Int J Adv Life Sci Res, Vol 1, Issue 3Research Article


Seasonal variation of different groups of zooplankton of a wetland in relation to some abiotic factors

Subhendu Bikash Patra

Assistant Professor in Zoology,

Brahmananda Keshab Chandra College, Kolkata, India

Correspondence E-mail : subhendubp@gmail.com

Abstract

The zooplankton community of the wetland was represented by Protozoa, Rotifera, Cladocera and Copepoda. The Protozoan population includes ciliates and flagellates and the maximum and minimum abundance were 223 and 2 ind./lit respectively. Rotifers, the largest group were represented by a minimum of 9 ind./lit and a maximum of 1425 ind./lit. Copepods, the second largest group, comprised a minimum of 1 ind./lit and a maximum of 708 ind./lit. The other group Cladocerans was found to be in lower profile which showed no definite pattern of their seasonal variation. In this wetland water temperature (WT) varied from 19.75ºc to 34ºc, transparency (TRN) from 31.3 to 82.5 cm, pH from 6.5 to 8.4, dissolved oxygen (DO) ranged from 1.3 to 10.6 mg/lit, total alkalinity (TA) from 62 to 76mg/lit, free CO2 from 5 to 30 mg/lit and biological oxygen demand (BOD) from 1.2 to 10.2 mg/lit. Although seasonal variation of zooplankton community is largely governed by abiotic factors, but pH exerted considerable influence.

Keywords: Zooplankton, Seasonal variation, Wetland, Abiotic factors.

Introduction

It is well known that wetlands are the most productive ecosystems where in various physicochemical parameters of water play a vital role in influencing the life cycle of flora and fauna present in the ecosystem. Zooplankton occupies an important position in the food chain and referred to as primary consumer and plays a key role in the transfer of both energy and nutrients to the higher trophic levels. Zooplankton of Indian inland water bodies is mainly comprises of five groups i.e Protozoa, Rotifera, Cladocera, Copepoda and Ostracoda. Among the above mentioned groups Protozoa, Rotifera, Cladocera and Copepoda are the major group take part in the formation of total Zooplankton population. Protozoa generally form a minor position in the zooplankton population.

The living organisms and their nonliving environment are inseparably linked and they interact with one another continuously. It is therefore obvious that various physicochemical factors largely regulate the entire dynamics as well as homeostasis of an ecosystem. According to Hutchinson (1941) all the physical, chemical and biological processes have an interrelationship both temporally and specially. Probably Prasad (1916) was the first to study the limnological characters of fresh water pond in India. Subsequently, several workers studied water bodies from limnological view point (Banik, 1995, Michael and Sharma, 1998, Biswas and Konar, 2000, Singh et al., 2001, Banik. 2002, Sunkad. and Patil. 2004, Kumar and Tripathi, 2004, Aswathi and Tiwari, 2004). A satisfactory understanding of the ecological process in an aquatic system requires a thorough knowledge not only of the organisms but also of the environmental factors. The present paper portrays the role of abiotic factors on the seasonal variation of different groups of zooplankton.

Materials and Methods

The chosen wetland is a rain fed one and situated by the side of Nazrul Mancha at Golpark, Kolkata, West Bengal, India (Lat 22º31´ N and Long 88º22´E). The surface area of this wetland is about 0.4 ha and the average depth is 3 meter. Half of the wetland is covered with macro vegetation like Ipomea sp, Nelumbo sp, Azolla sp, Lemna sp etc. Neither fish culture nor any other domestic use has been noticed in this wetland. Surface water samples and zooplankton were collected weekly for one year, between 9am and 10 am. The data are represented as monthly mean. For the physicochemical analysis of water, standard methods of APHA (1995) were followed. The zooplankton was collected with a plankton net made up of bolting silk no. 25 and their quantification was done according to Welch (1948).

Results

During the entire study period WT varied from 19.75ºc to 34ºc and showed its maxima in May (Table1).On the other hand, TRN ranged from 31.3 to 82.5 cm and showed its highest value in January(Table1). The pH ranged from slightly acidic (6.5) to alkaline (8.43) with high value in March (Table1). DO content varied from 1.3 to 10.6 mg/lit and showed its maximum value in March. (Table1). TA ranged from 62 to 76 mg/lit with high values in August (Table1). BOD varied from 2.00 to 6.67 mg/lit and its maximum value was in September (Table1).

