Volume: 02, Issue: 02, Page: 22-29

ISSN: 3079-5826

Seasonal variation of aquatic flora and faunal diversity and physicochemical characteristics of Bhairab River water, Jashore, Bangladesh

1 Department of Fisheries and Marine Bioscience, Jashore University of Science and Technology, Jashore 7408, Bangladesh

2 Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh

*Corresponding authors

Email address: shorif.just@gmail.com (Sk. Shorif Uddin)

doi: https://doi.org/10.69517/jars.2025.02.02.0004

ISSN: 3079-5826

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Received:
15 February 2025

Revised:
26 March 2025

Accepted:
28 April 2025

Published:
06 May 2025

Highlights

  • Analyzed seasonal changes in Bhairab River’s biodiversity and water quality status.
  • Used GIS, statistics, and physicochemical data to assess seasonal environmental shifts.
  • Found Cypriniformes, Alismatales dominant; human activities reduced water quality.
  • Revealed biodiversity decline, stressing need for sustainable ecosystem management.
  • Provided data to support global water and biodiversity sustainability strategies.

Abstract

Rivers play a vital role in sustaining biodiversity, livelihoods, and ecological balance across regions. This study examined the aquatic and terrestrial flora and fauna, along with physicochemical water quality parameters of the Bhairab River in the Jashore area during the wet (July–September 2023) and dry (January–March 2024) seasons. Cypriniformes were the most dominant fauna, comprising 45% and 28% of species in the wet and dry seasons, respectively, while Alismatales were the most prevalent flora, accounting for 42% and 57% across the same periods. Mean values of temperature, pH, turbidity, alkalinity, dissolved oxygen (DO), and biochemical oxygen demand (BOD) showed seasonal variations, with the highest values recorded as 31.8 °C (July), 7.68 (February), 785 NTU (July), 145 mg/L (March), 6.5 mg/L (July), and 1.95 mg/L (January), and the lowest values as 22.5 °C (January), 7.16 (July), 486 NTU (January), 115 mg/L (August), 4.5 mg/L (March), and 1.39 mg/L (July). The study identified industrial discharge, human encroachment, agricultural pesticide use, urbanization, and domestic activities as major contributors to the degradation of water quality, leading to a decline in fish availability and aquatic biodiversity. The findings highlight the urgent need for sustainable river management strategies to protect aquatic biodiversity and improve water quality in the Bhairab River.

Graphical abstract

Keywords

Dissolved oxygen, Biochemical oxygen demand, Seasonal hydrology, Aquatic biodiversity, Environmental stressors

1. Introduction

Water is an invaluable resource across multiple economic sectors, playing a vital role in electricity generation, aquaculture, agriculture, and overall growth, all while being essential for sustaining life (Andrabi et al., 2024). Water covers around 70% of the Earth's surface, yet only a small portion—about 2 to 3%—is freshwater. Surface water sources like rivers, lakes, and streams are highly susceptible to contamination, which can compromise drinking water quality, spread disease, and disrupt ecosystems. Polluted water also poses risks to agriculture and industry, and can make recreational activities such as swimming and boating unsafe (Hammoumi et al., 2024; Mishra, 2023; Baggio et al., 2021).
Rivers are recognized as a crucial water source due to their immense significance throughout history, with most civilizations developing along them (Hasan et al., 2020). Bangladesh is a land of river having more than 700 rivers with their tributaries (Anzum et al., 2023; Singh and Craswell, 2021). The Bhairab River originates from the Ganges River, flowing into the Meherpur district in Bangladesh and crossing through the Jashore district (Islam et al., 2017). It is a waterbody spanning 24,140 km, primarily surrounded by the Brahmaputra and Meghna basins, along with the Jamuna River and its tributaries (Hamilton et al., 2022). This topography, combined with tidal influences and monsoon rainfall, ensures that the downstream flow of the Bhairab River remains active year-round.
Additionally, the river's biodiversity is significantly influenced by water inflow from the Ganges, particularly during the dry season (Anzum et al., 2023). In hydrobiology, it is essential to understand the biotic and abiotic factors that influence fish assemblages, including water’s physicochemical properties, flow dynamics, temperature variations, pollution, habitat degradation, and overexploitation. These factors shape the diversity of aquatic fauna—particularly fish—and their effective management is crucial for assessing both biotic communities and overall water quality (Andrabi et al., 2024; Dubey et al., 2019; Rocha et al., 2015).
The Bhairab River supports a rich biodiversity that is crucial to the livelihoods of the local population, with 29 fish species and 19 aquatic plant species recorded; however, some of these fish species have already been classified as critically endangered. On the contrary, some aquatic plants have rarely appeared near the bank (Islam et al., 2017).
The Bhairab River is facing a decline in aquatic biodiversity and water quality due to human activities. Few studies have explored the seasonal variations in fish, plant species, and water quality parameters, making long-term ecological assessments challenging. This study investigates these seasonal variations, focusing on water quality and biodiversity, while examining the impact of human activities. It hypothesizes that seasonal changes significantly affect aquatic biodiversity and water quality, with important implications for conservation and sustainable management.
The ecosystems and biodiversity of the Bhairab River are likely to be altered due to the various uses of its water (Anzum et al., 2023). Both groundwater and surface water possess unique chemical and physical properties essential for human life. Water quality is assessed through a combination of chemical, biological, and physical elements. Contaminated surface waters cannot sustain a healthy ecological community. An ecosystem maintains equilibrium when there is a balanced relationship between the environment and its inhabitants. Water quality is crucial in sustaining a healthy environment, making regular monitoring essential (Dubey et al., 2019; Rocha et al., 2015). Numerous hydrochemical models and water quality index techniques are available to assess water quality indicators, which are numerical values used to evaluate the condition of water sources, including both utility and drinking water (Ghalib et al., 2019; Lancaster, 2019; Dong et al., 2015).
The primary objectives of this study are to assess the seasonal variation in aquatic flora and fauna in the Bhairab River and to analyze water quality parameters during the wet and dry seasons. The findings of this study aim to inform policy development for sustainable river management by providing essential data to support conservation efforts for aquatic biodiversity. Furthermore, the study is intended to serve as a foundational reference for future research on the ecological health of rivers in Bangladesh, contributing to the development of effective strategies for pollution control and habitat restoration.


