifying that the production, composition, abundance, and distribution of phytoplankton within the GoM is extremely heterogeneous and is directly linked to physiological rates (e.g., photosynthesis, respiration, growth), trophic interactions (e.g., grazing), and hydrodynamic aspects (e.g., eddies, internal waves, hydraulic jumps); however, the vast majority of these studies are dispersed and have been mainly conducted in waters shallower than 1,500 m.

A few studies in the deep region of the GoM have analyzed the composition and distribution patterns of different fractions of phytoplankton. For example, Gómez et al. (2018) showed large spatial differences in phytoplankton productivity along the Gulf, with a clear seasonal variability in the diatom biomass distribution patterns related to the physical processes of the region that induced horizontal advection, vertical mixing, and biomass losses due to zooplankton grazing. Linacre et al. (2015) analyzed the picoplankton distribution patterns during winter, showed that Prochlorococcus spp. was the dominant primary producer and represented more than 60 % of the total biomass, indicating that their distribution patterns depend on the changes in the hydrographic properties and nutrient concentrations induced by mesoscale eddies. Later, in agreement with a previous study, Linacre et al. (2019) concluded that Prochlorococcus spp. contributed with 50 % of the total depth-integrated carbon biomass of the picoplankton in the deep region of the Gulf during the summertime. More recently, Linacre et al. (2021) evaluated the cell carbon content and the biomass of 46 genera of dinoflagellates and 37 genera of diatoms concluding that, on average, diatoms contained 40 % more carbon per cell than dinoflagellates. The authors emphasized the need for multidisciplinary research in the deep area of the GoM, considering that despite the fact that the study of phytoplankton communities began decades ago, there are still gaps in the knowledge of the distribution of phytoplankton communities and their relationship with the physical environment, particularly in the deep region of the GoM, which is relevant to the current global warming context.

In this scenario, this study aimed to assess the distribution of eight phytoplankton groups in the southern GoM and evaluate their relationship with the physical environment during springtime through a multidisciplinary oceanographic research cruise carried out onboard the R/V Justo Sierra operated by the National Autonomous University of Mexico from April 21 to May 15, 2017.

2 Materials and methods

2.1 Study area

The GoM is the largest marginal sea in North America, with an extent of 1.6 million km2 (Figure 1), shared by three countries (Mexico, Cuba, and the United States of America). Its bathymetry is complex (up to a depth of 3,900 m), including submarine canyons, abyssal plains, escarpments, and a wide continental shelf, both in the north (Florida) and south (Yucatan) (Goff et al. 2016) (Figure 1).

Figure 1: 
Gulf of Mexico: (a) map with the main features of the circulation pattern such as the presence of the loop current that enters the Gulf between Cuba and the Yucatan peninsula and the presence of eddies, both cyclonic (C) and anticyclonic (A); (b) map with the sampling stations considered in this study. Bathymetry is shown in m.
Figure 1:

Gulf of Mexico: (a) map with the main features of the circulation pattern such as the presence of the loop current that enters the Gulf between Cuba and the Yucatan peninsula and the presence of eddies, both cyclonic (C) and anticyclonic (A); (b) map with the sampling stations considered in this study. Bathymetry is shown in m.

The GoM is an extremely dynamic region characterized by a loop current that enters the Gulf through the Yucatan channel, forming a meander that leaves the Gulf through the Florida Strait. The Loop current releases a series of eddies (mainly anticyclonic) that move west and collide with the coasts of Veracruz and Tamaulipas (Díaz-Flores et al. 2017). During this displacement, these eddies modify the physical and chemical characteristics of the water column, thereby affecting phytoplankton communities (Linacre et al. 2015). Additional hydrodynamic processes occur inside the GoM at different scales that strongly influence planktonic ecosystems, including internal waves (Santiago-Arce and Salas-de-León 2012) and mesoscale cyclonic eddies (Durán-Campos et al. 2017).

In climatic terms, three main seasons are recognized in the GoM, 1) the “Nortes” season, which occurs from November to February, characterized by the presence of strong winds (up to 80 km h−1) that cross the GoM from north to south, exerting an outstanding influence in the surface and subsurface layers of the gulf, 2) the dry season, from March to May, when the evaporation levels are maximum, modifying the surface salinity levels, and 3) the rainy season, which occurs from June to October, when the contribution of freshwater to the gulf of the main river systems (e.g. Grijalva-Usumacinta) substantially modifies the hydrographic structure of the water column (Durán-Campos et al. 2017; Ojeda et al. 2017).

