M Camara

M Rieu

P Breuil

C Pijolat

D Briand

N F De Rooij

Gas preconcentrator made by rolling up a printed hotplate on foil

Keywords: Micro-hotplates, Inkjet printing, Polymeric foil, Gas preconcentration, Pollution monitoring

This paper presents the design and implementation of a foil gas preconcentrator (FGP) on polyimide (PI) substrate. One novelty of the paper is that our device is made on flexible foil by using printing whereas all preconcentrators seen in literature are mainly based on rigid substrates and are micro-machined using cleanroom processes. Printing allows the additive and localized deposition of materials at low temperature on large area and can be applied to both the patterning of the heating element and the integration of the gas absorbent material. The benefits are the easy and flexible processing of cost-effective and lightweight preconcentrators for a variety of target gases. The tubular shape of the FGP is obtained by rolling up and sealing the inkjet printed gold hotplate on foil, which is then filled with the gas absorbent material (Carbopack B and Tenax). The diameter of the inlet/outlet of FGP is adjustable leading to high flow rates, up to 1.5 L/min, much larger than their silicon counterpart. The concept was validated using two target gases (Benzene and Acetophenone) at concentrations down to 250 ppb.

Introduction

Since a decade, different designs of silicon-based preconcentrators have been reported in literature based typically on two preponderant approaches: a close device (micro-channel device sealed with cover) and open shape device (micro-hotplate-type device) [START_REF] Collin | Microfabricated gas chromatograph for rapid trace-level determinations of gas-phase explosive marker compounds[END_REF][START_REF] Camara | Pijolat A micro gas preconcentrator with improved performance for pollution monitoring and explosives detection[END_REF]. However all these devices were microfabricated in a cleanroom environment resulting in a high component cost and time consuming process. Meanwhile our group also reported on micro-hotplates on flexible polyimide (PI) foil applied to gas sensors operating up to 300 °C [START_REF] Courbat | Rooij Drop-coated metal-oxide gas sensor on polyimide foil with reduced power consumption for wireless applications[END_REF], which were also produced in cleanroom facility. We have also recently published our work on low cost inkjet printed -micro-hotplates on PEN (Polyethylene naphthalate) foil for gas sensors operating at low temperature (<100 °C) [START_REF] Danesh | Development of a new generation of ammonia sensors on printed polymeric hotplates[END_REF]. Here we report on high operating temperature printed micro-hotplates for gas preconcentration based on the patterning of gold nanoparticles-based heater on PI foil. We propose a cost-effective process to develop a tubular gas preconcentrator by rolling up a printed micro-hotplate on foil before filling it with an adsorbent. Our foil gas preconcentrator allows operating at higher flow rates than the silicon devices previously reported.

Design and fabrication

The micro-hotplate is made by inkjet printing (Dimatix DMP 2800 printer) a gold ink (from Harima) on 50 µm-thick PI foil (Kapton® EN from Dupont). The heater meander is 500 µm-wide and 100 mm long with a gap of 300 µm between its arms. The size of the hotplate i.e. the active area of the FGP was fixed to 10x8 mm 2 . After a sintering at 250 °C during two hours, the electrical resistance of the heater was 50 Ω. The foil hotplate is then rolled and sealed with a high temperature adhesive for obtaining the tubular shape of the preconcentrator (Figure 1). Before sealing the fluidic capillaries, the chosen adsorbent is inserted within the tube in granular form and blocked at the edges with fiberglass. Well established absorbents, Carbopack B and Tenax TA (from Sigma Aldrich), were used in this work for demonstrating the concept. Our device is designed with a large heater size for two reasons: ¤ On one hand, to obtain a long enough tubular preconcentrator to maximize the adsorption time by increasing the residence time of the target gas when going across the absorbent material. ¤ On another hand, to be sure that the heater meander covers all the diameter of the FGP in order to avoid any cold area during the heating up of the device for gas desorption. The latter could reduce considerably the preconcentration factor by acting as a second "cold" adsorption site, which would trap again the gas during the desorption phase.

Characterization and optimization

The design of the printed micro-hotplate was supported by FEM simulations using COMSOL and validated by thermal mapping experiments using micro-thermocouples. The gap between lines was narrowed from the edge to the center for better heat distribution across the active area of FGP and low power consumption.

Our FGP allows reaching 350 °C with a power of 1700 mW, with a temperature gradient from the center to edge of less than 50 °C (Figure 2). After the rolling up and sealing of the fluidic interconnects, the pressure drop was measured at flow rates from 1L/h to 100 L/h. This characterization showed that the FGP is usable at high flow, up to 100 L/h with low pressure drop, down to 100 mbars (Figure 3). In comparison, our previously reported silicon gas preconcentrators (SGP) [START_REF] Camara | Pijolat A micro gas preconcentrator with improved performance for pollution monitoring and explosives detection[END_REF] could not exceed 4 L/h without damaging the device. The operating flow rate of the FGP is mainly limited by the currently used fluidic interconnections which was the cause of the experimentally observed pressure drop. However, the inlet and outlet of FGP could be adjusted during rolling up of micro-hotplate for allowing larger fludic interconnect in regards to the requirements of the application.

Results on gas preconcentration

This study has been done in the frame work of the EU project SNIFFER which aimed at detecting explosives, illicit drugs, and volatile organic compounds for a variety of border security scenarios like smuggling prohibited goods. In this paper, we demonstrate the proper operation of the rolled-up preconcentrators on foil for aromatic compounds (benzene) and cigarettes additives (acetophenone). Carbopack B was chosen as absorbent because of its high affinity towards aromatic compounds whereas Tenax adsorbent was selected for its low desorption temperature towards sticky compounds like acetophenone.

As basic principle of operation for gas preconcentrators, a high adsorption flow rate, a low desorption flow rate, a relatively long adsorption time, and a very short desorption time are desired for good preconcentration performance. In this purpose, experiments were conducted with an adsorption flow rate and duration of 80L/h and 10 min, respectively, while the desorption flow rate and duration were set to 5 L/h and 10 min, respectively. As the desorption time is fixed by the desorption rate, the heating rate was fixed at the maximum value achievable in our experimental setup, up to 40 °C/s. Thanks to the use of high adsorption flow rates, experiments showed a preconcentration factor-PF (the ratio between the concentration after and before preconcentration), higher than the ones we observed for our silicon devices reported in [START_REF] Camara | Pijolat A micro gas preconcentrator with improved performance for pollution monitoring and explosives detection[END_REF] (Figure 4 left). Indeed, the PF obtained with our FGP is about 68 when it was exposed to 250 ppb of benzene. However, the performances for the couple Tenax-Acetophenone are lower than for Carbopack-Benzene because of low adsorption capacity of Tenax compared to Carbopack and also the spreading of the desorption peak due to the high stickiness of acetophenone molecules which slows down the desorption rate (Figure 4

Conclusions

We have successfully demonstrated the fabrication and testing of a versatile FGP based on gold heater printed on a polyimide foil. Successful operation of the devices was demonstrated for the preconcentration of benzene and acetophenone with a PF higher than silicon preconcentrators tested under the same conditions thanks to high flow rates allowed by our rolled up preconcentrator.