2. Materials and Methods

2.1 Ethical approval statement

No ethical approval was required for this study.

2.2 Study area and periods

The study was conducted in the Bhairab River, located in Jashore, Bangladesh (Figure 1). Jashore, a major industrial and commercial hub in South-Western Bangladesh, is situated at coordinates 23.1641° N, 89.2065° E (Sardar et al., 2017).

fig1 2 Figure 1. Study area and sampling stations of Bhairab River.
2.3 Sample collection and preparation

The study was carried out at the Bhairab River during the wet season (July, August, and September 2023) and the dry season (January, February, and March 2024) across three different sampling locations. A 500-milliliter water sample was collected from each selected spot to analyze its physiological characteristics. While some parameters were measured directly at the sites, others were transported to the laboratory in an ice box covered with black polythene, ensuring the samples were processed within three hours. Fish samples, which were naturally harvested from the river, varied based on the availability of commercial fish and the specific fishing season. The fish were wrapped in aluminum foil, placed in an icebox, and transported to the Fisheries and Marine Bioscience (FMB) Laboratory at Jashore University of Science and Technology (Jashore-7408, Bangladesh). In the FMB lab, each sample was cleaned with distilled water to remove any external contaminants and then frozen at -20 °C for further analysis (Ghosh et al., 2021).


2.4 Analytical methods for physicochemical parameters

Water samples were analyzed for physicochemical parameters including pH, turbidity, temperature, alkalinity, dissolved oxygen (DO), and biological oxygen demand (BOD). The pH was measured using a pH meter (Model: MARTINI Instruments, pH 56 pHWP, USA), calibrated with standard buffer solutions of pH 4.0, 7.0, and 10.0. Calibration was confirmed by measuring three sample readings. DO, BOD, and were determined using Winkler's and reflux titration methods, as described by Sardar et al. (2017). Turbidity was measured following USEPA Method 180.1 with a nephelometric turbidimeter (LaMotte 2020we, USA), using a tungsten lamp and a 90° detection angle, calibrated with formazin standards. Alkalinity was assessed using the titration method outlined in the Standard Methods for the Examination of Water and Wastewater (APHA, 2017) to determine concentrations of bicarbonate, carbonate, and hydroxide.


2.5 Statistical analysis

Statistical analyses of fish length, weight, and other attributes were conducted using Microsoft Excel 2016. Descriptive statistics, correlation analysis, and other appropriate statistical tests were performed to interpret the data. The study region map was created using ArcGIS 10.8 software. Figures to visualize spatial and statistical patterns were generated using both Microsoft Excel 2016 and ArcGIS 10.8.


3. Results

3.1 Seasonal variation of fish species at Bhairab River in the wet season

The results reveal a diverse fish community with species from various families, including Cyprinidae, Siluridae, Channidae, Cichlidae, and Percidae. Cypriniformes, particularly major and minor carps like Labeo rohita (Rui), Catla catla (Catla), and Cirrhinus cirrhosus (Mrigal), were the most dominant, thriving in flowing water conditions and being commercially valuable. Siluriformes, including Mystus vittatus (Tengra), Ompok pabda (Pabda), and Wallago attu (Boal), were also present, indicating a favorable environment for catfish. Snakeheads such as Channa punctatus (Taki) and Channa striata (Shol), known for their adaptability, were well-represented, alongside Oreochromis niloticus (Nile tilapia) and Oreochromis mozambicus (Mozambique tilapia) from the Cichlidae family. The presence of Mastacembelus pancalus (Guchibaim) and Macrognathus aculeatus (Tara baim) from the Synbranchiformes order suggests a habitat that supports eel-like species (Table 1).