2.2 Sampling

A total of 63 stations were sampled both day and night during a multidisciplinary research cruise (SOGOM-3) onboard the R/V Justo Sierra operated by the National Autonomous University of Mexico from April 21 to May 15, 2017 (Figure 1).

At each station, a CTD/Rosette system (SeaBird 9 plus/General Oceanics) equipped with a fluorescence sensor (ECO WET Labs) and 12 Niskin bottles (General Oceanics, 10-l capacity) were used to record the conductivity, temperature, pressure, and chlorophyll-a fluorescence, and to collect seawater samples at six different standard depths (5, 10, 20, 50, 75, and 100 m) for chemical determinations (nutrients and chlorophyll-a) and identification of phytoplankton cells. To avoid contamination of the samples at each station, the Niskin bottles were rinsed with purified water before each casting. The CTD was cast at a speed of 0.5 m s−1, configured to acquire data at 24 Hz. For safety reasons, each cast was performed 100 m from the bottom.

Immediately after each CTD cast, subsamples of 100 ml for nutrient determinations were collected from Niskin bottles and filtered through two cellulose acetate syringe filters placed in series (0.45 and 0.22 µm, Merck Millipore), stored in acid washed polypropylene containers and finally frozen at −20 °C until analyses.

For chlorophyll-a determinations, subsamples of 2 l were collected and filtered through GF/F filters (Merck Millipore) 47 mm in diameter. The vacuum was created using a stainless-steel vacuum manifold system at 10 pounds per square inch. After filtration, the membranes were stored in Eppendorf Safe-Lock Tubes covered with aluminum foil to avoid the negative effects of light and frozen in liquid nitrogen until analysis. Special precautions were taken during the filtering process under low-light conditions to avoid possible degradation.

For phytoplankton cell determination, 1-l subsamples of seawater were collected in dark glass bottles, fixed with a Lugol acetate solution (4 ml), and kept in the dark until analysis.

2.3 Laboratory analyses

Immediately after the research cruise, the concentrations of nitrate, soluble reactive P (SRP), and soluble reactive Si (SRSi) were analyzed using a flow injection analysis/automation (FIA) system 300 equipped with a PerkinElmer Lambda 25 spectrophotometer, following the standard methods adapted by Grasshoff et al. (1983). The precision of the analysis with this system was 0.1 µM for nitrate, 0.04 µM for SRP and 0.1 µM for SRSi.

Chlorophyll-a was determined using fluorometry immediately after the research cruise. An extraction of the pigment was carried out with 10 ml of 90 % acetone (HPLC grade) under refrigeration for 24 h. To determine chlorophyll-a concentration, an aliquot was measured using a Trilogy Laboratory Fluorometer (Turner Designs) with a non-acidified chlorophyll-a module. During these processes, special precautions were taken to operate under extremely low-light conditions.

Seawater subsamples (1l) collected at each station/depth fixed with Lugol acetate solution were subjected to a decantation process until a volume of 100 ml. This volume was then transferred to a 50-ml Uthermöl sedimentation column for 24 h and kept in the dark to avoid light effects (Edler and Elbrächter 2010). Phytoplankton cells were counted and identified at the group level (Cyanophyceae, Bacillariophyceae, Dinophyceae, Chlorophyceae, Haptophyta, Raphidophyceae, Silicoflagellata, and Phytoflagellates) using an inverted light microscope with phase contrast (Carl Zeiss Axio Vert), following standard keys (e.g., Cupp 1943; Komárek and Anagnostidis 1986; Throndsen 1997; Throndsen et al. 2003; Tomas 1997). Finally, the identified cells were standardized to abundance units (cells l−1), according to Edler and Elbrächter (2010).

According to the objectives of our study and owing to the large volume of samples (63 sampling sites and six depths), the identification of the organisms at the species level was not considered; however, we identified the organisms at the group level. Identification of organisms at the group level is appropriate for multivariate methods. In fact, aggregation into major groups has been reported to reflect well-defined gradients of impact more accurately than taxonomic lists at the species level (Ajmal Khan 2006). The information obtained in our study was extremely valuable for identifying vertical and horizontal distribution patterns and determining how the presence of physical structures affects phytoplankton groups. Studies in numerous environments (including the GoM) have applied similar approaches to identify organisms at the group level. Indeed, historical works have pointed out that some meteorological conditions (e.g. “Nortes” events) determine the presence of diatoms in the coasts off Veracruz (Santoyo and Signoret 1978). Two chlorophyll-a peaks have been identified in Campeche Canyon (southern GoM), one of them deep (below 60 m depth) and associated with the limit of the euphotic layer, which is dominated by coccolithophores, whereas the other peak associated with the bottom was described in the Campeche Bank and dominated by silicoflagellates (Durán-Campos et al. 2017). More recently, in waters off the coast of Campeche (southern GoM), it was identified that nanoflagellates are more abundant in regions that present a high concentration of ammonium and phosphates, diatoms dominate in waters rich in silicates, and cyanobacteria tend to be more abundant in waters with temperatures greater than 30 °C (Gómez-Figueroa et al. 2023).

