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South Asian Journal of Life Sciences

SAJLS_5_1_19-29

 

 

Research Article

 

Ichthyofauna of TovĂš River in the South Benin: Specific Diversity and Spatial Distribution

 

Gildas Djidohokpin1,2*, Edmond Sossoukpe1, Zacharie Sohou1,3, Joseph L. Tamesse2, Emile D. Fiogbe1

1Research Laboratory on Wetlands (LRZH), Department of Zoology, Faculty of Sciences and Technics, University of Abomey-Calavi (UAC), B.P. 526 Cotonou, Benin; 2Zoology Laboratory, Higher Teachers’ Training College, University of YaoundĂ© I, P.O. Box 47, YaoundĂ©, Cameroon; 3Benin Fisheries and Oceanologic Research Institute (IRHOB), 03 B.P. 1665 Cotonou, Benin.

 

Abstract | Aquatic ecosystems shelter an important animal biological diversity, which constitute a protein source for populations. In order to ensure the sustainable management of these commercially important resources, this study was conducted to explore the ichthyological fauna of the TovĂš River in Benin. The fish fauna was sampled from October 2015 to September 2016 with a range of several fishing gears. A total of 46 species belonging to 30 genus and 19 families were identified. Cichlidae are the most dominant family with 13 species followed by Mormyridae with 7 species, Characidae and Clariidae, are represented each by 4 species. The most dominant species are Synodontis schall, Shilbe intermedius and Tilapia dageti respectively. The species richness is not significantly different between the 3 study areas (p > 0.05). The river upstream is the station that has the highest species richness (39 species). The middle and downstream of the river are the stations where there is the low species richness (35 and 31 species respectively). The spatial distribution of the fish fauna and its diversity are important data to be taken into consideration to establish a sustainable management of the ichthyological fauna of Benin.

 

Keywords | TovĂš river, Inventory, Ichtyofauna, Specific diversity, Spatial distribution, Benin

 

Editor | Muhammad Nauman Zahid, Quality Operations Laboratory, University of Veterinary and Animal Sciences, Lahore, Pakistan.

Received | May 12, 2017 Accepted | August 23, 2017; Published | August 30, 2017

*Correspondence | Gildas Djidohokpin, Research Laboratory on Wetlands (LRZH), Department of Zoology, Faculty of Sciences and Technics, University of Abomey-Calavi (UAC), B.P. 526 Cotonou, Benin; Email: gdjidohokpin@yahoo.fr

Citation | Djidohokpin G, Sossoukpe E, Sohou Z, Tamesse Jl, Fiogbe ED (2017). Ichthyofauna of tovĂš river in the south benin: specific diversity and spatial distribution. S. Asian J. Life Sci. 5(1): 19-29.

DOI | http://dx.doi.org/10.17582/journal.sajls/2017/5.1.19.29

ISSN | 2311–0589

Copyright © 2017 Djidohokpin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

INTRODUCTION

 

The aquatic ecosystems provide various goods and services that are not often valued (Brummett et al., 2008). The knowledge of the aquatic resource is a prerequisite for sustainable management of fisheries. Unfortunately African ichtyofauna remains underexplored (LĂ©vĂȘque and Paugy, 2006).

 

Indeed, in spite of the signing of the Convention on Biological Diversity by the most of countries (LĂ©vĂȘque and Paugy, 2006), many rivers and lakes are still not explored in some countries. Moreover some rivers have not yet been subject to systematic ichtyological inventory and their fish fauna is extrapolated across one part of their watershed. Therefore, in recent years scientists and development managers have started investigations on ichtyofauna of African rivers and lakes (GourĂšne et al., 1999).

 

In Benin, several studies have been conducted in recent years on some rivers and reservoirs (AditĂ©, 1990; Niyonkuru, 2001; Ahouansou Montcho, 2003). Moreover, some studies about bio-ecology aspects of fish were conducted by De Kimpe (1967), AditĂ© and Winemiller (1997), LalĂšyĂȘ et al. (1997), SossoukpĂš et al. (2016). More research on fisheries aspects by Welcomme (1971) and Fisheries Direction of Benin (1987) show that fish species collected are diversified. These studies conducted up to now lack a comprehensive inventory of the fish fauna in Benin freshwaters. The available information on fish fauna of this country rivers or lake is sometimes fragmentary and not up to date. This very rich and diversified fish fauna constitutes an important source of proteins and incomes for the local populations. In Benin country, fish constitutes the most important source of animal proteins for the population and represent 31.9% of the total animal proteins of origin and about 5.5% of the total proteins (FAO, 2004). Fish remains a commodity perfectly integrated as food in Benin (Pliya, 1980). In addition, fish is relatively cheaper and its flesh constitutes an alternative to overcome malnutrition because of the high biological value of its protein and essential amino acids (Pliya, 1980).

