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Boletín de Investigaciones Marinas y Costeras - INVEMAR

versão impressa ISSN 0122-9761

Bol. Invest. Mar. Cost. vol.46 no.2 Santa Marta jul./dez. 2017

https://doi.org/10.25268/bimc.invemar.2017.46.2.729 

Research Articles

Analysis of the trophic state and microphytoplankton in the coastal zone of Guayas Province, Ecuador

Mónica Prado-España 1  

Luis Troccoli-Ghinaglia 1   2   3  

Jacqueline Cajas-Flores 1  

1 Instituto Nacional de la Pesca. Letamendi 102 y la Ría. Guayaquil-Ecuador. mprado@institutopesca.gob.ec, jcajas@institutopesca.gob.ec

2 Investigador Prometeo Senescyt-Ecuador. Edificio Público del Sector Social, Planta Baja. Av. Plaza Dañin. Guayaquil, Ecuador. luis.troccoli@gmail.com

3 Instituto de Investigaciones Científicas, Universidad de Oriente. Boca de Río, Isla de Margarita-Venezuela.


ABSTRACT

Most fishing and aquaculture activity in Ecuador is concentrated in the Gulf of Guayaquil. However, the nutrient loads from anthropic activities could affect the water quality and the diversity of fishery resources. Surface water samples were collected to determine the temperature, salinity, dissolved oxygen, nutrients, and the community structure of microphytoplankton to determine the trophic status of the coastal zone and the inner estuary. In addition, the relation between the hydrographic variables was established through principal component analysis (PCA), and redundancy analysis (RDA) was used to analyze the effect of the environmental variables on the microphytoplankton communities. Differences in community structure were determined using multidimensional scaling analysis of similarities (MDS-Anosim), and the trophic status was established through the Karydis index. Significant differences were detected between the coastal zone and the inner estuary. Overall, the inner estuary showed a higher trophic level, with higher temperature and nutrient concentrations, and lower values for the salinity, transparency, and dissolved oxygen. Seventeen species of microphytoplankton were identified, of which 78% were diatoms, 18% dinoflagellates, 2% cyanophytes, and 2% silicoflagellates. Significant differences were detected in equitability and diversity, with fewer records in the estuarine area. The RDA showed a positive correlation (0.54; p <0.05) between Paralia sulcata, Thalassionema nitzschioides, Thalassionema frauenfeldii and nutrients and a negative correlation with salinity. In the inner estuary, Nitzschia longissima, Chaetoceros decipiens, and Skeletonema costatum were positively correlated (0.64; p <0.05) with temperature and negatively correlated with phosphate and nitrate. Differences in the community structure existed between zones, with S. costatum, T. frauenfeldii, and T. nitzschioides dominating the inner estuary and N. longissima, Guinardia striata, and Leptocylindrus danicus dominating in the coastal zone. The study area was determined to be mesotrophic. However, in the inner estuary, the values of the trophic index were higher because this area probably receives more directly the contributions from anthropic activities. Surveys with samples less than a mile from the coast are recommended to determine the trophic status in an area closer to the coast and to develop management plans to avoid threats of eutrophication.

Keywords: Gulf of Guayaquil; Estuary; Mesotrophic; Diatoms; Hydrographic variables

RESUMEN

En el golfo de Guayaquil se concentra la mayor actividad pesquera y acuícola del Ecuador; sin embargo, la carga de nutrientes provenientes de actividades antrópicas, afectaría la calidad del agua y diversidad de recursos pesqueros. Con el propósito de determinar el estado trófico de la zona costera y estuario interior, se recolectaron muestras de agua superficial, para medir temperatura, salinidad, oxígeno disuelto, nutrientes y microfitoplancton. Además, se establecieron relaciones entre las variables hidrográficas mediante un Análisis de Componentes Principales (ACP) y entre éstas con el microfitoplancton a través del Análisis de Redundancia (ADR). Las diferencias en estructura comunitaria se determinaron mediante el Escalamiento Multidimensional no Métrico (MDS) y Análisis de Similaridad (ANOSIM), y el estado trófico empleando el índice Karydis. Se detectaron diferencias significativas entre la zona costera y estuario interior, registrando este último mayor temperatura y concentración de nutrientes, menor salinidad, transparencia, concentración de oxígeno disuelto y el nivel trófico más elevado. Se identificaron 178 especies de microfitoplancton, de las cuales 78% fueron diatomeas, 18% dinoflagelados, 2% cianofitas y 2% silicoflagelados. Se detectaron diferencias significativas en equitatividad y diversidad, con menores registros en la zona estuarina. El ADR mostró una correlación positiva (0.54; p<0.05) entre Paralia sulcata, Thalassionema nitzschioides, Thalassionema frauendeldianum con los nutrientes y negativa con salinidad. En el estuario interno se correlacionaron positivamente (0.64; p<0.05) Nitzschia longissima, Chaetoceros decipiens y Skeletonema costatum con temperatura y en forma inversa con fosfato y nitrato. Se registraron diferencias en la estructura comunitaria entre zonas, predominando S. costatum, T. fraunfeldianum y T. nitzschioides en el estuario interior y N. longissima, Guinardia striata y Leptocylindrus danicus en la zona costera. Se determinó a toda la zona de estudio como mesotrófica, no obstante, en el estuario interior los valores del índice trófico fueron más elevados debido probablemente a que recibe de manera más directa los aportes provenientes de actividades antrópicas. Se recomienda efectuar estudios con muestreos a una distancia menor a 1.8 km de la costa, para conocer el estado trófico en un área más cercana a la costa y desarrollar planes de manejo para evitar amenazas de eutrofización.

