Printer Friendly

A Survey of the Benthic Microfauna of the Marine Ecosystem on IRIS-1 Oil Platform at the Cape Skirring in Casamance, Senegal.

Introduction

The West African region has been for long time suspected as having great natural resources of petroleum, but it is only in 2001 that oil was discovered in the West African marine coastal ecosystem [1]. The potential area harbouring this offshore oil covers 3,500 km of coast that extend on six countries: Mauritania, Senegal, Gambia, Guinea Bissau, Guinea and Cape Verde [1]. The extraction of this natural resource of petroleum and all related activities are certainly very beneficial for the six countries in terms of incomes for both governments and indigenous populations, especially those living along the coast [2-4]. However, oil extraction has had severe environmental and social consequences on populations inhabiting areas adjacent oil platforms [1,2,5,6]. The environmental degradations from offshore oil production include degradation of aquatic ecosystems and pollution of both marine air and drinking waters [5,7]. Such environmental degradations constitute a serious stress and health problems for aquatic organisms but also for human populations inhabiting areas surrounding oil platforms [5,7-10]. The ecological disturbances of oil production on aquatic organisms include destruction of habitats, degradation of wildlife and total or sever loss of biodiversity [10,11]. Amongst the adverse impact of oil exploitation is complete destruction of mangroves that are important feeding and spawning areas for fishes [12,13]. The area harbouring the oil resource in West African region corresponds to an important fishing zone with a unique wetland, where the up-welling of deep ocean waters to the surface, creates natural environmental conditions that are suitable for the development of fish species [1]. Many economically important fish species accomplish their entire life cycle in the waters of the six countries harboring this petroleum resources where fisheries is the main source of economic income and social development [14,15]. Along the West African coast, more than 10 millions of people are directly or indirectly dependent on fishing, fisheries and related industrial activities [16,17]. The touristic sector, which is also an important source of incomes, is quite developed in this area [18,19].

Environmental impact assessment studies, including habitat and fauna characterization prior to oil drilling, are necessary to ensure that the area harboring the petroleum reserves is not ecologically important or environmentally sensitive [20-22]. They can, therefore, prevent drilling in such areas [23-25]. Ecologically important areas are environments with high biological diversity that can be damaged by the construction of drilling facilities and related anthropogenetic threats [10,26,27]. Environmental sensitive ecosystems include areas inhabited by endangered species where oil drilling can increase the risk of extinction [1]. Environmental studies can also allow assessing damages caused offshore drilling accidents on aquatic ecosystems and biological diversity [10]. Therefore, initial habitat and fauna characterization is essential since it can help to take appropriate and sustainable environmental management plans for biodiversity restoration when oil drilling accident occurs in the exploitation zone or surrounding areas. Thus, the principal objective of this study was to characterize the habitat and benthic fauna present in IRIS-1 drilling area in Casamance, Senegal. Such an analysis of the benthic fauna is an important element for assessing the impact of oil drilling on the marine environment, especially in the areas where the benthic fauna is likely to be affected by the drilling of an offshore oil well. In fact, benthic fauna, especially sessile organisms, are very sensitive to the effects of pollutants that can annihilate them, degrade natural habitats, and modify trophic relationships between species. Hence, the main focus of this study is the assessment of the oil exploitation impacts on marine habitats and the specific composition of the benthic communities in IRIS-1 drilling area. In addition to these elements, a critical analysis of potential impacts of oil exploitations on benthic organisms and their implication on biodiversity loss was conducted.

Materials and Methods

Oil platform

The petroleum exploration in West African region started in the 1960 and 1970's and targeted the tops of certain domes in the Casamance salt basin. This prospection has resulted to the discovery of large heavy oil accumulation in the Tertiary-aged carbonates but also to significant light oil (~33[degrees] API) that was encountered in the Cretaceous Maastrichtian sandstones [1]. A large Shallow block located between Senegal and Guinea Bissau where oil and gas exploitation is controlled and regulated by the AGC (Agence de Gestion et de Cooperation avec le Senegal et la Guinee Bissao). It was then adware to Oryx Petroleum Corporation Limited Company in October 2011 for an initial four year of exploration period. This Shallow block called AGC Shallow is in offshore area and has an offshore drilling called IRIS-1 drilling, which covers 1,700 [km.sup.2] AGC Shallow [1]. Although these oil reserves are likely to generate significant new economic interests along the coast Senegal to Guinea Bissau, their exploitation must take into account the potential biological and ecological side effects on aquatic ecosystems and their biological diversity. Thus, an environmental and social impact assessment study was recommended inside the block AGC Shallow awarded to the Oryx Petroleum Corporation Limited consortium.

