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Day time variations of zooplankton species composition: observations from the wetlands of Assam, India

Variações diurnas da composição das espécies de zooplâncton: observações das áreas úmidas de Assam, Índia

Abstract:

Aim

An attempt to justify the variations in the species composition of zooplankton over the day time period was made using the freshwater lakes of Assam, India, as a model study area.

Methods

The water bodies were sampled using a conical plankton net five times between 6 am and 6 pm in a day during July 2014. Apart from diversity analysis (SHE analysis), discriminant function analysis and a regression tree were built to justify the variations in the zooplankton species composition in the different time periods in a day.

Results

Repeated sampling during day time indicated the presence of 34 zooplankton species with varied composition over the different time periods. The species richness and abundance of Copepoda, Cladocera and Rotifer differed significantly revealed through the ANOVA (for rotifers – F4, 170 = 28.792; for cladocerans – F4, 170 = 16.343; for copepods - F4, 170 = 9.027). Apparently, the rotifer and copepod abundance was prominent during the early (6am) and late time (6pm) periods of a day while the cladoceran abundance was significant during the middle time periods (12 noon to 3pm) of a day. Variations in the relative abundance of the zooplankton species within a day were sufficient to discriminate the time periods significantly. The regression tree indicated the rotifer abundance (node 1), followed by the cladoceran and the copepod abundances (node 2). The nodes representing cladocerans explained 30.86% of the data while the copepod explained 69.14% data as a split from the rotifer groups.

Conclusions

A correspondence of high and low abundances of rotifers and cladocerans was characteristic of the species composition of the zooplankton in the study area. The variations in the species composition suggests that the zooplankton exhibits movements either in horizontal or vertical directions induced by physical and/or biological factors. Further studies may be adopted to elucidate the effects of the predators and environmental variables that shape the community of the zooplankton in shallow tropical lakes.

Keywords:
day time variations; zooplankton; Copepoda; Rotifera; Cladocera

Resumo:

Objetivo

Um esforço para esclarecer as variações na composição de espécies de zooplâncton ao longo do dia foi feita utilizando lagos de água doce do Nordeste da Índia, em Assam, como área de estudo modelo.

Métodos

Os corpos de água foram amostrados com uma rede de plâncton cônica cinco vezes, entre 6h e 18h, em um dia de julho de 2014. Além da análise de diversidade (análise RHU), uma análise de função discriminante e uma árvore de regressão foram elaboradas para esclarecer as variações na composição das espécies de zooplâncton em diferentes períodos do dia.

Resultados

Amostras repetidas durante o dia indicaram a presença de 34 espécies de zooplâncton, com composição variada, ao longo dos diferentes períodos de tempo. A riqueza e abundância de espécies de copépodes, cladóceros e rotíferos diferiram significativamente, como demonstrado pela ANOVA (para rotíferos - F4, 170 = 28.792; para cladóceros - F4, 170 = 16.343; para copépodes - F4, 170 = 9.027). A abundância de rotíferos e copépodes foi maior nos períodos inicial (6h) e final (18h) do dia, enquanto a abundância de cladóceros foi significativa nos períodos intermediários (12h às 15h). As variações na abundância relativa das espécies de zooplâncton durante o dia foram suficientes para discriminar os períodos de tempo significativamente. A árvore de regressão indicou a abundância de rotíferos (nó 1), seguida pelas abundâncias de cladóceros e copépodes (nó 2). Os nós representando os cladóceros explicaram 30,86% dos dados, enquanto o de copépodos explicou 69,14% dos dados como uma divisão dos grupos de rotíferos.

Conclusões

Uma correspondência de altas e baixas abundâncias de rotíferos e cladóceros foi uma característica da composição de espécies do zooplâncton na área de estudo. As variações na composição das espécies sugerem que o zooplâncton exibe movimentos tanto horizontais como verticais, induzidos por fatores físicos e/ou biológicos. Estudos adicionais são necessários para elucidar os efeitos de predadores e variáveis ambientais que moldam a comunidade do zooplâncton em lagos tropicais rasos.