Palabras clave: Golfo de Guayaquil; Estuario; Mesotrófico; Diatomeas; Variables hidrográficas

INTRODUCTION

The role of estuaries regarding nutrient inputs to the coastal zone has been extensively studied because of its importance to energy transfer and fish production (Alpine and Cloern, 1992; Dutto et al., 2014; Nelson et al., 2015). This nutrient load is generated mainly by the increase in human populations and their activities in the coastal zones, which, when excessive, can lead to eutrophication and affect the quality and use of the resources of these ecosystems (Nixon, 1995; Cloern and Jassby, 2010; Paerl et al., 2014). To determine the trophic status of aquatic systems, indices have been established that reflect the level of deterioration of water quality, and these indices include factors such as nutrient concentration, water transparency, dissolved oxygen concentration, among others, and the effects of this deterioration on life such as phytoplankton, marine grasses, and macroalgae (Vollenweider, 1992; Birk et al., 2012). All indices are applied according to the feasibility of measuring various factors, including the Karydis index (1992), which is based mainly on the concentration of nutrients and has specificity for each one of them. In addition, this index is applied to various types of water, it is highly sensitive to the effects of eutrophication, and it is easy to apply. Initially, this index was established as a model for European waters, but it has been used successfully in the Americas, such as in the Gulf of Mexico (Herrera-Silveira et al., 2004; Tapia-González et al., 2008;Moreno et al., 2010).

The measurement of the trophic level is important for establishing the type of control and monitoring used in the management of ecosystems in short- and medium- term projects. In addition, the current trend suggests that investigations of the trophic status of the coastal zone should be accompanied by knowledge of the community structure of microphytoplankton because it is the community that best responds as an indicator of changes in coastal hydrography (Hays et al., 2005; Reynolds, 2006; Vinagre and Costa, 2014). Therefore, Tsirstis and Karydis (1998) indicated that phytoplankton diversity reacts to changes in the trophic level if polluted environments favor the growth of a few opportunistic species.

In Ecuador, 70% of the inland water bodies flow into the coastal zone (Rendón et al., 1983), with most of the country’s fishing and aquaculture activity concentrated in the Gulf of Guayaquil (San Martín, 2009). However, the nutrient load that comes from untreated wastewater of agricultural, livestock, domestic, industrial, and aquacultural origins gives water bodies their trophic characteristics, which affect the water quality and the diversity of the resources from which it develops. In this sense, studies on the hydrographic and biological characteristics of the coastal zone of Ecuador show spatial and temporal changes in the community structure of microphytoplankton in the Gulf of Guayaquil, where the dominance of halotolerant diatoms such as Paralia sulcata and Skeletonema costatum, and oceanic species, such as Rhizosolenia imbricata, Eucampia cornuta, Pseudonitzschia seriata and Guinardia striata, have been found in the coastal zone (Prado et al., 2015).

Regarding community structure and its relation to hydrographic conditions, studies have focused mainly on the influence of the water masses of the currents that dominate the Ecuadorian coast, such as the currents of Panama during the rainy season and Humboldt in the dry period, using temperature as an indicator and determining the absolute dominance of diatoms in both periods (Jiménez, 1983; Gualancañay et al., 2003, Coello et al., 2010; Prado and Cajas, 2010a, 2010b). Based on the studies on plankton and hydrographic conditions, carried out 1.8 km off the coast of the province of Guayas, the goal of this study is the determination of the trophic condition in the interior estuary of the Gulf of Guayaquil and adjacent coastal zone relative to the structure of the microphytoplankton.

STUDY AREA

Ecuador is a country with only two seasons: a rainy season from January to May and a dry season from July to November, whereas December and June are considered transitional months. The province of Guayas is in Southwest Ecuador and is influenced by several marine currents, especially the cold Humboldt current in the dry season and the warm El Niño current in the rainy season, producing a tropical savanna and tropical monsoon climate with average temperatures of 25°C and annual precipitation between 500 and 1000 mm (Twilley et al., 2001).

In the coastal zone of this province is the Gulf of Guayaquil (3°S, 80°W), in which an outer and an inner estuary have been established; the former has its limit in the platform along the meridian 81°W to the interior of the island Puná (80°15’W) in the mouths of the El Morro and Jambelí channels. The depth of the Gulf of Guayaquil on the continental shelf ranges from 180 m on the western edge to less than 20 m on the interior (Montaño-Armijos and Sanfeliu-Montolio, 2008).