The study area: characteristics and fisheries activities

Cape Skirring, the mouth of Casamance River in Senegal-GuineaBissau border, covers an area of approximately 23 kilometres on the Atlantic coast. The sandy sea coasts are more frequent. The vase is present at the mouth of Casamance River and a little at the border with Guinea-Bissau. The climate is tropical and is characterized by a long dry season from November to Jun and a short rainy season from July to October. The annual precipitations are overall significant; with an average of 1400 mm. The tropical divergence oscillates within a range of latitudes concerning the Cape Skirring sector. The amplitude of these variations is high and the inter-annual variability is significant. Such a situation is due to the large-scale of meteorological and ocean balances. Supplementary Table 1 shows changes in salinity and temperature of water surface. From January to March, the salinity is largely stable at around 30 psu and is around 35 psu the rest of the year. Salinity varies slightly around that of ocean water. Decreases in water salinity often occur in the mixing zones at the mouths of rivers during and/or at the end of the rainy season. The surface water temperature, by contrast, depends on local climate, wind and water circulation in the area. The lowest values were observed between December and April.

The continental shelf of Cape Skirring like the rest of the Casamance maritime domain is very broad. The 200 meter isobaths is very far from shore, up to 100 km in the extreme south, toward the border with Guinea-Bissau. The vast majority of oceans seabed is tangible. The vase is visible in certain locations. Muddy with the bottom trawling. The majority of vast allows and fine sands account for a significant proportion. The rocks are scattered and may interfere algal cover of Cape Skirring area. The tide is semi-diurnal and the average tidal range is moderate (about one meter). The sea swell is generally low. A swell, current "long shore current" of around 1 [ms.sup.-1] is observed in the area.

A total number of 78 species or groups of species, height of which covers more than 80% of the annual captures, are caught in Cape Skirring area. Supplementary Table 2 shows the relative importance of the main groups of species. Of the five types of fishing gear operating in Cape Skirring port, two represent nearly 99% of the total annual fishing effort. This includes fixed nets of soles (96%) and lobster (3%). A number of canoes based in Cape Skirring operate in Guinea-Bissau (Bijagos Archipelago). The annual landings from this country represented almost 30% of fish landed in this port in 1998. This percentage has certainly doubled due to the current scarcity of fisheries resources in Senegal. The southern part of Cape Skirring used by industrial fishing based in Dakar. Many fishing vessels targeting demersal fish operate in this area rich in fisheries resources.

Selection of sampling stations and sampling equipment

Ten sampling stations starting from the drilling point were selected for the sampling of benthic fauna (Figure 1). These sampling locations are positioned as a star at one km, then 5 km around the drilling zone. Supplementary Table 3 shows the geo-referenced coordinates. A conical dragging system of 160 [cm.sup.3] was used. It was preferred over the Van Veen grab, which by the nature of funds (soft mud), loses its contents during the ascent phase. The craft boarded a large canoe of Saint-Louis (Senegal) twenty meters long with two outboard motors (40 HP and 30 HP, respectively) allowed to scrape the surface of the background with the inhabiting organisms. To ensure proper operation of the dredge, a huge stone weighing one kg was used to weight the machine.

Collection, sorting and counting of benthic fauna samples

The benthic fauna samples were collected in Jun 2014 at ten different stations of the IRIS-1 drilling zone. At least two replicas per station were carried out in each sampling campaign; the filtered samples are then stored in bottles and/or plastic bags and conserved in 95% alcohol and stored at 4[degrees]C in a fridge. The type of soil is described from samples taken and by visual observation during screenings (Supplementary Table 3). Laboratory analyses were conducted on all collected samples. Rose Bengal solution (protein dye) 1 g/l was added to the samples to allow a clear staining of individuals (biological tissue). This makes the counting easier and allows clear identification operations. All replicas are treated at biovolume measurements for each station. Each sample was split using the Matoda box to obtain aliquots and each sub-sample part was placed in a Dolfus cuve for counting and determination of individuals under a binocular microscope. Empty shells, debris, stones were not counted. Their percentage in the whole sample was estimated from the volume of organisms in the collected sediment. The species present in the different sediment samples collected in the studied sites are determined and classified by order, gender and family using benthic fauna identification key [28,29].

