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Research article · 2026 · Full text

International Journal of Biology Sciences

Seasonal variations in zooplankton concerning physicochemical conditions of the Darna River in Nashik district, Maharashtra

Kanchan ShejwalVikram Kakulte

Volume 8(7) · Pages 262–267 · DOI: 10.33545/26649926.2026.v8.i7c.951 ↗

Research areasAquatic Ecosystems and Phytoplankton DynamicsWater Quality and Pollution AssessmentWater Quality and Resources Studies

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Abstract

Author-written

This study investigated the spatiotemporal variations in zooplankton communities concerning physicochemical parameters in the Darna River, Maharashtra, across pre-monsoon (May) and post-monsoon (October) seasons of 2024. Water samples were collected monthly from four strategically chosen sites: Darna Dam, Shennit, Shevge Darna, and Darna Sangavi, representing varying anthropogenic influences. Analysis revealed significant seasonal fluctuations in key parameters, including dissolved oxygen (DO), biochemical oxygen demand (BOD), total dissolved solids (TDS), and temperature. Zooplankton diversity, comprising Rotifera, Cladocera, Copepoda, and Ostracoda, was highest during the pre-monsoon period at all sites, strongly correlating with elevated temperatures and nutrient availability. Sites proximal to human settlements and industrial discharge (Shevge Darna, Darna Sangavi) exhibited persistently degraded water quality, evidenced by critically low DO (<1 mg/L) and high BOD (>60 mg/L) levels. These results underscore the severe impact of anthropogenic pressures on the river's ecological health, with zooplankton communities serving as effective bioindicators of pollution stress.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • The Darna River in Nashik District is an ecologically important water body that supports various fish species and is vital for the local community. View evidence ↗

      Why it matters

      The Darna River in Nashik District is an ecologically important water body that supports various fish species and is vital for the local community.

      In the paper's own words

      “The Darna River in Nashik District is an ecologically significant water body, supporting diverse aquatic life, including a variety of fish species (Kakulate & Tidme, 2018) [16], and plays a vital role for the local population.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The river faces pollution challenges, partly due to the disposal of ritual waste from puja offerings and holy dips. View evidence ↗

      Why it matters

      The river faces pollution challenges, partly due to the disposal of ritual waste from puja offerings and holy dips.

      In the paper's own words

      “However, the river has faced significant water pollution challenges in recent years. Various rituals, including puja offerings and holy dips, are performed at the confluence with the Godavari River. Unfortunately, the disposal of ritual waste at multiple points along the river's course contributes to pollution.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Rapid industrial growth and new settlements in Nashik have increased the pressure on the region's water resources. View evidence ↗

      Why it matters

      Rapid industrial growth and new settlements in Nashik have increased the pressure on the region's water resources.

      In the paper's own words

      “Moreover, Nashik is experiencing rapid industrial growth, attracting individuals seeking employment and establishing new settlements. This growth has increased pressure on water and other local resources (Bawa & Gaikwad, 2013) [4].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to investigate how zooplankton communities and water physicochemical parameters varied across space and time during the pre-monsoon and post-monsoon seasons of 2024. View evidence ↗

      The question

      The study aimed to investigate how zooplankton communities and water physicochemical parameters varied across space and time during the pre-monsoon and post-monsoon seasons of 2024.

      In the paper's own words

      “This study investigated the spatiotemporal variations in zooplankton communities concerning physicochemical parameters in the Darna River, Maharashtra, across pre-monsoon (May) and post-monsoon (October) seasons of 2024.”

      Page 1

      Found in: Physicochemical Parameters

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • Water samples were collected monthly from four sites with different levels of human influence: Darna Dam, Shennit, Shevge Darna, and Darna Sangavi. View evidence ↗

      What they did

      Water samples were collected monthly from four sites with different levels of human influence: Darna Dam, Shennit, Shevge Darna, and Darna Sangavi.

      In the paper's own words

      “Water samples were collected monthly from four strategically chosen sites: Darna Dam, Shennit, Shevge Darna, and Darna Sangavi, representing varying anthropogenic influences.”