The inland estuary is known as the Guayas River Estuary; to the northwest is the Salado Estuary, which receives sewage from the city of Guayaquil; and to the southeast lies the Churute Estuary, which receives the Taura and Churute rivers. A total of 24 hydrographic basins discharge into the Gulf of Guayaquil, with the Guayas River, which is formed by the confluence of Daule and Babahoyo (Twilley et al., 2001; Montaño-Armijos and Sanfeliu- Montolio, 2008), being the most important.

The study area corresponds to the area of fishing activity along the coast of Guayas Province and northwest of Puná Island, 1.8 km away from the continental margin and where 16 stations were located, of which eight were in the coastal area (stations 1-7 and 16) and eight were in the interior of the Gulf of Guayaquil (stations 8 to 15) (Figure 1).

Figure 1 Geographic location of the sampling stations in Guayas Province. 

MATERIALS AND METHODS

Sampling and analysis

Surface surveys were carried out between 8:00 and 11:00 AM on board an outboard motorboat, 1.8 km from the coast from June to November 2012. In each sample, temperature and salinity were measured with a Seabird CTD, model Seacat S19. Simultaneously, a sample of water was collected at each station using a 5-L Niskin bottle, from which 500 mL was taken for the determination of nitrite, nitrate, phosphate, and silicate, according to the methodology of Parsons et al. (1984), and 240 mL was taken for the microphytoplankton analysis and preserved with Lugol solution for later analysis in the laboratory.

The identification of the microphytoplankton species was carried out following the codes of Cupp (1943), Cleve (1951), Schiller (1971), Jiménez (1983), Tomas (1997), and Bérnard-Therriault et al. (1999), whereas species abundance was estimated using the Utermöhl method referred to in Edler and Elbrächter (2010). In this method, a motorized inverted Leica DMI8 microscope with Leica Application Suite (LAS) software and 10 mL sedimentation chambers were used, with the samples being allowed to stand in the chambers for 24 h. Next, the quantitative data were used to calculate, using the logarithm base 2, the total abundance, relative abundance of functional groups, indices of equitability, richness, and the Shannon and Wiener index (Tsirstsis and Karydis,1998; Krebs, 1999).

To characterize the trophic status by zones, based on each nutrient, the following formula was used to calculate the Karydis multivariate index (1992):

where TI is the trophic index for a specific nutrient, C is the sum of the nutrient concentration per season, Xi is the average monthly nutrient concentration per season, and A is the number of seasons.

The numerical scale that determines the trophic level is the following: <3, oligotrophic; 3-5, mesotrophic; and > 5, eutrophic.

Analysis of data

A nonparametric analysis of variance (Kruskal- Wallis, KW) was performed to verify possible nonparametric variance between the seasons and months of sampling (Zar, 1996). The hydrographic and community structure variability between zones was determined using the Mann Whitney U test (MW-U, Sheskin, 2004), expressed in box and whisker plots according to Boyer et al. (1997). To establish the relations among the hydrographic variables of each zone, a principal component analysis (PCA) was performed from a correlation matrix (Johnson and Wichern, 1992). The relations between the relevant species of each zone and the hydrographic variables were determined through a redundancy analysis (RDA), including the Monte Carlo test (ter Braak and Verdonschot, 1995; Muylaert et al., 2009) with the transformation to square root. To establish possible differences in the community structure of microphytoplankton between zones, nonparametric multidimensional analysis (MDS-Anosim) was used, and the percentage of SIMPER similarity was obtained to determine the contribution of the species between zones. All multivariate analyses were performed using the PAST ver. 3.0 software (Hammer et al., 2001).

RESULTS

Environmental variables

The average temperature was 25.2°C, with the minimum value (24.3°C) in August and the maximum (26.5°C) in June. Monthly differences and differences between significant zones (p <0.05) were detected, with the lowest records in the coastal zone (Figure 2a and b). The average salinity was 31.3, with the minimum (30.6) in June and the maximum (32.2) in December. Significant monthly and interzone differences (p <0.05) were recorded with the lowest records in the internal zone (Figure 2c and d).

Figure 2 Monthly and zone variation of a and b) temperature, c and d) salinity, e and f) dissolved oxygen, g and h) transparency in the coastal zone (Coastal) and in the inland estuary of the Gulf of Guayaquil (estuary) along the coast of Guayas Province between June and December 2012. 

The mean dissolved oxygen concentration was 7.4 mg/L, with a minimum (6.2 mg/L) in June and a maximum (8.5 mg/L) in November, with significant differences (p <0.05) recorded in the estuary (Figure 2e and f). The average transparency was 1.9 m, with the lowest (1.3 m) in July and the maximum (2.6 m) in June, with significant monthly differences (p <0.05) and differences between zones, with the lowest records in the inland estuary (Figure 2g and h).

Nitrite varied significantly monthly and between zones (p <0.05), with the lowest values being recorded in the coastal zone. The mean concentration of nitrite was 0.25 μmol/L, with the lowest concentration (0.16 μmol/L) in November and the maximum (0.36 μmol/L) in August (Figure 3a and b).

Figure 3 Monthly and zone variation of a and b) nitrite, c and d) nitrate, e and f) phosphate, and g and h) silicate in the coastal zone (Coastal) and inland estuary of the Gulf of Guayaquil (Estuary) along the coast of Guayas Province between June and December 2012. 

