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Recruitment of oyster in artificial collectors on the Amazon macrotidal mangrove coast/Recrutamento de ostra em coletores artificiais na costa de manguezais de macromare amazonico.


Oyster spat is the main raw material for oyster culture and can be purchased from specific hatcheries that produce spat, extracted directly from natural banks or obtained by using artificial collectors introduced in the natural environment for their recruitment. In mollusk culture, spat collection with artificial substrates is quite widespread and many traditional oyster producers, as in some regions of Italy, France, China and Japan, still depend to some degree on capturing spat from artificial substrates (MATTHIESSEN, 2001). Due to the difficulty and high cost of spat production in hatcheries, much of the culture of native oysters on the Brazilian coast depends on spats recruited from the natural environment using artificial collectors (PEREIRA et al., 2003).

Collectors are structures that are installed in the environment and used for settlement by oyster larvae and other encrusting organisms reported in water (CASTILHO-WESTPHAL et al., 2015). Nevertheless, to successfully obtain spat in a region, studies must be conducted about the reproductive period, the environmental conditions favorable to settlement, substrate preference, ideal depth for placing collectors, type of collector, angle of the collector sheets, shading, as well as the time of year of the occurrence of larvae apt for settlement (CHRISTO & CRUZ, 2009).

In oyster culture, a variety of materials have been used for recruiting oyster spats in the natural environment, such as mollusk shells, mangrove roots, car tires, roof tiles, cement/asbestos sheets, granite, fiberglass, stainless steel, PET bottles and PVC ceiling sheets (LEE et al., 2012). BUITRAGO & ALVARADO (2005) affirmed that many collectors tested were considered inadequate because they were expensive, difficult to build, made of non-durable materials (for example roof tiles) or because it was difficult to remove young oysters from the materials (as with the oyster shells). A substrate suitable for spats collection must be economically accessible, biologically acceptable and environmentally favorable (SONIAT & BURTON, 2005). Collectors made of PET bottles and PVC boards are easily found, low cost, resistant and effective for recruiting spats (BUITRAGO & ALVARADO, 2005).

Until now, we have no knowledge of data published about spat recruitment on the Amazon Macrotidal Mangrove Coast (AMMC) of Maranhao State. From this perspective, the purpose of this study was to determine the effectiveness of three types of collectors, made of low-cost recycled materials for spat recruitment and verify the period of year for spat recruitment, and environmental conditions that maximize recruitment. This is a way of contributing both to the scientific knowledge about the issue, and to the greater efficiency in spat collection to meet demands of producers in the region studied.


The study was conducted in the estuary area of Raposa (Maranhao state) of northeastern Brazil using two locations: point I (Raft) and point II (Mangrove). At point I (2[degrees]25'40"S and 44[degrees]05'44"W), collectors were disposed vertically on a floating raft used for oyster culture and remained submerged at both low and high tide, suffering strong influence from the currents. Each collector was tied at the far end to a 2-kilos weight to remain vertical. At point II (2[degrees]25'06"S and 44[degrees]4'43"W), collectors were fixed vertically on the aerial mangrove roots, exposed to the air at low tide in an area protected from currents.

The experiment was carried out for 12 months. Three treatments (transparent PET collectors, green PET collectors and PVC sheets), with three repetitions of each were installed at points I and II. Each bottle collector (transparent PET and green PET) was composed of 21 half bottles, that were positioned in the collector with the convex part facing down and separated from each other with a 5 cm PVC spacer, each one having a total area of 15,693.72[cm.sup.2]. The collector made of PVC (polyvinyl chloride ceiling sheets) had a total area of 14,422.8[cm.sup.2], and was composed of 21 sheets, which were also separated with 5cm spacers. The total length of each collector was 120cm, and at the time of analysis each collector was divided into 3 depths (D1:0-40cm; D2: 41-80cm and D3: 81-120cm) (Figure 1).

Collectors remained 45 days in the water and were replaced for new ones at each sampling period. At each sampling, the fixed spats were counted, for collector and for each depth (D1; D2 and D3).