We are now working on the maximization of this PF by increasing the inlet/outlet diameter of the FGP during the rolling up for a higher flow rate.

Figure 1 :

 1 Figure 1: Implementation process of our tubular FGP: images of (a) A printed hotplate with electrical wires (b) The rolled up micro-hotplate compared to 5 euro cents and (c) The final FGP with fluidic interconnects.

Figure 2 :

 2 Figure 2: Thermographic simulation obtained on COMSOL 4.2 of the micro-hotplate operating at a power of 1700 mW.

Figure 3 :

 3 Figure 3: Flow (mL/min) versus Pressure (bar) obtained with a Foil GP filled with 1mg of Carbopack B and a silicon GP filled with 1mg of carbon nanopowders.

  right).

Figure 4 :

 4 Figure4: Sensor response for a FGP filled with 1mg of Carbopack B when exposed to 250 ppb@1 min of benzene at 667 mL/min and desorbed at 200 °C with a flow of 66mL/min (left) and for a FGP filled with 1mg of Tenax TA when exposed to 100 ppb@10 min at 333 mL/min of acetophenone and desorbed at 130 °C with a flow of 33 mL/min (right).

Acknowledgements

The authors are grateful to the FP7 EU, SNIFFER for the funding of this work (Grant no: 285203).


Christine Dupuy
email: cdupuy@univ-lr.fr

Hien Thanh Nguyen

David Mizrahi

Jérôme Jourde

Martine Bréret

Hélène Agogué

Laureen Beaugeard

Pierrick Bocher

Dupuy Christine

Thanh Nguyen

Hien

Mizrahi David

Jourde Jérôme

Bréret Martine

Agogué Hélène

Beaugeard Laureen

Bocher Pierrick

Structure and functional characteristics of the meiofauna community in highly unstable intertidal mudbanks in Suriname and French Guiana (North Atlantic coast of South America)

Keywords: French Guiana, Suriname, unstable intertidal mudbanks, chlorophyll a, organic matter content, prokaryotes, meiofauna

établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Abstract

The north Atlantic coast of South America is influencedby the Amazon River. This coast is considered the muddiest in the world due to the enormous suspended sediment input from the Amazon River. The mobility of the sediment imposes a geomorphological dynamic with a rapid change of shoreline and fast alternation of facies types of the sediment. This study first describes the spatial and functional structure of meiofauna communities of highly unstable intertidal flats along coasts of French Guiana and Suriname in relation to environmental variables. Six sampling sites, composed mainly of muddy sediment, were located 700 km (Kourou) to 1200 km (Nickerie) from the mouth of the Amazon River. The granulometry, chlorophyll a biomass, prokaryote abundance, percentage of organic matter,meiofauna abundance and feeding guilds of nematodes in sediment stations were independent of the distance of the Amazon River mouth and likely were more influenced by the local dynamism of migration of mudbanks.Meiofauna was not more abundant when the sediment was dominatedby the finest sediment particles and also when chlorophyll a and prokaryotes, potential prey of meiofauna, were greater. However, as a percentage, small nematodes (biomass of 0.07 ± 0.001 µg ind -1 ), which are mainly epigrowth-feeders, were more abundant in very fluid mud. Local granulometry and organic matter content appearedto bedriving factors of the size structure and functional characteristics of nematodes. Despite the high instability of mudflats,chlorophyll a biomass and meiofauna abundance always tended to be higher toward other world areas. No foraminifera among the six stations of the study were found. Very fluid mud with physical instability of sediment caused a large perturbation to the settlement of meiofauna; the least amounts of chlorophyll a biomass and prokaryotic and meiofauna abundances were found there. Thus, the probable mobility of sediment may select for smaller meiobenthic organisms, mainly epigrowth-feeders nematodes, and disturb the larger organisms in the sediment, and, therefore,they would not permit the settlement of the foraminifera. In addition, no non-permanent meiofauna largely was found in the sediment.

Introduction

The coast between the Amazon and Orinoco Rivers (1500 km) in South Americais considered the muddiest in the world due tothe enormous suspended sedimentinput from the AmazonRiver(754 Mty -1 ±9%) [START_REF] Martinez | Increase in suspended sediment discharge of the Amazon River assessed by monitoring network and satellite data[END_REF]. Thus, a large amount of fluid mud is transported from the Amazon River mouth in a north-western directionalong the coasts of the Guianas, includingFrench Guiana and Suriname, by a complex interaction of waves, tidal forces, and coastal currents. These complex interactions result in the formation of a series of large mudbanks that are distributed in at least 15 units 1060 km long and 2030 km wide and migrate 1 kmy -1 [START_REF] Allison | Origin of Amazon mudbanks along the northeastern coast of South America[END_REF]. They impose a geomorphological dynamic leading to rapid changes of shoreline and fast alternation of facies type [START_REF] Anthony | The Amazon-influenced muddy coast of South America: A review of mud-bankshoreline interactions[END_REF]. The intertidal area, bordered by mangroves,representsapproximately 5% of the entire mudbank.Although these emerged mudflats are unique in the world considering their high dynamic processes and particular instability, thediversity and structure of communities as well as food web functionality associated with these mudbanks are mostly unknown.

Intertidal soft sediment habitats rank among the most productive ecosystems on Earth, largely owing to the primary production of highly diverse assemblages of benthic diatoms [START_REF] Underwood | Primary production by phytoplankton and microphytobenthos in estuaries[END_REF]. Indeed, at every low tide, the intertidal flats are rapidly covered by mats of microalgae (microphytobenthos[MPB]) [START_REF] Underwood | Primary production by phytoplankton and microphytobenthos in estuaries[END_REF]. Diatoms have the ability to migrate through fine sediments according to the tidal and daily irradiation cycles in order tofind optimal light conditions for their growth. The MPB constitutes a complex biofilm in association with prokaryotic communities, mainly composed of bacteria in the sediment surface [START_REF] Van Duyl | Tidal coupling between carbohydrate concentrations and bacterial activities in diatom-inhabited intertidal mudflats[END_REF]. These prokaryotes play a fundamental role through the degradation and remineralisation of nutrients. The components of biofilm(MPB and prokaryotes)are considered key ecosystem engineers in food webs. In addition, diatoms are known to be important trophic sources for many benthic organisms (meiofauna and macrofauna), and the prokaryotes can represent a complementary food source for meio-and macrofauna [START_REF] Moens | Observations on the feeding ecology of estuarine nematodes[END_REF]Pascal et al., 2008a, b;[START_REF] Pascal | Seasonal variation in consumption of benthic bacteria by meio-and macrofauna in an intertidal mudflat[END_REF].

