# The Relationship between Mollusks and Oxygen Concentrations in Todos Santos Bay, Baja California, Mexico

Authors: J. Gabriel Kuk-Dzul; Victoria Díaz-Castañeda
Journal: Journal of Marine Biology
 (2016)

---

## Abstract

This study describes the relationship between mollusks, physicochemical properties of seawater, and sediments under natural conditions of low impact. Thirty-nine stations were sampled in October 1994 using a Van Veen grab (0.1 m−2). Temperature, salinity, and dissolved oxygen (DO) concentrations of bottom water were obtained with a CTD. Organic matter content and sediment grain analysis were determined. A total of 836 mollusks were collected. Gastropoda was the most abundant (52%) and diverse class with 27 genera, followed by Bivalvia with eight genera and Scaphopoda with only one genus. According to CCA analysis, dominant mollusks were significantly related with high DO concentrations.Donax,Natica,Acteocina,Bulla,Anachis,Odostomia, andCrucibulum can be classified as sensitive genera because they were found mainly in high oxygen concentrations (3.1–5.6 mL L−1); on the other hand,Cardiomya,Nuculana,Laevicardium,Chione,Truncatella, andDentalium can be classified as tolerant genera (1.0–5.6 mL L−1). Todos Santos Bay hosts a diverse malacological fauna (36 genera); our results show that the dominant genera were mainly related to high dissolved oxygen concentrations. Mollusks can be a useful tool in environmental monitoring programs related with oxygen depletion in coastal areas.


---

## Body

## 1. Introduction

The phylum Mollusca is the second more diverse in number of species only overcome by the phylum Arthropoda [1]. Mollusks play an important role in the recycling of nutrients; they are important members of food webs as preys and predators [2], some mollusks are exploited commercially by human populations [3–5], and other species are used to get chemical compounds for the pharmaceutical industry [6]. Besides, mollusks have been employed as pollution bioindicators in coastal environments [7, 8].Pollution in the coastal areas is usually related to human activities, for example, discharge of wastewater, agricultural run-off, discharges from desalination plants, and mariculture. Hypoxic and anoxic conditions prevail in some aquatic systems, such as bays, coastal lagoons, or estuaries; however, oxygen depletion has increased in coastal environments since the 1960s [9]. Mariculture and other anthropogenic activities can favor eutrophication in aquatic systems causing oxygen depletion with important ecological consequences.Todos Santos Bay (TSB) is located in the northwest coast of Baja California, 100 km from the US-Mexico border at 31°42′–31°53′ N; 116°37′–116°49′ W. It has an area of approximately 168 km2 [10]; the limits are Punta San Miguel to the north, Punta Banda to the south, and Todos Santos islands to the west (Figure 1). Approximately 80% of the bay lies between 10 and 50 m in depth [11, 12]; a submarine canyon is located at the southwest entrance of the bay reaching depths of nearly 500 m [13]. Within TSB the northwestern winds are dominant and variability is due to the high pressure system centered to the west of California. The main direction of superficial current is towards the southeast entering by the mouth. This current reaches up to ~35 m in depth; in the shallow coast of the bay (<35 m) the circulation is anticyclonic [14]. Currents are stronger in the southern area and near the mouth and weaker in the north and near the coast [15]. In the southern part aquaculture of musselsMytilus edulis and oystersCrassostrea gigas takes place since 1991 and 1994, respectively, and from 2000 to 2007 the annual mean production ofCrassostrea gigas has been 590 ton yr−1 [16]. Occasionally the oyster culture increases the occurrence of anoxic conditions in the overlying water [17], but usually there are no differences of DO concentrations in oyster farming areas and control sites [18]. Hydrodynamic conditions at TSB can determine the local erosion and deposition of sediments as well as the oxygen supply at locations inside the bay.Figure 1
Study area in Todos Santos Bay, Baja California: locations of sampling stations.Most mollusks studies in the Mexican Pacific Ocean are related to species of commercial importance and some pollution indicators [19–23], and few studies have dealt with noncommercial species, for example, in the coastal and continental shelf of Jalisco and Colima and the Gulf of Tehuantepec [24, 25]. Recently, other studies of the malacological fauna in the region of Baja California were published [26–28]. One of these studies found 122 genera and 202 species; 11 endemic species of Gastropoda and Polyplacophora were collected [28]. However, in Todos Santos Bay, there are no malacological studies published although there are some publications of macroinvertebrate fauna, such as isopods and polychaetes [11, 29].Oxygen depletion in seawater impacts the abundance and distribution of benthic fauna. The response can vary in different species but a progressive stress has been observed as DO concentration decreases [30]. Although mollusks have been considered reliable indicators of human impacts [8, 31], there is little information on how these organisms are associated under natural conditions with oxygen concentrations. Crucial to our ecological understanding of coastal ecosystems are benthic communities; benthic fauna responds to anthropogenic disturbances and is therefore a useful tool for tracking environmental alterations [32, 33]. The aim of this work is to determine the relationships between mollusk abundance and physicochemical properties of seawater and sediments under natural conditions of low impact.