 

Therefore there is an urgent need to update comprehensive knowledge of the fishery composition of each aquatic ecosystem in Benin. This approach requires a perfect knowledge since our freshwaters ichtyofauna is still poorly known.

 

Benin, a coastal country, has a diverse watershed (LalĂšyĂȘ, 1996). The most important river owing to its flooded areas surface is the OuĂ©mĂ© River. Its basin is characterized by a variety of habitats including rapids, quiet and a wide floodplain. This ecological diversity gives the river an important ichthyological richness exploited by local populations who use various fishing techniques. This important river basin of Benin communicates with most of the tributaries among which belongs the TovĂš River. This River is located in the lower valley of the OuĂ©mĂ© which is today considered as the second richest valley in the world after the Nil in Egypt. It was chosen as the area of current study considering its importance to the waterside population in terms of fishery and agricultural zones.

 

However, very little information is known on this aquatic ecosystem in general and its fish fauna in particular.

 

This study, the first one to be carried out on TovĂš, River aims to describe the fish population of this river through the specific diversity and spatial distribution.

 

MATERIAL AND METHODS

 

Study Area

The Tovù River is located in the Southern Benin (04°42’47” N, 07°45’2” W). Benin country is located in West Africa at 6° 15’ and 12° 25’ North latitude and 0 ° 45’ and 04 °00’ East longitude. It is bounded at the North by Niger and Burkina Faso, at the East by Nigeria, at the West by Togo and the South by the Atlantic Ocean. Its surface area is estimated at 114 763 km2 (along 700 Km about 125 km wide and 325 km South to North).

 

With an approximately length of 1 km, with an average width of 3 m, the TovÚ River is located in the Ouémé Division, specifically in the Adjohoun Sub Division at about 32 Km from Porto-Novo (Administrative Capital of Benin). The Sub-Division is limited at the South by the Dangbo Sub Division, at the North by the Bonou Sub-Division, at the East by the Sakété Sub-Division and at the West by the Abomey-Calavi and ZÚ Sub-Divisions. This river rises in the swamp of TovÚ at TovÚgbamÚ and flows into the Ouémé River, the largest river of Benin.

 

In order to exhaustively inventory the ichtyofauna of this ecosystem, and study its spatial distribution, the river was divided into three main areas A, B and C respectively upstream, middle stream and downstream (Figure 1).

 

Sampling and Study of the Fish Fauna

Fishes specimens were collected monthly from October 2015 to September 2016. Fishing was undertaken daily and night. During daily fishing sampling, we used artisanal and experimental fishery techniques such as gillnets (mesh size between 10 mm and 100 mm node to node); hoops designed in creels wire mesh; or with local materials, with or without bait, hook in troubled waters with simple and composed lines (longlines); dam nets, enclosure acadjas and bamboo traps. For the night fishing, gear are posed on 5 pm and withdrawn by 7am of the next day. The caught fish were safely preserved in a container and transported to the laboratory where they were identified up to species level and sorted by areas of investigations. Identification was made using morphometric and meristic characters provided by fish identification keys of LĂ©vĂȘque et al. (1990-1992), FAO (1992) and Paugy et al. (2003a, 2003b). Some characters at the species level were described after the dissection of some specimens under a stereo microscope “Olympus SZ40.” Fishes were sorted, measured and weight and the different species are recorded including their counting number. This information was used to assess fish assemblage by using biological parameters such as:

 

(1): Numerical percentage (N): the number of individuals of a species (ni) on the total number of individuals (Nt) in a taxonomic group (species, family or order) multiplied by one hundred:

N = (ni / Nt) × 100

 

(2) Frequency and percentage of occurrence (F): this frequency consists to count the number of times the species i appear in the catches at a given station (Dajoz, 2000). It quantifies the degree of ubiquity of different species and is expressed as percentage of the total number of fishes captured. The occurrence or frequency of catch was calculated in all the data collected for artisanal fisheries and experimental fishing with the following mathematical formula:

 

F = (Fi × 100) / Ft

Fi = number of samples containing species i and Ft = total number of samples.