Meiobenthos occurs in all types of sediments and is thus able to reside in a wide variety of habitats (subtidal and intertidal areas). Nevertheless, the texture of the sedimentis an important variable for structure and composition of meiobenthic assemblages [START_REF] Schwinghamer | Characteristic size distributions of integral benthic communities[END_REF][START_REF] Semprucci | The distribution of meiofauna on back-reef sandy platforms in the Maldives (Indian Ocean)[END_REF]2011). Abundance of benthic organisms is generally higher toward fine grains due to a concomitant increase of food availability [START_REF] Balsamo | Meiofauna of the Adriatic Sea: current state of knowledge and future perspectives[END_REF][START_REF] Heip | Community structure and functional roles of meiofauna in the North Sea[END_REF]. Meiofauna is generally considered to constitute recurrent taxa, such as nematodes, copepods, and foraminifera, and non-permanent taxa,such assmall gastropods, small bivalves, and small annelids. In mudflats, nematodes are consistently considered the most abundant meiobenthic taxa [START_REF] Boucher | Ecological biodiversity of Marine nematodes in samples from Temperate, Tropical and Deep-sea regions[END_REF]. Some authors have suggested that the ecological significance of nematodes is crucial in terms of foodweb relationships (reviewed in [START_REF] Balsamo | Meiofauna as a tool for marine ecosystem biomonitoring[END_REF][START_REF] Heip | The ecology of marine nematodes[END_REF][START_REF] Platt | The significance of free living nematodes to the littoral ecosystem[END_REF], production of detritical organic matter, and recycling of nutrients, thereby enriching the coastal waters to support marine benthic production. Nematodes are functionally diverse, as they can beherbivores, bacterivores,depositfeeders, epigrowth feeders, orpredators (Pascal et al., 2008b;[START_REF] Rzeznik-Orignac | Spatio-temporal structure of the nematode assemblages of the Brouage mudflat (Marennes Oléron, France)[END_REF].

The spatial structure of meiofauna assemblageshas been wellstudied in temperate mudflats (Pascal et al., 2008b;[START_REF] Rzeznik-Orignac | Spatio-temporal structure of the nematode assemblages of the Brouage mudflat (Marennes Oléron, France)[END_REF] and tropical mangrove areas [START_REF] Alongi | Intertidal zonation and seasonality of meiobenthos in tropical mangrove estuaries[END_REF][START_REF] Chinnadurai | Meiofauna of mangroves of the southeast coast of India with special reference to the free-living marine nematode assemblage[END_REF][START_REF] Debenay | Ecological factors acting on the microfauna in mangrove swamps. The case of foraminiferal assemblages in French Guiana[END_REF]Xuan et al., 2007).

Nevertheless, studies of bare tropical mudflat meiofauna are scarce and completely absent for the Guiana coast areas submitted to high dynamic processes, leading to a strong instability rarely met among coastal ecosystems.

The present study first describes the spatial and trophic functional structure of meiofauna communities ofintertidal flats along the French Guiana and Suriname coasts in relation toenvironmental variables such as granulometry, chlorophyll a biomass, prokaryote abundance, and percentage of organic matterin sediment.The sampling stations areinfluencedby the Amazon flume, considered the largest and muddiest river in the world, and the choice of the stations presented a gradient of influence of the river from east to west (from French Guiana to Suriname). Second, three types ofmud facies(fluid mud, moderately compacted mud, and compacted mud) were sampled on theintertidal mudflatsof Awala (French Guiana),and their meiofauna communities were compared.We hypothesised that in highly unstable intertidal mudbanks:

1) Compositions and abundances of meiofauna were different according to the grain size and particularly the fraction of fine sediment particles 2) Meiofauna was more abundantwhen MPB biofilm containing diatoms and prokaryotes, which are potential prey for meiofauna, was more abundant.

Materials and methods

Study sites

The intertidal mudflatsstudied are located along theFrench Guianese coast in front of the city of Kourou and village of Awala-Yalimapo and onthe Surinamese coastnear the village of Warappa and city of Nickerie (Fig. 1). All stations were sampled in April 2012 (wet season) at low tide in the upper area of the intertidal mudflats. The tides of the considered coast sections are semidiurnal with a tidal range of 0.8 m (neap tides) to 2.9 m (spring tides).

The median sediment grain size was characterised using a Malvern Mastersizer 2000 (Malvern Instruments, Ltd., UK) (size range 0.02-2000 mm). This analysis allowed definition of different sediment textural groups by the relative abundance (percent volume) of mud (diameter < 63 µm) and sand (diameter between 632000 µm) according to the Udden-Wentworth scale. Data processing was performed using the GRADISTAT program (Blot and Pye, 2001).

The sampled mudflat at Kourou (05°10'40.45"N; 52°38'53.74"W) is the closest study site to the Amazon River mouth at a distance of 700 km (Fig. 1). At Kourou, one station was sampled (Table 1).TheAwala mudflat station is located 850 kmfrom the AmazonRiver mouth (Fig. 1). On this mudflat, contrary to other sites, samples were collected at three stations along a transect parallel to the coastline, presenting an alternation of facies type: Station A (St A) (05°44'44.6"N; 53°55'36.2"W), with very fluid mud (very soft mud); Station B (St B) (05°44'44.7"N; 53°55'07.2"W), with moderately compacted mud (soft mud) and Station C (St C) (05°44'44.6"N; 53°54'57.8"W), with compacted mud just before young mangroves.Warappa and Nickerie are located 1000 km and 1200 km from the Amazon River mouth, respectively (Fig. 1). One station per site was sampled at Warappa (soft mud) (05°59'32.9"N; 54°55'50.1"W) and at Nickerie (soft mud) (05°59'09.9"N; 56°53'03"W).

For each triplicate sample, the top 2-cm layers from three 15-cm diameter cores were sliced and gathered together.Each sediment samplewas homogenised directly in the field in a sterile box and was subdivided for further analysis (storage conditions differed according to parameters).

Environmental parameters

Organic matter content (OM) (weight loss after incineration) of the sediment was estimated by weight loss at 450°C for 24 h [START_REF] Wollast | Physico-chemical models of marine sediment[END_REF] from three replicated cores (deep frozen for later analysis).The OM was expressed as the percentage of total matter. Three replicated coreswere used for algal biomass determination, which was assessed using chlorophyll a(Chl a) as a proxy and measured using fluorometry (640 nm, Turner TD 700, Turner Designs, USA) according to the method of [START_REF] Lorenzen | A method for the continuous measurement of in vivo chlorophyll concentration[END_REF].Extraction of Chl awas obtained using freeze-dried sediment extracted at night in darknessin 4°C,90% acetone and centrifuged (10 min, 3500 g, 8°C).The Chl a biomasswas expressed as µgµg -1 dry weight (DW)sediment or µg Chl a m -2 . Heterotrophic prokaryotic abundance (PA) was quantified by flow cytometry according to [START_REF] Lavergne | An efficient and rapid method for the enumeration of heterotrophic prokaryotes in coastal sediments by flow cytometry[END_REF]. Sub-samples of the top 2 cm of the sediment were fixed with 0.2-µm filtered formaldehyde (vol/vol) (2% final concentration) and stored at 4°C up to 3 months before analysis. Thawed samples were homogenised, prepared, and analysed as Picophytobenthic cells also were discriminated from heterotrophic prokaryotes by their red autofluorescence (FL3) and SSC properties and were excluded from final prokaryotic counts, measured on a gate SSC-FL1 [START_REF] Marie | Enumeration of phytoplankton, bacteria, and viruses in marine samples[END_REF]. Accurate cell concentrations were performed using TruCount beads (BD-Biosciences) (excitation: red laser at 633 nm; emission: FL5 660/20 nm). Abundances were expressed as cells per cubic centimetre or millilitre of fresh sediment (cell cm -3 or cell mL -1 , respectively).