## 2. Material and Methods

### 2.1. Sampling

A total of 39 stations (Figure1) were sampled with a Van Veen grab (0.1 m−2) in October 1994 aboard the research vessel Francisco de Ulloa. Physicochemical data from the water column were obtained using a CTD at each station. Environmental data measured included temperature (°C), salinity, and dissolved oxygen (mL L−1) at 1 m above the seafloor. Two sediment samples were taken per station, the first to analyze the macrofauna and the second to study sediment granulometry and organic matter content. Samples for macrofauna were sieved through nested 1.0 and 0.5 mm mesh screens, and organisms were previously relaxed with an MgSO4 solution during 10 min and fixed in 7% buffered formalin solution. In the laboratory, macrofauna was sorted to different zoological groups and stored in 70% ethanol. Mollusca were identified to genus level using different taxonomic keys [34, 35]. Abundance (ind 0.1 m−2) per station and total abundance per genus (sum of all individuals) were calculated.In sediments, organic matter content was determined by ignition loss [36]. To analyze sediment granulometry, 50 g samples were dry-sieved, through a series of mesh sizes (from 4.75 to −4ϕ), and mechanically shaken for 10 min. Sediments retained on each sieve were weighted and the percentage of each granulometric category was calculated [37].Environmental factors were associated with Pearson correlation (ρ, P<0.05). Olmsted and Tukey test [38] was used to determine the frequent and abundant genera which were considered as dominant genera; total abundance data were transformed to log⁡(X+1), and frequency was calculated dividing number of stations where the genera were present between total numbers of stations sampled and multiplied by 100. All genera that exceeded the mean of these values were considered dominant.Factor analysis (FA) and principal component analysis (PCA) are indirect ordination methods for one matrix, and assume that variables have linear combinations. These analyses are similar to DCA but DCA uses a chi-square distance; besides, DCA give us the length of the gradient along the first axis; when the gradient length is <3, a redundancy analysis (RDA) is recommended, and when it is >4, a canonical correspondence analysis (CCA) is used according to ter Braak and Šmilauer [39]. Furthermore, DCA is a preliminary analysis previous to achieving a direct gradient analysis which relates two data matrices (biological and environmental factors).In order to establish the relationship between mollusks and environmental factors, three detrended canonical analyses (DCA) were carried out with three abundance matrices: one without transformation, square root transformation, andlog⁡(X+1) transformation. Subsequently, a PCA or CCA analysis was performed depending on the gradient length. Direct gradient analysis relates abundance and composition of fauna to environmental factors, but this analysis does not explain which species are strongly related to the main gradient. However, this can be done with a generalized linear model (GLM) which does not assume a normal distribution. The relationship between abundance of each dominant mollusk genus and DO was analyzed using a negative binomial GLM using the R software package ver. 3.1.2 [40].