In the case of nitrate, the lowest concentration occurred in September (4.9 μmol/L) and the highest in November (8.3 μmol/L), with an average of 5.8 μmol/L. No significant monthly differences (p> 0.05) were observed, but differences were found between zones (p <0.05), with the lowest concentrations being recorded in the coastal zone (Figure 3c and d).

Phosphate had concentrations between 1.1 μmol/L in December and 1.8 μmol/L in August; the mean value was 1.4 μmol/L. No significant differences (p> 0.05) were observed, but differences were observed between zones (p <0.05), with the lowest concentrations being recording in the coastal zone (Figure 3e and f).

The average concentration of silicate was 45.6 μmol/L, with the lowest concentration (13.6 μmol/L) in December and the maximum (84.6 μmol/L) in June. In this case, the spatial (by zone) and temporal (monthly) differences were significant (p <0.05), with the lowest values being recorded in the coastal zone (p <0.05) (Figure 3g and h).

In general, in the coastal zone, lower temperatures and nutrient concentrations were observed, but higher salinity, oxygen, and transparency were observed in the coastal zone compared to the internal area of the Gulf of Guayaquil (Table 1).

Table 1 Averages of physical-chemical variables of the coastal zone and inland estuary of the Gulf of Guayaquil along the coast of Guayas Province between June and December of 2012. 

The analysis of the hydrographic variables through the ACP showed 73.0% of accumulated variance in the first three components in the coastal zone; in the first axis, an inverse relation to salinity and transparency was observed between nutrients, while in the second component, the relation was inversely related to temperature and dissolved oxygen (Figure 4a). In the inner estuary, the variance accumulated in the first three axes was 71.0%; in component 1, the silicate, phosphate, and nitrite correlated inversely with the transparency, salinity, and dissolved oxygen, whereas in component 2, an inverse correlation was detected between temperature and nitrate (Figure 4b).

Figure 4 Orthogonal projection of the first two components of the principal components analysis in a) coastal zone and b) inland estuary of the Gulf of Guayaquil off Guayas Province between June and December 2012. (TEMP: temperature; salinity, OD: dissolved oxygen, NO2: nitrite, NO3: nitrate, PO4: phosphate, SiO4: silicate, Trans: transparency). 

Trophic levels

The range of variation in the trophic index values was between 3 and 7, with significant differences in the trophic level between the coastal zone and the inner estuary, the latter being the one with the highest values for all nutrients. Thus, for nitrite, the lowest value was observed at station 6, which corresponds to the sampling site farthest from the coast, while the highest values were observed at stations located in the Channel of Cascajal, Balao, and West of the island of Puná (stations 11, 15, and 16, respectively) (Figure 5a and b). For nitrate, the trophic index values were low throughout the coastal zone, while in the inner estuary, all values were greater than 4 Karydis units, especially at station 13, which corresponds to the sector of El Guabo (Figure 5c and d). A similar tendency occurred with phosphate (Figure 5e and f) and silicate (Figure 5g and h).

Figure 5 Seasonal variation of the Karydis trophic index (TI) for a) nitrite, b) nitrate, c) phosphate, and d) silicate in the coastal zone (Coastal) and inland estuary of the Gulf of Guayaquil (Estuary) along the coast of Guayas Province between June and December 2012. 

Microphytoplankton

Seventeen species of microphytoplankton were identified, of which approximately 78% were diatoms, 18% dinoflagellates, 2% cyanobacteria, and 2% silicoflagellates (Annex 1). The average abundance of microphytoplankton was 7.0 x 105 cell/L with a minimum of 4.1 x 105 cell/L in August and a maximum of 10.6 x 105 cell/L in July, showing significant differences between months (KW: 28.73; p <0.05) and between zones (MW-U: 2087; p <0.05), with the greatest abundance in the interior estuary (Figure 6a and b). The average richness was 19 species, and monthly differences (KW: 21.28; p <0.05) were observed, showing a similar tendency to abundance because the lowest value was observed in August (12 species) and the highest in July (23 species). No significant differences in richness (MW- U: 1428; p> 0.05) were observed between zones (Figure 6c and d). The minimum equitability (0.76) was recorded in August and the highest (0.86) in December, with significant differences between months (KW: 12.71, p <0.05) and between zones (MW-U: 12.71, p <0.05), with the highest equitability in the coastal zone (Figure 6e and f).

Figure 6 Monthly variation of a and b) abundance, c and d) richness, e and f) equitability, and g and h) diversity of microphytoplankton in the coastal zone (Coastal) and inland estuary of the Gulf of Guayaquil (Estuary) along the coast of Guayas Province between June and December 2012. 

The average diversity was 3.4 bits/Ind, with the highest value in October (3.8 bits/Ind) and the lowest in August (2.7 bits/Ind), months in which the abundance was lower. Significant differences between months (KW: 19.6; p <0.05) and between zones (MW-U: 19.6; p <0.05) were detected, with the greatest diversity occurring in the coastal zone (Figure 6g and h).

When exploring the similarity relations (MDS- Anosim) between the microphytoplankton communities, significant differences (R: 0.44, p <0.05) were established between the coastal and inland estuary areas of the Gulf of Guayaquil; however, some species are found in both zones, with greater heterogeneity being observed in the coastal zone, with a stress of 0.18 (Figure 7).