 

(3) Similarity index of Jaccard (J’): this index enables a qualitative study based on the presence or absence of species in the different samples by comparing the different sectors in pairs (Jaccard, 1908). It is calculated using the following formula:

 

J ‘= ((number of species common to both sectors) / (total number of species in both sectors)) × 100

 

(4) Shannon-Wiener diversity index (H’) and evenness Index of Pielou (E): for a good presentation of information and for a better understanding of fish ichyofauna population of the Tovù River, we studied the spatial evolution of the diversity index of Shannon-Weiner (1948) (H’) and evenness Index of Pielou (E) (Niyonkuru, 2001) in tabular form. The Shannon diversity index showed us how individuals are more or less spread in a group of species. H’ is maximal when all species are also represented in the sample. But the Evenness E showed the regularity of the distribution of species in an ecosystem (Hill, 1973). While H’ expressed how species are organized in the community, E help us to appreciate the quality of the distribution of individuals within species in their environment (Pielou, 1966). These indices were calculated as follows:

 

H’ = - Σ [(Ni / N) × log2 (Ni / N)]

 

Ni: number of individuals of a given species i , i ranging from 1 to S (total number of species), N: total number of individuals; H’ is expressed in bits per individual and is generally range from 1 to 4.5 bits per individual or exceptionally higher in the case of large samples of complex communities.

 

E = H’/ log 2 S

H’ = Shannon index, S = total number of specific or species richness; 0 < E < 1. E tends to 0 when almost entire number is focused on a species and to 1 when all species have the same abundance.

 

Data Analysis

 

The software Statistical Analysis System version 9.1 (SAS v. 9.1) has been used for the statistical analysis. These analysis essentially consisted in analysis of variance. The Shapiro-Wilk test was applied to verify if the data set follow a normal distribution. The average values of the species richness, Shannon diversity index H’ and Evenness E of the 3 study areas were then compared between them with the help of the Kruskal-Wallis test in the doorstep of 5% (probability level). The test is significant for a value of the probability inferior to 0.05 (p < 0.05).

 

RESULTS

 

Fish Specific Diversity of TovĂš River

Qualitative inventory of fish fauna and taxonomic numerical aspect

Table 1 and Figure 3 present the fish species encountered in TovĂš River 8 during this studies. The fish specimens captured belonged to 19 families, 30 genera and 46 species. Cichlidae were the most represented family with 5 genera and 13 species. This family was followed successively by Mormyridae with 7 genera and 7 species, Characidae and Clariidae, represented each by 1 genus and 4 species. Channidae and Claroteidae represented by 1 genus and 2 species. All the others specimens are represented by only 1 species (Figure 2).

 

Quantitative inventory of fish fauna and percentage taxonomic aspect

The most abundant family collected during this survey was Mochokidae (43%) followed by Cichlidae (16%), Shilbeidae (10%), Clariidae (9%), Bagridae 18 (6%) and Anabantidae (4%); %). Thirteen other families represented 12% of the total number of fishes captured (Figure 4). Considering the species level, Synodontis schall was the dominant species representing 41% of the total fish sampled. It as followed by Shilbe intermedius, Tilapia dageti, representing respectively 11%, 8%, Chrysichthys auratus, Ctenopoma petherici and Clarias gariepinus representing 4% of the total number of collected individuals. The others species represented each less than 4% of the total number of caught fishes (Figure 5).

 

Spatial Distribution Along the Upstream-Downstream Gradient of the TovĂš River

Variation of species richness among sampling areas

Figure 6 shows the variation in the fish individuals collected from October 2015 to September 2016 in the sampling areas. The analysis of this figure shows that the variation of the number of fish’s species depends on the sampling areas. In fact, the highest number of fish’s species was recorded at the upstream of the river, 39 species. At the middle of the river, it was collected a total of 35 species where as at the downstream, 31 fish specimens were captured (Figure 6).