3.1.1 Percentage of fish species based on their families in wet season

Cypriniformes emerged as the most dominant order, representing 45% of the total species, followed by Siluriformes (21%), Perciformes (14%), Synbranchiformes (7%), Cichliformes (7%), Gobiiformes (3%), and Anabantiformes (3%). The dominance of Cypriniformes, including species such as Labeo rohita (Rui), Catla catla (Catla), and Cirrhinus cirrhosus (Mrigal), reflects favorable wet-season conditions like increased water flow and food availability. The presence of species from various orders underscores the river's rich biodiversity, which significantly declines during the dry season (Figure 2).


Table 1. Available fish species at Bhairab River in the wet season.


fig2 2 Figure 2. Percentage of fish species based on their families in the wet season.
3.2 Available fish species at Bhairab River in dry season

A total of 11 fish species were recorded during the dry season, spanning families such as Cyprinidae, Siluridae, Channidae, Cichlidae, and Synbranchidae. Although less abundant than in the wet season, Cypriniformes—represented by Puntius ticto (Tit punti), Puntius sarana (Sharpunti), and Amblypharyngodon mola (Mola)—remained the most prevalent group. Siluriformes species like Mystus vittatus (Tengra) and Heteropneustes fossilis (Shing) were also observed, reflecting their resilience to altered water conditions. Channa punctatus (Taki) and Channa striata (Shol) persisted, showcasing their adaptability to low water levels. The presence of Oreochromis mozambicus (Tilapia) and Oreochromis niloticus (Nilotica) from the Cichlidae family indicates tolerance to reduced water flow and oxygen availability. Additionally, Mastacembelus pancalus (Guchibaim) and Macrognathus aculeatus (Tara baim) from Synbranchiformes were found, pointing to a shift in species composition under dry-season stress. These findings demonstrate a marked decline in fish diversity during the dry season, primarily due to lower water levels, decreased DO, and habitat limitations (Table 2).


Table 2. Available fish species at Bhairab River in dry season.



3.2.1 Percentage of fish species based on their families in the dry season

During the dry season, Cypriniformes emerged as the dominant order, accounting for 28% of the recorded species. This was followed by Perciformes, Siluriformes, Synbranchiformes, and Cichliformes, each contributing 18% to the total diversity. Notable species such as Puntius ticto (Tit punti), Oreochromis niloticus (Nilotica), Mystus vittatus (Tengra), and Mastacembelus pancalus (Guchibaim) were among the most frequently observed, reflecting their ability to survive under reduced water levels and variable environmental conditions (Figure 3).


fig3 1 Figure 3. Percentage of fish species according to their families in dry season.
3.3 Aquatic plants at Bhairab river in the wet season

A total of 19 aquatic plant species were identified during the wet season, with the majority belonging to the order Alismatales, which emerged as the most dominant. Commonly observed species included Ipomoea aquatica (water spinach), Eichhornia crassipes (water hyacinth), and Pistia stratiotes (water lettuce), all of which benefited from elevated water levels and increased nutrient input. Floating and emergent species such as Nymphaea nouchali (water lily) and Nelumbo nucifera (lotus) also thrived under flooded conditions, enhancing the richness and structural diversity of aquatic vegetation (Table 3). The greater diversity observed during this season reflects favorable hydrological and ecological conditions that support complex habitats and higher fish biodiversity. However, the widespread presence of invasive species like Eichhornia crassipes may signal potential nutrient over-enrichment and ecological imbalance.


3.3.1 Percentage of plant species in wet season

During the wet season, aquatic plant species in the Bhairab River were predominantly represented by the order Alismatales, which accounted for 42% of the total species. Other moderately represented orders included Poales (16%), Arales (11%), Lamiales (11%), and Najadales (11%). Orders such as Salviniales, Caryophyllales, Nymphaeales, Proteales, Asterales, and Solanales each contributed 1% to the total species count (Figure 4). The dominance of Alismatales—notably species like Sagittaria spp. (arrowhead) and Pistia stratiotes (water lettuce)—indicates their strong adaptability to the hydrological and nutrient-rich conditions characteristic of the wet season. These findings underscore the enhanced plant diversity and ecological productivity of the river during this period, which likely contributes to improved aquatic biodiversity and habitat complexity.


Table 3. Available aquatic plants at Bhairab River in the wet season.


fig4 Figure 4. Percentage of plant species in the wet season.
3.4 Aquatic plants at Bhairab River in dry season

During the dry season, aquatic plant diversity in the Bhairab River declined notably compared to the wet season, with only seven species recorded. These belonged to a limited number of plant orders, including Alismatales, Poales, Arales, and Najadales. Colocasia esculenta (Chinese potato) and Ipomoea aquatica (Water spinach) remained dominant, reflecting their resilience to reduced water levels. Other persistent species, such as Najas graminea (Brittle naiad), Enhydra fluctuans (Hingcha), and Lemna minor (Duckweed), also demonstrated adaptability to seasonal stress (Table 4). The overall reduction in species richness suggests that dry-season conditions constrain the growth and spread of many aquatic plants, potentially impacting habitat structure and food resources for aquatic fauna.