Figure 7 Analysis diagram of multidimensional scaling (MDS) of the community structure of microphytoplankton in the coastal zone and inland estuary of the Gulf of Guayaquil along the coast of Guayas Province between June and December 2012. 

When similarities percentages (SIMPER) were analyzed to explore aspects of the internal structure of the inner and coastal estuary areas, differences were noted between the two zones. Paralia sulcata, Nitzschia longissima, Skeletonema costatum, and Guinardia striata were the species that contributed the most to separating the zones (Table 2).

Table 2 Summary of the SIMPER analysis of the microphytoplankton species in the coastal zone and inland estuary of the Gulf of Guayaquil along the coast of Guayas Province between June and December 2012. 

The redundancy analysis (RDA) allowed the relationship between the microphytoplankton structure and the environmental variables of the interior estuary and coastal zone to be studied, showing a correlation of 0.54 and 0.58 in the first two components with a significant Monte Carlo analysis (p <0.05). In the first component, a high positive correlation was observed for diatoms Paralia sulcata, T. nitzschioides, T. frauenfeldii, Navicula transitrans, and Skeletonema costatum, with nutrients and negative correlation with salinity. In the second component, Guinardia striata, Cerataulina pelagica, Nitzschia longissima, Chaetoceros decipiens, and Navicula transitrans var. derasa were significantly correlated with temperature, and in turn, they were inversely related to dissolved oxygen (Figure 8a).

Figure 8 Orthogonal projection of the redundancy analysis in the a) coastal zone and b) interior estuary of the Gulf of Guayaquil along the coast of Guayas Province between June and December of 2012. TEMP: temperature; SAL: salinity; DO: dissolved oxygen; NO2: nitrite; NO3: nitrate; PO4: phosphate; SiO4: silicate; Theccen: Thalassionema eccentrica; Csnrad: Coscinodiscus radiatus; Melomon: Melosira moniliformis; Parsul: Paralia sulcata; Thlin: Thalassiosira limnetica; Csnsp: Coscinodiscus sp.; Chdec: Chaetoceros decipiens; Ntlong: Nitzschia longissima; Odsin: Odontella sinensis; Guinstr. Guinardia striata; Cerpel: Pelagic Cerataulina; Rhimb: Rhizosolenia imbricata; Chcurv: Chaetoceros curvisetus; Navtransde: Navicula transitrans var. derasa; Navtrans: Navicula transitrans; Lepdan: Leptocylindrus danicus; Sklcos: Skeletonema costatum; Thnitzs: Thalassiosira nitzschoides; Odmob: Odontella mobiliensis; Thfrau: Thalassionema frauenfeldii. 

In the interior estuary, a correlation of 0.64 was found between the species and environment for the first two components, and the Monte Carlo test was significant (p <0.05). In the first axis, N. longissima, C. decipiens, and S. costatum were associated with temperature and, to a lesser extent, nitrite; Coscinodiscus radiatus and Melosira moniliformis were negatively related to phosphate and nitrate. In the second component, the silicate was inversely correlated with the diatoms T. frauenfeldii, Thalassiosira limnetica, P. sulcata, and N. transitrans, andthedinoflagellate Gyrodinium sp., which, in turn, were significantly related to salinity and dissolved oxygen (Figure 8b).

DISCUSSION AND CONCLUSIONS

The eutrophication processes undergone by estuaries in recent decades have been widely discussed by many authors; these processes occur not only because of the solid and liquid contributions from the natural processes of the rivers that discharge their waters into them but also from the high nutrient content that originates in anthropic activities. This interaction leads to physical processes such as turbidity and biogeochemical processes that generate an effect on the composition and abundance of microphytoplankton, with consequent effects on fisheries, aquaculture, and tourism (Alpine and Cloern, 1992; Paerl et al., 2014).

In the present study, the differences in the hydrographic conditions of the coastal zone and estuary are clear, indicated by the relations among the nutrients, salinity, and transparency that are different for each zone; however, an interaction exists between the zones due to the contributions of the Bay of Guayaquil Estuary, which have a wide reach that affects much of the coastal area (Chiriguaya and Burgos, 1990; Torres et al., 2003), as well as the exchange with the oceanic zone due to the extensive tidal regime on the Ecuadorian coast (Fiedler and Talley, 2006). When the hydrographic variables in the inner estuary were analyzed, the inverse relation between the salinity and dissolved oxygen versus the silicate concentrations is evidence of continental influences across rivers that carry large amounts of sediment and turbid water, which show activity in the biogeochemical processes. Similar results have been reported by O’Boyle and Silke (20109 and Cloern et al. (2014), who emphasized the low concentrations of dissolved oxygen in estuaries.