Diversity and evenness indices

The Shannon-Wiener Index (H') is commonly used as diversity index in benthic ecological analyses [30]. The Shannon diversity was used in this study to estimate the diversity of benthic fauna present in IRIS-1 drilling area. This index, that is dependent on sample size, was used for assessing the heterogeneity of the environment in term of benthic organism composition. The Shannon index was calculated using the logarithm for a base 2, using the following formula:

H'= -[summation]pi ln (pi) (1)

Where pi is the proportion of individuals found in species "i" in terms of abundance. This proportion can be estimated as pi=ni/N, where ni is the number of individuals in species "i" and N is the total number of individuals in the sampled community.

Pielou's index, which is a measure of species evenness, was used in this study to assess species distribution over all sampling stations [31]. It is defined as a diversity index, a measure of biodiversity, which quantifies how equal the community is numerically. Pielou's index was calculates using the following formula:

J = H'/ln(S) (2)

Where H' is Shannon Weiner diversity and S is the total number of species in a sample, across all samples in dataset. Multiple comparisons were conducted using Kruskal-Wallis nonparametric test to compare the diversity and evenness indices between sampling stations.

A principal components analysis (PCA) of the distribution patterns of the species encountered at the ten stations (44 species x 10 stations) was done to identify an overall structure of identified benthic fauna. PCA is an ordination method that uses linear equations of variables to explain the variation in an environmental data set by finding the dominant gradient(s). PCA assumes a linear response model. PCA was performed using the statistical R package.

Trophic level determination

The definition of the trophic categories or groups allows simplifying the complex interactions of the trophic web of an ecosystem. Hence, for this study, we used Grall et al. [32] classification of the trophic categories. The Grall discrimination of trophic groups is based on species diet, whatever its origin (animal or plant) or its state (living or decomposed). Thus, all species found in the ten sampling stations of the IRIS-1drilling zone were grouped into trophic categories according to Grall et al. [32].

Results

Benthic fauna composition

A list of the benthic fauna composition is established for each of the 10 sampling stations where samples were collected (Table 1, Supplementary Table 4). The number of individuals collected for each species was counted and then reported to the volume of the taken sample. Table 1 indicates the results of these analyses. Thus, for all the sampled stations, 44 groups of species were identified (Supplementary Table 4). The most relatively represented among these groups are bivalve mollusks (27.27%), gastropod mollusks (15.91%), annelids (9.09%), and nematodes (9.09%). The most abundant species within these groups, are Nuculana sp (bivalve mollusk), followed by Neanthes kergulensis (annelid) and Cyclopten sp (nematode) while the less represented species are Cymiidea sp (bivalve mollusk), Turridea sp (gastropod mollusk) and Crassateldea sp (bivalve mollusk) (Figure 2). Crasostrea gasar, which is a species with a local economic importance, is moderately represented compared to the other species (Figure 2).

Benthic fauna structure

There were significant differences in the occurrence and abundance among trophic groups observed on the IRIS-1 drilling area. The macro-invertebrate feeders accounted for 38.89% of the numerical abundance and were found in all ten sampling locations (Supplementary Table 4). The most frequently encountered species in this trophic group is Neanthes kerguelensis, which was present in seven of the ten sampling stations. It is followed by Priapulidea sp, which was found in six stations. The next most represented species of this trophic group are Epoitonidea sp and Crassatellidea sp, which was encountered only in three of the ten sampling stations (Supplementary Table 4). The other species that constitute this group are only present in one station. Detritus feeders/Herbivores were the next most important trophic group, accounting for 12.96% of the total abundance (Supplementary Table 4). They were dominated by Buccinidea sp, which was found in seven locations. Another highly represented trophic group was Plankton and Nutrimental feeders (11.11%), essentially constituted by Sea squirts, which was encountered in six of the ten sampling locations. Zooplankton, filter and bottom feeders are the less important among the trophic groups encountered in the IRS-1 drilling area (Supplementary Table 4).