      Page 1

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 1 ↗
    • The researchers measured pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), total dissolved solids (TDS), and temperature using APHA standard methods. View evidence ↗

      What they did

      The researchers measured pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), total dissolved solids (TDS), and temperature using APHA standard methods.

      In the paper's own words

      “These samples were analysed in a laboratory for physical and chemical parameters, including pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), total dissolved solids (TDS), and temperature, using standard methods outlined by APHA (2005) [1].”

      Page 2

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Zooplankton were analyzed by filtering 50 liters of surface water through a bolting silk net and fixing the filtrate in a 4% formaldehyde solution. View evidence ↗

      What they did

      Zooplankton were analyzed by filtering 50 liters of surface water through a bolting silk net and fixing the filtrate in a 4% formaldehyde solution.

      In the paper's own words

      “To analyse the biological factors such as plankton, 50 litres of surface water was filtered through a small plankton net constructed from bolting silk number 25. The filtrate was then transferred into a 4% formaldehyde solution for fixation.”

      Page 2

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 2 ↗
    • The study used Principal Component Analysis (PCA) and Multivariate Analysis of Variance (MANOVA) to statistically validate water quality patterns. View evidence ↗

      What they did

      The study used Principal Component Analysis (PCA) and Multivariate Analysis of Variance (MANOVA) to statistically validate water quality patterns.

      In the paper's own words

      “To statistically validate the observed spatiotemporal patterns in water quality, a Principal Component Analysis (PCA) and Multivariate Analysis of Variance (MANOVA) were performed on the physicochemical data.”

      Page 5

      Found in: Multivariate Statistical Analysis of Physicochemical

      Read it in the full textOpen PDF at page 5 ↗
  4. What they found

    • Water temperature showed a seasonal decrease from a peak of 39-43°C in May to 28-35°C in October. View evidence ↗

      What they found

      Water temperature showed a seasonal decrease from a peak of 39-43°C in May to 28-35°C in October.

      In the paper's own words

      “Temperature exhibited a clear seasonal trend, decreasing from a peak in the pre-monsoon summer (May, 39-43°C) to lower values during and after the monsoon (28-35°C in October) (Table 1).”

      Page 2

      Found in: Physicochemical Parameters

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    • Water quality varied sharply by location: Darna Dam had healthy DO (7.02-7.60 mg/L) and low BOD (3.10-5.20 mg/L), while Darna Sangavi had critically low DO (0.1-1.7 mg/L) and high BOD (39.8-69 mg/L). View evidence ↗

      What they found

      Water quality varied sharply by location: Darna Dam had healthy DO (7.02-7.60 mg/L) and low BOD (3.10-5.20 mg/L), while Darna Sangavi had critically low DO (0.1-1.7 mg/L) and high BOD (39.8-69 mg/L).

      In the paper's own words

      “The upstream site at Darna Dam maintained healthy DO levels (7.02-7.60 mg/L) and low BOD (3.10-5.20 mg/L), indicating good water quality. In stark contrast, the Darna Sangavi site consistently showed critically low DO (0.1-1.7 mg/L) and alarmingly high BOD (39.8-69 mg/L)”

      Page 3

      Found in: Physicochemical Parameters

      Read it in the full textOpen PDF at page 3 ↗
    • Total Dissolved Solids (TDS) and turbidity were highest at the Darna Sangavi site, reaching 660-710 mg/L and 40-46 NTU respectively. View evidence ↗

      What they found

      Total Dissolved Solids (TDS) and turbidity were highest at the Darna Sangavi site, reaching 660-710 mg/L and 40-46 NTU respectively.

      In the paper's own words

      “Values were lowest at the pristine Darna Dam site and highest at Darna Sangavi (TDS: 660-710 mg/L; Turbidity: 40-46 NTU).”