As for the trophic condition of the study area, the contribution of nutrients of continental origin in the study area was significant; however, the levels reached did not indicate eutrophication, which could result from the location of the sampling stations, as they were located 1 mile from the continental margin, where exchange is high due to the dynamic tidal flow (Twilley et al., 2001; Fiedler and Talley, 2006). However, recorded values greater than 3 Karydis units in nitrogen and phosphorus at the stations located in the interior estuary of the Gulf of Guayaquil indicate that this zone is at the limit of passing from the mesotrophic to the eutrophic state, an important aspect to consider for the management of this area. In this regard, Herrera-Silveira et al. (2002) and Herrera-Silveira and Morales-Ojeda (2009) recommend the use of intermediate categories (oligomesotrophic and mesoeutrophic) because, with only three levels, the Karydis index does not allow detection of trends from one level to another as all allowed with more advanced detection indexes of trophic status, a methodology that could be considered in future research. In this sense, studies showed that Cienfuegos Bay in Cuba was considered mesotrophic (Seisdedo et al., 2010) even though all nutrients presented a trophic index of less than 3. In a coastal lagoon in Mexico, Tapia-González et al. (2008))obtained levels higher than 3, which is why they described the lagoon as mesoeutrophic in nitrate and silicate; these results are similar to the averages found in the interior estuary of Guayas. The levels are not alarming, but they indicate of an initial state of eutrophication produced by river inputs that are exacerbated by anthropogenic activities, requiring medium-term evaluation to exercise control plans (Cloern et al., 2016).

On the other hand, the greatest diversity was recorded in October, with the lowest in August; Likewise, in the coastal zone, the diversity was higher than in the interior estuary, which is attributable to the great turbidity that exists in this latter zone and originates from the contribution of alien materials from contributing rivers because tropical aquatic ecosystems, especially those at low altitudes, such as rivers and estuaries, are usually very muddy due to the high material leaching that occurs in these regions. This turbidity prevents the passage of light, a situation that directly affects the productivity and energy flow of the ecosystem, as it affects phytoplankton development and diversity (Roldán and Ramírez, 2008).

When establishing correlations between phytoplankton species and the environment, evidence of independent processes is important to consider. In other words, in the coastal zone, Paralia sulcata, T. frauenfeldii, Skeletonema costatum, and T. nitzschioides were tolerant to wide areas of salinity as well as being associated to areas with important nutrient inputs (Pednekar et al., 2014; Rakshit et al., 2015), as is the normal tendency of the ecosystem of the Gulf of Guayaquil (Chiriguaya and Burgos, 1990; Gualancañay et al., 2003; Jimenez, 2008). Guinardia striata, Cerataulina pelagica, and C. decipiens, in contrast, would be associated with waters of low temperature and high concentrations of dissolved oxygen, which are representative of the flow of the Humboldt current (Okuda et al., 1983; Macias, 1999; Pennington et al., 2006).

In the estuarine zone, for the first component, the RDA showed C. decipiens and Nitzschia longissima to be associated to the temperature and nitrite, while showing an inverse correlation to nitrate and phosphate; these relations would indicate activity in biogeochemical processes that are typical of estuaries (Huisman et al., 2004), and species such as Coscinodiscus radiatus and Melosira moniliformis are indicative of areas with high nutrient concentrations (De et al., 2015). In component 2, species associated with low salinity and dissolved oxygen, as well as to high silicate, are present, such as P. sulcata, T. limnetica, N. transitrans, and Gyrodinium sp., which indicate that fluvial contributions are the main source of eutrophication (Day et al., 1989; Ninčević-Gladan et al., 2015).

Importantly, although the coastal and estuarine areas of the study area are in constant interaction, the characteristic species of each area can be distinguished, with the estuarine community being more homogeneous than the coastal zone. This is because the estuary is subject to high turbulence; thus, species are limited in terms of light intensity and are adapted to low oxygen concentrations. Therefore, Paralia sulcata, Skeletonema costatum, and T. nitzschioides, which have been registered as indicators of eutrophic waters (Huisman et al., 2004; Garmendia et al., 2013), should be considered for environmental baseline studies and environmental monitoring of the interaction between estuaries and coastal zone.

In summary, when compared to the Guayas Province, the hydrographic conditions in the coastal zone and inland estuary of the Gulf of Guayaquil were different in the structure, abundance, and diversity of microphytoplankton. In the coastal zone, the dominant species were Nitzschia longissima, Guinardia striata, and Leptocylindrus danicus, and in the interior estuary, S. costatum, Thalassionema frauenfeldii, and T. nitzschioides, which are more tolerant to turbulence, low oxygen, and low light intensity (Huisman et al., 2004).

In addition, the entire study area was determined to be mesotrophic; however, the values in the inner estuary were higher, probably because the estuary receives contributions from anthropic activities more directly, and although the trophic levels 1.8 km from the coastal margin in front of Guayas Province did not indicate eutrophication, studies are recommended at a distance of approximately 500 m to reflect the situation of the ecosystem in an area closer to the coast; in addition, management plans should be developed to avoid situations where contributions from drainage basins and urban settlements increase coastal trophic conditions.