Species richness, diversity and evenness of benthic fauna

The highest species richness is noted at the sampling stations S8, S5 and S10, with 21, 17 and 16 species, respectively whereas the lowest species richness was recorded at the sampling stations S3 and S4 (8 and 7 species, respectively) (Figure 3). The average richness was recorded at stations S2 and S6 (10 species each) (Figure 3). The specific diversity differs significantly from one sampling station to another. The Shannon index varies between 1.66 and 2.54 with an average of 2.09 (Supplementary Table 5). The values of Shannon index vary slightly between the stations located around the drilling zone. The values of species evenness (Pielou's index) showed a good specific distribution over all sampling stations. The different values of the Pielou equitability index at station level show, at first sight, a quite different specific distribution from one station to another (Supplementary Table 6). We therefore performed a Kruskal-Wallis nonparametric test, which showed observed K of 1.905 with a P-value lower than 0.05. The results of these tests indicated that the values of equitability index calculated for each sampling showed a quite different specific distribution from one station to another. Overall, there is a good specific distribution. However, the species distribution patterns at the ten stations are significantly different as evidenced by the Kruskal-Wallis nonparametric tests of Pielou equitability index.

The PCA analyses are in accordance with these results (Figure 4). The two first PCA axes accounted for 34.14% of total variance and showed that the sampling stations S1, S2, S3, S6, S8 and S10 harbour most of the species richness compared to S4, S7, S9 and S5 where only few species have been recorded (Figure 4). Based on the PCA map, the benthic fauna of the IRIS-1 drilling area formed two distinct clusters in terms of the composition in species group. The cluster formed by the sampling locations S1, S2, S3, S6, S8 and S10 and that constituted by the stations S5 and S9 (Figure 4).

Discussion

This study represents the first scientific survey of the marine and coastal ecosystem on oil platform of West Africa. This work provides an overview of the benthic microfauna present in the IRIS-1 drilling area in front of Cap Skiring (Casamance, Senegal). The results show an important diversity of the benthic species, dominated by marine mollusks, essentially sessile species. These organisms are sensitive to oil disturbances, which at long-term, may have serious effects on their biological and physiological functions. Indeed, the drilling operation mainly produce two types of waste, cuttings generated by the equipment used to drill the oil well and the mud resulting from the drilling operations. The drilling mud is a mixture of clay (netonic) that may be loaded with organic polymers, salts and other chemicals suspended in liquid, used for drilling purposes and other activities related to oil prospecting. The sludge may contain heavy metals, which together with the clay, are the main source of heavy metal pollution from drilling rejects [33,34] and their presence in the sediment is essential to better appreciate the potential impacts due to heavy metals. During drilling, the drill cuttings (drilling muds) are continuously discharged and are reprocessed and recycled before being recovered in containers designed for this purpose [35]. The fate of the chemicals used in drilling, which are often located in the water column depends on local oceanographic conditions in the area (current strength, the height of the bottoms), the sediment particle size, their hydrophobic properties, and the amount of drilling waste produced [36]. These chemicals can thus end up in benthic organism's body living around the drilling area, which can concentrate them in their body [37]. The benthic fauna around IRIS-1 could be exposed to such a type of risk. It is, therefore, necessary take into accouter this possibility by advocating mitigation and mitigation measures for this impact.

Fish food organisms may also be contaminated by this source of pollution, especially for marine invertebrates, found in benthic fauna and zooplankton. The importance of such a contamination varies according to the species and the development stages, with post-larvae and juveniles being more vulnerable than adults [38]. Sessile species of benthic fauna are more vulnerable to petroleum products, but mobile species can be also impacted, although these impacts are less important for this latter group [39]. Apart from choking mortality, petroleum products may cause changes in species composition, metabolism and feeding efficiency in marine mollusks [10,25]. These phenomena have been well studied in France since they happened during the accident at sea of Amoco Cadiz in 1978 on the coasts of Brittany [40] that resulted in. chronic and deleterious effects on benthic invertebrates. These studies showed that some macrofauna species (benthic invertebrates such as the violon crab and some clam species) can survive in sediments strongly affected by oil spills, which can be explained by feeding behaviors of certain marine invertebrates. Some species feed elsewhere than in the sediment and are therefore less vulnerable than those whose living areas closely related to the sediments. Sediments contaminated by mixtures of products from offshore drilling operations can act in synergy with other chemicals present in the water column and cause death of benthic organisms and/or cause major changes in the trophic chain.