Meiofauna abundance

Meiofauna abundance and group composition were obtained from three replicated cores. The top 2 cm of sediment from each core were preserved in absolute ethanol (vol/vol).

Samples (50 mL) were sieved through 50 µm before staining with rose Bengal and observation under a binocular loupe (Zeiss). A sample splitter (Motoda box as [START_REF] Rzeznik-Orignac | Spatio-temporal structure of the nematode assemblages of the Brouage mudflat (Marennes Oléron, France)[END_REF] was used to obtain an aliquot containing at least 100 individual nematodes for the abundance estimation.

The abundance of other meiobenthic taxa (i.e., copepods and ostracodes) was too low to be evaluated in split samples and, therefore, was quantified using whole samples.Abundances were expressed as individuals percubic centimetre (ind cm -3 ) or individuals per 10 cm 2 (ind 10 cm -2 ). The sizes (length and width) of nematodes were measured for at least 100 specimens picked haphazardly through a calibrated ocular micrometer. Three different size classes were made: small nematodes (mean length: 300 ± 30 µm; mean width: 18 ± 5 µm), medium nematodes (mean length: 695 ± 130 µm; mean width: 26 ± 9 µm), and large nematodes (mean length: 1500 ± 160 µm; mean width: 75 ± 10 µm).

The biovolume was calculated using [START_REF] Warwick | Ecological and metabolic studies on freeliving nematodes from an estuarine mudflat[END_REF] formula: V= 530LW², where V= biovolume (nl), L=length (mm) and W=width (mm). Biovolume was then converted in biomass, considering specific density as 1.13 µg nl -1 [START_REF] Wieser | Benthic studies in Buzzards Bay. II. The meiofauna[END_REF]. The corresponding biomasses were: small nematodes: 0.07± 0.001 µg ind -1 , medium nematodes: 0.32 ± 0.01 µg ind -1 , and large nematodes: 5.73 ± 0.01 µg ind -1 .

From each of the three replicates, 100 nematodes were randomly withdrawn and mounted on slides in anhydrous glycerol to prevent dehydration (Seinhorst, 1959) and observed under a 100x oil immersion objective (Axioskop 2, Zeiss). All nematodes were then classified into four trophic groups according to [START_REF] Wieser | Die Beziehungen zwischen Mundho¨ hlengestalt, Erna¨ hrungsweise und Vorkommen bei freilebenden marinen Nematoden. Eine o¨ kologisch-morphologische Studie[END_REF][START_REF] Wieser | Benthic studies in Buzzards Bay. II. The meiofauna[END_REF] as follows: 1A (selective deposit-feeders), 1B (non-selective deposit-feeders), 2A (epigrowth-feeders), and 2B (omnivorous-carnivores).

Statistical analysis

In the results section, all values are presented as means ±SD. Variations in environmental variablesor meiofauna abundances according to the siteswere tested using Fisher tests or Wilks-Lambda tests after testingfor data normality. For non-normal data, Wilcoxon tests were applied. The relationships between environmental parameters and meiofauna were assessed by principal component analysis (PCA). Pearson's correlationswere used to measure and test the correlations between environmental variables and meiofauna.

These analyses were performed with the XLSTAT 2014 software.

Results

Environmental variables

At Kourou, sediment was classified as fine sandy medium silt (Table 1). The Awala mudflat stations presented an alternation of three facies types: St A with very fluid mud (very soft mud) andcomposed of fine sandy silt; St Bwith moderately compacted mud (soft mud) and composed of fine silt; St Cwith compacted mud and composed of fine silt (Table 1).

Warappa mudflat sediment was composed of fine silt, while Nickerie mudflats were made up of very coarse sandy fine silt (Table 1).In summary, the median grain size (MGS) among the six sampling stations ranged from 5.4 to11.0 µm, and the percentage of mud in these six stations (81.0% at Kourou, 88.76% at Awala St A, 89.65% at Nickerie, and more than 99% at Awala St B, St C and Warappa [Table 1]) was independent of the distance to the Amazon River from east to west (from French Guiana to Suriname).

The percentage of OM massin the sediment rangedfrom 4.4% (Kourou) to 6.2% (Warappa) (Table 1). Only one value for Kourou wassignificantly differentfrom other stations (Wilcoxon, p< 0.05).

The mean Chl a biomass of the top 2 cm of the sediment varied from 719 µg Chl a g - 1 DW sediment (corresponding to 70190 mg Chl a m -2 ) (Fig. 2). The Chl a biomasses were the lowestatKourou and Awala StA (large SD, no significant difference found between values, Fisher, p> 0.05),and the maximum Chl a biomass wasrecorded atAwala St B(significant difference between Kourou and Awala St B, Fisher, p< 0.05). Along the Awala transect, where facieswas modified between St A to St C, the Chl a biomass was greatestin the intermediate moderately compacted muddy station (St B: 18.77 ± 1.57 µg Chl a g -1 DW sediment) (significant difference between the three stations at Awala, Fisher, p< 0.05).

Heterotrophic prokaryotic (PA) cell abundance rangedfrom 1.84.410 9 cells mL -1 wet sediment in the 2-cm layer (Fig. 3). Prokaryotic cell numbers were lowestat the Kourou and Awala stationsbut higher at Nickerie (significant difference, Fisher, p< 0.05),despitea large abundance variability(4.4 10 9 ± 1.36 10 9 cells mL -1 ).Along the Awalatransect, prokaryotes were less abundant at St A. At St B and St C, no significant differenceswere observed (Fisher, p< 0.05).

Meiofauna abundance

For the entire study area, total abundances of meiobenthos ranged from about 88220 indcm -3 (corresponding to 1760 ind10 cm -2 to 4400 ind 10 cm -2 at Awala St Aand Awala St C, respectively) (Fig. 4). The mean value for the six stations was 136 ind cm -3 .

Along the Awala transect, a gradient of total abundances of meiobenthos appeared.

The lowest abundanceswere recordedinthe very fluid mud station (St A), a medium value was recorded in the moderately compacted mud station (St B), and the highest abundanceswere observed in the compacted mudstation located at the edges of mangroves (St C)(significant differences between St A, B, and C at Awala, Fisher, p< 0.05).