      Page 3

      Found in: Physicochemical Parameters

      Read it in the full textOpen PDF at page 3 ↗
    • Zooplankton abundance and diversity peaked in May (pre-monsoon) due to higher temperatures and more available phytoplankton food. View evidence ↗

      What they found

      Zooplankton abundance and diversity peaked in May (pre-monsoon) due to higher temperatures and more available phytoplankton food.

      In the paper's own words

      “Zooplankton diversity and abundance were highest across all sites during the pre-monsoon period (May). This proliferation can be attributed to elevated water temperatures, which enhance metabolic rates and reproductive cycles, and increased availability of phytoplankton as a food source”

      Page 4

      Found in: Physicochemical Parameters

      Read it in the full textOpen PDF at page 4 ↗
    • The presence of pollution-tolerant Rotifera genera, such as Brachionus and Keratella, at Shevge Darna and Darna Sangavi indicates eutrophic conditions. View evidence ↗

      What they found

      The presence of pollution-tolerant Rotifera genera, such as Brachionus and Keratella, at Shevge Darna and Darna Sangavi indicates eutrophic conditions.

      In the paper's own words

      “The prevalence of genera like Brachionus and Keratella (Rotifera), known to be tolerant of organic enrichment, at the polluted sites (Shevge Darna, Darna Sangavi) supports their status as indicator species for eutrophic conditions”

      Page 4

      Found in: Physicochemical Parameters

      Read it in the full textOpen PDF at page 4 ↗
    • PCA analysis differentiated the sites, associating Darna Dam and Shennit with higher DO and balanced pH, while Darna Sangavi correlated with higher TDS and temperature. View evidence ↗

      What they found

      PCA analysis differentiated the sites, associating Darna Dam and Shennit with higher DO and balanced pH, while Darna Sangavi correlated with higher TDS and temperature.

      In the paper's own words

      “The PCA biplot (Figure 2) clearly differentiated the sampling stations. Darna Dam and Shennit clustered on the negative side of PC1, strongly associated with higher dissolved oxygen (DO) levels and balanced pH... In contrast, Darna Sangavi was positioned on the positive side of PC1, strongly correlated with elevated total dissolved solids (TDS) and temperature”

      Page 5

      Found in: Multivariate Statistical Analysis of Physicochemical

      Read it in the full textOpen PDF at page 5 ↗
  5. What it means

    • The authors conclude that there is a clear inverse relationship between human-caused pollution and the river's ecological health, with Shevge Darna and Darna Sangavi identified as critically degraded. View evidence ↗

      What it means

      The authors conclude that there is a clear inverse relationship between human-caused pollution and the river's ecological health, with Shevge Darna and Darna Sangavi identified as critically degraded.

      In the paper's own words

      “This study demonstrates a clear inverse relationship between anthropogenic pollution and the ecological integrity of the Darna River. The physicochemical and biological data conclusively identify Shevge Darna and Darna Sangavi as critically degraded zones.”

      Page 6

      Found in: Conclusion

      Read it in the full textOpen PDF at page 6 ↗
    • The authors recommend implementing watershed management, stricter industrial discharge regulations, and public awareness campaigns to protect the river's biodiversity. View evidence ↗

      What it means

      The authors recommend implementing watershed management, stricter industrial discharge regulations, and public awareness campaigns to protect the river's biodiversity.

      In the paper's own words

      “These findings highlight the urgent need to implement watershed management strategies, including stricter regulation of industrial discharge and public awareness campaigns regarding ritualistic waste, to mitigate further ecological degradation and protect the river's biodiversity.”

      Page 6

      Found in: Conclusion

      Read it in the full textOpen PDF at page 6 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (Zooplankton in the Darna River). It explains the idea and does not show study data.↗ Enlarge
Pollution Gradient and Biological Response
AI-generated conceptual illustration (Zooplankton in the Darna River). It explains the idea and does not show study data.

AI-generated conceptual illustration (Zooplankton in the Darna River). It explains the idea and does not show study data.