With the help of a digital caliper (WESTERN[R]), the shell height was measured (inmm) for 50 spat per depth, 150 per type of collector, for a total of 2,700 individuals measured per sampling date. After the counting of the total number of spats, there was determined the density of spat fixation. This density was obtained by dividing the total number of spats on each sheet (PET or PVC) by their respective area, which was 686.8[cm.sup.2], for the PVC collector, and 747.32[cm.sup.2] for the PET bottles.

For the identification of oyster species at the recruitment points, genetic tests were performed on the individuals fixed in the collectors, randomly selected by sampling. This identification was performed by multiplex PCR of oysters of the genus Crassostrea, described by MELO et al. (2013).

Dissolved oxygen (mg [L.sup.-1]), pH, temperature ([degrees]C), salinity (YSI Multiprobe 556MPS) and water transparency (cm) (Secchi disc) were monitored every two weeks. For Chl-a (mg [m.sup.-3]) and suspended particulate matter (organic and inorganic fraction) (mg [L.sup.-1]), two liters of water were collected every two weeks at each point, which were stored and transported in a thermal tank to the laboratory. The determination of the Chl-a concentration was performed by spectrophotometry using the JEFFREY & HUMPHREY methodology (1975). The fractions of total particulate matter (TPM), particulate organic matter (POM) and particulate inorganic matter (PIM) were determined according to the methodology described by CUBILLO et al. (2012). The data for rainfall for the municipality of Raposa was provided by the Nucleo de Geoprocessamento [Geoprocessing Center] of the Universidade Estadual do Maranhao [Maranhao State University].

For all the data, when distinct numbers were presented, normality was analyzed using the Kolmogorov-Smirnov test and homogeneity of variance using Cochran tests (P<0.05). The Student's t test (P<0.05) was used to compare the average values of environmental variables (temperature, salinity, pH, transparency, dissolved oxygen, chlorophyll a, total particulate matter, and organic and inorganic matter) between points I and II, and between the rainy and dry periods at each location. To evaluate the influence of factors (type of collector, location, period and depth) upon density and height of the spats, the Multifactorial Variance Analysis (MANOVA) and the Tukey test (P<0.05) were used. The data were analyzed using the Statistica version 7.0 (STATSOFT, 2004). Correlation between the biological parameters (spat density and height) and the environmental parameters were placed in evidence through the principal component analyses (PCA) which was carried out using the statistical software Palaeontological Statistics Past v.2.17c (HAMMER, 2012).


In relation to the environmental variables, it was reported that at point I (raft) the average values for temperature and salinity were significantly higher in the dry period, while the average concentrations of Chl-a and total particulate matter, organic and inorganic, were significantly higher (P<0.05) in the rainy period. Concerning the seasonal variation at point II (mangrove), the average values for temperature, salinity and transparency were significantly higher in the dry period, while the variables Chl-a and the fractions of TPM, POM and PIM were significantly higher in the rainy period (P<0.05) (Table 1).

Refering to the variation between locations, it was reported that the variables temperature, salinity, transparency and dissolved oxygen were significantly higher at point I (P<0.05), while the fractions of total particulate material (TPM) and inorganics (PIM) were significantly higher at point II (P<0.05). The monthly precipitation in the region studied varied from 0.4 to 296 millimeters, with accumulated amounts of 1.296 and 131.40mm in the rainy and dry periods respectively.

The genetic identification analysis verified the existence of two native species of oysters in both points (I and II). Based on the evaluation of the agarose gel amplifications, was observed single band patterns with 718bp and double bands with 718bp and 377bp, corresponding respectively to the species Crassostrea gasar and Crassostrea rhizophorae (Figure 2).