For all sampled stations, nematodes represented the most dominant taxon, contributing 7392% of total meiobenthos abundance at Awala St Aand Warappa, respectively (Figs. 4 and5). Copepods contributed 0.526% of the meiobenthos abundance in Warappa and Awala St A,respectively (Figs. 4 and5). The other groups (ostracodes, plathelminthes, small bivalves, and small gastropods) accountedfora very low percentage of the meiobenthos(less than 1%).

One exception included ostracodes representing 8% of the total abundance atthe Warappa station, and, in parallel, at this same station copepods wereat very lowabundance (0.5%).Surprisingly, no foraminifera were foundamong the six study sites.

Along the Awala transect, the percentage of nematodes increased, while the percentage of copepods decreasedfrom St A to St C (from26% in very fluid mud to 8.7% in compacted mud before mangroves). At all stationsexcept AwalaSt A, the size class of medium nematodes (biomass of 0.32 ± 0.01 µg ind -1 ) was the most dominant, contributingto 5177% of total nematode abundance at Awala St Band Awala St C,respectively (Fig. 6), with significant differences between Kourou and Awala St A, Nickerie and Awala St A, and Warappa and Awala St C(p<0.05).Significant differences were observed for large nematodeabundances between Nickerie and Warappa (p< 0.05). No significant difference was observed for small nematodeabundances among all stations.

Along the Awala transect, the percentage of medium nematodes increased, while the percentage of small nematodes decreased from St A to St Cfrom 44% in very fluid mud to 17% in compacted mud before mangroves (significant difference between three stations at Awala, Fisher, p< 0.05).

The proportion of nematodes gathered per trophic guilds was presentedin Figure7.

Epigrowth-feeders (2A) were dominant in the different stations increasing in proportion through the granulometric gradient, with the lower proportion at Kourou (38 % of nematode community) and the maximum recorded at Awala St C (92 %) (significant difference, Fisher, p < 0.05). The second dominant feeding type was non-selective deposit feeders (1B), inversely proportional to 2A and ranging from 5 to33 % at Awala St C toKourou (significant difference, Fisher, p < 0.05).Selective deposit-feeders (1A) and omnivorous-carnivores (2B) represented an average proportion of6 and 5 %, respectively. The medium and small nematodes belonged largely to epigrowth-feeders (2A) guildwhile large ones were from the 4guilds, but the omnivorous-carnivores(2B) were represented by the large nematodes.

Relationship between environmental parameters and meiofauna

Factor plans 1, 2, 3,and 4 of the PCA together explained97.0% of the observed variability in each sample (Fig. 8) (axis 1: 59.8%, axis 2: 18.1%, axis 3: 11.0%, and axis 4: 8.1%). The variables OM content, small and large nematode abundances, and percentage of mudand sand, and the 4 feeding guildsof nematodes were represented by factor plan 1. The variables Chl a biomass, copepod, and ostracodes abundance were represented by factor plan 2. The PAabundance was represented by factor plan 3, and medium nematode abundance was represented by factor plan 4.

Only significant correlations were presented here and in Table 2: the OM content was positively correlated with small nematode abundance, 2A feeding type and percentage of mud, and negatively correlated with 1A feeding type, 2B feeding type and percentage of sand (Table 2; Fig. 8). The % of mud was correlated with 2A feeding type but negatively correlated with 1A, 1B and 2B feeding type and % of sand. The result of % of sand was inverted as above.Small nematode abundance was positively correlated with 2A feeding type and percentage of mud but negatively correlated with 1A feeding type, 2B feeding type and % of sand. Large nematodes abundance was positively correlated with 2B and 1A feeding typeand percentage of sand, but negatively correlated with 2A feeding type and % of mud. Moreover, copepod abundance was negatively correlated with ostracodes abundance (Table 2; Fig. 8).

1A feeding type was positively correlated with 2B feeding type but negatively correlated with 2A feeding type. 1B feeding type was negatively correlated with 2A feeding typeand finally, 2A feeding type was negatively correlated with 2B feeding type.

The PCA exposed a clear separation of different clusters corresponding to the sampling sites, driven by their abiotic and biotic parameters of the four factor plans (Fig. 8, factor plan 4 not shown).Kourou siteexhibited the lowestpercentage of mud (81% mud), lowest OM content, lowest Chl a biomass and the lowest nematode abundance of small one.

The same station exhibited the highest percentage of sand (19 %), a part of large nematode abundance and 1A, 1B, 2B feeding type. In contrast,the Awala St B and St Cwere very muddy (100% mud) and showed high OM content, Chl a biomass and the highest percentage of2A feeding type and, at St B, high abundance of small nematodes and presence of copepods. The Warappa station wasmainly represented in factor plan 2 and was characterised by the highest abundance of ostracodes andaverage Chl a biomass; it was slightly represented in factor plan 1, characterised by a very muddy sediment and rich OM. Nickerie was represented in factor plans 2 and 3, characterised by high Chl a biomass and prokaryoticand copepod abundances.

Awala St Awas well represented in factor plan 3, characterised by the lowest PA abundance.

In addition, Awala St Aexhibited 89% mud, the lowest Chl a biomass, the lowest prokaryotic and meiofauna abundances, but the highest proportion of small nematodes and copepods.

Discussion

The coasts of French Guiana and Suriname in South America are considered the muddiest in the world due to the enormous suspended sediment input from the Amazon River.

Our six sampling sites were located 700 km (Kourou) to 1200 km (Nickerie) from the mouth of the Amazon River.

Our work clearly demonstrated that the distribution of the environmental parameters measured (median grainsize, OM content, Chl a biomass,and prokaryotic cell abundance) was independent of the distance of the AmazonRiver mouth among sampling sites of the four study sites.The grain size ranged from 5.411 µm amongthe six sampling sites,and the percentage of the mud in these six stations was independent of the distance to the AmazonRiver, from east to west (from French Guiana to Suriname).The environmental parameters probably were more influencedby the local dynamism of the migration of the mudbanks [START_REF] Allison | Origin of Amazon mudbanks along the northeastern coast of South America[END_REF]. Indeed, mudbanks are under strong influence of waves, tides, wind, and coastal currents, generating the movement of fluid mud, which movesmore than 1 km y -1 [START_REF] Allison | Origin of Amazon mudbanks along the northeastern coast of South America[END_REF].These migrant banks impose a geomorphological dynamic, leading to rapid,local changes of the shoreline [START_REF] Anthony | The Amazon-influenced muddy coast of South America: A review of mud-bankshoreline interactions[END_REF].In the same manner, distribution and structure of Chl a and meiofauna were independent of the distance to the Amazon River.Further studies are needed at a smaller scaleto measure the physical conditions of the resuspension of the sediment (i.e., bed friction velocity) [START_REF] Dupuy | Sequential resuspension of components (virus, prokaryotes and protists) of biofilm by erodimetry experiments in the Brouage mudflat (French Atlantic coast): subsurface vertical distribution of microorganisms into the sediment[END_REF]Orvain et al., 2014).