In conclusion, the benthic microfauna around the IRIS-1 drilling well in front of Cap Skiring in Casamance have a medium specific diversity of about 44 species with more or less pronounced spatial variability. Marine mollusks, consisting essentially of sessile species (gastropods, bivalves), constitute the most important group. These organisms are quite sensitive to oil disturbances. The proposed mitigation and mitigation measures for the IRIS-1 should focus on elements that are least harmful for the environment and living species the area. An alternative would be to use dispersants to reduce the toxicity of products discharged into the sea.

Consent for Publication

Not applicable.

Availability of Data and Material

All datasets supporting the results of this article are included in the article and its additional files.

Competing Interests

Eventual conflicts of interest (including personal communications or additional permissions, related manuscripts), sources of financial support, corporate involvement and patent holdings are disclosed.

Funding

The project that allowed collecting the dada related to this manuscript was funded by CRODT, ISRA, Senegal.

Authors' Contributions

ADD, AD and MS collected the data. MT and ADD performed the data analysis. MT drafted the manuscript. All the authors have read and contributed to the manuscript preparation.

Acknowledgments

The authors would like to thank CRODT, ISRA, Senegal for financial support.

References

[1.] Kloff S, Wicks C (2004) Environmental management of offshore oil development and maritime oil transport. Report CEESP pp: 73.

[2.] Forrest JJ, Sousa MV (2006) Oil and Terrorism in the New Gulf: Framing US Energy and Security Policies for the Gulf of Guinea. Lexington Books 329: 13-14.

[3.] Moreno CJ (2009) Oil and Gas Exploration and Production in the Gulf of Guinea: Can the New Gulf Be Green? Houston Journal of International Law pp: 31.

[4.] Nyemah RGM (2011) Economics of oil discovery in West Africa: the Nigerian experience. Regional Maritime University. Research and Consultancy.

[5.] Mariano JB, La Rovere EL (2003) Environmental Impact of the Petroleum Industry. Encyclopedia of Life Support Systems 2003: 1-6.

[6.] Tuttle MLW, Charpentier RR, Brownfield ME (1999) The Niger Delta Petroleum System: Niger Delta Province, Nigeria, Cameroon, and Equatorial Guinea, Africa. Open-File Report pp: 70.

[7.] Bayode OJA, Adewunmi EA, Odunwole S (2011) Environmental implications of oil exploration and exploitation in the coastal region of Ondo State, Nigeria: A regional planning appraisal. Journal of Geography and Regional Planning 4: 110-121.

[8.] Achi C (2003) Hydrocarbon Exploitation, Environmental Degradation and Poverty: The Niger Delta experience. In proceedings of the Diffuse Pollution Conference, Dublin.

[9.] Nwankwo JN (1984) Oil and Environmental Pollution. Paper Presented at the Conference on Strategies for the Fifth National Development Plan: 1986-1990 1984, NISER pp: 25-29.

[10.] Ugochukwu CNC, Ertel J (2008) Negative impacts of oil exploration on biodiversity management in the Niger Delta area of Nigeria. Impact Assessment and Project Appraisal 26: 139-147.

[11.] Cordes EE, Jones DOB, Schlacher TA, Amon DJ, Bernardino AF, et al (2016) Environmental Impacts of the Deep-Water Oil and Gas Industry: A Review to Guide Management Strategies. Frontiers in Environmental Science 58: 1-26.

[12.] Adeyemo OK, Ubiogoro OE, Adedeji OB (2013) Oil exploitation, fisheries resources and sustainable livelihood in the Niger delta, Nigeria. Nature and Faune 24: 56-88.

[13.] Diop ES (1993) Conservation and Sustainable Utilisation of Mangrove Forest in Latin America and African regions. Part II-Africa International Society for Mangrove Ecosystem and Coastal Marine Project of UNESCO Mangrove Ecosyst Techn Rep 3:

[14.] FAO (2006) Contribution of fisheries to national economies in West and Central Africa. Policies to increase the wealth generated by small-scale fisheries. Rome (Italy) Fisheries Dept.