The principal components analysis indicated a distinction between the samples taken in the rainy period, in comparison to those in the dry period. At both points studied, the environmental variables salinity, temperature, transparency and dissolved oxygen had higher associations to the dry period, while precipitation, pH, particle matter (TPM, PIM and POM) and chlorophyll-a, were associated mainly to the rainy period (Figures 3 and 4). Concerning the behavior of biological variables (spat density and height), at point I it was observed that the development was mainly associated to the physical and chemical variables that were correlated to the rainy period, mainly to density (Figure 3).

Meanwhile at point II, there was a slight trend towards higher values for spat height during the rainy period; although, unlike that observed at point I, the values for density were more associated to the dry period, indicating a direct correlation, mainly for salinity (Figure 4).

During the period of the experiment, a total of 296,845 oyster were recruited, and of these 68,402 were fixed on the transparent PET bottles, 91,779 on the green PET bottles and 136,664 on the PVC sheet collectors.

Multifactorial variance analysis (Table 2) lists the main sources of variation, as well as the relations between the factors and their influence on the density of oyster recruitment per [cm.sup.-2]. In this way, we noted that the factors (type of collector, location and period) and their correlations, significantly influenced results of settlement (P<0.05). Depth and its correlations did not directly influence the rate of oyster settlement (P>0.05).

When the influence of the type of collector on the density of settlement was evaluated, a significant superiority of the collector made with PVC sheets over the collectors made of PET bottles was observed (P<0.05).

Among the collectors made from PET bottles, the color of the bottle significantly influenced spat capturing, obtaining 0.142[+ or -]0.2 spat [cm.sup.-2] with the green bottle and 0.084[+ or -]0.1 spat [cm.sup.-2] with the transparent bottle (P<0.05) (Figure 5A).

The location also presented a significant variation, observing that, for the three types of collectors tested, there was a settlement rate significantly higher at point II (0.260[+ or -]0.2 spat [cm.sup.-2]). Types of collectors did not influence the recruitment of oyster at point I (P>0.05); although, at point II the density of spats fixed in the PVC collectors was significantly higher (P<0.05) (Figure 5B).

In terms of the effect of period on the density of oyster recruited at the collectors tested, it was reported that at point I, there was a low spat fixation during the experiment, and no significant difference was registered (P>0.05). Meanwhile, at point II it was observed that the dry season, which included the period of August to January, was significantly superior to the rainy season, with samplings conducted between February and July (P<0.05) (Figure 5C).

In relation to the biometric analysis of the oyster recruited, multifactorial analysis of variance indicated that all the sources of first order variation (type, depth, location and period) have a significant influence on the size of the spats obtained (P<0.05). Nevertheless, the correlations of depth with the other factors did not significantly influence (P>0.05) the height of the oysters recruited (Table 3).

The average size of the oysters recruited in the region studied was significantly higher in the green PET collectors (11.4[+ or -]5mm) (Figure 6A). In relation to the location, it was reported that the average spat height at location I (14.57[+ or -]2.8mm) was significantly higher than that of the spats collected at location II (6.97[+ or -]2.0mm). Types of collectors did not influence the growth of the spats at location II, nevertheless, at location I, the height of the spats in the green PET collector was significantly higher (P<0.05) (Figure 6B).

Figure 6C indicates a direct relationship between the shell height and increased depth, so, the height of the oysters recruited at depth 1 (10.16[+ or -]4.2mm) was significantly lower (P<0.05) than the spats settled at depths 2 (11.07[+ or -]4.4 mm) and 3 (11.23[+ or -]4.1mm). When the effect of period and location on oysters size was evaluated, it was noted that during the entire experiment, the spats fixed at location I had a significantly higher shell height (P<0.05). At location I, the spats recruited were significantly higher at the 3rd and 4th samplings (17.9[+ or -]1.6mm and 18.4[+ or -]3.3mm, respectively) and, at location II, at the 3rd samplings (11.3[+ or -]1.8 mm) (P<0.05), both of which were in the rainy period (Figure 6D).