The postulated hypothesis tested was that compositions and abundances of meiofauna were different according to the grain size and particularly the fraction of fine sediment particles. In the literature, muddy sediments are characterized by high meiofaunal, and in particular, nematode abundances (Giere, 2009;[START_REF] Heip | The ecology of marine nematodes[END_REF]. Yamanaka et al. (2013) found an increase of meiofauna abundance with increasing particle size (183230 µm median particle size) on shallow-and intermediate-slope beaches. [START_REF] Coull | Role of meiofauna in estuarine soft-bottom habitats[END_REF] argued that abundance values tend to be highest in organically enriched muds but lowest in clean sands. This postulated hypothesis is not corroborated with the present dataset, where sediments are very muddy, compared to the studies of [START_REF] Coull | Role of meiofauna in estuarine soft-bottom habitats[END_REF]. In fine silt sediment, meiofauna was as abundant as fine sandy medium silt or very coarse sandy fine silt.However, this hypothesis is corroborated with the different size classes of nematodes; small nematodeabundance (mainly dominated by 2A feeding type)is positively correlated with higher percentage of mud (fine silt sediment) and OM content, and, inversely, large nematodeabundance (mainly dominated by 2B feeding type)is negatively correlated with higher percentage of mudand OM content.

Consequently, granulometry and OM content appear to be driving factors of the size structure and functional characteristics of nematodes.Nonetheless, sediment texture is also likely to have a strong structuring influence on nematodes. Thus, in percentage, small nematodes, mainly dominated by epigrowth-feeders nematodes, are more abundant in very fluid mud (Awala St A: 44%) compared to compacted bare mud in front ofmangroves (Awala St C: 17%). This result could be explained by the sediment texture in Awala St A-the high fluidity of mud may result in high physical instability of the sediment (tidal currents, wave action, or input of resuspended sediment), causing a large perturbation to the settlement of the meiofauna. The lowest values of Chl a biomass, prokaryotes, and meiofauna abundances were recorded at Awala St A. Thus, the likely high mobility of sediment selects for smaller meiobenthic organisms and epigrowth-feeders nematodes and disturbs the larger organisms in the sediment as omnivorous-carnivorous nematodes (2B). [START_REF] Kapusta | Meiofauna structure in Tramandaí-Armazém estuary (South of Brazil)[END_REF] recorded the lowest abundance of meiofauna in unstable sediment in achannel in the Tramandai-Armazem estuary in southern Brazil, and highest abundance of meiofauna, especially large species, in a sheltered area(i.e., seagrass beds). Yamanaka et al. (2013) demonstrated that the most significant factor affecting meiofauna was exposureto waves and currents.

The second postulated hypothesis was that meiofauna was more abundant when biofilm of Chl a and prokaryotes, both representing potential prey for meiofauna, were more abundant. This hypothesis was not corroborated with the present dataset. In this study, no correlation was found between meiofauna abundanceand their potential prey. The interpretation is 1) the bacterivory in meiofauna is considered a minor factor in the regulation of the prokaryote pool, andbacteria do not constitute a preferentially ingested resource (notopdown control of bacteria [Pascal et al., 2008b]); and 2) despite the fact that herbivory is largely extended in meiofauna and confirmed here by the dominance of the epigrowth-feeders (2A) in different stations, the primary production largely supplies their food needs in intertidal mudflats. Finally, meiofauna uses only a negligible part of carbon from primary production [START_REF] Middelburg | The fate of intertidal microphytobenthos carbon. An in situ 13C labelling study[END_REF][START_REF] Moens | Tracing organic matter sources of estuarine tidal flat nematodes with stable carbon isotopes[END_REF][START_REF] Pinckney | Microalgal-meiofaunal trophic relationships in muddy intertidal estuarine sediments[END_REF][START_REF] Rzeznik-Orignac | Experimental estimation of assimilation rates of meiofauna feeding on C-14-labelled benthic diatoms[END_REF][START_REF] Van Oevelen | Quantifying intertidal food webs, using biomass, tracer and carbon isotope data[END_REF].Food availability also does not appear to limit meiofaunal abundance (no top-down control of MPB [START_REF] Coull | Role of meiofauna in estuarine soft-bottom habitats[END_REF]). Furthermore, [START_REF] Tolhurst | Lack of correlation between surface macrofauna, meiofauna, erosion threshold and biogeochemical properties of sediments within an intertidal mudflat and mangrove forest[END_REF] did notfind a correlation between meiofauna and Chl a biomass. It appears that further investigations are needed to assess the primary production and meiofauna grazing rates in order to obtain reliable data of carbon flux in benthic ecosystems of the coasts of the Guianas.

Soft mudflats are characterised as containingimportant biofilms of MPB [START_REF] Du | Microphytobenthic biomass and species composition in intertidal flats of the Nakdong River estuary, Korea[END_REF][START_REF] Herlory | Microstructure of microphytobenthic biofilm and its spatio-temporal dynamics in an intertidal mudflat (Aiguillon Bay, France)[END_REF][START_REF] Perkins | Changes in microphytobenthic chlorophyll a and EPS resulting from sediment compaction due to de-watering: opposing patterns in concentration and content[END_REF][START_REF] Underwood | Primary production by phytoplankton and microphytobenthos in estuaries[END_REF][START_REF] Underwood | The importance of extracellular carbohydrate production by marine epiplelic diatoms[END_REF] andhaving highmeiofaunal abundances [START_REF] Heip | The ecology of marine nematodes[END_REF] compared to sandy sediment. In the present study, in banks with muddy sediment of French Guiana and Suriname, the same tendency was found. For example, in stations with fine silt (muddy),Chl a biomass was 919 µg Chl a g -1 DW sedimentbut lower in stations exhibiting sandy mud(around 7µg Chl a g -1 DW sediment). Similar values are found in European uppershore mudflats (8.521µg Chl a g -1 DW sediment [START_REF] Herlory | Microstructure of microphytobenthic biofilm and its spatio-temporal dynamics in an intertidal mudflat (Aiguillon Bay, France)[END_REF][START_REF] Orvain | Relevance of biofilm features to understand the dynamic behavior of sediment erodability and microphytobenthos resuspension[END_REF][START_REF] Underwood | Microphytobenthos and phytoplankton in the Severn estuary, UK: Present situation and possible consequences of a tidal energy barrage[END_REF]), and lower values are found in sandflats of the Severn estuary (mean of 5 µg Chl a g -1 DW sediment [START_REF] Underwood | Microphytobenthos and phytoplankton in the Severn estuary, UK: Present situation and possible consequences of a tidal energy barrage[END_REF]).However, the Chl a datafromthe literature presented above wereobtained from the first 200, 500, or 1000 µm of the surface sediment,whereas data obtained in this study correspond to the first 2 cm of mud. In this case, the Chl a biomassis likely tohave been diluted with sediment devoid of that used for MPB analysis. A supplementary study analysing the top 0.5 mm of the sediment surface in a few stations in French Guiana and Suriname showed that Chl a biomass could reach up to 180 µg Chl a g -1 DW sediment in fine silt sediment (Awala St B and St C) and 80 µg Chl a g -1 DW sediment in sandy mud sediment (Kourou) (unpublished results, Dupuy, personal communication). This supplementary study demonstrated that in intertidal sandy mud sediments and fine silt sediments of French Guiana and Suriname,primary producer biomasstends to be greater thanin other tropical or European flats.