3.4.1 Percentage of plant species in dry season

The percentage distribution of aquatic plant species in the Bhairab River during the dry season revealed a noticeable decline in diversity compared to the wet season. Alismatales remained the most dominant order, accounting for 57% of the total recorded species, while Poales, Arales, and Najadales each contributed 14% (Figure 5). The continued dominance of Alismatales, including resilient species such as Sagittaria spp. (arrowhead) and Pistia stratiotes(water lettuce), highlights their adaptability to fluctuating hydrological conditions. Nevertheless, the overall reduction in species richness during the dry season indicates that many aquatic plants are less tolerant of low water availability, which may lead to diminished habitat complexity and reduced food resources for aquatic organisms.


Table 4. Available aquatic plants at Bhairab River in dry season.


fig5 Figure 5. Percentage of plant species in dry season.
3.5 Threaten species

The findings reveal a noticeable decline in fish biodiversity, with several previously common species now considered rare or potentially locally extinct. Notably, Notopterus notopterus (Foli) and Chitala chitala (Chitol) of the Notopteridae family have experienced sharp population decreases, primarily attributed to habitat degradation and overfishing. Similarly, catfish species such as Ompok pabda (Pabda) and Ompok bimaculatus (Kanipabda) have been adversely impacted by deteriorating water quality and the loss of suitable breeding habitats. Additional species under threat include Bagarius bagarius(Baghair), Rhinomugil corsula (Khorosula), and Colisa labius (Lalkholisha), reflecting broader ecological imbalances in the river ecosystem (Table 5).


Table 5. The threatened species of the Bhairab River.


3.6 Other aquatic species

The Bhairab River supports a variety of aquatic and semi-aquatic species that play critical ecological roles. Pila globosa (apple snail) contributes to nutrient cycling through detritus consumption, while Bufo melanostictus (toad) and Varanus bengalensis (monitor lizard) help control insect and small vertebrate populations, maintaining ecological balance. Species like Melanochelys tricarinata (Indian roofed turtle) and Lamellidens marginalis (freshwater mussel) act as bioindicators, reflecting the river’s water quality. The presence of Scylla serrata (mud crab) suggests occasional brackish water influence, indicating hydrological connectivity. Avian species such as Alcedo atthis (common kingfisher) and Grus grus (Eurasian crane) further underscore the river's significance as a vital feeding and breeding habitat. Despite their ecological importance, these species face threats from habitat degradation and pollution, underscoring the urgency of implementing conservation strategies and sustainable river management practices (Table 6).


Table 6. Other aquatic species.


3.7 Experimental results of water quality parameters

Temperatures peaked in July (wet season) and dropped in January (dry season), reflecting monsoonal and winter influences. The pH remained stable, ranging from neutral to slightly alkaline. Turbidity was highest in the wet season due to runoff and sediment input, while alkalinity peaked in the dry season due to lower flow and higher evaporation. The DO levels were higher during the wet season, whereas BOD was elevated in the dry season, indicating greater organic pollution and reduced water quality.
The highest values generally found in the dry season and the lowest ones are in the rainy season. July shows the highest temperature (31.8 °C), turbidity (785 NTU), and DO (6.5 mg/L) but the lowest pH (7.16) and BOD (1.39 mg/L), likely due to monsoon effects. January records the lowest temperature (22.5 °C) and turbidity (486 NTU) but the highest BOD (1.95 mg/L). Alkalinity peaks in March (145 mg/L) and drops in August (115 mg/L) (Table 8).


Table 7. Highest and Lowest value of water quality of Bhairab River.


3.7.1 Temperature

The Bhairab River water’s monthly temperature variance at the chosen stations. The lowest recorded temperature was 22.5 °C in January, while the maximum temperature was 31.8 °C in July (Figure 6).


fig6 Figure 6. Seasonal variation of temperature in Bhairab River.
3.7.2 pH

The lowest score was 7.16 in July, while the highest value was 7.68 in February. The pH varies a little each month and is quite consistent. Thus, the pH of the water in the Bhairab River was found constant (Figure 7).


fig7 Figure 7. Seasonal variation of pH in Bhairab River.
3.7.3 Turbidity

The turbidity peaked in July at 785 NTU and peaked in January at 486 NTU (Figure 8).


fig8 Figure 8. Turbidity in two seasons.
3.7.4 Alkalinity

The highest alkalinity recorded throughout the experiment was 145 mg/L in March, and the lowest was 115 mg/L in August (Figure 9).


fig9 Figure 9. Alkalinity in two seasons.
3.7.5 Dissolved Oxygen (DO)

The highest DO recorded in July was 6.5 mg/L, while the lowest was 4.5 mg/L in March. Bangladesh claims that the standard DO of drinking water is 6.0, which is quite similar to the outcome of the experiment (Figure 10).

3.7.6 Biological Oxygen Demand (BOD)

The average monthly BOD concentrations throughout the investigation. January had the highest BOD of 1.95 mg/L, while July had the lowest BOD of 1.39 mg/L (Figure 11).