Open full-size image ↗

Pollution Gradient and Biological Response

AI-generated conceptual illustration (Zooplankton in the Darna River). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.↗ Enlarge
DO (mg/L): Darna Dam (Mean ± SD) vs Shennit (Mean ± SD) vs Shevge Darna (Mean ± SD) vs Darna Sangavi (Mean ±...
Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

DO (mg/L): Darna Dam (Mean ± SD) vs Shennit (Mean ± SD) vs Shevge Darna (Mean ± SD) vs Darna Sangavi (Mean ±...

Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.↗ Enlarge
BOD (mg/L): Darna Dam (Mean ± SD) vs Shennit (Mean ± SD) vs Shevge Darna (Mean ± SD) vs Darna Sangavi (Mean ±...
Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

BOD (mg/L): Darna Dam (Mean ± SD) vs Shennit (Mean ± SD) vs Shevge Darna (Mean ± SD) vs Darna Sangavi (Mean ±...

Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Map of the Darna River in Nashik District, Maharashtra, India, showing the four sampling stations: 1. Darna Dam, 2. Shennit, 3.Figure 1Page 2Spatiotemporal variation in physicochemical parametersTable 1Page 3Summary of Physicochemical Parameters (Mean ± Standard Deviation) across Sampling Stations on the Darna RiverTable 2Page 3List of Zooplanktons observed from the water samples of Darna River in Nashik District during May 2024 to October 2024Table 3Page 4Results of the Multivariate Analysis of VarianceTable 4Page 5PCA Biplot Illustrating the distribution of sampling location and parameters across the first two principal componentsFigure 2Page 5
FULL TEXT Original article · reflowed for reading

Introduction

Water is one of the most precious resources on Earth. It is essential for life; without water, life as we know it could not exist. Life originated in water, and many species thrive exclusively in aquatic environments (Trivedi, 2004) [30] . Water possesses unique properties crucial for the functioning of the biosphere (Ghose, 2002) [13] . Approximately 97% of the Earth's water is found in glaciers and polar ice, while 0.009% exists in lakes. The percentage of water present in rivers is 0.00009%, and the remaining water is found as groundwater. Consequently, only about 1% of all water on the planet is actively utilised by living organisms, highlighting the importance of maintaining water quality. If pure water were used for drinking, around 98% of waterborne diseases could be controlled (Kudeshia, 2003) [19] . The Darna River in Nashik District is an ecologically significant water body, supporting diverse aquatic life, including a variety of fish species (Kakulate & Tidme, 2018) [16] , and plays a vital role for the local population. The river originates from the Kulung Hill Fort in the Sahyadri range. It flows through Igatpuri, Nashik, and Niphad Talukas of Nashik District, making it essential for nearby communities. However, the river has faced significant water pollution challenges in recent years. Various rituals, including puja offerings and holy dips, are performed at the confluence with the Godavari River. Unfortunately, the disposal of ritual waste at multiple points along the river's course contributes to pollution. Moreover, Nashik is experiencing rapid industrial growth, attracting individuals seeking employment and establishing new settlements. This growth has increased pressure on water and other local resources (Bawa & Gaikwad, 2013) [4] . Seasonal changes impact various factors, including water quality, so the study focused on the pre-monsoon and post-monsoon periods. The parameters examined included physical and biological aspects such as pH, BOD, and turbidity.

Materials and Methods

This paper examines the changes in river water's physicochemical and biological properties during the premonsoon and post-monsoon seasons. Water samples were collected from four selected sites for the study: 1) Darna Dam, 2) Shennit, 3) Shevge Darna, and 4) Darna Sangavi (see Figure 1). These sites were selected because they are areas where changes in water quality are easily observed. Water either accumulates in these locations due to various human activities or is utilized by people for different purposes. As a result, the findings will be more accurate as compared to areas where the river flows continuously. Water samples were collected monthly from May 2024 to October 2024 at the specified sites. These samples were analysed in a laboratory for physical and chemical parameters, including pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), total dissolved solids (TDS), and temperature, using standard methods outlined by APHA (2005) [1] .