 

Distribution and percentage of occurrence of ichtyofauna

‱ Distribution

The fish caught in the TovĂš River have a wide distribution

 

Table 1: List of fish species collected in the TovĂš River from October 2015 to September 2016

 

  Families Species
  Cichlidae

Sarotherodon melanotheron (RĂŒppell, 1852)

Sarotherodon occidentalis (Daget, 1962)*

Sarotherodon tourneiri (Daget, 1954)*

Chromidotilapia guntheri (Sauvage, 1882)

Hemichromis fasciatus (Peters, 1852)

Oreochromis niloticus (Linnaeus, 1758)

Tilapia zillii (Gervais, 1848)

Tilapia dageti (Thys van den Audenaerde, 1971)*

Tilapia louka (Thys van den Audenaerde, 1969)*

Tilapia cessiana (Thys van den Audenaerde, 1968)*

Tilapia joka (Thys van den Audenaerde, 1969)*

Tilapia busumana (GĂŒnther, 1903)*

Tilapia brevimanus (Boulanger, 1911)*

  Hepsetidae

Hepsetusodoe (Bloch, 1794)

  Channidae

Parachanna africana (Steindachner, 1879)

Parachanna obscura (GĂŒnther, 1861)

  Bagridae

Chrysichthys auratus (Geoffrey St

Hilaire, 1808)

Chrysichthys nigrodigitatus (LacepĂšde,1803)

  Clariidae

Clarias agboyiensis (Sydenham, 1980)

Clarias gariepinus (Burchell, 1822)

Clarias macromystax (GĂŒnther, 1864)*

Clarias anguillaris (Linnaeus, 1758)*

  Anabantidae

Ctenopoma petherici (GĂŒnther, 1864)

Ctenopoma kingsleyae (GĂŒnther,1896)

  Schilbeidae

Schilbe intermedius (RĂŒppell, 1832)

  Cyprinidae

Labeo senegalensis (Valenciennes, 1842)

  Characidae / Alestidae

Brycinus Iongipinnis (GĂŒnther, 1864)

Brycinus nurse (RĂŒppell, 1832)

Brycinus macrolepidotus (Valenciennes, 1849)

Hydrocynus brevis (GĂŒnther, 1864)*

  Mormyridae

Hyperopisus bebe (LacépÚde, 1803)

Mormyrops anguilloides (Linné, 1758)

Petrocephalus levequei (Bigorne et Paugy, 1990)*

Mormyrus rume (Valenciennes, 1846)

Pollimyrus isidori (Valenciennes, 1846)

Brienomyrus niger (GĂŒnther, 1866)

Hippopotamyrus paugyi (LĂ©vĂȘque et Bigorne, 1985)*

  Mochokidae

Synodontis schall (Bloch et Schneider, 1801)

  Malapteruridae

Malapterurus electricus (Gmelin,1789)

  Gobiidae

Gobius guineensis (Peters,1876)*

  Elopidae

Elops lacerta (Valenciennes, 1846)

  Ostoglossidae

Heterotis niloticus (Cuvier, 1829)

  Clupeidae

Pellonula leonensis (Boulenger, 1916)

  Protopteridae

Protopterus annectens (Owen, 1839)

  Polypteridae

Erpetoichthys calabaricus (Smith,1866)

  Notopteridae

Xenomystus nigri (GĂŒnther, 1868)

 

Note:*= species never reported in Ouémé River (LalÚyÚet al., 2004)

 

 

in the longitudinal gradient (Table 2 and Figure 7; 8 and 9). Species such as Sarotherodon melanotheron, Chromidotilapia guntheri Hemichromis fasciatus, Tilapia dageti, Hepsetus odoe, Parachanna obscura, Chrysichthys auratus, Clarias agboyiensis, Clarias gariepinus Clarias anguillaris, Ctenopoma petherici, Schilbe intermedius, Labeo senegalensis, Mormyrus rume, Hippopotamyrus paugyi, Xenomystus nigri and Synodontis schall were all present along the river since they were captured at the three sampling areas during this survey. The followed species were collected in two areas of the river:

Sarotherodon tourneiri, Tilapia zillii, Tilapia louka, Tilapia cessiana, Parachanna africana Chrysichthys nigrodigitatus, Brycinus longipinnis, Brycinus nurse, Hyperopisus baby, Mormyrops anguilloides, Petrocephalus levequei, Malapterurus electricus, Gobius guineensis, Elops lacerta, Erpetoichthys calabaricus, Protopterus annecteus and Pellonula leonensis. Lastly, others species such as Sarotherodon occidentalis, Oreochromis niloticus, Tilapia joka, Tilapia busumana, Tilapia brevimanus Clarias macromystax, Heterotis niloticus, Pollimyrus isidori, Briemomyrus niger, Brycinus brevis and Brycinus macrolepidotus were captured only in one of the three sampling areas.

 

Percentage of occurrence

The classification of species according to their percentage of occurrence (Table 3) revealed that8 species were very common species (frequency between 50% and 100%), 4 species were accessory (frequency between 25 and 50 %), and 34 species were accidental (frequency < 25 %).