Palavras-chave:
variações diurnas; zooplâncton; Copepoda; Rotifera; Cladocera

1. Introduction

The spatial distribution of freshwater zooplankton varies with the time in a day, owing to the movements in the vertical or the horizontal plane (Doulka & Kehayias 2008DOULKA, E. and KEHAYIAS, G. Spatial and temporal distribution of zooplankton in Lake Trichonis, Greece.Journal of Natural History, 2008, 42(5-8), 575-595. http://dx.doi.org/10.1080/00222930701835555.
http://dx.doi.org/10.1080/00222930701835...
). Observations suggest that this process is repeated over time and qualify as a diel periodicity or rhythm. As a consequence of the phenomenal movement of zooplankton, the species composition varies at a particular space, with consistency of repeated patterns in short as well as long time scales (Burns & Mitchell 1980BURNS, C.W. and MITCHELL, S.F. Seasonal succession and vertical distribution of zooplankton in Lake Hayes and Lake Johnson.New Zealand Journal of Marine and Freshwater Research, 1980, 14(2), 189-204. http://dx.doi.org/10.1080/00288330.1980.9515860.
http://dx.doi.org/10.1080/00288330.1980....
). Several hypotheses have been suggested to explain the diel variations in the composition of the zooplankton species in lakes and ponds (Burks et al., 2002BURKS, R.L., LODGE, D.M., JEPPESEN, E. and LAURIDSEN, T.L. Diel horizontal migration of zooplankton: costs and benefits of inhabiting the littoral.Freshwater Biology, 2002, 47(3), 343-365. http://dx.doi.org/10.1046/j.1365-2427.2002.00824.x.
http://dx.doi.org/10.1046/j.1365-2427.20...
; Hays, 2003HAYS, G.C. A review of the adaptive significance and ecosystem consequences of zooplankton diel vertical migrations.Hydrobiologia, 2003, 503(1-3), 163-170. http://dx.doi.org/10.1023/B:HYDR.0000008476.23617.b0.
http://dx.doi.org/10.1023/B:HYDR.0000008...
; Perticarrari et al., 2003PERTICARRARI, A., ARCIFA, M.S. and RODRIGUEZ, R.A. Diel vertical migration of cladocerans in a tropical lake.Nauplius, 2003, 11(1), 15-25.). Predator induced shifts in the spatial occupancy of the zooplankton species is considered as an important reason for the diel movement (George & Fernando, 1970GEORGE, M.G. and FERNANDO, C.H. Diurnal migration in three species of rotifers in sunfish lake, Ontario.Limnology and Oceanography, 1970, 15(2), 218-223. http://dx.doi.org/10.4319/lo.1970.15.2.0218.
http://dx.doi.org/10.4319/lo.1970.15.2.0...
; Braghin et al., 2016BRAGHIN, L.D.S.M., SIMÕES, N.R. and BONECKER, C.C. Hierarchical effects of local factors on zooplankton species diversity.Inland Waters, 2016, 6(4), 645-654. http://dx.doi.org/10.1080/IW-6.4.919.
http://dx.doi.org/10.1080/IW-6.4.919...
). Water circulation induced changes in the micronutrient availability and environmental factors like anoxia are also considered as probable reason for the movement of the zooplankton in the freshwater bodies (George & Heaney 1978GEORGE, D.G. and HEANEY, S.I. Factors influencing the spatial distribution of phytoplankton in a small productive lake.Journal of Ecology, 1978, 66(1), 133-155. http://dx.doi.org/10.2307/2259185.
http://dx.doi.org/10.2307/2259185...
; Lampert 2005LAMPERT, W. Vertical distribution of zooplankton: density dependence and evidence and evidence for an ideal free distribution with costs.BMC Biology, 2005, 10, 3-10. PMid:15813974.).The regulatory factors influencing the movements of the zooplankton vary with the dimensions of the freshwater bodies (Siegfried et al., 1996SIEGFRIED, C., AUER, N.A. and EFFLER, S.W. Changes in the zooplankton of Onondaga Lake: Causes of implications.Lake and Reservoir Management, 1996, 12(1), 59-71. http://dx.doi.org/10.1080/07438149609353997.
http://dx.doi.org/10.1080/07438149609353...
; Miron et al., 2014MIRON, M.I.B.D., CASTELLANOS-PÁEZ, M.E., GARZA-MOURIÑO, G., FERRARA-GUERRERO, M.J. and PAGANO, M. Spatiotemporal variations of zooplankton community in a shallow tropical brackish lagoon (Sontecomapan, Veracruz, Mexico).Zoological Studies (Taipei, Taiwan), 2014, 53, 59.). In deep lakes, the vertical movements in course of day and season are more profound, while in shallow lakes the horizontal movements are more prominent (Burks et al., 2002BURKS, R.L., LODGE, D.M., JEPPESEN, E. and LAURIDSEN, T.L. Diel horizontal migration of zooplankton: costs and benefits of inhabiting the littoral.Freshwater Biology, 2002, 47(3), 343-365. http://dx.doi.org/10.1046/j.1365-2427.2002.00824.x.
http://dx.doi.org/10.1046/j.1365-2427.20...
; Altindag et al., 2007ALTINDAG, A., YIGIT, S. and ERGONOL, M.B. The zooplankton community of Lake Mogan, Turkey.Journal of Freshwater Ecology, 2007, 22(4), 709-711. http://dx.doi.org/10.1080/02705060.2007.9664832.
http://dx.doi.org/10.1080/02705060.2007....
; Rabindranath et al., 2010RABINDRANATH, A., DAASE, M., FALK-PETERSEN, S., WOLD, A., WALLACE, M.I., BERGE, J. and BRIERLEY, A.S. Seasonal and diel vertical migration of zooplankton in the High Arctic during the autumn midnight sun of 2008.Marine Biodiversity, 2010, 41(3), 365-382. http://dx.doi.org/10.1007/s12526-010-0067-7.
http://dx.doi.org/10.1007/s12526-010-006...
). Nonetheless, irrespective of the spatial dimension and the causative factors, the movements of the zooplanktons within the space are observed for almost all lentic systems, reflecting the mechanism to be an adaptive feature of the zooplankton.