Figure 1. Map of the Darna River in Nashik District, Maharashtra, India, showing the four sampling stations: 1. Darna Dam, 2. Shennit, 3.
Map of the Darna River in Nashik District, Maharashtra, India, showing the four sampling stations: 1. Darna Dam, 2. Shennit, 3.↗ Enlarge
Figure 1
Map of the Darna River in Nashik District, Maharashtra, India, showing the four sampling stations: 1. Darna Dam, 2. Shennit, 3.

Map of the Darna River in Nashik District, Maharashtra, India, showing the four sampling stations: 1. Darna Dam, 2. Shennit, 3.

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

To analyse the biological factors such as plankton, 50 litres of surface water was filtered through a small plankton net constructed from bolting silk number 25. The filtrate was then transferred into a 4% formaldehyde solution for fixation. A 10 ml sample was taken in two separate tubes for centrifugation in the laboratory. The samples were centrifuged for 10 minutes at 1500 revolutions per minute. The supernatant was discarded, and the remaining sample was placed onto a clean glass slide. A clean cover slip was then used to observe the sample under a light microscope. The samples were examined for both the pre-monsoon and post-monsoon seasons.

Results and Discussion

Results and Discussion

Physicochemical Parameters

The analysis of physicochemical parameters revealed significant spatial and temporal variations across the four sampling stations, highlighting the influence of both seasonal cycles and anthropogenic pressure. Temperature exhibited a clear seasonal trend, decreasing from a peak in the pre-monsoon summer (May, 39-43°C) to lower values during and after the monsoon (28-35°C in October) (Table 1). This pattern is consistent with the regional climatology.

Table 1. Spatiotemporal variation in physicochemical parameters
MonthStationpHDO (mg/L)BOD (mg/L)Turbidity (NTU)TDS (mg/L)Temp (°C)
MayDarna Dam7.907.064.604.0014039
Shennit7.906.905.605.6015243
Shevge Darna8.103.4028.8032.0057042
Sangavi8.200.1069.0046.0071041
JuneDarna Dam7.907.025.204.2012633
Shennit7.906.906.206.0016035
Shevge Darna8.103.1530.8041.8066835
Sangavi8.300.4060.0044.8070235
JulyDarna Dam8.007.603.104.2013028
Shennit8.007.503.404.8014630
Shevge Darna8.007.004.6015.0025033
Sangavi8.300.8042.6041.0066232
AugustDarna Dam8.107.403.203.8011830
Shennit8.107.303.804.6013832
Shevge Darna8.306.4210.1013.8023630
Sangavi8.401.7039.8040.8066033
Sept.Darna Dam8.107.603.105.0014628
Shennit8.007.603.205.6016831
Shevge Darna8.204.4022.8418.1028432
Sangavi8.400.5056.4044.6069231
Oct.Darna Dam8.107.503.404.0012030
Shennit8.107.403.505.0015033
Shevge Darna8.033.9224.6420.2030233
Sangavi8.500.4060.2044.6069230

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Spatiotemporal variation in physicochemical parameters↗ Enlarge
Table 1
Spatiotemporal variation in physicochemical parameters

Spatiotemporal variation in physicochemical parameters

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Original paper tableSource PDF · page 3 ↗