Prokaryotic abundance was within the same range as that of European mudflats(2 10 9 cellscm -3 at Brouage [START_REF] Lavergne | An efficient and rapid method for the enumeration of heterotrophic prokaryotes in coastal sediments by flow cytometry[END_REF][START_REF] Orvain | Relevance of biofilm features to understand the dynamic behavior of sediment erodability and microphytobenthos resuspension[END_REF], and in the review of [START_REF] Schmidt | Constancy of bacterial abundance in surficial marine sediments[END_REF], bacterial abundance remains stable, around 10 9 cellscm -3 .

In our study, the meiofaunal community was constituted of only six taxaincluding small organisms of macrofauna (bivalves and gastropods). In other studies on intertidal flats, number of taxa wasvariable but in tropical area tend to welcome more taxa: inMangrove forest of Vietnam, 11 taxa were described (Xuan et al., 2007) while 7 taxa were recordedin Southeast coast of India [START_REF] Chinnadurai | Meiofauna of mangroves of the southeast coast of India with special reference to the free-living marine nematode assemblage[END_REF]. In sandy sediment of Maldives in Indian Ocean, from 17 to 20 different taxa were collected [START_REF] Semprucci | The distribution of meiofauna on back-reef sandy platforms in the Maldives (Indian Ocean)[END_REF]2011). In temperate area, the number of taxa varied from 4 to 13 taxa (Bohorquez et al., 1997 andSoetaert et al., 1995 respectively) and was similar to our results (7 taxa: [START_REF] Alongi | Intertidal zonation and seasonality of meiobenthos in tropical mangrove estuaries[END_REF]6 taxa: Orignac et al., 2003).The hypothesis for explaining the lower number of taxa in tropical mudflat in French Guiana, is that mudflat is highly physically instable. Few taxa can survive in such fluid mud in the mudbanks.

On Guianas coast, total abundances of meiofaunawere particularly high, ranging from 88220 ind cm -3 (corresponding to 1760 ind 10 cm -2 to 4400 ind 10 cm -2 ) compared with other studies on intertidal flats, where abundances were lower (1000 ind 10 cm -2 ; [START_REF] Coull | Role of meiofauna in estuarine soft-bottom habitats[END_REF][START_REF] Heip | The ecology of marine nematodes[END_REF][START_REF] Platt | The significance of free living nematodes to the littoral ecosystem[END_REF]. In the Brouage mudflats (Atlantic French coast), the mean abundances were 2000ind 10 cm -2 [START_REF] Rzeznik-Orignac | Spatio-temporal structure of the nematode assemblages of the Brouage mudflat (Marennes Oléron, France)[END_REF]. Similar abundances previously were observed by [START_REF] Montagna | Effect of production and biomass of intertidal microphytobenthos on meiofaunal grazing rates[END_REF] in Marennes Oléron Bay (Atlantic French coast) and by others in European estuaries, such as Gironde, Tagus, and Westerschelde [START_REF] Soetaert | Meiobenthic distribution and nematode community structure in five European estuaries[END_REF], or the mudflats of the Lynher estuary in Cornwall [START_REF] Warwick | Ecological and metabolic studies on freeliving nematodes from an estuarine mudflat[END_REF]. Abundances of meiofauna in mangrovesprovided in the literature correspond to the lower values found in our study: 11562082 ind 10 cm -2 in Vietnam (Xuan et al., 2007); a maximum of 735 ind 10 cm -2 in mangroves of Nha Trang Bay (Vietnam); [START_REF] Mokievsky | Quantitative distribution of meiobenthos and the structure of the free living nematode community of the mangrove intertidal zone in Nha Trang Bay (Vietnam) in the South China Sea[END_REF] and 500 ind 10 cm -2 in a tropical tidal flat of northeastern Australia (Dittman, 2000). The highest value of meiofauna abundance was found by [START_REF] Vanhove | The meiobenthos of five mangrove vegetation types in Gazi Bay, Kenya[END_REF], with 6707 ind 10 cm -2 in the Bruguiera mangrovesin Gazi Bay (Kenya). In conclusion, meiofauna abundance observed in French Guiana and Suriname wasalmost always higher than in other world areas,with the exception of mangroves in Gazi Bay (Kenya) [START_REF] Vanhove | The meiobenthos of five mangrove vegetation types in Gazi Bay, Kenya[END_REF].

As a constituent of meiofauna, nematodes representthe most common and abundant taxon in this study. They are also commonly found in European Atlantic mudflats [START_REF] Montagna | Effect of production and biomass of intertidal microphytobenthos on meiofaunal grazing rates[END_REF][START_REF] Platt | The significance of free living nematodes to the littoral ecosystem[END_REF][START_REF] Rzeznik-Orignac | Spatio-temporal structure of the nematode assemblages of the Brouage mudflat (Marennes Oléron, France)[END_REF] and mangrove ecosystems [START_REF] Alongi | The role of soft-bottom benthic communities in tropical mangrove and coral reef ecosystems[END_REF][START_REF] Chinnadurai | Meiofauna of mangroves of the southeast coast of India with special reference to the free-living marine nematode assemblage[END_REF][START_REF] Mokievsky | Quantitative distribution of meiobenthos and the structure of the free living nematode community of the mangrove intertidal zone in Nha Trang Bay (Vietnam) in the South China Sea[END_REF]Xuan et al., 2007). Nematodes seem to be less prominent in Cuban mangroves [START_REF] Lalana -Rueda | Investigation of the benthos of mangrove coastal lagoons in Southern Cuba[END_REF] and Cape York Peninsula mangrovesin Australia [START_REF] Alongi | Intertidal zonation and seasonality of meiobenthos in tropical mangrove estuaries[END_REF].

Harpacticoid copepods are usually found asthe second-most common taxon in termsof occurrence but are present at much lower abundancescompared to nematodes in this study.

Copepods are more related to coarse or sandy sediments in tropical area [START_REF] Semprucci | The distribution of meiofauna on back-reef sandy platforms in the Maldives (Indian Ocean)[END_REF], or mangrove ecosystems [START_REF] Chinnadurai | Meiofauna of mangroves of the southeast coast of India with special reference to the free-living marine nematode assemblage[END_REF]Xuan et al., 2007) or in many European mudflats [START_REF] Montagna | Effect of production and biomass of intertidal microphytobenthos on meiofaunal grazing rates[END_REF][START_REF] Platt | The significance of free living nematodes to the littoral ecosystem[END_REF][START_REF] Rzeznik-Orignac | Spatio-temporal structure of the nematode assemblages of the Brouage mudflat (Marennes Oléron, France)[END_REF].