Movement of the zooplankton within a fixed space may be rhythmic following a daily light cycle, the nutrient availability, predation pressure or a combination of both, as well as hypolimnetic anoxia caused by lake stratification, temperature which may lead to corresponding changes in the species composition (Burks et al., 2002BURKS, R.L., LODGE, D.M., JEPPESEN, E. and LAURIDSEN, T.L. Diel horizontal migration of zooplankton: costs and benefits of inhabiting the littoral.Freshwater Biology, 2002, 47(3), 343-365. http://dx.doi.org/10.1046/j.1365-2427.2002.00824.x.
http://dx.doi.org/10.1046/j.1365-2427.20...
; Arcifa et al., 2013ARCIFA, M.S., BUNIOTO, T.C., PERTICARRARI, A. and MINTO, W.J. Diel horizontal distribution of microcrustaceans and predators throughout a year in a shallow neotropical lake.Brazilian Journal of Biology = RevistaBrasileira de Biologia, 2013, 73(1), 103-114. http://dx.doi.org/10.1590/S1519-69842013000100012. PMid:23644793.
http://dx.doi.org/10.1590/S1519-69842013...
). The pattern of changes in the zooplankton species composition can induce correlated changes in the macroinvertebrate predator and fish species composition in the same space. The coupled changes in the species composition of the zooplankton and the predators in space within short time scale bear implications in the dynamic nature of community structure and species interactions. A shift in the spatial occupancy of the prey and predator is also influenced by the habitat heterogeneity caused by the macrophytes, which is more pronounced for the littoral zone than in the pelagic zone of lakes and ponds (Evans, 1997EVANS, J.H. Spatial and seasonal succession and vertical distribution of phytoplankton in an African rift valley lake (L. Albert, Uganda, Zaire).Hydrobiologia, 1997, 354(1/3), 1-16. http://dx.doi.org/10.1023/A:1003026415788.
http://dx.doi.org/10.1023/A:100302641578...
). The changes in the species composition and the assemblage pattern can be traced through repeated estimates of the zooplankton against a fixed space. Although, using longer time scale, the diel variations of zooplankton can be assessed on a seasonal basis, the short time scale observations provide the general observations on the pattern of changes particularly for the smaller water bodies (Burns and Mitchell, 1980BURNS, C.W. and MITCHELL, S.F. Seasonal succession and vertical distribution of zooplankton in Lake Hayes and Lake Johnson.New Zealand Journal of Marine and Freshwater Research, 1980, 14(2), 189-204. http://dx.doi.org/10.1080/00288330.1980.9515860.
http://dx.doi.org/10.1080/00288330.1980....
; Dutta et al., 2009DUTTA, T.K., PAHARI, P.R. and BHATTACHARYA, T. Diel variation and the effect of starvation on Amylase activity of Heliodiaptomus cinctus (Gurney), (Crustacea: Copepoda: Calanoida).Biological Rhythm Research, 2009, 40(3), 249-255. http://dx.doi.org/10.1080/09291010802402196.
http://dx.doi.org/10.1080/09291010802402...
).