In this wetland total zooplankton showed three peaks during study. The highest peak (1823 ind./lit.) was in April and other two small peaks were in July (181 ind./lit.) and November (282 ind./lit.) (Table 2). In this study Zooplankton exhibits a positive correlation with pH (p<0.01) (Table 3).

Protozoan population occurred in the wetland without showing any precise trend of oscillation. During the study highest value was noted in April. The total number of Protozoan was at its peak during April (223 ind./lit.) and the other small peak in September (18ind./lit.) (Table 2). In this wetland protozoan has shown significant and positive correlation with DO (p<0.01), pH (p<0.01), transparency (p<0.01) (Table 3).

Table: 1. Monthly variations of physicochemical parameters (mg/lit).

Month WT TRN pH DO TA CO2 BOD
Jan 19.75 82.50 6.93 3.60 69.00 9.00 5.24
Feb 23.25 74.00 7.60 10.20 69.00 8.00 4.60
Mar 30.50 63.25 8.43 10.60 71.00 5.00 3.80
Apr 29.00 53.50 8.13 8.60 66.00 16.80 3.40
May 34.00 40.50 7.80 7.40 66.00 5.80 3.20
Jun 33.00 38.30 7.35 8.20 60.00 8.00 3.40
July 30.50 34.00 7.08 6.20 69.00 8.50 2.94
Aug 30.00 31.30 6.50 2.40 76.00 12.00 3.33
Sept 29.50 37.00 6.63 1.30 68.00 15.00 6.67
Oct 28.00 45.60 6.65 2.00 62.00 18.00 4.67
Nov 26.00 52.30 6.69 2.80 66.00 18.00 2.00
Dec 23.00 61.40 6.75 2.60 69.00 30.00 2.00

In the present investigation Rotifers contributed the largest group and showed three peaks, one in Summer (April-1425ind./lit.) and the other two in Monsoon (August-90ind./lit.) and Post monsoon (October-61ind./lit) (Table 2). From the simple correlation analysis it is found that rotifers shows positive correlation with pH (p<0.01) (Table 3).

Total copepods showed wide fluctuation throughout the study and their abundance is marked by many sharp long peaks and troughs. During study dominance of this group was recorded in summer and winter season. During study this group showed significant and positive correlation with pH (p<0.05) (Tab-3), but inverse correlation with transparency though not significant.

Cladocera, the another zooplankton group were in lower profile during study and as such no definite pattern of their variation was observed. Highest abundance during study was noticed in late winter. During study it showed positive correlation with pH though not significant.

Month Protozoa Rotifera Copepoda Cladocera Zooplankton
Jan 40 97 77 02 216
Feb 68 24 272 95 459
Mar 124 419 708 00 1251
Apr 223 1425 165 10 1823
May 21 109 103 02 235
Jun 02 16 28 02 48
July 05 65 103 08 181
Aug 03 90 53 02 148
Sept 18 22 34 02 76
Oct 06 61 01 00 68
Nov 09 14 256 03 282
Dec 15 09 183 07 214
Total 534 2351 1983 133 5003

Table 2. Monthly numerical abundance of different groups of zooplankton (ind./lit).

In this present observation Rotifera comprises 46%, Copepoda comprises 39%, Protozoa contribute 11% and Cladocera only 3% to the formation of total Zooplankton community. (Fig.1)

Fig.1. % Composition of different groups of zooplankton.

Table 3. Simple correlation co-efficient (r) between physicochemical Parameters and different

Groups of zooplankton.

Parameter Protozoa Rotifera Cladocera Copepoda Zooplankton
WT -0.245 0.196 -0.166 0.056 0.102
TRN 0.472* 0.009 0.303 0.306 0.221
pH 0.524** 0.448* 0.193 0.459* 0.561**
TA 0.124 -0.081 -0.122 -0.063 -0.067
DO 0.616** 0.188 0.322 0.359 0.376
CO2 -0.1525 0.0874 -0.1145 -0.1329 -0.0298
BOD -0.009 -0.201 -0.205 -0.323 -0.277

*p<0.05; **p<0.01

Discussion

The present paper has been envisaged to elucidate and interpret the variations as well as the interaction of the physico- chemical parameters of water. This is especially important from the ecological view points because physicochemical parameters as ecological indices give a picture of the water quality, a resultant of the geo-physicochemical and biological nexus and its further implications on the overall limnological status of the water body and also the water chemistry have been found to be better predictor of planktonic biomass and productivity than other biotic data (Paloheimo and Fulthrop, 1987).