 

Evolution of species richness

‱ Shannon diversity index H’ and Evenness E

The highest Shannon index (H’= 2.522) was obtained at

 

the downstream of the river whereas the lowest value of the index (H’ = 2.266) was obtained in at the upstream of the river (Table 4). The same report was noted for the evenness (E = 0.413 and E = 0.241 for the downstream and the upstream respectively) (Table 4). Nevertheless, no significant difference was noticed among the sampling areas (P> 0.05) for species richness, Shannon diversity and PiĂ©louevenness (Table 4)

 

Table 2: Distribution of the fish species in the different sampling areas of the TovĂš River

 

Species Upstream Middle stream Downstream
Sarotherodon melanotheron X X X
Sarotherodon occidentalis   X  

Sarotherodon tourneiri

X X X
Chromidotilapia guntheri X X X
Hemichromis fasciatus X X X
Oreochromis niloticus     X
Tilapia zillii X

X

 
Tilapia dageti X X X
Tilapia louka X   X
Tilapia cessiana X X  
Tilapia joka X X

X

Tilapia busumana

Tilapia brevimanus

X

X

   
Hepsetus odoe X X X
Parachanna africana X X X

Parachanna obscura

Brycinus brevis

X

X

X X
Chrysichthys auratus X X X
Chrysichthys nigrodigitatus X X X
Clarias agboyiensis X X X
Clarias gariepinus X X X

Clarias macromystax

Clarias anguillaris

Pollimyrus isidori

Brienomyrus niger

Ctenopoma kingsleyae

 

X

X

X

X

X

X

 

X

 

 

X

Ctenopoma petherici X X X
Schilbe intermedius X X X
Labeo senegalensis X X

X

Brycinus Iongipinnis X X  
Brycinus nurse   X X
Brycinus macrolepidotus   X  
Hyperopisusbebe X X  

Mormyrops anguilloides

Mormyrus rume

Hippopotamyrus paugyi

X

X

X

X

X

X

 

X

X

Petrocephaluslevequei X X  
Synodontis schall X X X
Malapterurus electricus X   X
Gobius guineensis X X X
Elops lacerta X X X

Pellonula leonensis

Heterotis niloticus

Xenomystus nigri

Erpetoichthys calabaricus

Protopterus annectens

X

 

X

X

X

 

X

X

 

 

X

 

X

X

X

 

Note: X= presence

 

 

 

Table 3: Classification of the species of fish captured according to their frequency (%)

 

Very Common Species [50-100 %] AccessorY Species [25-50 %[ Accidental Species < 25 %
Chrysichthys auratus Chromidotilapia guntheri Brienomyerus niger
Clarias agboyensis Chrysichthys nigrodigitatus Brycinus longipinnis
Clarias gariepinus Clarias anguillaris Brycinus macrolepidotus
Hepsetus odoe Hemichromis fasciatus Brycinus nurse
Ctenopoma petherici   Heterotis niloticus
Synodontis schall   Hydrocynus brevis
Shilbe intermedius   Hyperopisus bebe
Tilapia dageti   Hyppopotamyrus paugyi
    Labeo senegalensis
    Malapterurus electricus
    Mormyrops anguilloides
    Mormyrus rune
    Oreochromis niloticus
    Parachanna africana
    Parachanna obscura
    Pellonula leonensis
    Petrocephalus levequei
    Pollimyrus isidori
    Protopterus annectens
    Sarotherodon melanotheron
    Sarotherodon occidentalis
    Sarotherodon tournieri
    Clarias macromystax
    Elops lacerta
    Erpetoichthys calabaricus
    Gobius guineensis
    Tilapia zillii
    Tilapia louka
    Tilapia cessiana
    Tilapia joka
    Tilapia busumana
    Tilapia brevimanus
    Ctenopoma kingsleyae
    Xenomystus nigri

 

Table 4: Shannon diversity index H’ and PielouEvenness E of the fish species based on the numeric values of captured species in the Tovù river

 

Parameters Upstream Middle Downtream Significativity

Species

richness

39 35 31

0.368 NS

Diversity (H') 2.266 2.513 2.522

0.368NS

Evenness (E) 0.241 0.325 0.413

0.368 NS

 

Note: NS= No significant p> 0.05

 

Table 5: Index of similarity between sampling areas

 

Areas Upstream Middle Downtream
Upstream 1    
Middle 58.15 1  
Downtream 57.19 67.28 1

 

 

‱ Index of similarity between sampling areas

 

Jaccard index, calculated between the different sampling areas for the eight months, remains fairly high. This index

varied between 57.17% and 67.28% with an average of 2 60.87% (Table 5). The highest similarities were observed between the Upstream and the middle stream on the one hand and between the Middle and Downstream of the river on the other hand. The lowest similarity was observed between Upstream and Downstream of the river.