It aligns with studies on other Indian rivers, such as the Godavari, where summer temperatures are typically highest due to increased solar irradiance and reduced water volume (Nalawade & Bagul, 2020) [22] . The clear seasonal trend in water temperature, peaking in the pre-monsoon summer, aligns with patterns documented in the Masoli reservoir (Kadam et al., 2007) [15] . pH values remained alkaline throughout the study period, ranging from 7.9 to 8.5 across all sites. The alkaline pH observed in the Darna River is consistent with findings from other water bodies in Maharashtra, such as the Sawana reservoir (Jayabhaye et al., 2008) [14] . A slight increase in pH was observed during the post-monsoon months, potentially due to reduced photosynthetic activity and lower levels of CO2 dissolution, a phenomenon also noted by Garg et al. (2010) [12] in Ramsagar reservoir. The most striking spatial gradient was observed in Dissolved Oxygen (DO) and Biochemical Oxygen Demand (BOD). The upstream site at Darna Dam maintained healthy DO levels (7.02-7.60 mg/L) and low BOD (3.10-5.20 mg/L), indicating good water quality. In stark contrast, the Darna Sangavi site consistently showed critically low DO (0.1-1.7 mg/L) and alarmingly high BOD (39.8-69 mg/L) (Fig. X). These values far exceed the CPCB standards for outdoor bathing (BOD < 3 mg/L) and signify severe organic pollution, likely originating from the nearby thermal power plant and industrial discharge. Similarly, Shevge Darna showed degraded conditions, though less severe than Sangavi. This pattern of oxygen depletion downstream of pollution point sources is a well-documented global phenomenon (Cairns, 1997) [8] . The high BOD indicates a substantial load of biodegradable organic waste, leading to intense microbial respiration that consumes dissolved oxygen, as described by Trivedi (2004). The degraded water quality at the downstream stations, characterised by high BOD and low DO, presents a stark contrast to the conditions reported in well-managed lakes like Pakhal Lake in Andhra Pradesh (Vasumathi et al., 2009) [32] . Total Dissolved Solids (TDS) and Turbidity showed parallel trends. Values were lowest at the pristine Darna Dam site and highest at Darna Sangavi (TDS: 660-710 mg/L; Turbidity: 40-46 NTU). The monsoon season (July-August) initially increased turbidity at all sites due to surface runoff, as seen in the Kalawa lake study (Pejaver & Gurav, 2008) [25] , but a subsequent dilution effect was observed, slightly reducing TDS. The persistently high TDS at Sangavi and Shevge Darna directly indicates effluent discharge and anthropogenic input. The gradual increase in TDS from upstream to downstream sites mirrors observations in other impounded waters in the region, such as the Ruti dam (Kamble et al., 2009) [17] . Table 2 presents the physicochemical parameters observed at the various sampling sites along the Darna River, highlighting marked differences influenced by anthropogenic activities. The pH levels across all stations were slightly alkaline, with the highest value recorded at Darna Sangavi (8.35). This notable difference (p< 0.001) suggests that downstream human activities significantly alter the river's pH. Dissolved oxygen (DO) levels were high and stable at the upstream sites, averaging around 7.3 mg/L. However, a substantial decline was noted at Shevge Darna (4.7 mg/L), with a critically low level at Darna Sangavi (0.65 mg/L). This sharp decrease indicates severe organic pollution and oxygen depletion in the downstream areas. Biochemical Oxygen Demand (BOD) showed a pattern reflective of organic pollution, with low values at upstream stations (~4 mg/L) escalating dramatically to very high levels at Shevge Darna (20.3 mg/L) and reaching an extreme at Darna Sangavi (54.8 mg/L). These significant differences (p< 0.001) underscore the heavy organic load and untreated wastewater discharge impacting the river. Regarding turbidity, low levels were recorded at Darna Dam and Shennit (4-5 NTU), but a sharp increase was observed at Shevge Darna (23.8 NTU), with the highest readings at Darna Sangavi (42.9 NTU). This trend indicates considerable sediment and waste inflow from human activities. Total dissolved solids (TDS) reflected a similar pattern, gradually rising from upstream (130-152 mg/L) to midstream (385 mg/L) and peaking at Darna Sangavi (686 mg/L). This increasing trend (p< 0.001) points to the impacts of agricultural runoff, sewage, and effluents on water quality. Finally, while the temperature across all sites ranged from 31 to 34 °C, no significant differences were observed (p = 0.12), indicating that temperature does not play a significant role in driving variations in water quality among the sites.

