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Journal of Fisheries & Livestock Production
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Fish Assemblage Patterns: Temporal Distribution Structure and Influence of Environmental Variables in the Karnafully River Estuary, Bangladesh

Md. Rashed-Un-Nabi1, Shamsuzzaman M2, Hasan A2 and Barman PP2*

1Institute of Marine Sciences and Fisheries, University of Chittagong, Chittagong-4331, Bangladesh

2Department of Coastal and Marine Fisheries Faculty of Fisheries Sylhet Agricultural University, Bangladesh

*Corresponding Author:
Barman PP
Department of Coastal and Marine Fisheries
Faculty of Fisheries, Sylhet Agricultural University
Sylhet-3100, Bangladesh
Tel: +8801722967408
E-mail: [email protected]

Received Date: November 12, 2015; Accepted Date: March 11, 2016; Published Date: March 27, 2016

Citation: Rashed-Un-Nabi M, Shamsuzzaman M, Hasan A, Barman PP (2016) Fish Assemblage Patterns: Temporal Distribution Structure and Influence of Environmental Variables in the Karnafully River Estuary, Bangladesh. J Fisheries Livest Prod 4:174. doi: 10.4172/2332-2608.1000174

Copyright: © 2016 Rashed-Un-Nabi M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

This research aims at studying the temporal distribution of fish assemblage in the Karnafully river estuary, Bangladesh. To study the fish assemblage catch from Estuarine Set Bag Net (Behundijal) as well water samples were collected in four seasons (winter, pre-monsoon, monsoon and post-monsoon) from March 2013 to February 2014. Multivariate analyses were performed using the software PRIMER V6 and Canonical Correspondence Analysis (CCA) was done using the PAST software. In the present study, 41 species of fish were identified where, Harpodon nehereus (20.54%) was found to be most dominant species. The Shannon-Wiener diversity index (2.67 ± 0.05), Margalef richness index (5.14 ± 0.64), Pielou’s evenness index (0.96 ± 0.007) was high, while Simpson dominance index (0.95 ± 0.002) was low in the monsoon season, which indicates monsoon had high fish diversity than the other seasons. At the similarity of 50.5%, three groups were attained while, monsoon-2 showed separate clustering from other groups. The Non-metric Multidimensional Scaling (nMDS) showed 20% similarity in all seasons based on Bray-Curtis similarity matrix. The CCA ordination indicated that salinity and DO were the two most important environmental parameters shaping the fish assemblage structure in the Karnafully river estuary.

Keywords

Karnafully river estuary, Fish assemblage, ANOSIM, SIMPER, CCA

Introduction

Estuaries are the meeting place of freshwater and saltwater and a dynamic environment [1]. It is not only providing important economic functions in transportation, industry and tourism but also helps to drainage of domestic and industrial waste [2]. It is dominated by marine species but offer resident for both freshwater and marine species [3]. High levels of productivity in estuary are often related to environmental variables like salinity, water depth, temperature, turbidity and DO [4,5]. Estuary provides nursing, feeding and spawning grounds for numerous fish species [6,7]. These fish assemblages change continually in time and space [8]. The Karnafully estuary plays an important role in term of both economic and ecological function for Bangladesh. It is one of the most important estuary provides spawning, nursing, feeding ground for numerous fish species and active fishing done here. However, some sprinkled researches on different biological aspects of the Karnafully estuarine system. The current study was designed to fulfill the gap of those previous studies. Hence, the present study was undertaken to investigate the effect of physico-chemical parameters of water on seasonal variation of fish assemblage in the Karnafully river estuary.