 

 

DISCUSSION

 

Inventory of TovĂš River fish fauna showed 46 species 8 of fish in 30 genus and 19 families. These results pointed out the diversity of this fauna at the different sectors of the river during the sampling period. They seem to confirm the statement of Hugueny and LĂ©vĂȘque (1999) who showed that the numbers of fish species may vary according to the habitat in the same river. The high fish specific diversity recorded for TovĂš River, 13 could also be explained by its permanent communication with OuĂ©mĂ© River, where LalĂšyĂš et al. (2004) reported 122 species belonging to 87 genus and 50 families. Indeed, most of the species from this OuĂ©mĂ© River may can migrate into the TovĂš River via its downstream sector. On the other hand, the current study has enabled to identify 14 species never reported in OuĂ©mĂ© River (LalĂšyĂš et al., 2004).

 



 

 

 

These species are: Clarias macromystax, C. anguillaris, Tilapia dageti, T. cessiana, T. busumana, T. louka, T. joka, T. brevimanus, Sarotherodon occidentalis, S. tourneiri, Petrocephalus levequei, Hippotamyrus paugyi, Hydroycinus brevis and Gobius guineensis. These species could be considered less accessible and vulnerable species comparative to the very common species present in the two rivers. The presence of some species in TovĂš River could also be justified by the statement of LalĂšyĂȘ et al. (2004),who mentioned that some of the species absent in the largest streams of the country such as the OuĂ©mĂ© River, could be present in some of the smallest rivers or in some non-prospected particular habitats such as the TovĂš of TovĂš River.

 

 

The ichthyofauna of the TovĂš River is dominated by species belonging to the Cichlidae, Mormyridae, Characidae and Clariidae families. This taxonomic composition reflects the one of the OuĂ©me River (LalĂšyĂȘ et al., 2004). The representativeness of Mormyridae which species constitute indicators of the ecological quality of water (Hugueny et al., 1996) is also a good tool for the assessment of biotic integrity of the river.

 

 

About the spatial distribution, the studied ichthyofauna presents an distribution who is not significantly different between the 3 study areas (p > 0.05). This richness that begins with 39 species upstream decreases in the middle stream (N = 35) and in the downstream sector (N =31). Thus, we noted that in the TovĂš River, species richness is higher where the rivers takes its source and decrease in the middle stream and in the downstream. The upstream is located in the flooding zone where the ecological features would be favourable for an important colonization by fish. The downstream area which communicate with OuĂ©mĂ© River could be considered as the transition zone of the common species to both environments. It is necessary to notice also that few human activities are observed in the upstream areas contrary to the middle sector which is exploited by the population for their daily activities (fishing, laundry, toilet, fluvial landing, bottom sand dredging). These results was in agreement with those of KouamĂ©lan et al. (2003) and Yao et al. (2005) for their studies on the Boubo River and the ComoĂ© River respectively and attributed the irregular distribution of species richness to human activities. The tendency a complex interplay among temperature, water conditions, habitat diversity and accessibility, according to the “River Continuum Concept“ (RCC) could be explained based on a complex interplay between temperature, water conditions, habitat diversity and accessibility, abundance and type of potential food (Vannote et al., 1980).

 

The study of the organization of fish species population in the various areas of the Tovù River using the Shannon diversity index (H’) and Evenness (E) relative high values above the average. This point out a good organization of the population. The character relatively steady of the diversity as observed in this study could have been influenced by the sampling methods that is appropriate to the structure of the river fish stock.

 

CONCLUSIONS

 

This study enables to establish the data about TovĂš River fish fauna and indirectly to update Benin fish fauna. It also reveals that TovĂš River includes a great fish diversity in spite of its small size with an important quantitative and qualitative variability of the captures during the hydrological seasons.

 

ACKNOWLEDGEMENTS

 

The authors thank the European Union through the Intra-ACP program AFIMEGQ “Africa for Innovation, Mobility, Exchange, Globalization and Quality”, thanks to which we have done some of the work at the Laboratory of Zoology, Department of Science at the Higher Teacher Training School of the University of Yaounde I in Cameroon. Also, we grateful all personal of Laboratory of Research on Wetlands, Department of Zoology, University of Abomey-Calavi in Benin.