In this study, the average density of oyster spats varied from 0.002 to 0.067 spats [cm.sup.-2] at location I (raft), and from 0.049 to 0.612 spats [cm.sup.-2] at location II (mangrove). Similar results to that from point II were obtained by BUITRAGO & ALVARADO (2005), who studying larval settlement for C. rhizophorae in Venezuela, recorded amounts oscillating from 0.004 to 0.149 spats [cm.sup.-2] and by GARDUNHO et al.(2012), in Para State, who observed that the average density of spats of a non-identified oyster (Crassostrea sp.) varied from (0.16 a 0.75) and (0.074 to 1.64) spats [cm.sup.-2] in collectors made of half and whole PET bottles respectively.

The principal component analyses revealed that at point I the density of oyster recruited was highly correlated to environmental variables associated to the rainy period (pH, precipitation, TPM, POM and PIM) (Figure 3). These correlations indicated that at this location, there was a higher settlement of oyster in the rainy period than in the dry period; although, with values that do not differ significantly (Figure 5C). Collectors at this location remained immersed during the entire sampling period, which may have favored the higher recruitment of other organisms, with an abundance of cirripedia (barnacles), mainly in the dry period. Interspecific competition, especially from barnacles, probably had a negative effect on the settlement of oyster at point I, particularly in the dry period when, normally, according to PAIXAO et al. (2013), there are peaks of egg laying of the native oyster Crassostrea gasar.

At point II, collectors were immersed in the high tide and emerged at low tide. This exposure to the air, naturally caused by the tidal cycle, reduced the encrustation of competitors, favoring a higher oyster settlement. It was also observed through the principal component analyses (PCA) that the values of density recruited at this location were more related to the dry period, indicating a direct correlation, mainly with salinity, apparently as a regulatory factor for the higher settlement of oysters in the collectors of this location (Figure 4). PAIXAO et al. (2013) suggested that the increased salinity during the dry period was a fundamental factor in the release of the gametes of C. gasar and, consequently, of greater settlement, corroborating the results of this study.

The empty spaces on the surface of the collectors are potential locations to oyster larval settlement, nevertheless, the recruitment of other organisms can create spatial competition. Studies conducted by NERY (2008) reveal that cirripedia (barnacles) are strong competitors of the oysters, mainly in the initial colonization phase. There is evidence that barnacles can also remove the oyster spats from the substrate (OSMAN et al., 1989). BUITRAGO & ALVARADO (2005) limited the encrusting organisms by exposing the collectors out of the water for at least 3 hours each week and suggested that studies should be done to determine the effectiveness of different periods of emersion of the collectors.

Results indicated an oyster recruitment throughout the year, suggesting that these individuals reproduce during all months, although, the higher densities obtained were registered in the dry period (Figure 5C). Studies with C. rhizophorae and C. brasiliana in various coastal regions of the Brazilian northeast and southeast indicated continuous reproduction throughout the year, with peak egg lying in warmer periods (NASCIMENTO & LUNETA, 1978; SILVA & ABSHER, 1996).

According to PAIXAO et al. (2013), increase in the frequency of mature oysters during the rainy and rainy-dry transition periods (which have low salinity) may be related to the higher concentrations of organic matter reported in the water of the Amazon region during this period (DITTMAR & LARA, 2001). PAIXAO et al. (2013) also suggested that the suspended organic matter is necessary for gonadal maturation of the oyster C. gasar, given that gamete production requires considerable energy input (LUNETTA & GROTTA, 1982). These results corroborated the data obtained at point II, given that concentrations of particulate organic matter and of Chl-a were significantly higher in the months of greater rainfall and of lower oyster settlement, suggesting that the gonadal maturation of adult oysters occurred mainly in this period. With the decreased rains, there was a substantial increase of spats attached to collectors at point II and at the roots of the surrounding mangrove.

Studies have reported that oysters have different settlement behavior on different surfaces (LEE et al., 2012; NALESSO et al., 2008), corroborating results obtained from point II, where it was reported that the type of artificial substrate significantly influenced oyster recruitment.