Materials and Methods

The Karnafully River is the principal river originated from the Lushai Hills of Mizoram (India), flows through Chittagong city and finally discharges into the Bay of Bengal. The geographical location of the study area is latitude "2116′32′′ N to longitude 91°50′48′′ E" known as 11 no. ghat (Figure 1). Fish samples were collected by using set bag net (Figure 2), locally called Behundi jal from March 2013 to February 2014 in four season proposed by Mahmood, et al. [9] were winter (December- February), Pre-monsoon (March-May), Monsoon (June- September) and Post-monsoon (October-November). Sampling was done during the full moon and new moon, because in this time fish abundance is higher mentioned by the local fishermen. Around 1 kg of unsorted fish was directly collected from ESBN catch and identified up to species level proposed by Howlader [10] and Fish base (2013) [11]. Environmental parameters were recorded by using centigrade thermometer for water temperature, Refractometer (NewS-100, TANAKA, Japan) for salinity, DO meter (HI 9142, HANNA Instruments) for DO and pen pH meter (s327535, HANNA Instruments) for alkalinity. Water transparency measured by using a 20 cm diameter secchi disc.

fisheries-livestock-production-Karnafully

Figure 1: Location of the study area (Karnafully river estuary).

fisheries-livestock-production-Estuarine

Figure 2: Sampling gear Estuarine Set Bag Net (ESBN) used for sample collection.

Diversity of the species assemblage was analyzed by the Shannon- Wiener index (H′), species richness by Margalef index (d), evenness by Pielou’s index (J′), and dominance was measured by Simpson index (c). A one- way analysis of variance (ANOVA) was used to test for significant difference in environmental variables, different diversity index and fish abundance among seasons. Prior to ANOVA test, all variables were tested for normality and homogeneity using “Kolmogrouv Smirnov test” and “Levene’s test” [12]. One-way analysis of Similarity (ANOSIM) was used to conclude the significance of temporal variation in the structure of fish assemblage. The test based on a Bray-Curtis similarity matrix and were calculated using log(X+1) transformed data. Similarity percentages analyses (SIMPER) were used to observe the percentage contribution of each taxon to the average dissimilarity between the various season combinations. Non-metric multidimensional scaling (nMDS) was performed to investigate similarities among fish abundance. For descriptive statistics and ANOVA test SPSS software V11.5 was used. All the multivariate analysis were performed using the software PRIMER V6 (Plymouth Routines Multivariate Ecological Research). Canonical correspondence analysis (CCA) was used to investigate the relationship between species assemblage composition and environmental variables using PAST2.16 software.

Results and Discussion

Environmental variables of the area

Environmental variables observed and recorded during this study are summarized in Table 1 and illustrated in Figure 3. Water temperature varied from 25.33 ± 0.57°C (winter) to 30.00 ± 0.58°C (pre-monsoon), salinity from 13.33 ± 1.52 ppt (Monsoon) to 20.33 ± 0.57 ppt (pre-monsoon), water transparency was 18.93 ± 1.11 cm (Monsoon) to 22.44 ± 0.72 cm (Post-monsoon), DO was 5.21 ± 0.01 mg/L (monsoon) to 6.13 ± 0.02 mg/L (winter) and water pH was 5.33 ± 0.57 (winter) to 6.33 ± 0.28 (pre-monsoon). During pre-monsoon air temperature remain higher than other season which may leads high water temperature and high evaporation rate, that’s why water salinity was high in pre-monsoon. On the other hand, due to heavy rainfall and mixing of runoff water, transparency was very low in monsoon compared with other season and caused lowers the DO level. Similar trends were also recorded for Kaptai lake [13] and Maheshara Lake in Gorakhpur [14] which are more or less similar with present study.

Season Temp (°C) Salinity (ppt) Transparency (cm) DO (mg/L) pH
Winter 25.33 ± 0.57 19.33 ± 0.54 22.01 ± 0.73 6.13 ± 0.02 5.33 ± 0.57
Pre-monsoon 30.00 ± 0.58 20.33 ± 0.57 22.41 ± 0.73 5.22 ± 0.01 6.33 ± 0.28
Monsoon 29.33 ± 1.01 13.33 ± 1.52 18.93 ± 1.11 5.21 ± 0.01 6.16 ± 0.28
Post-monsoon 27.33 ± 0.57 19.67 ± 0.57 22.44 ± 0.72 5.93 ± 0.32 4.83 ± 0.29

Table 1: Mean value of environmental variables in different seasons in the Karnafully river estuary.

fisheries-livestock-production-seasons

Figure 3: Environmental variables indifferent seasons in the Karnafully river estuary.