In Indian context, studies on the zooplankton diversity of rivers, lakes and ponds have been carried out to support (Sharma et al., 2017SHARMA, A.S., GUPTA, S. and SINGH, N.R. Zooplankton community of Keibul Lamjao National Park (KLNP) Manipur, India in relation to the physico-chemical variables of the water.Chinese Journal of Oceanology and Limnology, 2017, 35(3), 469-480. http://dx.doi.org/10.1007/s00343-017-5341-0.
http://dx.doi.org/10.1007/s00343-017-534...
) the information on the productivity and monitoring the environmental condition. Exploration of the species composition of zooplankton enabled aquaculture management for the lakes and ponds in different regions within India. However, little effort has been made to portray the diel movements leading to changes in the zooplankton species composition over shorter-time scale. Considering the relevance of the zooplankton in environmental monitoring and aquaculture, the present study was aimed at characterizing the zooplankton assemblages of selected lakes and ponds of Assam, a representative state of Northeast India. Empirical evidences indicate considerable diversity of zooplankton, particularly cladocerans and rotifers in the floodplain lakes of the concerned geographical area, though the diel variations of the zooplankton assemblages remain to be characterized yet. Many of the shallow water lakes and ponds in Assam and adjacent states are exploited both for capture fisheries and aquaculture resources, representing the significance of these water bodies for food security and livelihood. Characterizing the zooplankton species assemblages over the short time period will highlight the pattern of the community structure and provide qualitative information on the use of the zooplankton in environmental monitoring and aquaculture management. The results will be useful in understanding the spatial scale abundance of the different groups of zooplankton and predict the possible movements of the consumer taxa of the concerned community. The diel pattern may provide insights of the spatial distribution and prospective feeding behavior of the fish and other macroinvertebrates of commercial importance.

2. Material and Methods

The study was conducted in the month of July 2014 coinciding with the monsoon of the geographical area concerned. The study sites are five different freshwater wetlands namely MahisaBeel, Mandir Dighi, RamnagarAnua, SrikonaBeel and TapangHaor in the state of Assam, India. MahisaBeel is a freshwater wetland in Cachar district, Assam (Figure 1). An overview of the wetlands is provided in Table 1. The collection of plankton samples was done by using 125 µm mesh size conical plankton net having a diameter of 30 cm. The mesh size was estimated by following the repeated count of the number of holes found in a linear inch of the sampling net. A portion of sampling net was placed under binocular microscope and the number of the holes per inch was counted followed by calculation of the mesh size in terms of microns which was 125 µm (Nash, 1997NASH, R.A. A relationship between screen opening and mesh size for standard sieves.Pharmaceutical Development and Technology, 1997, 2(2), 185-186. http://dx.doi.org/10.3109/10837459709022624. PMid:9552445.
http://dx.doi.org/10.3109/10837459709022...
; Riccardi, 2010RICCARDI, N. Selectivity of plankton nets over mesozooplankton taxa: implications for abundance, biomass and diversity estimation.Journal of Limnology, 2010, 69(2), 287-296. http://dx.doi.org/10.4081/jlimnol.2010.287.
http://dx.doi.org/10.4081/jlimnol.2010.2...
; Mack et al., 2012MACK, H.R., CONROY, J.D., BLOCKSOM, K.A., STEIN, R.A. and LUDSIN, S.A. A comparative analysis of zooplankton field collection and sample enumeration methods.Limnology and Oceanography, Methods, 2012, 10(1), 41-53. http://dx.doi.org/10.4319/lom.2012.10.41.
http://dx.doi.org/10.4319/lom.2012.10.41...
; Pansera et al., 2014PANSERA, M., GRANATA, A., GUGLIELMO, L., MINUTOLI, R., ZAGAMI, G. and BRUGNANO, C. How does mesh mesh-size selection reshape the description of zooplankton community structure in coastal lakes?Estuarine, Coastal and Shelf Science, 2014, 151, 221-235. http://dx.doi.org/10.1016/j.ecss.2014.10.015.
http://dx.doi.org/10.1016/j.ecss.2014.10...
).