 

Conflict of Interest

 

The authors declare that they have no competing interest.

 

Authors’ Contribution

 

All authors contributed equally in research and writing of manuscript.

 

REFERENCES

 

  • ‱ AditĂ© A (1990). Etude Ă©cologique et halieutique de quelques anciennes lagunes du Sud-BĂ©nin. Rapport technique n01. PPL-GTZ. Mai 1990. 77 pp.
  • ‱ AditĂ© A, Winemiller KO (1997). Trophic ecology and ecomorphology of fish assemblages in coastal lakes of Benin, West Africa. Ecoscience. 4(1): 6-23. https://doi.org/10.1080/11956860.1997.11682371
  • ‱ Ahouansou S (2003). Etude de l’écologie et de la production halieutique du lac Toho au BĂ©nin. MĂ©moire pour l’obtention du DESS en AmĂ©nagement et Gestion des Ressources Naturelles. 87 pp.
  • ‱ Borcard D (2011). La corrĂ©lation. Bio-2042. DĂ©partement de Sciences Biologiques, UniversitĂ© de MontrĂ©al (Canada). 9 pp.
  • ‱ Brummett RE, Lazard J, Moehl J (2008). African aquaculture: Realizing the potential. Food Policy. 33 (5): 371-385. https://doi.org/10.1016/j.foodpol.2008.01.005
  • ‱ Dajoz R (2000). PrĂ©cis d’écologie. 7Ăšme Edition. Dunod, Paris. 615 pp.
  • ‱ De Kimpe P (1967). Les facteurs de production piscicole des lagunes de l’Est Dahomey et leur Ă©volution rĂ©cente. Revue Bois et ForĂȘts des Tropiques. (3): 53-62.
  • ‱ Direction des pĂȘches (1987). Guide de DĂ©termination des Poissons et CrustacĂ©s des Lagunes et Lacs du bas BĂ©nin. 111 p. Projet PĂȘche lagunaire - GTZ. Cotonou, BĂ©nin. http://www.cotonou-benin.com/maep.html
  • ‱ FAO (1992). Guide de terrain des ressources marines commerciales du Golfe de GuinĂ©e. Rome. 268 p.
  • ‱ FAO (2004). La RĂ©publique du BĂ©nin: DonnĂ©es Ă©conomiques gĂ©nĂ©rales. 5 p.
  • ‱ GourĂšne G, Teugels GG, Hugueny B, Thys Van Den, Thys van den Audenaerde DFE (1999). Évaluation de la diversitĂ© ichtyologique d’un bassin Ouest-africain aprĂšs la construction d’un barrage. Cybium. 23(2): 147-160.
  • ‱ Hill MO (1973). Diversity and evenness: a unifying notation and its consequences. Ecology. (54): 427-432. http://dx.doi.org/10.2307/1934352
  • ‱ Hugueny B, Camara S, Samoura B, Magassouba M (1996). Applying an index of biotic integrity based on fish assemblages in a West African river. Hydrobiologia. (331): 71-78. http://dx.doi.org/10.1007/BF00025409
  • ‱ Hugueny B, LĂ©vĂȘque C (1999). Richesse en espĂšces des peuplements des poissons. In: Les Poissons des Eaux continentales africaines (LĂ©vĂȘque C. and D. Paugy, eds), Pp. 237-249. Paris : IRD.
  • ‱ Jaccard P (1908). Nouvelles recherches sur la distribution florale. Bulletin de la SociĂ©tĂ©. Vaudoise des Sciences Naturelles. (44): 223-270.
  • ‱ KouamĂ©lan EP, Teugels GG, Douba VN, GoorĂ© Bi G, KonĂ© T (2003). Fish diversity and its relationships with environmental variable in a West African basin. Hydrobiologia. 505: 139-146. http://dx.doi.org/10.1023/B:HYDR.0000007302.74296.84
  • ‱ LalĂšyĂš P (1996). Rapport de mission d’un programme d’amĂ©nagement des zones humides du Sud-BĂ©nin. PĂȘche/BiodiversitĂ© des communautĂ©s de poissons. 35 pp et annexe.