Species abundance

From the Karnafully River estuary a total of 1193 individual of fin fishes were collected during the study (Table 2) which represent 41 species. The most dominant taxa were found H. nehereus (20.54%). The total abundance of species in each season ranged between 17 (postmonsoon) to 31 (monsoon). A total of 46 and 45 finfish species recorded in Karnafully [15] and Bakkhali river estuary [16] respectively, which coincide the present result.

Serial no. Species Name Total % Contribution % Contribution in different season
Winter Pre Monsoon Mon soon Post Monsoon
1 Harpodonnehereus (Hamilton-Buchannan, 1822) 245 20.54 16.32 1.667 30.031 10.8
2 Pannamicrodon (Bleeker, 1849) 208 17.44 8.163 18.333 18.711 17.6
3 Coiliaramcarati (Hamilton-Buchanan, 1822) 172 14.42 8.163 22.222 14.937 10
4 Johnius macropterus (Bleeker, 1853) 130 10.9 27.891 9.444 3.774 19.2
5 Eleutheronema tetradactylum (Shaw, 1804) 77 6.45 0.68 1.111 11.478 0.4
6 Coilia dussumieri (Valenciennes, 1848) 52 4.36 10.204 1.111 2.358 8
7 Cynoglossus lingua (Hamilton-Buchanan, 1822) 52 4.36 9.524 5 0.943 9.2
8 Odontamblyopus rubicundus (Hamilton, 1822) 51 4.28 2.041 3.889 6.447 0
9 Mystusgulio (Hamilton and Buchanna, 1822) 41 3.44 0.68 15 0.157 4.8
10 Setipinnataty (Valenciennes, 1848) 24 2.01 0.68 7.778 0.629 2
11 Trypauchen vagina (Bloch & Schneider) 19 1.593 2.721 0.556 0.943 3.2
12 Gudusia chapra (Hamilton, 1822) 18 1.509 0 0.556 0.629 5.2
13 Polynemus indicus (Shaw, 1804) 15 1.257 2.041 0 0.629 3.2
14 Alentrogobius sp. 9 0.754 0 2.222 0 2
15 Cynoglossus macrolepidotus (Bleeker, 1851) 9 0.754 4.762 1.111 3.145 0
16 Paraplagusia bilineata (Bloch, 1784) 8 0.671 1.361 0.556 0 2
17 Stolephorus tri (Bleeker, 1852) 7 0.587 0.68 0 0.943 0
18 Tennualosatoli (Valenciennes, 1847) 7 0.587 0 0.556 0.629 0.8
19 Gymnothoraxpunctatus (Bloch &Schnieder, 1801) 5 0.419 0 1.111 0.157 0.8
20 Phisodonophis boro (Hamilton, 1822) 5 0.419 0 1.667 0.314 0
21 Arius arius (Hamilton, 1822) 4 0.335 0.68 0 0.157 0.8
22 Polynemus indicus (Shaw, 1804) 4 0.335 0.68 1.667 0 0
23 Apocryptes lanceolatus (Day, 1875-78) 3 0.251 0 0 0.472 0
24 Congresox talabonoides (Bleeker, 1853) 3 0.251 1.361 0 0.157 0
25 Corvina dussumieri (Sasaki, 1999) 3 0.251 0 0 0.472 0
26 Rita rita (Hamilton, 1822) 3 0.251 0 0 0.472 0
27 Johnius belangerii (Cuvier, 1830) 2 0.168 0.68 0 0.157 0
28 Lutjanus russelli (Bleeker, 1849) 2 0.168 0.68 0.556 0 0
29 Sillagodomina (Cuvier: Day, 1876) 2 0.168 0 0 0.314 0
30 Terapon jarbua (Forsskal, 1775) 2 0.168 0 1.111 0 0
31 Boleopthalmus viridis (Cuvier & Valenciennes, 1851) 1 0.084 0 0 0.157 0
32 Dussumieria acuta (Valenciennes, 1847) 1 0.084 0 0 0.157 0
33 Lepturacanthus savala (Cuvier, 1829) 1 0.084 0 0 0.157 0
34 Monopterus cuchia (Hamilton, 1822) 1 0.084 0 0 0.157 0
35 Pampus chinensis (Euphrasn, 1788) 1 0.084 0 0 0.157 0
36 Platycephalus indicus (Linnaeus, 1758) 1 0.084 0 0 0.157 0
37 Pseudapocryptes lanceolatus (Bloch-Schneider, 1801) 1 0.084 0 0.556 0 0
38 Cynoglossus deltae (Jenkins, 1910) 1 0.084 0 0.556 0 0
39 Gobiodesrudicundus (Hamilton-Buchanan, 1822) 1 0.084 0 0.556 0 0
40 Glossogobius giuris (Hamilton-Buchanan, 1822) 1 0.084 0 0.556 0 0
41 Acentrogobius cyanomos (Bleeker, 1849) 1 0.084 0 0.556 0 0
Total number of taxa 41   20 26 31 17
Total number of individual 1193   147 180 636 250
Shannon ± SD 2.41 ± 0.10 2.64 ± 0.11 2.67 ± 0.05 2.54 ± 0.07
Margalefindex ± SD 4.14 ± 0.56 4.88 ± 0.33 5.14 ± 0.64 4.12 ± 0.30
Pielou ± SD 0.95 ± 0.009 0.93 ± 0.008 0.96 ± 0.007 0.95 ± 0.010
Simpson ± SD 0.97 ± 0.012 0.96 ± 0.008 0.95 ± 0.002 0.96 ± 0.005