2.4 Data analyses

The CTD data stored at each station were processed at different levels. They were initially converted using the nominal calibration files with the software provided by the manufacturer (SBE Data Processing 7.26.7) following different standard processing routines, applying filters to eliminate spurious or poor-quality data, and then averaging every 1 dB. The conservative temperature and absolute salinity were obtained following the routines of the thermodynamic equation of Sea Water – 2010 (IOC et al. 2010). Maps of the horizontal distributions of the hydrographic parameters were constructed at the standard depths considered in this study (5, 10, 20, 50, 75, and 100 m).

Finally, we performed canonical correspondence analysis (CCA) following standard routines using the CANOCO software (v. 4.5) (Clarke 1993; Ter Braak 1986) to analyze the influence of each environmental variable measured in this study on phytoplankton groups.

3 Results

3.1 Hydrography

The horizontal distribution of conservative temperatures at different depths showed interesting variations. At 5 m depth, values ranged from 25.5 to 28.2 °C showing their maxima in a core that extends from the southwestern portion to the central part of the study area (Figure 2a). At 10 m depth, values ranged from 25.3 to 27.7 °C with a horizontal distribution pattern like that observed at 5 m depth, with a core located in the southwestern/central portion of the study area (Figure 2b). At 20 m depth, the conservative temperature ranged from 25.3 to 27.4 °C with their maximum values located in a core observed in the central portion of the study area coinciding with the core observed at 5 and 10 m depth, but an additional core was also observed near the southeast coast (Figure 2c). At 50 m, the horizontal distribution was quite different from that observed in the upper layer, with a range of 20.6–26.3 °C, and the presence of a cold core in the central region of the study area (Figure 2d). At a depth of 75 m, the presence of the cold core was evident in the central portion, which registered 19.3 °C (Figure 2e), while at a depth of 100 m two fragmented cold cores were observed, one located in the central portion of the study area and another towards the northwest region, that recorded 18.3 °C (Figure 2f).

Figure 2: 
Horizontal distribution of conservative temperature (ºC) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.
Figure 2:

Horizontal distribution of conservative temperature (ºC) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.

The absolute salinity also varied depending on the depth. At 5 m depth, the range was 36.3–37.1 g kg−1 with a horizontal distribution pattern where the southern and southeastern portion were less saline than the northern portion. In addition, a core with higher salinity was observed in the northeastern region of the study area near the Yucatan Platform (Figure 3a). At 10 m depth, the absolute salinity varied between 34.4 and 37.0 g kg−1 with a distribution pattern like that observed at 5 m, with an area of lower salinity in the southern region, and a core of higher salinity in the Yucatan platform region (Figure 3b). The same distribution pattern, with fewer saline waters in the southern portion and higher salinity cores in the eastern region, was repeated at depths of 20 m (Figure 3c) and 50 m (Figure 3d). At a depth of 75 m, the core with the highest salinity was observed in the central portion of the study area (Figure 3e), whereas at a depth of 100 m, a large core with less saline water was observed in the central portion, with values <36.53 g kg−1 (Figure 3f).

Figure 3: 
Horizontal distribution of absolute salinity (g kg−1) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.
Figure 3:

Horizontal distribution of absolute salinity (g kg−1) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.

The density values showed contrasting variability depending on the depth, which is in agreement with the conservative temperature distribution. At a depth of 5 m, the density values ranged from 23.4 24.4 kg m−3, with a large core of lower density in the central portion of the study area (Figure 4a). The horizontal distribution of density at 10 m depth was very similar to that observed at 5 m, with a large core of lower density reaching 23.6 kg m−3 in its center (Figure 4b). At 20 m depth, the density values ranged between 23.7 and 24.4 kg m−3 with a core of higher density in the northern region of the study area (Figure 4c). The density distributions in the deeper layers were very different. At a depth of 50 m, a high-density core was observed in the central portion, reaching values >25.5 kg m−3, which is in agreement with the core of the lower temperature observed at this depth (Figure 4d). At depths of 75 m (Figure 4e) and 100 m (Figure 4f), the same pattern was observed, with higher-density cores in the southern portion reaching values >26.0 kg m−3.