Table 2. Summary of Physicochemical Parameters (Mean ± Standard Deviation) across Sampling Stations on the Darna River
Summary of Physicochemical Parameters (Mean ± Standard Deviation) across Sampling Stations on the Darna River↗ Enlarge
Table 2
Summary of Physicochemical Parameters (Mean ± Standard Deviation) across Sampling Stations on the Darna River

Summary of Physicochemical Parameters (Mean ± Standard Deviation) across Sampling Stations on the Darna River

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

One hundred eleven zooplankton species belonging to four major groups, Rotifera, Cladocera, Copepoda, and Ostracoda, were identified (Table 3). The physicochemical conditions profoundly influenced the community composition and distribution. Zooplankton diversity and abundance were highest across all sites during the premonsoon period (May). This proliferation can be attributed to elevated water temperatures, which enhance metabolic rates and reproductive cycles, and increased availability of phytoplankton as a food source (Battish, 1992) [3] . The prevalence of genera like Brachionus and Keratella (Rotifera), known to be tolerant of organic enrichment, at the polluted sites (Shevge Darna, Darna Sangavi) supports their status as indicator species for eutrophic conditions (Sharma, 1991-92) [27] . Daphnia pulex and Cyclops varidis at almost all sites indicate a water quality capable of supporting these common crustaceans. The higher zooplankton abundance in the pre-monsoon period can be linked to increased primary productivity driven by elevated temperatures, a relationship also noted in studies of the Bheema River (Vasanthkumar & Vijaykumar, 2011) [31] . Maintaining optimal physicochemical conditions is fundamental for aquatic productivity and the health of ecosystems (Sinha & Srivastava, 1991) [28] , a principle clearly demonstrated by the stressed zooplankton communities in the polluted sites of the Darna River. A sharp decline in zooplankton density was recorded during the monsoon months (June-September). This is primarily due to the combined effects of dilution from increased water volume, hydraulic washout where currents flush organisms downstream, and reduced light penetration from high turbidity, which limits primary production and thus food availability (Bilous et al., 2015; Sajeeb, 2021) [6,21] . This seasonal crash in plankton populations is common in riverine ecosystems affected by monsoon dynamics. The spatial analysis revealed that the polluted sites (Shevge Darna, Darna Sangavi), despite having a presence of species, likely hosted stressed communities with lower overall abundance and a shift towards pollution-tolerant taxa. This is consistent with the findings of Tidme (2013) [29] in temple ponds around Nashik, where water quality directly dictated zooplankton density. The high BOD and low DO levels at these sites create a physiologically stressful environment, inhibiting the survival of sensitive species and reducing overall biodiversity, a classic sign of organic pollution (Borics & Abonyi, 2021) [7] . The results demonstrate a clear cause-and-effect relationship between human activity, water quality, and biological response. The intense anthropogenic pressure at Shevge Darna and Darna Sangavi manifests as severe organic pollution (high BOD), which depletes dissolved oxygen and elevates TDS. This degraded habitat, in turn, structures the zooplankton community, selecting for tolerant species and reducing overall ecosystem health and biodiversity. The seasonal monsoon provides a temporary respite through dilution, but the persistent nature of the pollution sources ensures that water quality degrades again post-monsoon. This study confirms that zooplankton communities are effective bioindicators, as their composition directly reflected the trophic status and pollution levels of the river, a conclusion supported by work on other Indian water bodies (Dhembare, 2011; Patil et al., 2008) [11,24] . The findings underscore the urgent need for targeted mitigation strategies, particularly at the identified pollution hotspots, to restore the ecological balance of the Darna River.