In this study, it was reported that, despite the superiority of the PVC collector for recruitment, the extraction of the spats from the collector sheets, after 45 days of immersion, was impeded by the low flexibility of the PVC sheets, causing breakage of the lower valve. However, in the PET bottle collectors, the removal of the spats was facilitated by the flexibility of the material, agreeing with BUITRAGO & ALVARADO (2005). According to HOLLIDAY et al. (1993) the artificial collectors should not only facilitate the settlement and retention of the spat, but also allowed the collection of spats without damaging them. The same authors emphasized that it is also important to be able to collect the spats without damaging the collectors.

Results obtained here, suggested that the larva at the end of the larval cycle select substrates in shadows for settlement, which would help to explain the greater density of spats at location II (shaded by the presence of surrounding mangrove trees). For the same reason, the higher densities were obtained at the PVC sheet collectors, followed by the green PET bottles and finally the transparent PET bottles. According to MONTOYA & MADRIZ (1986), the color and design of the oyster spat collectors influence larval settlement and the internal area of the collector is the most suitable location for settlement. Oyster larva has a negative phototropic behavior and during the pediveliger phase they are sensitive to light, preferring protected substrates in shadows for settlement (CASTILHO-WESTPHAL et al., 2015).

In this study, no significant difference was observed in the density of spats fixed at the three depth intervals (D1: 0-40cm; D2: 41-80cm and D3: 81-120cm), suggesting that, for the region studied, 120cm long collectors can be used. According to PILLAY (1990), the spats can be fixed over a large depth range. ANGELL (1986) revealed that the recruitment of C. rhizophorae decreased significantly after 100cm of depth at Laguna de Restinga in Venezuela. Meanwhile, the study conducted by BUITRAGO & ALVARADO (2005) reported that the spat density of C. rhizophorae settled on the PET bottle collectors at Isla Margarita, Venezuela, was high to a depth of 190cm.

In this study, it was reported that the types of collectors tested did not influence the growth of oyster recruited at point II, contrasting with the results obtained for point I, where significantly more oyster growth was found in the green PET collector. HOLLIDAY et al. (1993) evaluated the effectiveness of 10 artificial collectors, and found that higher spat growth was reported in collectors that had a lower density of oysters settled, and thus suggest that the competition for food probably increased with the density.

This study reported the highest spat growth at point I, where there was lower spat density; however, with greater inter-specific competition, while at point II, lower growth and higher density of spats was found (greater intraspecific competition) (Figure 6B and 6D). Thus, it was found that the growth of spats can also be associated to feeding. In this case, there was no significant difference between the concentrations of Chl-a and particulate organic matter between the points studied; although, the higher growth of the spats at point I can be explained by the fact that the collectors were continuously immersed, allowing the spats to continuously filter food, while at point II the spats fed with lower frequency, as a consequence of the oscillation of the tides. This condition can explain the significant growth of the spats at depth 2 and 3, of between 41 and 120cm, mainly due to the results obtained from location II, given that they remained less time out of the water.

In relation to the seasonal period, results indicated that the higher average values for shell height were recorded in the rainy period, coinciding with the greater availability of food in the water (Chl-a and POM). Nevertheless, the growth of the spats in the rainy period may not have been higher due to the high concentration of particulate organic matter in the water in this period, mainly at location II, where significantly higher fractions are registered. The higher occurrence of the particulate matter in suspension in this location was also revealed by means of lower transparency of water. According to FERREIRA & MAGALHAES (2004), bivalves are filtering organisms and ingest a high quantity of organic and inorganic detritus together with their food (which is mainly microalgae), considering that they do not have the ability to select the food. As a consequence of this behavior, the oyster recruited in this study tend to spend a lot of energy on food assimilation, given that most of the particulate matter belongs to the inorganic fraction, thus affecting spat growth.

Until this study, there was no information in the literature about the efficiency of artificial collectors for obtaining oyster spats on the Amazon Macrotidal Mangrove Coast of Maranhao State. Results presented here, especially from point II showed that the spats extracted from the collectors can help to supply part of the demand for spats in the region; although, the difficulty resides in the separation of species with potential for cultivation still as spats.