[15.] Horemans B, Kebe M (2006) Enhancing the economic contribution of fisheries to West and Central African Nations. IIFET Portsmouth Proceedings 2006: 1-9.

[16.] FAO (2016) The State of World Fisheries and Aquaculture 2016. Contributing to food security and nutrition for all. Rome pp: 200.

[17.] Ndiaye PG (2016) Trade subsidies and the development of fisheries value chains in West Africa. Bridges Africa pp: 5.

[18.] UNWTO (2015) Tourism in Africa: A Tool for Development. World Tourism Organization Affiliate Members Regional Reports 4:

[19.] Weigert M (2015) Tourism in West Africa: an economic, social and cultural opportunity. African Developement Bank.

[20.] Foluke A (2012) Strategic environmental assessment (SEA) for oil and gas development plans. A compilation made during a five months internship at the Netherlands Commission for Environmental Assessment (NCEA), Utrecht, Netherlands.

[21.] Kasimbazi EB (2012) Environmental Regulation of Oil and Gas Exploration and Production in Uganda. Journal of Energy & Natural Resources Law 30: 185-221.

[22.] Noble B, Ketilson S, Aitken A, Poelzer G (2013) Strategic environmental assessment opportunities and risks for Arctic offshore energy planning and development. Marine Policy 39: 296-302.

[23.] Baudin F, Disnar JR, Martinez P, Dennielou B (2010) Distribution of the organic matter in the channel-levees systems of the Congo mud-rich deep-sea fan (West Africa). Implication for deep offshore petroleum source rocks and global carbon cycle. Mar Petrol Geol 27: 995-1010.

[24.] Friedlander AM, Ballesteros E, Fay M, Sala E (2014) Marine Communities on Oil Platforms in Gabon, West Africa: High Biodiversity Oases in a Low Biodiversity Environment. PLoS ONE 9: e103709.

[25.] Pradella N, Fowler AM, Booth DJ, Macreadie PI (2013) Fish assemblages associated with oil industry structures on the continental shelf of northwestern Australia. J Fish Biol 84: 247-255.

[26.] Schroeder DM, Love MS (2004) Ecological and political issues surrounding decommissioning of offshore oil facilities in the Southern California Bight. Ocean Coast Manage 47: 21-48.

[27.] White HK, Hsing PY, Cho W, Shank TM, Cordes EE, et al (2012) Impact of the Deepwater Horizon oil spill on a deep-water coral community in the Gulf of Mexico. Proc Nat Acad Sci 109: 20303-20308.

[28.] CCAMLR V (2009) Taxa Classification Guide pp: 4.

[29.] Hibberd T, Moore K (2009) Field Identification Guide to Heard Island and McDonald Islands Benthic Invertebrates: A guide for scientific observers aboard fishing vessels. Fisheries Research and Development Corporation (Australia) pp: 159.

[30.] Shannon CE (1984) A mathematical theory of communication. Bell System Technical Journal 27: 379-423.

[31.] Pielou EC (1975) Ecological diversity. Wiley, New York. Limnology and Oceanography 22: 174.

[32.] Frost TK, Nilsen I, Neff J, Altin D, Lunde KE (2006) Toxicity of drilling discharges, Statoil, Battelle Bio Trix? Norsk Hydro, Trondheim, Norway.

[33.] Grall J, Le Loc'h F, Guyonnet B, Riera P (2006) Community structure and food web based on stable isotopes ([delta]15N and [delta]13C) analysis of a North Eastern Atlantic maerl bed. Journal of Experimental Marine Biology and Ecology 338: 1-15.

[34.] Neff JM (2005) Composition, environmental fates, and biological effects of waste based drilling muds and cuttings discharged to the marine environment: A synthesis and annoted viobliography Battelle Duxbury, MA.

[35.] Breuer E, Stevenson AG, JAH, Carroll J, Shimmield GB (2004) Drill cutting accumulation in the Northern and Central Sea: a review of environmental interactions and chemical fate. Marine Pollution Bulletin 48: 12-25.

[36.] Khondaker AN (2000) Modelling the fate of drilling waste in marine environment - an overview. Computers and Geosciences 26: 531-540.

[37.] Breuer E, Howe JA, Shimmield GB, DCJC (1999) Contaminant Leaching from Drill Cuttings Piles of the Northern and Central North Sea. A Review, Dunstaffinage Marine Laboratory.