4. Discussion

The study identified 29 fish species in the Bhairab River during the rainy season. These included 13 species from the order Cypriniformes (e.g., Rui, Catla, Mrigal, Titpunti, Silver carp), 4 from Perciformes (e.g., Taki, Shol), 6 from Siluriformes (e.g., Tengra, Pabda, Boal), and one species each from Gobiiformes (Bele) and Anabantiformes (Koi). Additionally, 2 species each were recorded from Synbranchiformes (Guchibaim, Tarabaim) and Cichliformes (Tilapia, Nilotika). In contrast, only 11 species were recorded during the dry season, including three Cypriniformes (Titpunti, Sarpunti, Mola), two Perciformes (Taki, Shol), two Siluriformes (Tengra, Shing), two Synbranchiformes (Guchibaim, Tarabaim), and two Cichliformes (Tilapia, Nilotika). Local fishers noted a sharp decline in biodiversity over the past decades, attributing it to declining water depth, overfishing, temperature changes, and chemical pollution—consistent with previous findings (Marques, 2020; Islam et al., 2017). The study also recorded aquatic plant diversity, with 19 species identified during the wet season, including Lotus, Mutha, Malancha, Panikocu, and Shapla. In the dry season, only 7 species were observed, such as Kochu, Kalmilata, Najas grass, Topapana, and Helencha, reflecting reduced water availability and habitat conditions.


fig10 Figure 10. Seasonal variation of DO of Bhairab River.
fig11 Figure 11. Seasonal variation of Biological Oxygen Demand (BOD) of Bhairab River.

The physicochemical properties of water are crucial as they significantly influence water quality standards. These characteristics can also affect the evolution of biological life forms in the water. Key physicochemical factors such as pH, total dissolved solid (TDS), and electric conductivity (EC) play an essential role in determining water quality indices, which are closely linked to the hydrology and hydro-geography of a river ecosystem (Hossain et al., 2024).
The average temperatures recorded in the designated areas during the months of July, August, September, January, February, and March were 31.60 ºC, 29.80 ºC, 28.30 ºC, 23.10 ºC, 26.40 ºC, and 38.20 ºC, respectively. The highest temperature in the wet season occurred in July, reaching 31.8 ºC, while the lowest temperature in the dry season was recorded in January at 22.50 ºC. A previous study by Kurniawan and Imron (2019) reported a peak wet season temperature of 30.20 ºC in July and a lowest dry season temperature of 21.80 ºC.
The average pH values for the selected areas during July, August, September, January, February, and March were 7.21, 7.27, 7.34, 7.65, 7.7, and 7.62, respectively. The highest pH value of 7.68 was recorded during the dry season, from February to July, while the lowest occurred in July. Throughout the study period, the pH values ranged between 7.2 and 8.01, and temperatures ranged from 28 to 31.5 ºC. According to WHO standards (Saalidong et al., 2022), pH values between 6.5 and 8.5 are deemed suitable for domestic, recreational, and agricultural use, indicating that the water quality is within acceptable limits.
Turbidity in water refers to the reduction in transparency, which can hinder light penetration and negatively affect photosynthesis. This phenomenon can have adverse effects on benthic organisms (Gao et al., 2019). During the wet season in July, turbidity peaked at 785, while in the dry season, it was lower, with a minimum value of 486 in January. Alkalinity levels were higher during the dry season, with a recorded value of 145 in March, while the wet season saw a lower alkalinity level of 115 in August.
The DO is a crucial metric for assessing water quality, as it is essential for the survival of fish and other aquatic organisms. DO levels are primarily influenced by atmospheric oxygen and the photosynthetic activity of aquatic plants. However, factors such as temperature, salinity, air pressure, and pollutants can also affect DO concentrations. Low DO levels can significantly impact aquatic life, leading to stunted growth, reduced reproductive capacity, and even mortality. Excessive photosynthetic plant growth can cause oxygen oversaturation when the rate of photosynthesis surpasses the oxygen absorption rate, threatening the health of the ecosystem (Kalinitchenko et al., 2023). The highest DO level recorded was 6.5 in July (wet season), while the lowest was 4.5 in March (dry season).
The BOD measures the amount of oxygen required to decompose microorganisms in water, making it an essential metric for assessing water quality and determining the level of organic contamination. High BOD levels indicate an elevated concentration of organic material, which can deplete DO and negatively affect aquatic life. Therefore, BOD is a critical factor in evaluating the health of river ecosystems and identifying potential pollution sources (Prambudy et al., 2019). The highest BOD recorded was 1.95 in January (dry season), while the lowest was 1.39 in July (wet season). The study also considered other water quality factors, including pH, transparency, salinity, total alkalinity, total acidity, and DO. The average values across several stations were: temperature 29 ºC, pH 7.68, transparency 10.88 cm, salinity 3.18 ppt, EC 4.78 mS/cm, total alkalinity 103.91 mg/L, total acidity 8.4 mg/L, DO 5.1 mg/L, and dissolved free carbon dioxide 3.89 mg/L.