Table 2: Fish species recorded in the Karnafully river estuary in different seasons showing relative abundance.

Species diversity

Different species diversity index was calculated to observe the fish diversity in the Karnafully river estuary (Figure 4). The Shannon- Wiener diversity index (H') ranged from 2.41 ± 0.10 (winter) to 2.67 ± 0.05 (monsoon), Margalef richness index was 5.14 ± 0.64 (monsoon) to 4.12 ± 0.30 (post-monsoon), Pielou’s evenness was 0.96 ± 0.007 (monsoon) to 0.93 ± 0.008 (pre-monsoon), Simpson dominance was 0.97 ± 0.012 (winter) to 0.95 ± 0.002 (monsoon). Significant difference observed for Shannon-Wiener diversity (p = 0.02) and Pielou’s evenness index (p = 0.009) whereas no significant difference observed for Margalef richness (p = 0.07) and Simpson dominance index (p = 0.12) among the seasons. Monsoon season shows high diversity value, richness and evenness value, but low richness value compared with other seasons which indicates monsoon season had high species diversity than others. However, monsoon is the breeding season for many fish species, so that in this time greater assemblage of fish species observed in estuary, that’s why monsoon season was more diversify [16].

fisheries-livestock-production-species

Figure 4: Temporal variation of species diversity index of Karnafully river estuary.

Species assemblage

Significant difference were found among seasons (Table 3) represent by analysis of similarity (ANOSIM) where global R was observed 0.796 and p = 0.01. SIMPER analysis showed the average similarity of species in winter was 66.70%, pre-monsoon was 66.47%,monsoon was 64.16%, post monsoon was 78.36% and most contributing species was J. macropterus (22.73%), P. microdon (17.04%), P. microdon (18.97%) and J. macropterus (14.44%) respectively (Table 4). Nonmetric Multidimensional Scaling (nMDS) analysis was performed to investigate similarities among fish abundance. Three marked separation observed in the abundance of fish in different seasons (Figure 5). Through cluster analysis, at 50.5% similarity three groups were attained while, monsoon-2 showed separate clustering from other groups. nMDS shows 20% similarity for all seasons. Only postmonsoon-1 and postmonsoon-3 season shows 80% similarity together shown in Figure 5.