Figure 4: 
Horizontal distribution of density values (kg m−3) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.
Figure 4:

Horizontal distribution of density values (kg m−3) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.

3.2 Nutrients

The distribution of nitrates and nitrites showed high horizontal and vertical variability. As expected, the concentration increases with increasing depth. At 5 m depth, the lowest concentration was observed (1.13–2.78 µM) with a core of higher concentration in the central portion (Figure 5a). At a depth of 10 m, the concentration increases slightly, reaching a maximum value of 3.2 µM (Figure 5b). At a depth of 20 m, the range varied between 1.5 and 4.1 µM with the presence of fragmented cores of different concentrations in the central portion of the study region (Figure 5c). At 50 m depth, the maximum concentration reached 6.6 µM with the presence of cores of different concentrations throughout the sampling region (Figure 5d). The concentration of nitrates increased to 10.7 μM at 75 m depth (Figure 5e) and 15.7 μM at 100 m depth (Figure 5f); in both cases, cores with different concentrations were also observed throughout the study region.

Figure 5: 
Horizontal distribution of nitrates + nitrites (µM) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.
Figure 5:

Horizontal distribution of nitrates + nitrites (µM) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.

The concentration of phosphates was low, reaching 0.86 µM in the entire sampling region in all depths. At 5 m depth, the concentration presented a range of 0.08–0.47 µM with the highest values observed in a core in the northern region. A secondary core with a high concentration was observed in the central portion, reaching 0.40 µM (Figure 6a). At 10 m depth, two cores of high concentration were observed, one in the southeastern part of the study area with 0.30 µM, while the second one was observed in the central region with values of 0.28 µM (Figure 6b). At 20 m depth the concentration ranged from 0.07 to 0.25 µM with fragmented cores of different values that amounted 0.25 µM (Figure 6c). At 50 m depth, two well-defined high-concentration cores were observed, the first was in the central portion with values reaching 0.47 µM, while the second one was detected in the southeastern portion, with values >0.40 µM (Figure 6d). At a depth of 75 m, the maximum concentration was 0.68 µM located in the core located in the central portion of the study region (Figure 6e). The maximum concentration for all depths (0.83 µM) was recorded at 100 m depth, with different fragmented cores distributed along the study area (Figure 6f).

Figure 6: 
Horizontal distribution of phosphates (µM) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.
Figure 6:

Horizontal distribution of phosphates (µM) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.

Similar to the above nutrients, the concentration of silicates showed wide variations, both in their concentrations and in their horizontal and vertical distributions. At 5 m depth, the concentration ranged between 1.1 and 6.5 µM, with the maximum values observed in a core in the central portion of the study area (Figure 7a). At 10 m depth, the concentration ranged between 1.1 and 2.9 µM with the highest values observed in the southern portion (Figure 7b). At 20 m depth, two cores of high concentration were observed, one in the northwestern portion that registered 4.4 µM and another one located in the central portion of the study area, with values >4 µM (Figure 7c). The Silicates values at 50 m depth ranged from 1.1 to 6.7 µM, with the maximum concentration located in a core in the central portion (Figure 7d). At the depth of 75 m, two cores with high concentrations were observed in the northern and central portions of the study area reaching 7.2 and 6.5 µM, respectively (Figure 7e). At 100 depth, the maximum concentration reached 10 µM in two cores located in the southwestern portion of the study area, one of them close to the coast (Figure 7f).

Figure 7: 
Horizontal distribution of silicates (µM) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.
Figure 7:

Horizontal distribution of silicates (µM) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.

3.3 Chlorophyll-a

Chlorophyll-a is still recognized as one of the best proxies for phytoplankton biomass. In our study, the concentration was heterogeneous, both vertically and horizontally.