Conclusions

This study assessed the seasonal variations in aquatic flora and fauna diversity and water quality in the Bhairab River. Findings revealed significant seasonal fluctuations, with greater biodiversity observed during the wet season compared to the dry season. The physicochemical characteristics of the river water also varied between seasons, influenced by factors such as industrial activities, urbanization, and agricultural practices. The decline in aquatic biodiversity and deterioration of water quality highlight the pressing need for sustainable river management strategies. The study underscores the importance of continuous monitoring and implementing conservation measures to safeguard aquatic ecosystems. However, knowledge gaps remain regarding the long-term ecological impacts of pollution and habitat alteration on river biodiversity. Future studies should explore mitigation measures, community-based conservation efforts, and the effectiveness of policy interventions to restore and sustain riverine ecosystems.

Acknowledgements

The authors wish to express their sincere thanks to Fisheries and Marine Bioscience Laboratory, Department of Fisheries and Marine Bioscience, Jashore University of Science and Technology (JUST) for the laboratory support to complete this research.

Funding information

The authors did not get any external funding.

Data availability

The data generated from this study might be shared with a valid request from the corresponding author.

Informed consent statement

Not applicable.

Conflict of interest

The authors declare no conflict of interest.

Authors’ contribution

Conceptualization, data curation, formal analysis, investigation, methodology, reviewing and writing original draft: Sk. Shorif Uddin; Data collection, formal analysis, writing the original draft, reviewing and editing: Abu Bakar Siddique; Data analysis, editing of draft: Chayan Kumar Chatterjee; Formal analysis, review, and editing: Hriday Rahut; Review, and editing: Sadek Ahammed Maruf. All authors critically reviewed the manuscript and agreed to submit final version of the article.

References

Andrabi S, Bakhtiyar Y, Yousuf T, Akhtar M and Nissar S, 2024. Water quality assessment in relation to fish assemblage using multivariate analysis in Manasbal Lake, Kashmir. Water Science, 38: 92–108. https://doi.org/10.1080/23570008.2023.2300850

Anzum HMN, Shaibur MR, Nahar N, Akber A, Hossain MS and Al Mamun S, 2023. Changing dynamics of river ecosystem from aquatic to terrestrial: A case of Bhairab River, Jashore, Bangladesh. Watershed Ecology and the Environment, 5: 134–142. https://doi.org/10.1016/j.wsee.2023.05.001

APHA, 2017. Standard methods for the examination of water and wastewater. American Public Health Association.

Baggio G, Qadir M and Smakhtin V, 2021. Freshwater availability status across countries for human and ecosystem needs. Science of the Total Environment, 792: 148230. https://doi.org/10.1016/j.scitotenv.2021.148230

Dong J, Wang G, Yan H, Xu J and Zhang X, 2015. A survey of smart water quality monitoring systems. Environmental Science and Pollution Research, 22: 4893–4906. https://doi.org/10.1007/s11356-014-4026-x

Dubey A, Malla MA, Khan F, Chowdhary K, Yadav S, Kumar A and Khan ML, 2019. Soil microbiome: A key player for conservation of soil health under changing climate. Biodiversity and Conservation, 28: 2405–2429. https://doi.org/10.1007/s10531-019-01760-5

Gao K, Beardall J, Häder DP, Hall-Spencer JM, Gao G and Hutchins DA, 2019. Effects of ocean acidification on marine photosynthetic organisms under the concurrent influences of warming, UV radiation, and deoxygenation. Frontiers in Marine Science, 6: 322. https://doi.org/10.3389/fmars.2019.00322

Ghalib H, Yaqub M and Al-Abadi A, 2019. Hydrogeochemical modeling and isotopic assessment of the quaternary aquifer at Ali al-Garbi area in Misaan governorate, south of Iraq. In: Chaminé H, Barbieri M, Kisi O, Chen M, Merkel B (Eds). Advances in Sustainable and Environmental Hydrology, Hydrogeology, Hydrochemistry and Water Resources. CAJG 2018. Advances in Science, Technology & Innovation (pp. 121–124). Springer, Cham. https://doi.org/10.1007/978-3-030-01572-5_30

Ghosh GC, Akter SM, Islam RM, Habib A, Chakraborty TK, Zaman S, Kabir AE, Shipin OV and Wahid MA, 2021. Microplastics contamination in commercial marine fish from the Bay of Bengal. Regional Studies in Marine Science, 44: 101728. https://doi.org/10.1016/j.rsma.2021.101728

Hamilton M, Yeasin M, Alam MB, Ali MR, Fakhruddin M, Islam MM and Benzie J, 2022. On-farm performance of genetically-improved rohu (Labeo rohita) in Bangladesh. Frontiers in Aquaculture, 1: 1060335. https://doi.org/10.3389/faquc.2022.1060335