## 2.1. Sampling

A total of 39 stations (Figure1) were sampled with a Van Veen grab (0.1 m−2) in October 1994 aboard the research vessel Francisco de Ulloa. Physicochemical data from the water column were obtained using a CTD at each station. Environmental data measured included temperature (°C), salinity, and dissolved oxygen (mL L−1) at 1 m above the seafloor. Two sediment samples were taken per station, the first to analyze the macrofauna and the second to study sediment granulometry and organic matter content. Samples for macrofauna were sieved through nested 1.0 and 0.5 mm mesh screens, and organisms were previously relaxed with an MgSO4 solution during 10 min and fixed in 7% buffered formalin solution. In the laboratory, macrofauna was sorted to different zoological groups and stored in 70% ethanol. Mollusca were identified to genus level using different taxonomic keys [34, 35]. Abundance (ind 0.1 m−2) per station and total abundance per genus (sum of all individuals) were calculated.In sediments, organic matter content was determined by ignition loss [36]. To analyze sediment granulometry, 50 g samples were dry-sieved, through a series of mesh sizes (from 4.75 to −4ϕ), and mechanically shaken for 10 min. Sediments retained on each sieve were weighted and the percentage of each granulometric category was calculated [37].Environmental factors were associated with Pearson correlation (ρ, P<0.05). Olmsted and Tukey test [38] was used to determine the frequent and abundant genera which were considered as dominant genera; total abundance data were transformed to log⁡(X+1), and frequency was calculated dividing number of stations where the genera were present between total numbers of stations sampled and multiplied by 100. All genera that exceeded the mean of these values were considered dominant.Factor analysis (FA) and principal component analysis (PCA) are indirect ordination methods for one matrix, and assume that variables have linear combinations. These analyses are similar to DCA but DCA uses a chi-square distance; besides, DCA give us the length of the gradient along the first axis; when the gradient length is <3, a redundancy analysis (RDA) is recommended, and when it is >4, a canonical correspondence analysis (CCA) is used according to ter Braak and Šmilauer [39]. Furthermore, DCA is a preliminary analysis previous to achieving a direct gradient analysis which relates two data matrices (biological and environmental factors).In order to establish the relationship between mollusks and environmental factors, three detrended canonical analyses (DCA) were carried out with three abundance matrices: one without transformation, square root transformation, andlog⁡(X+1) transformation. Subsequently, a PCA or CCA analysis was performed depending on the gradient length. Direct gradient analysis relates abundance and composition of fauna to environmental factors, but this analysis does not explain which species are strongly related to the main gradient. However, this can be done with a generalized linear model (GLM) which does not assume a normal distribution. The relationship between abundance of each dominant mollusk genus and DO was analyzed using a negative binomial GLM using the R software package ver. 3.1.2 [40].