The lowest concentrations were observed at the surface of the water column. At 5 m depth (Figure 8a), it registered a range of 0.03–0.37 mg m−3, while at 10 m depth (Figure 8b) it varied from 0.07 to 0.37 mg m−3. In both cases, cores with different concentrations were observed in the southeastern and central regions. At 20 m depth, the values ranged from 0.05 to 0.53 mg m−3, with two cores of high concentration located in the southeastern and central regions (Figure 8c). The chlorophyll-a concentration increased at 50 m depth, in a range of 0.07–0.89 mg m−3 with maximum values found in a wide portion of the southern region (Figure 8d). The maximum concentration was observed at 75 m, reaching 1.15 mg m−3, with a high-concentration core located in the southeastern portion (Figure 8e). Finally, at 100 m depth, the chlorophyll-a values varied from 0.02 to 0.58 mg m−3, with two cores of high concentration located in the northern portion of the study area (Figure 8f).

Figure 8: 
Horizontal distribution of chlorophyll-a (mg m−3) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.
Figure 8:

Horizontal distribution of chlorophyll-a (mg m−3) at different depths: (a) 5 m, (b) 10 m, (c) 20 m, (d) 50 m, (e) 75 m and (f) 100 m.

3.4 Phytoplankton groups

The water samples from different depths allowed us to identify eight phytoplankton groups: Cyanophyceae, Bacillariophyceae, Dinophyceae, Chlorophyceae, Haptophyta, Raphidophyceae, Silicoflagellata and Phytoflagellates, which were found in high variable abundances.

Dinophyceae was the most abundant group with 454,160 cells l−1. Phytoflagellates reached a total abundance of 171,939 cells l−1, while Cyanophyceae presented 50,720 cells l−1. Bacillariophyceae registered 25,457 cells l−1, Haptophyta recorded 15,851 cells l−1, and Silicoflagellata recorded 7,940 cells l−1, whereas the two groups with the lowest abundances were Raphidophyceae and Chlorophyceae, with 1,557 and 882 cells l−1, respectively (Figure 9).

Figure 9: 
Total abundance (cells l−1) of eight phytoplankton groups in the Southern Gulf of Mexico during the spring of 2017. Cyan, Cyanophyceae; Dino, Dinophyceae; Baci, Bacillariophyceae; Chlo, Chlorophyceae; Hap, Haptophyta; Rap, Raphidophyceae; Sili, Silicoflagellata; Phyto, Phytoflagellates.
Figure 9:

Total abundance (cells l−1) of eight phytoplankton groups in the Southern Gulf of Mexico during the spring of 2017. Cyan, Cyanophyceae; Dino, Dinophyceae; Baci, Bacillariophyceae; Chlo, Chlorophyceae; Hap, Haptophyta; Rap, Raphidophyceae; Sili, Silicoflagellata; Phyto, Phytoflagellates.

The abundance of each phytoplankton group varied significantly depending on sampling depth. Cyanophyceae showed the highest abundance at the depths of 5 and 10 m. Dinophyceae were particularly abundant at depths of 10 m and 50 m, whereas the abundance of Bacillariophyceae was similar at all sampling depths. Chlorophyceae were abundant at 5 and 10 m depths, and Haptophyta was most abundant at 75 m depth. The abundance of Raphidophyceae was uniform across all sampling depths. Silicoflagellata showed maximum abundance values at 50 m depth, whereas phytoflagellates showed their highest abundance at 100 m depth (Figure 10).

Figure 10: 
Abundance (cells l−1) of eight phytoplankton groups in the Southern Gulf of Mexico during the spring of 2017 at each sampling depth. Cyan, Cyanophyceae; Dino, Dinophyceae; Baci, Bacillariophyceae; Chlo, Chlorophyceae; Hap, Haptophyta; Rap, Raphidophyceae; Sili, Silicoflagellata; Phyto, Phytoflagellates.
Figure 10:

Abundance (cells l−1) of eight phytoplankton groups in the Southern Gulf of Mexico during the spring of 2017 at each sampling depth. Cyan, Cyanophyceae; Dino, Dinophyceae; Baci, Bacillariophyceae; Chlo, Chlorophyceae; Hap, Haptophyta; Rap, Raphidophyceae; Sili, Silicoflagellata; Phyto, Phytoflagellates.

The horizontal distribution of the total abundances of the eight phytoplankton groups at all sampled depths at each station also showed high variability (Figure 11). The highest abundances (>10,000 cells l−1) were found in three main large regions, one was the region of the Campeche Canyon, the second one was at the central portion of the study area, while a third region with high values was registered in the northern portion. Relatively high abundance values were also observed in the southern zone of the study area at stations near the coast. Notably, the high values coincided with regions where nutrient-rich cold cores were observed, particularly in the southern part of the study area.