  • ‱ LalĂšyĂš P, Chikou A, Wuemenou T (1997). Poissons d’eaux douces et saumĂątres du BĂ©nin: Inventaire, distribution, statut et conservation. Inventaire des poissons menacĂ©s de disparition du BĂ©nin. 80 p. Rapport d’étude. Coop. bĂ©nino-nĂ©erlandaise/ Ambassade Royale des Pays-Bas, Cotonou (BĂ©nin).
  • ‱ LalĂšyĂš P, Chikou A, Philippart JC, Teugels GG, Vanderwalle P (2004). Etude de la diversitĂ© ichtyologique du bassin du fleuve OuĂ©mĂ© au Benin (Afrique de l’Ouest). Cybium 28 (4): 329- 339.
  • ‱ LĂ©vĂȘque C, Paugy D (2006). Distribution gĂ©ographique et affinitĂ©s des poissons d’eau douce africains pp. 59-74, in: LĂ©vĂȘque C. et D. Paugy (Ă©diteurs), Les poissons des eaux continentales. DiversitĂ©, Ă©cologie, utilisation par l’Homme, Editions IRD, Paris. 521 pp.
  • ‱ LĂ©vĂȘque C, Paugy D, Teugels GG (1990). Faune des poissons d’eaux douces et saumĂątres de l’Afrique de l’Ouest. Tome I. Faune tropicale, XXVIII, MRAC-Tervuren / ORSTOM-Paris.
  • ‱ LĂ©vĂȘque C, Paugy D, Teugels GG (1991). Annotated check-list of the freshwater fishes of the Nilo-Sudan river basins, in Africa.Revue d’Hydrobiologie Tropicale. (24): 131-154.
  • ‱ LĂ©vĂȘque C, Paugy D, Teugels GG (1992). Faune des poissons d’eaux douces et saumĂątres de l’Afrique de l’Ouest. Tome II. Faune tropicale, XXVIII, MRAC-Tervuren / ORSTOM-Paris.
  • ‱ Niyonkuru C (2001). Les variations spatio-temporelles de la faune ichtyologique du lac NokouĂ© en RĂ©publique du BĂ©nin. MĂ©moire pour l’obtention du DESS en AmĂ©nagement et Gestion des ressources naturelles. 127 pp + Annexes.
  • ‱ Paugy D, LĂ©vĂȘque C, Teugels GG (eds) (2003a). Poissons d’Eaux saumĂątres de l’Afrique de l’Ouest. Tome 1. 457 pp. Edit. IRD.
  • ‱ Paugy D, LĂ©vĂȘque C, Teugels GG (2003b). Faune des poissons d’eaux douces et saumĂątres de l’Afrique de l’Ouest. Tome 2. IRD Éditions, MNHN, Paris, France & MRAC, Tervuren, Belgique. 815 pp.
  • ‱ Pielou EC (1966). The measurement of diversity in different types of biological collections. J. Theoret. Biol. (13), 131-144. http://dx.doi.org/10.1016/0022-5193(66)90013-0
  • ‱ Pliya J (1980). La pĂȘche dans le Sud-Ouest du BĂ©nin. Etude de gĂ©ographie appliquĂ©e sur la pĂȘche continentale et maritime. Ed. Agence de CoopĂ©ration Culturelle et Technique (ACCT). 296 p.
  • ‱ Shannon CE(1948). A Mathematical Theory of Communications. Bell Syst. Technol. J. (27): 379-423.
  • ‱ SossoukpĂš E, Djidohokpin G, FiogbĂ© ED (2016). Demographic parameters and exploitation rate of Sardinella maderensis (Pisces: Lowe 1838) in the near shore waters of Benin (West Africa) and their implication for management and conservation. Int. J. Fish. Aquat. Studies. 4(1): 165-171.
  • ‱ Vannote RL, Minshall GW, Cummins KW, Sedel JR, Cushing CE (1980). The river continuum concept. Canadian J. Fish. Aquat. Sci. 37 (1): 130–137. http://dx.doi.org/10.1139/f80-017
  • ‱ Welcomme RL (1971). Évaluation de la PĂȘche intĂ©rieure, son État actuel et ses PossibilitĂ©s. 95 pp. Rome: FAO AT 2938.
  • ‱ Yao SS, KouamĂ©lan EP, KonĂ© T, N’Douba V, GoorĂ© Bi G, Ollevier F, Thys Van Den Audenaerde DFE (2005). Fish communities along environmental gradients within the ComoĂ© River basin, CĂŽte d’Ivoire. African J. Aquat. Sci. 30 (2), 195-204. http://dx.doi.org/10.2989/16085910509503855
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