## 3. Results

Environmental factors are given in Table1. The sampling depth at Todos Santos Bay varied between 7 and 400 m, temperature between 8.1 and 17.8°C, salinity from 33.4 to 34.2‰, dissolved oxygen from 1.0 to 5.6 mL L−1, organic matter content from 0.5 to 10.6%, and silt-clay fraction from 1.2 to 99% [11]. Of these environmental factors, depth was positively correlated with salinity (ρ=0.95, P<0.05) and OM (ρ=0.92, P<0.05), and DO was positively correlated with temperature (ρ=0.91, P<0.05) (Table 2).Table 1
Environmental factors measured in Todos Santos Bay, Baja California.
Station Depth (m) Temperature (°C) DO (mL L−1) Salinity OM (%) Silt-clay (%) 1 18 17.3 5.1 33.4 2.0 92.9 2 19.6 15.6 5.4 33.4 1.5 96.9 3 20 14.7 4.9 33.4 0.9 98.1 4 20 13.9 4.6 33.4 0.5 1.2 5 19.2 16.2 5.4 33.4 1.2 95.7 6 15 15.0 5.0 33.4 0.9 95.4 7 6.9 17.8 5.1 33.4 1.3 73.3 8 19 14.6 5.1 33.4 1.8 94.5 9 26.5 14.7 4.8 33.4 1.2 86.5 10 25.8 14.2 5.2 33.4 1.6 96.8 11 24.6 13.8 5.1 33.4 1.0 98.3 12 24.8 14.1 5.5 33.4 1.3 98.1 13 24 14.5 5.6 33.4 3.1 20.4 14 19 14.7 5.1 33.4 1.9 78.2 18 29 13.9 3.5 33.5 1.3 99.0 19 30 13.8 4.2 33.5 0.9 98.9 20 38 — — — 2.8 83.0 21 47.7 13.0 3.2 33.5 3.2 96.0 22 51 13.3 3.8 33.5 2.3 95.1 23 46 13.9 4.7 33.4 2.2 87.3 24 62.5 12.5 3.5 33.6 4.4 78.8 25 102.2 11.7 2.1 33.8 2.3 40.3 26 210 9.7 1.4 34.2 9.1 60.6 27 188 10.6 1.3 34.0 6.1 84.6 28 47.7 13.3 3.4 33.5 2.0 97.4 29 37.5 13.7 4.0 33.5 1.8 97.9 30 34 13.7 4.6 33.4 — — 31 34.5 13.7 3.2 33.5 — — 36 43.6 13.0 3.5 33.5 1.5 32.9 37 165 10.2 1.4 34.1 7.4 88.0 38 238 9.1 1.4 34.2 5.6 95.5 39 342 8.2 1.1 34.2 10.6 84.4 40 75 12.5 3.1 33.6 4.8 14.8 41 400 — — — — 95.8 43 295 8.1 1.0 34.2 — 98.4 44 63.6 12.0 2.9 33.7 3.6 98.4 45 27.5 14.9 5.2 33.4 1.1 98.4 46 22.7 14.4 4.5 33.4 2.1 91.1 47 18.2 15.6 4.9 33.4 2.3 91.1Table 2
Correlation coefficient of environmental factors, dissolved oxygen (DO), and organic matter (OM);N=34, ∗P>0.05.
Environmental factors Depth Temperature DO Salinity OM Silt-clay Depth (m) 1.00 Temperature (°C) −0.88∗ 1.00 DO (mL L−1) −0.87∗ 0.91∗ 1.00 Salinity 0.95∗ −0.90∗ −0.93∗ 1.00 OM (%) 0.92∗ −0.82∗ −0.82∗ 0.90∗ 1.00 Silt-clay (%) −0.05 0.13 0.11 −0.06 −0.11 1.00A total of 836 mollusks were collected: Gastropoda (52%), Bivalvia (41%), and Scaphopoda (7%). Gastropoda was the most abundant and diverse class with 27 genera, followed by Bivalvia with eight genera and Scaphopoda with only one genus (Table3). According to Olmstead and Tukey’s method 13 genera were dominant which means they were extensively distributed and abundant, log⁡(X+1)>1.27 ind = 18 ind, and frequent, FO>11.2% (Table 3).Table 3
Abundance and frequency of mollusks in Todos Santos Bay. Dominant genera∗.
Class Genera Total abundance (ind) Frequency (%) Bivalvia Donax ∗ 120 48.8 Nuculana ∗ 67 41.5 Laevicardium ∗ 41 17.1 Cardiomya ∗ 41 24.4 Chione ∗ 25 14.6 Modiolus 17 14.6 Pecten 16 12.2 Solen 13 9.8  Gastropoda Anachis ∗ 40 24.4 Odostomia ∗ 35 12.2 Truncatella ∗ 30 12.2 Acteocina ∗ 26 12.2 Crucibulum ∗ 23 12.2 Epitonium 22 9.8 Natica ∗ 19 12.2 Nassarius 18 7.3 Bulla ∗ 18 17.1 Caecum 18 9.8 Bittium 18 4.9 Olivella 16 9.8 Turbonilla 16 7.3 Jenneria 15 7.3 Lacuna 15 7.3 Calyptraea 14 4.9 Polimices 13 14.6 Barleeia 12 7.3 Pyramidella 11 4.9 Cyclostremiscus 11 4.9 Assiminea 10 7.3 Littorina 9 4.9 Teinostoma 8 7.3 Alvinia 7 7.3 Eulima 4 4.9 Balcis 4 4.9 Cerithidea 4 4.9  Scaphopoda Dentalium ∗ 60 36.6Transformation of abundance data did not increase the percentage of variance explained by environmental factors; thus CCA was performed without data transformation. In order to diminish the factor of inflation of CCA analysis, environmental factor with high correlation (>0.90) was not included in the analysis; thus temperature, salinity, and organic matter were not considered in this analysis. According to stepwise procedure dominant mollusks were related significantly with DO concentrations and explained 10% of the total variance of abundance and composition of Mollusca in Todos Santos Bay (Table4). However, all axes of CCA analysis constructed with these environmental factors were significant which indicates that it is not a random pattern (Figure 2).Table 4
Results of stepwise selection which relates significant environmental factors with mollusk genera.∗P>0.05. Eigenvalues = 3.197.
Explanatory environmental factors Eigenvalue F P Explained variance (%) Dissolved oxygen (mL L−1) 0.333 3.372 0.002∗ 10.4 Silt-clay (%) 0.124 1.325 0.236 3.9 Depth (m) 0.118 1.216 0.258 3.7Figure 2
CCA analysis relations between dominant mollusks, dissolved oxygen (DO), silt-clay, and depth in Todos Santos Bay. First canonical axis (F=3.454, P=0.002); all canonical axes (F=1.995, P=0.004).Thirteen genera were dominant:Donax,Natica,Acteocina,Bulla,Anachis,Odostomia, andCrucibulum, and they can be classified as sensitive genera because they were found mainly in high oxygen concentration (3.1–5.6 mL L−1); on the other hand,Cardiomya,Nuculana,Laevicardium,Chione,Truncatella, andDentalium can be classified as tolerant genera (1.0–5.6 mL L−1) (Figure 3). Of these genera,Truncatella,Bulla,Acteocina, andDonax were related to DO with a negative binomial GLM; the model explained 22–39% of the total variance (Figure 4).Figure 3
Range of dissolved oxygen concentrations for the thirteen dominant genera of mollusks.Figure 4
Negative binomial generalized linear models (lines) fitted for mollusk abundance per genus (dots) in relation to oxygen concentrations.