In the present research, the Multiplex PCR was able to identify the species Crassostrea gasar and Crassostrea rhizophorae in the same study area. The data reported are in agreement with other researches that show that in the Brazilian estuaries there are two or more species of oysters of the genus Crassostrea (LAPEGUE et al., 2002; PIE et al., 2006; GARDUNHO et al., 2012; LOPES et al., 2018). The knowledge of the native oyster species to be recruited is fundamental for an adequate management of this resource for both fishing and aquaculture (MELO et al., 2013).

It is thus suggested that future studies of recruitment in Maranhao identify the populations by means of genetic analysis, to focus on the collection of oysters of the suitable species and also improve the culture systems. According to GALVAO et al. (2009), studies of genetic populations and of genetic improvement should help reduce current impediments to native oyster cultivation on the Brazilian coast.

According to the results obtained in the present study it was reported that one PVC collector (area=14,422.8[cm.sup.2]) recruited approximately 2,850 spats, with a medium heigh of 6.61mm at each 45 days. Based on this data, an oyster productor could have a final crop of approximately 1,700 oysters (142 dozens), if the survival was 60%.


The collectors used recruited two species of native oysters, Crassostrea gasar and Crassostrea rhizophorae. The collector made of PVC sheets was the most efficient for obtaining spats; although, the low flexibility of this substrate made it difficult to extract the individuals. The point II (mangrove) and the type of collector of PVC, favored shading and were more effective to oyster recruitment, mainly on dry season. The dry period was the most propitious for oyster recruitment, while the rainy period, when there is lower salinity and greater food availability (POM and Chl-a), was more favorable for the growth of these individuals.

In relation to depth, it is possible to install collectors at any depth within the interval studied (0-120cm). The daily exposure of the collectors to the air, naturally offered by the tidal cycle, reduced the ratio of undesirable organisms and maximized the oyster recruitment. Otherwise, the collectors maintained continuously immersed had greater fixation of undesirable organisms, which may have negatively affected oysters recruitment. 10.1590/0103-8478cr20180482

Received 06.16.18

Approved 01.21.19

Returned by the author 02.25.19



We thank the members of the NUMAR Laboratory --IFMA and the FISIOMAR Laboratory--UEMA, for the support provided during the realization of this study; the graduate program in Recursos Pesqueiros e Aquicultura at the Universidade Federal Rural de Pernambuco (UFRPE), to the Instituto Federal de Educacao, Ciencia e Tecnologia do Maranhao, Campus Sao Luis Maracana and the FAPEMA for the financial support (Process 01857/2012 and 00196/2012).


The study did not require the approval of an institutional ethics committee, since the researh was developed with oysters (bivalve mollusks), not falling under Art. 2 of Law 11.974 of October 8, 2008: "The provisions of this Law apply the animals of the species classified as phylum Chordata, subphylum Vertebrata, observing the environmental laws".


The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.


The authors contributed equally to the manuscript "Recruitment of oyster in artificial collectors on the Amazon macrotidal mangrove coast". All authors critically revised the manuscript and approved of the final version.


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Izabel Cristina da Silva Almeida Funo (1)* (iD) Icaro Gomes Antonio (2) (iD) Yllana Ferreira Marinho (3) (iD) Josinete Sampaio Monteles (1) (iD) Rodolf Gabriel Prazeres Silva Lopes (2) (iD) Alfredo Olivera Galvez (4) (iD)

(1) Instituto Federal de Educacao, Ciencia e Tecnologia (IFMA), 65095-460, Campus Sao Luis Maracana, Sao Luis, MA, Brasil. E-mail: Corresponding author.

(2) Centro de Ciencias Agrarias, Universidade Estadual do Maranhao (UEMA), Sao Luis, MA, Brasil

(3) Centro de Ciencias Humanas, Naturais, Saude e Tecnologia, Universidade Federal do Maranhao (UFMA), Pinheiro, MA, Brasil.