Interestingly, and, for the first time on bare mudflat habitat, no foraminifera were found among the six studied stations. Indeed, foraminifera mainly were found in the mangroves with a richness reaching up to 44 species and abundances reaching up to 2000 foraminifera50 cm -3 , but they were rare or absent in the open mudbanks [START_REF] Debenay | Ecological factors acting on the microfauna in mangrove swamps. The case of foraminiferal assemblages in French Guiana[END_REF]. The hypothesis for explaining the unexpected absence of this taxa is that the high physical instability of the mudflat does not allow foraminifera to survivein such fluid mud in the mudbanks aspreviously related by [START_REF] Debenay | Ecological factors acting on the microfauna in mangrove swamps. The case of foraminiferal assemblages in French Guiana[END_REF]. Nevertheless,this hypothesis must be testedby experimental approach.

Further studies in this area are neededin orderto better describe the localspecies richness of the meiofauna,and especially for nematodes. This presents a difficult challenge, since very few data from coasts of the Guianas are available, and many species will have to be described.

Conclusions

On coasts of the Guianas, in the North Atlantic coast of South America in sandy mud sediment and fine silt sediment, biomass of primary producers tended to be greater toward the other world areas, and meiofauna abundance data were almost always higher, despite the high instability of mudflats. Meiofauna was not more abundant when the sediment was composed of the finest sediment particles andalso when Chl aand prokaryotes, potential preys of meiofauna, were greater.But, epigrowth-feeders (2A)nematodesand small ones (biomass of 0.07 ± 0.001 µg ind -1 ) were largelywell adapted in very fluid and unstable mud stations with probably no limitation of food source (e.g. microphytobenthos). No foraminifera were found among the six stations of the study. Very fluid mud with physical instability of sediment caused a large perturbation for the settlement of meiofauna; the least amounts of Chl a biomass and prokaryotic and meiofauna abundances were found there. Thus, the probable mobility of sediment may select for smaller meiobenthic organisms and disturb the larger organisms in the sediment, and, therefore,would not permit the settlement of foraminifera.In addition, temporary meiofauna (e.g. very small macrofauna)largely was foundin the sediment. Fig. 8: Principle component analyses calculated using six observations (samples of six sites: Kourou, Nickerie, Warappa, and Awala Stations A, B, and C) and 14 variables (mud, sand, OM, PA, Chl a, small, medium, and large nematods, copepods, and ostracodes abundance, and the 4 feeding type of nematodes). A) Biplot F1  F2 and B) biplot F1  F3. For each variable, the circle of correlation is reported. Observations were reported in the circle of correlation. Abbreviations: Chl a: chlorophyll a biomass; mud: percentage of mud; sand: percentage of sand; OM: organic matter mass; PA: prokaryotic cell numbers; 1A, 1B, 2A and 2B: feeding guilds of nematodes (see material and methods part for details); st= station.

follows: 1 )

 1 Sample preparation and extraction: dilution (1:10001:2000) in a detergent mix (sodium pyrophosphate [0.01 M] + Tween 80 [0.1%]), vortexing step, and 30 min of incubation at 4°C. After the vortexing step, a sonication separation for 30 s (60W) in ice with a sonication probe (3 mm) was applied. An aliquot of the sample was stained with SYBRGreen I (1:10000) for 15 min in the dark and analysed by flow cytometry (see analysis details below); and 2) the remaining part of the sample was centrifuged at low speed (1 min at 1000 g at 4°C). The pellet was then resuspended in the detergent mix, and step 1 was repeated once. Each sample was analysed for 30 s at low flow speed with a FacsCanto II cytometer (3laser, 8-color [4-2-2], BD Biosciences) using DIVA software. Fluorescent beads (Fluoresbrite Multifluorescent 1-µm microspheres, Polysciences, Germany) were added to each sample and simultaneously analysed. Stained cells were differentiated according to their green fluorescence (FL1) from SYBRGreen I staining and side-scatter properties (SSC).

  Xuan Q.N.,Vanreusel, A., Nguyen, V.T., Smol, N., 2007. Biodiversity of meiofauna in the Intertidal Khe Nhan Mudflat, Can Gio Mangrove Forest, Vietnam with Special Emphasis on Free Living Nematodes. Ocean Science Journal, 42, 135-152. Yamanaka, T., Raffaelli, D., White, P.C.L., 2013. Non-Linear Interactions Determine the Impact of Sea-Level Rise on Estuarine Benthic Biodiversity and Ecosystem Processes. Plos One 8, e68160.

Fig. 1 :Fig. 2 :Fig. 3 :Fig. 4 :

 1234 Fig. 1: Map showing the study area and location of samples collected in French Guiana and Suriname.

Fig. 5 :

 5 Fig. 5: Percentage of meiofauna group at different stations in French Guiana and Suriname areas, classified according to sediment type. st= station. %= percentage. Other groups= sum of plathelminthes, ostracodes, small gastropods and small bivalves.

Fig. 6 :Fig. 7 :

 67 Fig.6: Percentage of the size classes of nematodes at different stations in French Guiana and Suriname areas, classified according to sediment type. Classifications were as follows: small nematodes (mean length: 300 ± 30 µm; mean width: 18 ± 5 µm); medium nematodes (mean length: 695 ± 130 µm; mean width: 26 ± 9 µm); and large nematodes (mean length: 1500 ± 160 µm; mean width: 75 ± 10 µm). st= station. %= percentage.

Table 1 :

 1 Granulometric parameters and organic matter content (OM) (%) of the different stations in French Guiana and Suriname areas.

	Station	Mud (%)	Sand (%)	Mean grain	Median	Sample type	Textural	Sediment	OM (%)
				size (µm)	grain size		group	name
					(µm): D 50
	Kourou	81	19	14.08	10.96	Bimodal	Sandy mud	Fine sandy	4.44
								medium silt
	Awala St1	88.76	11.24	7.96	5.86	Bimodal	Sandy mud	Fine sandy	5.99
								fine silt
	Nickerie	89.65	10.35	9.75	6.54	Bimodal	Sandy mud	Very coarse	5.55
								sandy fine silt
	Warappa	99.78	0.22	5.45	5.15	Unimodal	Mud	Fine silt	6.21
	Awala St4	99.92	0.08	5.62	5.51	Unimodal	Mud	Fine silt	6
	Awala St5	100	0	5.48	5.45	Unimodal	Mud	Fine silt	5.99

Acknowledgments

The authors are grateful from Sophie Maillé from GEPOG in French Guiana for the technical support, and Thierry Guyot (LIENSs laboratory) for the Map. The authors are grateful to the -Plateau microscopie‖ of the LIENSs laboratory of the University of La Rochelle.The work was financially supported by the CNRS and the University of La Rochelle. This research was supported through a PhD grant for Hien Thanh Nguyen from the USTH (University of Hanoï) of Vietnam. A B