## 4. Discussion and Conclusion

To our knowledge this is the first malacological study in Todos Santos Bay. In this work we compare our results with similar ecosystems near the study area and other regions. A study performed in 2011 recorded 18 genera at 31° N which is the same latitude as TSB; in that study most stations were located at more than 200 m depth [27]. This genera abundance is low compared with the 36 genera collected in this study; however, it is low compared to tropical Guanabara Bay located in Brazil with 46 genera [41], but it is close to the subtropical Mersin Bay in Turkey with 35 genera [42]. A relevant difference is observed with only eight genera of bivalves found in this study with respect to 55 genera recorded in the subtropical Mazatlán Bay in Mexico [43]. 75% of the genera collected in TSB were gastropods; this high percentage has also been observed in Sinaloa coastal region where 70% of the species belong to this class [28], and according to Castillo-Rodríguez [44] the class Gastropoda is usually more diverse than Bivalvia. Differences in genera composition and abundances can be related to the method used to collect the mollusks (grab, trawl) and also depend on the sampling effort.We did not observe a clear relationship between sediment type and the genera composition of mollusks, which has been described in other malacological studies [41, 42]; but we found that mollusks were related with dissolved oxygen (DO) concentrations near the seafloor (10% of total variance). The differences found could be due to the identification level (genus) while other studies have been done to species level. Some research has described malacological fauna and DO; for example, Zamorano et al. [26] described a segregation of mollusk species from the range of 0.04 to 2.20 mL L−1 DO concentrations in the Gulf of California, Mexico, where bivalves dominated in low DO concentrations and the scaphopodDentalium agassizi was present in almost all the ranges of DO measured. Another work found two groups of species but only gastropods were related to a DO gradient in Guanabara Bay, Rio de Janeiro, Brazil; in this case, the first group was conformed byNatica pusilla,Acteocina bidentate,Olivella minuta, andTurbonilla sp., while the second group was conformed byAnachis isabellei,Heleobia australis, andNassarius vibex [41].Species inhabiting oxygen minimum zones (OMZ) require specific behavioral adaptations; for example, zooplankton migrates to well oxygenated waters and the pteropodDiacria quadridentata reduces oxygen consumption and ammonia excretion in OMZ [45, 46]. Taxa most tolerant to severe oxygen depletion (0.2 mL L−1) in seafloor include calcareous foraminiferans, nematodes, and annelids; calcified invertebrates are usually less tolerant [47]. Under hypoxic conditions, benthic bivalves reduce their burial depth and siphon extension increases during severe hypoxia, provoking anaerobic energy production in the bivalves [48–50].Many benthic organisms (polychaetes, annelids, crustaceans, bivalves, priapulids, and anemones) leave their burrows or tubes to move to the sediment surface or reduce their burial depth in the presence of hypoxia. Other bivalves species stretch their siphons upward into the water column to reach waters with higher oxygen concentrations. They also acknowledge that some gastropods climb structures to reach waters with higher oxygen concentration. Metabolic adaptations to cope with hypoxia include depression of activity in the presence of hypoxia and reduced feeding activity in some crustaceans, mollusks, and polychaetes [51].Mollusks are the macrofauna phylum least sensitive to organic matter enrichment and H2S accumulation, while crustaceans, echinoderms, and annelids such as polychaetes show an intermediate response [52]. In the Adriatic Sea,Corbula gibba is a clear example of an opportunistic species [53] because it is frequently found in hypoxic conditions (<2 mL L−1) and after postanoxic periods [54, 55]. It has been demonstrated thatC. gibba can survive for 78 h in anoxic conditions [56]. In the present study,Dentalium,Chione,Laevicardium, andNuculana were found in low DO concentrations (<2 mL L−1); furthermore, these genera of bivalves are relatively tolerant to low oxygen levels in Todos Santos Bay. The high dominance of tolerant genera and species previously mentioned could be indicators of hypoxic conditions (<2 mL L−1). The increase of human populations in coastal zones contributes to promoting sites with low levels of DO [9]. Other species belonging