Figure 11: 
Horizontal distribution of the total abundance (cells l−1) of the eight phytoplankton groups in all sampled depths at each station.
Figure 11:

Horizontal distribution of the total abundance (cells l−1) of the eight phytoplankton groups in all sampled depths at each station.

The CCA ordination analysis (Figure 12) showed that the two first axes explained the 74.5 % of the accumulated variance (Supplementary Table S1), with a correlation gradient among the abundances of the eight phytoplankton groups and the hydrographic and chemical parameters. The ordination biplot graph showed that the phytoplankton groups were associated with specific parameters: Dinophyceae and Bacillariophyceae were correlated with the conserved temperature, longitude, and concentration of silicates, whereas silicoflagellates were influenced by absolute salinity and phosphate concentration. Cyanophyceae and Chlorophyceae seemed to respond to the concentration of dissolved oxygen and the total depth of each station, whereas the remaining groups (Haptophyta, Raphidophyceae, and Phytoflagellates) were related to the concentration of phosphates and nitrate + nitrite. The correlation values are summarized in Supplementary Table S2.

Figure 12: 
Canonical correspondence analysis of the total abundance of the eight phytoplankton groups in all sampled depths (black triangles) related to the hydrographic and chemical parameters recorder (red arrows). Cyan, Cyanophyceae; Dyn, Dinophyceae; Baci, Bacillariophyceae; Chlo, Chlorophyceae; Hap, Haptophyta; Rap, Raphidophyceae; Sili, Silicoflagellata; Phy, Phytoflagellates; DO, dissolved oxygen; T, conservative temperature (ºC); Z, total depth of each station; S, absolute salinity (g kg−1); NO3+NO2, nitrates + nitrites; PO4, phosphates; SiO2, silicates; Long, longitude.
Figure 12:

Canonical correspondence analysis of the total abundance of the eight phytoplankton groups in all sampled depths (black triangles) related to the hydrographic and chemical parameters recorder (red arrows). Cyan, Cyanophyceae; Dyn, Dinophyceae; Baci, Bacillariophyceae; Chlo, Chlorophyceae; Hap, Haptophyta; Rap, Raphidophyceae; Sili, Silicoflagellata; Phy, Phytoflagellates; DO, dissolved oxygen; T, conservative temperature (ºC); Z, total depth of each station; S, absolute salinity (g kg−1); NO3+NO2, nitrates + nitrites; PO4, phosphates; SiO2, silicates; Long, longitude.

4 Discussion

The GoM is a highly dynamic ecosystem with a confluence of different hydrodynamic processes at different scales affecting the physical, chemical, and biological properties of the water column, from the surface to the bottom.

The results presented here allowed us to identify the main environmental factors that influenced the vertical and horizontal distributions of phytoplankton during summer. These factors include the presence of mesoscale eddies and their effects on temperature distribution.

The presence of mesoscale eddies is certainly one of a hydrodynamic process that has the greatest impact on phytoplanktonic populations. Cyclonic and anticyclonic eddies play major roles in the vertical and horizontal transports of temperature, nutrients, and organisms (McGillicuddy 2016). Cyclonic eddies raise subsurface, cold, and nutrient-rich waters, which benefit phytoplankton populations in the euphotic layer. Thus, they are structures recognized for their high primary production, representing oases in the marine environment. In contrast, anticyclonic eddies are characterized by the trapping and sinking of warm surface water masses and are generally referred to as low-productivity environments (Belkin et al. 2022; McGillicuddy 2016; McGillicuddy et al. 2007).

The impact of eddies on the variability of hydrographic properties of the GoM water column has long been recognized a longtime ago (Behringer et al. 1977). Biggs (1992) highlighted the importance of these structures in the distribution of nutrients, plankton, and productivity within the Gulf. Their presence is known to be a powerful mechanism that promotes phytoplankton and zooplanktonic production (Färber-Lorda et al. 2019).

In our study, the horizontal distribution of hydrographic parameters displayed clear spatial variability with cold/warm cores, which is indicative of cyclonic/anticyclonic eddies. Its presence influences the horizontal distribution of nutrients, inducing high-concentration cores that are particularly associated with cyclonic eddies. The chlorophyll-a concentration and its horizontal distribution also appeared to be influenced by the presence of nutrient-rich cold cores, particularly below a depth of 50 m. The impact of these eddies on nitrate distribution in the deep area of the GoM was recently evaluated by Lee-Sánchez et al. (2022) based on in-situ observations conducted during summer. These authors documented that the nitracline is modulated by the presence of eddies, which become shallower/deeper depending on the presence of cyclonic/anticyclonic structures.