Hammoumi D, Al-Aizari HS, Alaraidh IA, Okla MK, Assal ME, Al-Aizari AR, MS Moshab, Chakiri S and Bejjaji Z, 2024. Seasonal variations and assessment of surface water quality using water quality index (WQI) and principal component analysis (PCA): A case study. Sustainability, 16(13): 5644; https://doi.org/10.3390/su16135644

Hasan MM, Ahmed MS and Adnan R, 2020. Assessment of physico-chemical characteristics of river water emphasizing tannery industrial park: A case study of Dhaleshwari River, Bangladesh. Environmental Monitoring and Assessment, 192(12): 807. https://doi.org/10.1007/s10661-020-08750-z

Hossain MS, Nahar N, Shaibur MR, Bhuiyan MT, Siddique AB, Al Maruf A and Khan AS, 2024. Hydro-chemical characteristics and groundwater quality evaluation in the south-western region of Bangladesh: A GIS-based approach and multivariate analyses. Heliyon, 10: e24011. https://doi.org/10.1016/j.heliyon.2024.e24011

Islam MA, Al-Asif A, Samad MA, Sarker B, Ahmed M, Satter A and Hossain A, 2017. A comparative study on fish biodiversity with conservation measures of the Bhairab River, Jessore, Bangladesh. Asian Journal of Medical and Biological Research, 3(3): 357–367. https://doi.org/10.3329/ajmbr.v3i3.34526

Kalinitchenko VP, Swidsinski AV, Glinushkin AP, Meshalkin VP, Gudkov SV, Minkina TM and Shestakova AA, 2023. New approach to soil management focusing on soil health and air quality: One earth one life (critical review). Environmental Geochemistry and Health, 45(12): 8967–8987. https://doi.org/10.1007/s10653-023-01550-7

Kurniawan SB and Imron MF, 2019. Seasonal variation of plastic debris accumulation in the estuary of Wonorejo River, Surabaya, Indonesia. Environmental Technology and Innovation, 16: 100490. https://doi.org/10.1016/j.eti.2019.100490

Lancaster B, 2019. Rainwater harvesting for drylands and beyond, volume 1: Guiding principles to welcome rain into your life and landscape. Lancaster B (Eds.) Rainsource Press. pp. 304.

Marques L, 2020. Collapse of biodiversity in the aquatic environment. In: Marques L (Eds.), Capitalism and Environmental Collapse (pp. 275-301). Springer, Cham. https://doi.org/10.1007/978-3-030-47527-7_11

Mishra RK, 2023. Fresh water availability and its global challenge. British Journal of Multidisciplinary and Advanced Studies, 4(3): 1–78. https://doi.org/10.37745/bjmas.2022.0208

Prambudy H, Supriyatin T and Setiawan F, 2019. The testing of chemical oxygen demand (COD) and biological oxygen demand (BOD) of river water in Cipager Cirebon. Journal of Physics Conference Series, 1360: 012010. https://doi.org/10.1088/1742-6596/1360/1/012010

Rocha FC, Andrade EM and Lopes FB, 2015. Water quality index calculated from biological, physical and chemical attributes. Environmental Monitoring and Assessment, 187: 4163. https://doi.org/10.1007/s10661-014-4163-1

Saalidong BM, Aram SA, Otu S, Lartey PO, 2022. Examining the dynamics of the relationship between water pH and other water quality parameters in ground and surface water systems. PLoS One, 17: e0262117. https://doi.org/10.1371/journal.pone.0262117

Sardar S, Uddin MN, Reza MS and Jamil AHMN, 2017. Evaluation of drinking water quality in Jessore district, Bangladesh. IOSR Journal of Biotechnology and Biochemistry, 3(4): 59-62.

Singh B and Craswell E, 2021. Fertilizers and nitrate pollution of surface and ground water: An increasingly pervasive global problem. SN Applied Sciences, 3(4): 518. https://doi.org/10.1007/s42452-021-04521-8

 

How to cite

Uddin SS, Siddique AB, Chatterjee CK, Rahut H and Maruf SA 2025. Seasonal variation of aquatic flora and faunal diversity and physicochemical characteristics of Bhairab River water, Jashore, Bangladesh. Journal of Aquatic Research and Sustainability, 2(2): 22-29. https://doi.org/10.69517/jars.2025.02.02.0004

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Table 7. Highest and Lowest value of water quality of Bhairab River.

Parameters

Highest value/month

Lowest value/ month

Temperature (°C)

31.8/ July

22.5/ January

pH

7.68/ February

7.16/ July

Turbidity (NTU)

785/ July

486/ January

Alkalinity (mg/L)

145/ March

115/ August

DO (mg/L)

6.5/ July

4.5/ March

BOD (mg/L)

1.95/ January

1.39/ July

 

Table 6. Other aquatic species.

Scientific name

Common name

Local name

Pila globosa

Snail

Apple shamus

Bufo melanostictus

Frog

Kuno bang

Varanus bengalensis

Snake (aquatic)

Guisaap

Melanochelys tricarinat

Turtle

Kossop

Lamellidens marginalis

Mussel

Jhinuk

Scylla serrata

Mud crab

Crab

Alcedo atthis

Aquatic bird

Maachranga

Grus grus

Aquatic bird

Bok

 

Table 5. The threatened species of the Bhairab River.