ACKNOWLEDGMENTS

We thank Pilar Solís, Director of the National Fisheries Institute (Instituto Nacional de Pesca, INP) for supporting the development of this work and for her collaboration in the revision of the preliminary version. Additionally, we thank Mario Hurtado and Esteban Elías for the elaboration of the map of this manuscript. This work was carried out with data from the project “Condiciones biológica-pesqueras y artes de pesca en la franja marino costera dentro la primera milla náutica de la costa ecuatoriana” [Biological-fishing conditions and fishing techniques in the coastal marine strip within the first nautical mile of the Ecuadorian coast] of the INP, which was financed by the National Secretariat of Higher Education Science Technology and Innovation (SENESCYT) of Ecuador.

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ANEXES

Annex 1. List of microphytoplankton species identified along the coast of Guayas Province between June and December 2012.

Diatomeas pennadas

1 Achnanthes sp.

2 Amphora cf. arenicula

3 Amphora macilenta Gregory

4 Amphora sp.

5 Asterionellopsis glacialis (Castracane) F. E. Round

6 Bacillaria paxillifera (O. F. Müller) Hendey

7 Climacosphenia moniligera Ehrenberg

8 Cocconeis placentula Ehrenberg

9 Cocconeis pseudomarginata Gregory

10 Cylindrotheca closterium (Ehrenberg) Reimann & J.C.Lewin

11 Diploneis bombus Ehrenberg

12 Diploneis bombus var. bombiformis (Cleve) Hustedt

13 Diploneis sp.

14 Diploneis splendida Cleve

15 Entomoneis alata (Ehrenberg) Ehrenberg

16 Fragilariopsis doliolus (Wallich) Medlin & Sims

17 Gyrosigma balticum (Ehrenberg) Rabenhorst

18 Gyrosigma fasciola (Ehrenberg) J. W. Griffith & Henfrey

19 Lioloma delicatulum (Cupp) Hasle

20 Lioloma pacificum (Cupp) Hasle

21 Meuniera membranacea (Cleve) P. C. Silva

22 Navicula cruciculoides C. Brockmann

23 Navicula directa (W. Smith) Ralfs

24 Navicula distans (W. Smith) Ralfs

25 Navicula lanceolata Ehrenberg

26 Navicula sp.

27 Navicula transitrans var. derasa (Grunow) Cleve

28 Navicula transitrans var. derasa f. delicatula Heimdal

29 Nitzschia acicularis (Kützing) W.Smith

30 Nitzschia longissima (Brébisson) Ralfs

31 Nitzschia navicularis (Brébisson ex Kutzing) Grunow

32 Nitzschia recta Hantzsch ex Rabenhorst

33 Nitzschia sigma (Kutzing) W. Smith

34 Nitzschia sp.

35 Placoneis gastrum (Ehrenberg) Mereschkovsky

36 Pleurosigma acuminatum (Kutzing) Grunow

37 Pleurosigma acutum Norman ex Ralfs

38 Pleurosigma angulatum (Queckett) W. Smith

39 Pleurosigma elongatum W. Smith

40 Pleurosigma formosum W. Smith

41 Pleurosigma nicobaricum Grunow

42 Pleurosigma normanii Ralfs

43 Pleurosigma sp.

44 Pseudo-nitzschia delicatissima (Cleve) Heiden

45 Pseudo-nitzschia lineola (Cleve) Hasle

46 Pseudo-nitzschia pacifica Cupp

47 Pseudo-nitzschia pungens (Grunow ex Cleve) Hasle

48 Pseudo-nitzschia seriata Cleve

49 Surirella febigerii F. W. Lewis

50 Surirella sp.

51 Thalassionema frauenfeldii (Grunow) Hallegraeff

52 Thalassionema nitzschioides (Grunow) Mereschkowsky

53 Tryblionella hungarica (Grunow) Frenguelli

54 Ulnaria ulna (Nitzsch) P. Compere

Diatomeas céntricas

55 Actinoptychus senarius (Ehrenberg) Ehrenberg

56 Actinoptychus splendens (Shadbolt) Ralfs ex Pritchard

57 Bacteriastrum delicatulum Cleve

58 Bacteriastrum furcatum Shadbolt

59 Bacteriastrum hyalinum Lauder

60 Biddulphia alternans (J. W. Bailey) Van Heurck

61 Cerataulina pelagica (Cleve) Hendey

62 Chaetoceros affinis Lauder

63 Chaetoceros brevis F. Schütt

64 Chaetoceros coarctatus Lauder

65 Chaetoceros compressus Lauder

66 Chaetoceros convolutus Castracane

67 Chaetoceros curvisetus Cleve

68 Chaetoceros danicus Cleve

69 Chaetoceros decipiens Cleve

70 Chaetoceros denticulatus Lauder

71 Chaetoceros didymus Ehrenberg

72 Chaetoceros didymus var.protuberans (H. S. Lauder) H. H. Gran & K. Yendo

73 Chaetoceros eibenii Grunow in Van Heurck

74 Chaetoceros laciniosus Schütt

75 Chaetoceros lorenzianus Grunow

76 Chaetoceros peruvianus Brightwell