Currently, these eddies are recognized as playing a significant role in planktonic ecosystems, and to date, important efforts have been made to understand their dynamics. Salas-de-León et al. (2004) presented evidence of the propagation of dipole eddies (cyclone-anticyclone) in Campeche Canyon, best expressed below a depth of 40 m. These have strong repercussions on the ecosystem because they modify the hydrographic properties of the water column and affect the concentration of nutrients, dissolved oxygen, and subsequently phytoplankton biomass, which is expressed as chlorophyll-a. Pérez-Brunius et al. (2013) based on in-situ and satellite observations, mentioned that the high variability of surface currents in the southern portion of the GoM, with the presence of cyclonic and anticyclonic eddies and cyclonic circulation in the Bay of Campeche, is mainly linked to the topography of the region and the size of the basin. Later, Díaz-Flores et al. (2017) analyzed the cyclonic eddy of the Bay of Campeche using data from an acoustic Doppler current profiler and concluded that the conservation of potential vorticity plays a vital role in its origin, while the bottom topography influences its evolution. These authors pointed out that the presence of an eddy has strong biological implications because it generates divergent currents that raise nutrient-rich subsurface waters to the surface, which can be used by phytoplankton for photosynthesis. More recently, Furey et al. (2018) analyzed the eddies produced in the deep layers of the central GoM (at 1,500–2,500 m depth) and concluded that their generation is local, with no apparent connection to the surface layers. Once they form, they move westward over the abyssal plain, transporting mass and energy across the gulf.

The role played by these eddies on the biogeochemical properties of the water column and phytoplankton distribution in the deep region of the GoM has also been previously evaluated. In the Campeche Canyon, Aldeco et al. (2009) analyzed the phytoplankton taxonomic composition during the summer and its relationship with the surface and subsurface circulation patterns. They revealed the presence of a dipole eddy (cyclone–anticyclone) that induced a thermal gradient at their border, typical of a front, whose properties caused an aggregation of phytoplanktonic organisms, with a dominance of dinoflagellates over diatoms and high abundances of the diazotrophic cyanobacterium Trichodesmiun spp. This circulation pattern was later studied by Durán-Campos et al. (2017) based on in-situ observations at the end of spring, who confirmed the presence of a cyclonic-anticyclonic dipole eddy that induces a thermal front at their borders and influences the phytoplankton community structure with a dominance of dinoflagellates and coccolithophores, followed by diatoms and silicoflagellates. These authors stated that the presence of this circulation induced two patterns of vertical distribution of phytoplankton biomass, expressed as chlorophyll-a concentration: (1) a deep maximum associated with the limit of the euphotic layer, independent of the thermocline, and (2) a maximum associated with the bottom, whose phytoplankton composition is highly variable. In Pattern (1), the dominant organisms were dinoflagellates and coccolithophores, whereas in Pattern (2), they were silicoflagellates. These studies highlighted the dominance of dinoflagellates over other phytoplankton groups, which is in agreement with our results.

Dinoflagellates are vertically migrating organisms with different behaviors during the day and night (Reynolds 2006). In our study, 40 of the 63 stations (63.4 %) were sampled during the day (07:00–20:00 h), while 23 stations (36.6 %) were sampled during the night (20:00–07:00 h). Therefore, it is important to consider the nycthemeral migration of dinoflagellates. It is relatively well known that the density of some species (e.g., Peridinium quadridentatum) increases during the morning to reach peak levels at 16:00 on sunny days, followed by an abrupt drop in density at night and early in the morning (Rodríguez-Gómez et al. 2019) which may explain the highest density values of dinoflagellates found in our study (Figure 9).

Studies on picoplankton populations in the central portion of the GoM related to mesoscale dynamics during winter conditions have indicated that the presence of cyclonic and anticyclonic eddies plays an important role in picoplankton composition and biomass. This occurs because anticyclonic eddies deepen the nitracline, generating deep peaks in the picoplankton biomass, whereas cyclonic eddies accumulate biomass in the surface layer, which is directly related to the dynamics of the nutrients in both structures (Linacre et al. 2015; Linacre et al. 2019).