Sl. No.

Scientific name

Common name

Local name

1

Notopterus notopterus

Featherback

Foli

2

Chitala chitala

Featherback

Chitol

4

Ompok pabda

Catfish

Pabda

5

Ompok bimaculatus

Catfish

Kanipabda

6

Bagarius bagarius

Catfish

Baghayre

7

Rhinomugil corsula

Mullet

Khorosula

8

Colisa labius

Gourami

Lalkholisha

 

Table 4. Available aquatic plants at Bhairab River in dry season.

Sl No.

Local name

Common name

Scientific name

1

Kochu

Chinese potato

Colocasia esculenta

2

Kalmilata

Water spinach

Ipomoea aquatic

3

Najas grass

Brittle naiad

Najas graminea

4

Helencha

Hingcha

Enhydra fluctuans

5

Topapana

Water lettuce

Pistia stratiotes

6

Khudipana

Duckweed

Lemna minor

7

Kutipana

Mosquito fern

Azolla pinnata

 

Table 3. Available aquatic plants at Bhairab River in the wet season.

Sl No.

Local name

Common name

Scientific name

1

Kalmilata

Water spinach

Ipomoea aquatic

2

Helencha

Hingcha

Enhydra fluctuans

3

Kachuripana

Water hyacinth

Eichhornia crassipes

4

Kochu

Chinese potato

Colocasia esculenta

5

Topapana

Water lettuce

Pistia stratiotes

6

Shapla

Water lily

Nymphaea nuchal

7

Najas grass

Brittle naiad

Najas graminea

8

Khudipana

Duckweed

Lemna minor

9

Hydrilla grass

Water thyme

Hydrilla verticillata

10

Lotus

Water lily

Nelumbo nucifera

11

Mutha

Grass

Cyperus rotundus

12

Malancha

Alligator weed

Alternanthera philoxeroidis

13

Panikocu

Arrowhead

Sagittaria spp.

14

Arail

Southern cut grass

Leersia hexandra

15

Sonapana

Giant duckweed

Spirodela polyrrhiza

16

Kutipana

Mosquito fern

Azolla pinnata

17

Dol

Asian waterweed

Hygrorayza aristata

18

Ghechu

Aponogetonvalvaecus

Aponogeton spp.

19

Kanaibashi

Dayflower

Commerlina bengalensis

 

Table 2. Available fish species at Bhairab River in dry season.

Sl No

Scientific name

Common name

Local name

01

Puntius ticto

Barb

Tit punti

02

Puntius sarana

Barb

Sharpunti

03

Channa punctatus

Snakehead

Taki

04

Channa striata

Snakehead

Shol

05

Mystus vittatus

Molacarplet

Tengra

06

Oreochromis mozumbicus

Perch

Tilapia

07

Oreochromis niloticus

Perch

Nilotica

08

Mastacembelus pancalus

Spiny eel

Guchibaim

09

Macrognathus aculeatus

Spiny eel

Tara baim

10

Amblypharyngodon mola

Molacarplet

Mola

11

Heteropneustes fossilis

Catfish

Shing

Table 1. Available fish species at Bhairab River in the wet season.

Sl No.

Scientific name

Common name

Local name

1

Labeo rohita

India major carp

Rui

2

Catla catla

India major carp

Catla

3

Cirrhinus cirrhosus

India major carp

Mrigal

4

Labeo calabash

India major carp

Kalibaush

5

Labeo bata

Minor carp

Bata

6

Puntius into

Barb

Tit punti

7

Puntius sarana

Barb

Sharpunti

8

Channa punctatus

Snake head

Taki

9

Channa striata

Snake head

Shol

10

Amblypharyngodon mola

Molacarplet

Mola

11

Mystus vittatus

Molacarplet

Tengra

12

Colisa fasciata

Gourami

Kholisa

13

Glossogobius giuris

Tank goby

Bele

14

Anabus testudineus

Climbing

Koi

15

Mastacembelus pancalus

Spiny eel

Guchibaim

16

Macrognathus aculeatus

Spiny eel

Tara baim

17

Oreochromis mozumbicus

Perch

Tilapia

18

Oreochromis niloticus

Perch

Nilotica

19

Osteobrama catio

Cotio

Dhela

20

Lepidocephalus guntea

Loach

Gutum

21

Ompoc panda

Catfish

Pabda

22

Wallago attu

Catfish

Boal

23

Separate aor

Catfish

Aor

24

Hypopthalmichthys humiliatrix

India major carp

Silver carp

25

Pangasius pangasius

Catfish

Pangus

26

Cyprinus carpio

India major carp

Mirror carp

27

Nandus nandus

Perch

Roina

28

Heteropneustes fossilis

Catfish

Shing

29

Ctenopharyngodon idella

India major carp

Grass carp

 

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