Table 3. List of Zooplanktons observed from the water samples of Darna River in Nashik District during May 2024 to October 2024
SpeciesSampling Stations———
Darna DamShennitShevge DarnaDarna Sangavi
Rotifers
Asplanchna sp.--+-
Brachionus caudatus---+
Brachionus foficula-++-
Brachionus ureceolaris++--
Brachionus angularis+-++
Brachionus diversicornis--++
Brachionus quadridentatus++--
Brachionus calyciflorus+--+
Keratella procura-+-+
Keratella americana--+-
Keratella cochlearis---+
Keratella tropica-+-+
Platyias quadricornis+++-
Lecane luna---+
Lecane depressa+--+
Lepadella ovalis---+
Filinia longiseta--++
Rotaria rotatoria++++
Rotaria neptunia-+++
Monostyella sp.---+
Notomata sp.-+-+
Cladocera
Cypris flurcularia--++
Daphnia longispina+-++
Ceriodaphnia cornuta-+-+
Daphnia pulex++++
Daphnia rosea++--
Dapnia laevis-+++
Leydigia sp--++
Macrothrix sp-+++
Bosmina longirostris+--+
Trophocyclops++++
Copepods
Mesocyclops sp++-+
Megacyclops sp.++++
Encyclops speratus-++-
Cyclops varidis++++
Heliodiaptomus sp+-++
Diaptamus sp++++
Calanus finmarchicus++++
Limnocalanus-+++
Acartia tonsa-+++
Ostracods
Cypris sp++++
Stenocypris sp--++
Candona centrocypris+--+
Cypridopsis vidua+-++
Cyclocypris ovum++--

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List of Zooplanktons observed from the water samples of Darna River in Nashik District during May 2024 to October 2024↗ Enlarge
Table 3
List of Zooplanktons observed from the water samples of Darna River in Nashik District during May 2024 to October 2024

List of Zooplanktons observed from the water samples of Darna River in Nashik District during May 2024 to October 2024

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Multivariate Statistical Analysis of Physicochemical

Parameters: To statistically validate the observed spatiotemporal patterns in water quality, a Principal Component Analysis (PCA) and Multivariate Analysis of Variance (MANOVA) were performed on the physicochemical data. MANOVA results provided strong statistical evidence for significant differences in water quality parameters across stations and over time. The effect of the sampling station was highly significant (Pillai's trace = 1.416, F = 12.12, p< 0.000001), underscoring the pronounced spatial heterogeneity driven by varying degrees of anthropogenic impact. The month of sampling also had a significant, though weaker, effect (Pillai's trace = 1.172, F = 4.25, p = 0.0009), confirming the seasonal variation observed in parameters like temperature and turbidity. The PCA effectively reduced the dimensionality of the dataset, with the first two principal components (PC1 and PC2) accounting for 96.1% of the total variance (PC1: 76.3%, PC2: 19.7%). This indicates that these two components can explain almost all variability in the water quality parameters. The PCA biplot (Figure 2) clearly differentiated the sampling stations. Darna Dam and Shennit clustered on the negative side of PC1, strongly associated with higher dissolved oxygen (DO) levels and balanced pH, confirming their status as sites with better water quality. In contrast, Darna Sangavi was positioned on the positive side of PC1, strongly correlated with elevated total dissolved solids (TDS) and temperature, highlighting the stress from anthropogenic pollution. Shevge Darna was separated along PC2, which was driven by high biochemical oxygen demand (BOD) and turbidity, indicative of organic pollution.

Figure 2. PCA Biplot Illustrating the distribution of sampling location and parameters across the first two principal components
PCA Biplot Illustrating the distribution of sampling location and parameters across the first two principal components↗ Enlarge
Figure 2
PCA Biplot Illustrating the distribution of sampling location and parameters across the first two principal components

PCA Biplot Illustrating the distribution of sampling location and parameters across the first two principal components

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Conclusion

This study demonstrates a clear inverse relationship between anthropogenic pollution and the ecological integrity of the Darna River. The physicochemical and biological data conclusively identify Shevge Darna and Darna Sangavi as critically degraded zones. The zooplankton community structure proved to be a sensitive biomarker, with diversity and abundance sharply declining in response to poor water quality conditions characterized by high BOD and low DO. These findings highlight the urgent need to implement watershed management strategies, including stricter regulation of industrial discharge and public awareness campaigns regarding ritualistic waste, to mitigate further ecological degradation and protect the river's biodiversity.

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Table 4. Results of the Multivariate Analysis of Variance
—DFPillaiApprox FNo denDFp-value
Station31.416112.124963030 6.857e-07
Month51.17214.247510300.0009851
Residual15

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Results of the Multivariate Analysis of Variance

Results of the Multivariate Analysis of Variance

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