ANOSIM Average dissimilarity (%) SIMPER
R=0.796, p=0.1% Groups R p Most contributing species %Contribution
Winter, Pre-monsoon 1 0.1 52.1 Eleutheronema tetradactylum 11.57
Winter, Monsoon 0.815 0.1 53.94 Mystes gulio 10.48
zWinter, Post-monsoon 0.704 0.1 38.53 Guducia chapra 10.31
Pre-monsoon, Monsoon 0.926 0.1 56.45 Harpodon nehereus 11.75
Pre-monsoon, Post-monsoon 1 0.1 45.65 Eleutheronema tetradactylum 11.56
Monsoon, Post-monsoon 0.704 0.1 43.99 Harpodon nehereus 8.8

Table 3: Result of ANOSIM & SIMPER analysis of fish abundances between diferent seasons.

Average similarity
Winter (66.70%)     Pre-monsoon (66.47%)
Contributing Species % Contributing Species %
Johnius macropterus 22.73 Panna microdon 17.04
Harpodon nehereus 17.57 Harpodon nehereus 16.87
Cyanoglossus lingua 14.42 Coiliaram korati 14.63
Coiliadus sumieri 11.92 Eleutheronema 13.17
Coiliaram korati 8.93 Odontamblypous rubicanduy 12.05
Cyanoglossus cyanoglossus 6.21 Johnius macropterus 9.58
Polynemus paradiseus 6.21 Trypauchen vagina 4.08
Panna microdon 5.76 Coilia lingua/ dussumieri 3.18
Monsoon (64.16%)     Post-monsoon (78.36%)
Contributing Species % Contributing Species %
Pannamicrodon 18.97 Johnius macropterus 14.44
Mystesgulio 17.45 Pannamicrodon 13.9
Coiliaramkorati 12.9 Harpodonnehereus 11.01
Setipinnaphasa 10.37 Coiliaramkorati 10.63
Odontamblypous rubicanduy 8.59 Coiliadussumieri 9.57
Cyanoglossus lingua 7.14 Cyanoglossus lingua 9.18
Phisodonophisboro 5.42 Mystesgulio 7.92
Johnius macropterus 5.16 Guducia chapra 6.89
Alentrogobiussp 1.78 Trypauchen vagina 4.48
Coiliadussumieri 1.78 Alentrogobiussp 3.76

Table 4: Average similarity of contributing species in each season using SIMPER analysis.

fisheries-livestock-production-Dendrogram

Figure 5: Dendrogram showing cluster and MDS analysis based on Bray-Curtis similarity matrix catch composition in 2D ordination.

Canonical correspondence analysis (CCA)

CCA provided insight into the relationship between the fish assemblage and environmental variables. Results obtained from CCA were plotted in Figure 6. Species plotted closer to the vector had stronger relationship with them. The CCA ordination indicates salinity and DO are two most important environmental parameters shaping species assemblage structure in the Karnafully River estuary than the other variables. Salinity is strongly allied with distribution of estuarine fish communities as reported in Bakkhali river estuary which are homologues with the present findings [16]. As shown in CCA ordination S1= H.nehereus, S2= P.microdon, S3 = C.ramkorati, S4= J. macropterus, S5 = E.tetradactylum, S6 = C.dussumieri, S7 = C. lingua, S8 = O.rubicanduy, S9 = M.gulio, S10 = S.phasa, S11 = T. vagina, S12 = G.chapra, S13 = P.paradiseus.

fisheries-livestock-production-abundance

Figure 6: The CCA ordination of species abundance and environmental parameters.

Conclusion

The seasonality of the environmental conditions co-occurred with the major variations of the fish assemblage. Seasonal variations occurred not only in total abundance and diversity, but also on the structure of the species assemblage of the Karnafully river estuary. H. nehereus was found as most dominant fish in the Karnafully River contributing 20.540% in total species composition, while other species showed equal distribution throughout the seasons. Salinity and DO were two most important variables shaping the species assemblage in the Karnafully river estuary. Species diversity was low, that may probably because of the Karnafully river estuary is highly polluted by industrial pollution and high discharge of polluted material from oil tanker, fertilizer factory, Chittagong City Corporation which is degrading the ecological condition of the Karnafully river estuary water.

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