Under the regime of good climatic condition of West Bengal, India the water temperature in the present study was found always below 350c and above 190c (Tab-1). Therefore, such a seasonal variation in water temperature very well coincides with the optimum temperature range favourable for healthy growth of most aquatic organisms. Transparency is an effective indicator of the measurement of productivity (Chapman, 1992). In the present study less transparency was noticed in summer which may be attributed to the increase in the phytoplankton population. During the study positive and significant correlation between pH and transparency is in agreement with the views of Schofiels(1972) and Schindler (1980) who opined acidification increases transparency of natural water.

According to Goldman and Horne, 1983, Chapman, 1992, pH of water provides an index of general chemical environmental condition and productivity status of an aquatic ecosystem. In the present study decrease in pH in monsoon and post monsoon may be attributing to resulting in formation of carbonic acid (H2CO3) which after dissociating into H+ and HCO3- ions displays acidic characteristics (Khan and Chowdhury, 1994). During study the higher values of pH were recorded mainly in summer months. This summer maxima of pH possibly result from increased photosynthesis utilizing free CO2 present in water (Goldman, 1972). According to Chapman, 1992, natural water mostly has pH from 6 to 8.5. In the present study also pH ranges from 6.5 to 8.43 i.e from slightly acidic to alkaline (Tab-1). In the present study pH shows inverse and significant correlation with CO2. It was also observed by Golterman et. al. (1978). The removal of CO2 during photodynthesis is always coupled with the production of oxygen and increase of pH has explained the positive correlation between pH and dissolved oxygen during study (Table 3). In this wetland pH has a positive correlation with alkalinity which corroborates the findings of Wetzel (1983).During the study Dissolved oxygen (DO) varies from 1.3 to 10.6 mg/lit. Self purification of any wetland is a direct function of the dissolved oxygen concentration in its water. The dissolved oxygen content of water is the result of both photosynthetic as well as decomposition of organic matter and wind action (Ellis et al. (1946). In the present studied wetland aquatic macrophytes perhaps play a significant role. According to Kemp and Murray (1986) oxygen release from submerged aquatic macrophytes influence the oxygen concentration of water.

Free oxygen experienced wide fluctuations during study and no definite trend has been observed (Table 1). In the present studied wetland it is high perhaps due to presence of macrovegetation. Increase of free CO2 content in the natural waters take place following respiratory activities which get reduced due to photosynthesis (Sreenivasan, 1967). Higher levels of free CO2 in post monsoon month may be attributed to its influx through rain water in the form of carbonic acid (Mansoori et al. 1995) and lower level during summer (Table 1) might be due to high photosynthetic activity using free CO2 (Yousuf et al.,1986). In the winter months higher value of free CO2 is probably due to low photosynthetic activity and higher rate of Zooplankton productivity (Jackson, 1970). The oxygen and carbon di oxide are reciprocal to each other in the ecosystem. The oxygen content is closely linked with carbon di oxide cycle and higher values of free CO2 generally coincided with minimum DO content as also mentioned by Sarkar and Krishnamoorti (1979). In the present study also follow the above contention.

Alkalinity used as tool for the measurement of productivity of water bodies. In the present course of study maximum value was noted in winter and post winter months and minimum value was obtained in monsoon. The minimum value in monsoon months may be due to neutralization of carbonic acid.

According to young (1984) Biological Oxygen Demand (BOD) gives an indication of bacterial population and availability of organic biodegradable substances. During study higher BOD value was noticed in post monsoon period. This is perhaps due to higher load of organic matter by surface run off during monsoon and higher bacterial activity.