Finally, based on the CCA performed in our study, nitrogen and phosphates showed high explanatory power for phytoplankton group distribution, which is in agreement with previous studies. Extensive scientific evidence reveals a strong positive relationship and response of marine phytoplankton to nutrient enrichment, particularly nitrogen and phosphorus (Smith 2006 and reference there in). In our study, the presence of eddies ensured the availability of both elements, which benefited the identified phytoplankton groups.

5 Conclusions

Dinophyceae was the dominant phytoplankton group and its horizontal distribution was influenced by variations in temperature and nutrient concentrations induced by the presence of cyclonic eddies. These results are consistent with those of previous studies conducted in the south of the GoM. Nonetheless, studies on the abundance and distribution of phytoplankton and their relationships with environmental parameters, which are critical for understanding their seasonal and interannual variability, remain limited. In addition, the role played by certain large-scale processes such as El Niño/La Niña or the Atlantic Decadal Oscillation remains unexplored. This requires the implementation of long-term monitoring, both with in-situ and satellite observations, to increase the state of understanding of the Southern GoM.


Corresponding author: Erik Coria-Monter, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Av. Universidad 3000, Col. Copilco, Coyoacán 04510, Ciudad de México, Mexico, E-mail:

Funding source: PEMEX

Award Identifier / Grant number: 201441

About the authors

José Manuel González-Fernández

José Manuel González-Fernández is a professor of biology at the National Autonomous University of Mexico. He is also a doctoral student in the biological and health sciences programme at the Autonomous Metropolitan University of Mexico. His doctoral research focuses on the ecology of marine dinoflagellates from Gulf of Mexico.

Ruth Luna-Soria

Ruth Luna-Soria has an MSc in biology from the Faculty of Sciences, Universidad Nacional Autónoma de México. Her major skills include ecology and taxonomy of phytoplankton from the Gulf of Mexico.

Elizabeth Durán-Campos

Elizabeth Durán-Campos earned a Ph.D. in biological sciences (2015) from the Autonomous Metropolitan University of Mexico. She does research in plankton ecology and physical/biological interactions both coastal and oceanic environments.

Erik Coria-Monter

Erik Coria-Monter has a Ph.D. in biological sciences from the Autonomous Metropolitan University (UAM) of Mexico and is Professor at the National Autonomous University of Mexico (UNAM). His research is focused on plankton ecology, trophic ecology, and physical/biological interactions in marine ecosystems.

Adolfo Gracia

Adolfo Gracia has a Ph.D. in Biology and is Professor at the National Autonomous University of Mexico (UNAM). His research is focused on marine ecology, deep sea oceanography, fishery resources, benthic ecology, and impact of oil pollution in marine ecosystems. He has conducted several research projects to monitor the health of ecosystems in the Gulf of Mexico.

Acknowledgments

We thank the participants of the research cruise SOGOM 3, including the captains and crew of the R/V Justo Sierra of the UNAM. Francisco Ponce Núñez, Arturo Ronquillo Arvizu and Juan Antonio Frausto Castillo provided technical support during analyses. Helpful comments from one anonymous reviewer improved the manuscript.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Conceptualization, E.C.M., A.G. and E.D.C.; methodology, J.M.G.F., R.L.S., H.A.V., E.D.C., E.C.M. and A.G.; software, H.A.V. and E.C.M.; validation, E.C.M., A.G. and E.D.C; formal analysis, J.M.G.F., R.L.S., H.A.V., E.D.C., E.C.M. and A.G.; investigation, J.M.G.F., R.L.S., H.A.V., E.D.C., E.C.M. and A.G.; data curation, J.M.G.F., R.L.S., H.A.V., E.D.C., E.C.M. and A.G.; writing – original draft preparation, E.C.M., A.G. and E.D.C.; writing – review and editing, J.M.G.F., R.L.S., H.A.V., E.D.C., E.C.M. and A.G.; supervision, E.C.M., A.G. and E.D.C.; project administration, A.G.; funding acquisition, A.G. The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Conflict of interest: The authors state no conflict of interest.

  5. Research funding: This study was funded by the Mexican National Council for Science and Technology – Mexican Ministry of Energy – Hydrocarbon Fund, project 201441 as part of the Gulf of Mexico Research Consortium (CIGoM) due to PEMEX’s specific request to the Hydrocarbon Fund to address the environmental effects of oil spills in the Gulf of Mexico.

  6. Data availability: The raw data can be obtained from the corresponding author on request.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/bot-2024-0042).


Received: 2024-06-04
Accepted: 2024-11-05
Published Online: 2024-12-10
Published in Print: 2025-04-28

© 2024 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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