(4) Departamento de Pesca e Aquicultura, Universidade Federal Rural de Pernambuco (UFRPE), Recife, PE, Brasil.

Caption: Figure 1--Schematic diagram displaying the three types of collectors (A-transparent PET, B-green PET, C-PVC sheet) and the depth intervals studied (D1 0-40cm, D2 41-80cm, D3 81-120cm).

Caption: Figure 2--Agarose gel amplification by PCR Multiplex. Wells 1, 2, 3, 4, 5, 8 and 9 correspond to the species Crassostrea gasar, while wells 6, 7 and 10 correspond to the species Crassostrea rhizophorae.

Caption: Figure 3--Principal component analyses indicating the relationship between the environmental and biological variables for samples taken at point I.

Caption: Figure 4--Principal component analyses indicating the relationship between the environmental and biological variables for the samples taken at point II.

Caption: Figure 5--Average density of oyster settlement (spat [cm.sup.-2]) as a function of the type of collector (PET -t: transparent PET; PET-v, green PET, PVC: PVC sheet) a), type of collector x location b) and period x locationc) in the municipality of Raposa, Maranhao. Averages with different letter have significant differences (MANOVA, Tukey method P<0.05).

Caption: Figure 6--Average values for spat height (mm) in relation to type of collector (PET-t: transparent PET; PET-v: green PET; PVC: PVC board) a), type of collector x location b), depth c) and period x location d), in the municipality of Raposa, Maranhao. Measures with different letters have significant differences (MANOVA, Tukey method P<0.05).
Table 1--Average and standard deviation of environmental variables
referring to the rainy and dry periods for points I and II in the
municipality of Raposa, Maranhao, Brazil. * Value indicated with an
asterisk indicates that it was significantly higher for the
respective location and seasonal period indicated (Student t test,
P<0.05).Where: TPM=total particulate matter; POM=particulate organic
matter and PIM=particulate inorganic matter.

Variables                                Point I (Raft)

                                 Rainy                 Dry
Temperature ([degrees]C)    29.0 [+ or -]0.3    29.6 [+ or -]0.3 *
Salinity                    33.1 [+ or -]1.8    40.5 [+ or -]1.2 *
pH                          7.6 [+ or -]0.1      7.3 [+ or -]0.5
Transparency (cm)          53.3 [+ or -]10.5     64.1 [+ or -]6.3
Dissolved oxygen
  (mg [L.sup.-1])           4.5 [+ or -]0.6      5.1 [+ or -]0.7
Total Chlorophyll a
  (mg [m.sup.-3])          11.1 [+ or -]2.2 *    8.0 [+ or -]1.2
TPM (mg [L.sup.-1])        56.5 [+ or -]6.6 *    37.9 [+ or -]9.4
POM (mg [L.sup.-1])        10.2 [+ or -]2.8 *    7.1 [+ or -]1.7
PIM (mg [L.sup.-1])        46.3 [+ or -]4.2 *    30.9 [+ or -]7.8

Variables                                Point II (Mangrove)

                                   Rainy                  Dry
Temperature ([degrees]C)     28.8 [+ or -]0.5      29.4 [+ or -]0.2 *
Salinity                     31.7 [+ or -]1.6      38.8 [+ or -]1.7 *
pH                            7.5 [+ or -]0.2        74 [+ or -]0.5
Transparency (cm)            23.2 [+ or -]4.3      32.5 [+ or -]4.2 *
Dissolved oxygen
  (mg [L.sup.-1])             3.3 [+ or -]0.9       4.3 [+ or -]0.6
Total Chlorophyll a
  (mg [m.sup.-3])           12.4 [+ or -]2.1 *      9.1 [+ or -]1.1
TPM (mg [L.sup.-1])        71. 4 [+ or -] 12.5 *    43.7 [+ or -]9.2
POM (mg [L.sup.-1])         12.3 [+ or -]2.0 *      6.9 [+ or -]1.8
PIM (mg [L.sup.-1])         59.1 [+ or -]10.5 *     36.7 [+ or -]7.8

Table 2--Multifactorial Variance Analysis of density of oyster
settlement (spat [cm.sup.-2]) as a function of collector type,
depth, location, period and their respective interactions. FV:
Source of Variation; SQ: Sum of squares; GL: Degree of liberty; QM:
Squared Avg.; F: F calculated; P: Value of p. * Significant
difference (P<0.05).