Lake water sparkling in sunlight hides a miniscule waterscape is closer to a slum than a paradise. It contains millions of organisms present in every litre of water. Organisms that passively drift maintained in suspension by water current or float or swim comprise the plankton which also include the free swimming Zooplankton. In the present investigation four groups of Zooplankton (i.e Protozoa, rotifera, cladocera, copepoda) have been identified. This four groups of zooplankton also been reported by Pushpendra and Madhyastha (1994) in fresh water ponds. In the present study altogether 57 species of Rotifera, 13 of Cladocera, 5 of Copepoda were found. From the present observation it appears that the fresh water body of Indian subcontinent have more species probably due to congenial habitat and effectiveness of limiting factor which regulate the occurrence and abundance of planktonic forms. It is relevant to mention that Nasar (1977), George(1966) also recorded similar type of species composition during their study.

In the present study the abundance of total Zooplankton in the wetland showed many variations in different season. In the present study higher abundance was observed in summer and a small peak in winter was also noticed, which corroborates with the study of George (1966). Zooplankton is considered as one of the most important linkage in aquatic food chain and shows continuous seasonal variation which is influenced by different physicochemical factors. From the present study, based on seasonal observation, it is apparent that the Zooplankton community as a whole has a tendency to show their peaks in different season of the year. In the present study the influence of several physicochemical factors on the occurrence and abundance of total population was also noticed. The simple correlation coefficient(r) values between the abundance of total zooplankton and the physicochemical parameters show that the total zooplankton exhibited significant and positive correlation with pH (p<0.01).

It is generally believed that temperature is one of the most important factors in ecosystem in controlling both the total quality and species composition of zooplankton but it cannot be the only important variable.

Protozoan population occurred in the wetland without showing any precise trend of oscillation. During the study highest value was noted in April. The total number of Protozoan was at its peak during April (223 ind./lit.) and the other small peak in September (18ind./lit.). According to Michael (1969) it may be stated that the nature and the amount of available food is the controlling factor in the distribution of fresh water Protozoan. In this wetland protozoan has shown significant and positive correlation with DO (p<0.01), pH (p<0.01), transparency (p<0.01) (Tab-3). It is well known that pH and oxygen content of water are mainly regulated by photosynthesis and respiration in fresh water system. Pennak (1978) is of the opinion that the great majority of protozoa have optimum conditions in slightly acidic to alkaline waters (pH 6.5-8). During the present investigation similar type of water quality was observed showing significant and positive correlation between pH and protozoa.

The rotifers are almost universally present in fresh water habitat and constitute an important component of zoobiota. Like many other, in the present investigation Rotifers contributed the largest group and showed three peaks, one in Summer (April-1425ind./lit.) and the other two in Monsoon (August-90ind./lit.) and Post monsoon (October-61ind./lit) (Tab-2). So the fluctuation pattern of the total community was influence mainly by this group. It may be mentioned that according to Reid and Wood (1976) rotifers never follow any predictable pattern in fresh water impoundment. From the simple correlation analysis it is found that rotifers shows positive correlation with pH (p<0.05). This type of observation was also observed by Venkhede and Kulkarni(1984).

Total copepods showed wide fluctuation throughout the study and their abundance is marked by many sharp long peaks and troughs. During study dominance of this group was recorded in summer and winter season. During study this group showed significant and positive correlation with pH (p<0.05) but inverse correlation with transparency though not significant.

Cladocera, the another zooplankton group were in lower profile during study and as such no definite pattern of their variation was observed. Highest abundance during study was noticed in late winter, which is also supported by the study of Prasadam (1977). During study it showed positive correlation with pH though not significant.

Conclusion

Generally in natural waters, an approximate biological equilibrium exists, although abundance of zooplankton varies from season to season. The growth of zooplankton is directly or indirectly influenced by the seasonal variation in the complexes of various abiotic factors. The annual changes in the community of zooplankton depend on the succession of its component species. Some plankton species increase slowly and more or less uniformly reaching to the maximum while others showed an almost starting burst of development rising from minimal population to a numerical dominance over the whole plankton within a very short period of time. Such variations are mostly related to abiotic factors.

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Abbreviation used:

WT- Water Temperature; TRN- Transparency; DO- Dissolved Oxygen; TA-Total Alkalinity; BOD- Biological Oxygen Demand; CO2- Carbon di oxide