[38.] Ober HK (2010) Effects of Oil Spills on Marine and Coastal Wildlife. Wildlife Ecology and Conservation Department. UF/IFAS Extension WEC 285.

[39.] Michel J (2016) Oil Spills: Causes, Consequences, Prevention, and CountermeasuresOil Spills: Causes, Consequences, Prevention, and Countermeasures. In book: Fossil Fuels pp: 159-201.

[40.] Conan G (1982) The long-term effects of oil pollution on marine populations, communities and ecosystems - The long-term effects of the Amoco Cadiz oil spill. Philosophical transactions of the royal society B. Biological Sciences 297: 323-333.

Hamet Diaw Diadhiou (1), Mbaye Tine (2*), Anis Diallo (1) and et Mor Sylla (1)

(1) ISRA/Oceanographic Research Center Dakar-Thiaroye, BP 2241, Dakar, Senegal

(2) UFR of Agricultural Sciences, Aquaculture and Food Technologies (UFR S2ATA), Gaston Berger University (UGB), Ngallele Road BP 234 Saint-Louis, Senegal

(*) Corresponding author: Mbaye Tine, UFR of Agricultural Sciences, Aquaculture and Food Technologies (UFR S2ATA), Gaston Berger University (UGB), Ngallele Road BP 234 Saint-Louis, Senegal; E-mail: mbaye.tine@ugb.edu.sn

Citation: Diadhiou HD, Tine M, Diallo A, Sylla M (2017) A Survey of the Benthic Microfauna of the Marine Ecosystem on IRIS-1 Oil Platform at the Cape Skirring in Casamance, Senegal. Fish Aqua J 8: 234. doi:10.4172/2150-3508.1000234

Received date: October 07, 2017; Accepted date: November 23, 2017; Published date: November 30, 2017

DOI: 10.4172/2150-3508.1000234
Table 1: List of species found in benthic wildlife harvesting in IRIS-1
drilling area.

      Phylum               Species

     Annelids       Neanthes kerguelensis
                       Aphroditidea sp
                     Serula narconensis
                      Lumbrineridea sp
                        Oligochaetes
   Chaetognaths        Chaetognathe sp
   Crustaceans           Euphausiids
                         Decapods sp
                          Copepods
                          Coryceaus
                         Cumacea sp
                    Larvae of crustaceans
    Arthropods           Serilis sp
                       Pedunculata sp
                        Natatolana sp
     Tanaids            Tanaidacea sp
                      Apseudomorpha sp
Gastropod mollusks    Cerithiopsidea sp
                        Buccinidea sp
                         Turridea sp
                      Cancellariidea sp
                       Nassariidae sp
                       Epitoniidea sp
                       Gasteropodea sp
                       Enixotiophan sp
                       Epoitonidea sp
                      Fissurellidea sp
 Bivalve mollusks     Crassatellidea sp
                         Nuculana sp
                         Bivalvia sp
                      Crasostrea gasar
                         Kidderia sp
                         Euciroa sp
                      Opistotranchia sp
                        Cyaniidae sp
                      Galeommatidea sp
                        Limopsidea sp
                          Cardiidea
                        Gouldiopa sp
    Nematodes          Priapulidea sp
                       Sipunculidea sp
                       Pennatulacea sp
                     Platyhelminthes sp
   Broken eggs              Fish?
   Turbelleria         Turbellerea sp
     Chordate            Sea squirts
     Bryozoa        Lagunenchara lyrulan
COPYRIGHT 2017 HATASO Enterprises, LLC
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2017 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Title Annotation:Research Article Open Access
Author:Diadhiou, Hamet Diaw; Tine, Mbaye; Diallo, Anis; Sylla, Mor
Publication:Fisheries and Aquaculture Journal
Article Type:Report
Geographic Code:6SENE
Date:Dec 1, 2017
Words:4828
Previous Article:Length-weight Relationships and State of Well-being of Parachanna obscura Gunther1861, in Eleyele Reservoir, Southwestern Nigeria.
Next Article:Changing of Sea Surface Temperature Affects Catch of Spanish Mackerel Scomberomorus Commerson in the Set-Net Fishery.
Topics:

Terms of use | Privacy policy | Copyright © 2021 Farlex, Inc. | Feedback | For webmasters |