FV                                     SQ      GL       QM

Type                                0.942959    2    0.471479
Depth                               0.000769    2    0.000384
Location                            4.794033    1    4.794033
Period                              3.893831    7    0.556262
Type x Depth                        0.006014    4    0.001504
Type x Location                     0.986439    2    0.493220
Depth x Location                    0.001376    2    0.000688
Type x Period                       1.107847   14    0.079132
Depth x Period                      0.120531   14    0.008609
Location x Period                   4.509941    7    0.644277
Type x Depth x Location             0.007033    4    0.001758
Type x Depth x Period               0.215087   28    0.007682
Type x Location x Period            1.253601   14    0.089543
Depth x Location x Period           0.119616   14    0.008544
Type x Depth x Location x Period    0.202055   28    0.007216
Error                               1.937294   270   0.007175

FV                                    F          P

Type                                65.71    0.000000 *
Depth                                0.05     0.947841
Location                            668.14   0.000000 *
Period                              77.53    0.000000 *
Type x Depth                         0.21     0.933003
Type x Location                     68.74    0.000000 *
Depth x Location                     0.10     0.908569
Type x Period                       11.03    0.000000 *
Depth x Period                       1.20     0.275026
Location x Period                   89.79    0.000000 *
Type x Depth x Location              0.25     0.912508
Type x Depth x Period                1.07     0.374256
Type x Location x Period            12.48    0.000000 *
Depth x Location x Period            1.19     0.281952
Type x Depth x Location x Period     1.01     0.461576

Table 3--Multifactorial analysis of variance of spat shell height
(mm) in relation to type of collector, depth, location, period and
its respective interaction. FV: Source of Variation; SQ: Sum of
squares; GL: Degree of liberty; QM: Squared Average; F: F
calculated; P: Value of p. *Significant difference (P<0.05).

FV                                    SQ      GL      QM

Type                                 53.41     2     26.70
Depth                                80.26     2     40.13
Location                            5696.69    1    5696.69
Period                              1617.57    7    231.08
Type x Depth                         4.62      4     1.15
Type x Location                      85.73     2     42.86
Depth x Location                     5.76      2     2.88
Type x Period                       119.59    14     8.54
Depth x Period                       36.7     14     2.62
Location x Period                   214.05     7     30.58
Type x Depth x Location              4.75      4     1.19
Type x Depth x Period                41.3     28     1.47
Type x Location x Period            174.52    14     12.47
Depth x Location x Period            38.18    14     2.73
Type x Depth x Location x Period     43.42    28     1.55
Error                               1004.79   270    3.72

FV                                     F          P

Type                                 7.18     0.000920 *
Depth                                10.78    0.000031 *
Location                            1530.78   0.000000 *
Period                               62.09    0.000000 *
Type x Depth                         0.31      0.870953
Type x Location                      11.52    0.000016 *
Depth x Location                     0.77      0.462291
Type x Period                        2.30     0.005493 *
Depth x Period                       0.70      0.769545
Location x Period                    8.22     0.000000 *
Type x Depth x Location              0.32      0.865242
Type x Depth x Period                0.40      0.997694
Type x Location x Period             3.35     0.000055 *
Depth x Location x Period            0.73      0.740490
Type x Depth x Location x Period     0.42      0.996458
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Author:Funo, Izabel Cristina da Silva Almeida; Antonio, Icaro Gomes; Marinho, Yllana Ferreira; Monteles, Jo
Publication:Ciencia Rural
Date:Mar 1, 2019
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