77 Chaetoceros radicans Schütt

78 Chaetoceros sp.

79 Chaetoceros tortissimus Gran

80 Coscinodiscus centralis Ehrenberg

81 Coscinodiscus concinnus W. Smith

82 Coscinodiscus curvatulus Grunow ex A. Schmidt

83 Coscinodiscus oculus-iridis (Ehrenberg) Ehrenberg

84 Coscinodiscus perforatus Ehrenberg

85 Coscinodiscus radiatus Ehrenberg

86 Coscinodiscus sp.

87 Coscinodiscus wailesii Gran y Angst

88 Cyclotella bodanica Eulenstein ex Grunow

89 Cyclotella comta (Ehrenberg) Kützing

90 Cyclotella meneghiniana Kützing

91 Cyclotella sp.

92 Cyclotella striata (Kutzing) Grunow

93 Dactyliosolen fragilissimus (Bergon) Hasle y Sivertsen

94 Dactyliosolen phuketensis (B. G. Sundström) G. R. Hasle in C. R. Tomas

95 Detonula pumila (Castracane) Gran

96 Ditylum brightwellii (T. West) Grunow

97 Eucampia cornuta (Cleve) Grunow

98 Eucampia zodiacus Ehrenberg

99 Guinardia delicatula (Cleve) Hasle y Sivertsen

100 Guinardia flaccida (Castracane) H. Peragallo

101 Guinardia striata (Stolterfoth) Hasle y Syvertsen

102 Helicotheca tamesis (Shrubsole) Ricard

103 Hemiaulus hauckii Grunow ex Van Heurck

104 Hemiaulus membranaceus Cleve

105 Hemiaulus sinensis Greville

106 Lauderia annulata Cleve

107 Leptocylindrus danicus Cleve

108 Leptocylindrus mediterraneus (H. Peragallo) Hasle

109 Leptocylindrus minimus Gran

110 Lithodesmium undulatum Ehrenberg

111 Melosira moniliformis (O. F. Muller) C. Agardh

112 Odontella aurita (Lyngbye) C. Agardh

113 Odontella dubia (Brightwell) Cleve

114 Odontella mobiliensis (Bailey) Grunow

115 Odontella sinensis (Greville) Grunow

116 Odontella sp.

117 Paralia sulcata (Ehrenberg) Cleve

118 Plagiogrammopsis vanheurekii (Grunow) Hasle, Von Stosch, & Syvertsen

119 Planktoniella sol (Wallich) Schutt

120 Proboscia alata (Brightwell) Sundström

121 Pseudosolenia calcar-avis (Schutze) B. G. Sundström

122 Rhizosolenia bergonii H. Peragallo

123 Rhizosolenia hebetata J. W. Bailey

124 Rhizosolenia hyalina Ostenfeld

125 Rhizosolenia imbricata Brightwell

126 Rhizosolenia ostenfeldii B. G. Sundstrom

127 Rhizosolenia robusta G. Norman ex Ralfs

128 Rhizosolenia setigera Brightwell

129 Rhizosolenia styliformis Brightwell

130 Skeletonema costatum (Greville) Cleve

131 Stephanopyxis palmeriana (Greville) Grunow

132 Stephanopyxis turris (Greville) Ralfs

133 Thalassiosira angulata (W. Gregory) Hasle

134 Thalassiosira anguste-lineata (A. Schmidt) G. Fryxell & Hasle

135 Thalassiosira eccentrica (Ehrenberg) Cleve

136 Thalassiosira lineata Jousé

137 Thalassiosira punctigera (Castracane) Hasle

138 Thalassiosira sp.

139 Thalassiosira subtilis (Ostenfeld) Gran

Dinoflagelados

140 Ceratium dens Ostenfeld & Schmidt

141 Ceratium falcatiforme E. G. Jorgensen

142 Ceratium furca (Ehrenberg) Claparède & Lachmann

143 Ceratium fusus (Ehrenberg) Dujardin

144 Ceratium incisum (Karsten) E.G.Jørgensen

145 Ceratium lineatum (Ehrenberg) Cleve

146 Ceratium pentagonum Gourret

147 Ceratium strictum (Okamura y Nishikawa) Kofoid

148 Ceratium teres Kofoid

149 Ceratium trichoceros (Ehrenberg) W. S. Kent

150 Dinophysis acuminata Claparede and Lachmann

151 Dinophysis caudata Saville - Kent

152 Dinophysis norvegica Claparede & Lachmann

153 Diplopelta asymmetrica (Mangin) Balech

154 Gonyaulax polyedra Stein

155 Gonyaulax polygramma Stein

156 Gonyaulax sp.

157 Gymnodinium catenatum H. W. Graham

158 Gyrodinium sp.

159 Ornithocercus sp.

160 Ornithocercus steinii Schutt

161 Oxyphysis oxytoxoides Kofoid

162 Prorocentrum gracile Schutt

163 Prorocentrum micans Ehrenberg

164 Prorocentrum rostratum Stein

165 Prorocentrum vaginulum (Stein) Dodge

166 Protoperidinium depressum (Bailey) Balech

167 Protoperidinium latispinum (Mangin) Balech

168 Protoperidinium pentagonum (Gran) Balech

169 Protoperidinium sp.

170 Pyrocystis noctiluca Murray ex Haeckel

171 Pyrophacus sp.

172 Pyrophacus steinii (Schiller) Wall & Dale

Cianobacterias

173 Anabaena sp.

Received: November 10, 2016; Accepted: August 27, 2017

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