to families Naticidae and Acteocinidae, such asNatica pusilla andActeocina bidentata, have been found in well oxygenated waters in Guanabara Bay, Rio de Janeiro, Brazil [41]. In our study, generaNatica andActeocina were collected in high oxygen concentrations in the north and central sections of the bay (stations 1, 3, 9, 4, 13, 14, 19, and 21). Although mollusks have been extensively employed in bioaccumulation studies for metal pollution [7, 8, 31], other studies have evaluated their utility as indicator of oxygen depletion in coastal environments [53, 55–57]. We acknowledge that only four genera of the thirteen dominant mollusks collected at TSB were related significantly to DO concentrations by a negative binomial GLM, which means thatTruncatella,Donax,Bulla, andActeocina follow a natural gradient of DO in Todos Santos Bay, Baja California.It has been demonstrated that 50% of coastal marine animal species die after exposure to oxygen levels lower than ~70μmol kg−1 (1.6 mL L−1) [51]. Dissolved oxygen is essential to life [58] because it supports the biological elements (phytoplankton, nekton, and benthos) according to the Water Framework Directive (WFD, 2000/60/EC). The dependence of marine organisms on dissolved oxygen concentrations, such as benthic invertebrates and fish, is necessary in the assessment of ecosystem health of marine environments [58]. This is relevant because in the last two decades there has been an increased concern of anthropogenic impacts in coastal areas and severe oxygen deficiencies have been reported in different regions of the world [59].Benthic indices have been developed to determine the ecological status of marine ecosystems in coastal environments [60, 61]; nevertheless, their use has been limited because we lack information on how organisms are related to environmental factors under natural conditions in other aquatic systems. Some mollusks classified as sensitive genera in this study are included in the lists of BENTIX and AMBI indices in the same ecological group of sensitive organisms [60, 61]. In accordance with the results of this study,Acteocina,Bulla,Anachis, andCrucibulum could be included as tolerant genera in the BENTIX list. It is worth mentioning that the mollusks even at genera level, classified as tolerant in the present study, have been classified as sensitive by both indices lists (BENTIX and AMBI). We demonstrated that these genera embrace a wide range of dissolved oxygen concentrations in TSB. These results must be used with caution because species of the same genera show different mortality rates and behavior under hypoxic conditions in other regions [62]. This approach can be used with other benthic organisms, such as polychaetes and crustaceans to determine the possible classification of the ecological groups according to DO concentrations.The mussel aquaculture in the south part of TSB was not playing an important role in the environmental condition when these samples were collected (1994), as most of the stations (6, 7, 8, and 23) near the aquaculture area presented high dissolved oxygen concentrations ≥4.7 mL L−1. This could be explained because sampling took place during the initial stages of mussel aquaculture activities, and sometimes it has been difficult to find differences of DO concentrations in oyster farming areas and control sites [18]. Another factor could be that currents are stronger in the southern area and near the mouth [15], which could favor that the excess of produced organic matter is transported to other areas. It would be interesting to sample again the stations near the aquaculture area and confirm if this activity has had an effect on dissolved oxygen concentrations during the last 22 years and check if the tolerant mollusk genera determined in this study are still present in this impacted area.In conclusion, Todos Santos Bay hosts a diverse malacological fauna (36 genera) compared to sites at 31° N. Our results show thatDonax,Natica,Acteocina,Bulla,Anachis,Odostomia, andCrucibulum can be classified as sensitive genera, which were strongly related to a narrow range of high dissolved oxygen concentrations, whereasCardiomya,Nuculana,Laevicardium,Chione,Truncatella, andDentalium can be classified as tolerant genera because they live in a wide interval of DO concentrations. Mollusca can be a useful tool in environmental monitoring programs related with oxygen depletion as mariculture and other human activities can favor eutrophication in coastal environments.



---

*Source: 5757198-2016-09-07.xml*