Figure 1
Map of Barak valley, Assam, India, showing the sampling sites.
Table 1
The experimental design followed in the study to decipher the diurnal variation of zooplankton diversity of freshwater bodies of Barak valley, Silchar, Assam, India. In all the wetlands, all the types of macrophytes were present with species specific variations. Among the macroinvertebrates, the snails were equally common as that of the zooplankton and insects.

Sampling was performed for collection of zooplankton in the five different sites at fixed time intervals viz., 6:00 am, 9:00 am, 12 noon, 3:00 pm and 6:00 pm, for a month of July 2014 following the standard methods (Edmondson, 1959EDMONDSON, W.T. Freshwater biology. 2nd ed. New York: John Wiley & Sons, 1959.; Michael & Sharma, 1988MICHAEL, R.G. and SHARMA, B.K. Indian Cladocera (Crustacea: Branchiopoda: Cladocera).Kolkata: Zoological Survey of India, 1988. Fauna of India and adjacent countries series.; APHA, 2005AMERICAN PUBLIC HEALTH ASSOCIATION – APHA. Standard methods for the examination of water and wastewater. 20th ed. Washington: APHA/AWWA, 2005.). In each sampling instance, the plankton net fitted with a long nylon thread was thrown within a range of 1 m2 area and pulled horizontally along an average depth of 20 cm. Owing to the shallow nature of the water bodies, vertical depth could not be considered for sampling. At least six pulls were considered to include the heterogeneity of the zooplankton in the samples. The collected zooplankton were filtered and subsequently transferred into sample tube (Tarsons* 100 mL) and fixed in Lugol’s solution for further study. After collection and fixation, the zooplankton species in the samples were estimated using the Sedgwick-Rafter counting chamber under a light microscope with required magnification (X 10 initially, followed by X 40) for identification (Edmondson, 1959EDMONDSON, W.T. Freshwater biology. 2nd ed. New York: John Wiley & Sons, 1959.; Battish, 1992BATTISH, S.K. Freshwater Zooplankton of India.New Delhi: Oxford & IBH Publishing Co. Pvt. Ltd, 1992.; Sharma & Sharma, 2008SHARMA, S. and SHARMA, B.K. Zooplankton diversity in floodplain lakes of Assam. Records of Zoological Survey of India. Kolkata: The Director, Zoological Survey of India, 2008, pp. 1-307. Occasional paper, no 290.). Following identification and record of the data from five different shallow water bodies on seven different days within the month of July 2014, the data were subjected to statistical analyses to highlight the species specific and group specific relative abundance of the zooplankton.

2.1. Data analysis

The data on the different zooplankton species collected during the specific time period were subjected to diversity index analysis to portray the differences in the richness and abundance of the species over the time period in a day (Legendre & Legendre, 1998LEGENDRE, P. and LEGENDRE, L. Numerical ecology. 2nd ed. The Netherlands: Elsevier, 1998.; Zar, 1999ZAR, J.H. Biostatistical analysis.4th ed. New Delhi, India: Pearson Education Singapore Pte. Ltd, 1999.; De’ath & Fabricius 2000DE’ATH, G. and FABRICIUS, K.E. Classification and regression trees: A powerful yet simple technique for ecological data analysis.Ecology, 2000, 81(11), 3178-3192. http://dx.doi.org/10.1890/0012-9658(2000)081[3178:CARTAP]2.0.CO;2.
http://dx.doi.org/10.1890/0012-9658(2000...
; Pepin et al., 2015PEPIN, P., JOHNSON, C.L., HARVEY, M., CASAULT, B., CHASSE, J., COLBOURNE, E.B., GALBRAITH, P.S., HEBERT, D., LAZIN, G., MAILLET, G., PLOURDE, S. and STARR, M. A multivariate evaluation of environmental effects on zooplankton community structure in the Western North Atlantic.Progress in Oceanography, 2015, 134, 197-220. http://dx.doi.org/10.1016/j.pocean.2015.01.017.
http://dx.doi.org/10.1016/j.pocean.2015....
). The SHE (S – species richness, H – Shannon-Weiner diversity index and E – Evenness) analysis was employed to highlight the differences in the richness and abundance of the different species of zooplankton using the evenness parameter and the number of species present in the samples concerned. The time dependent variations in the relative abundance of the three groups, rotifers, cladocerans and copepods were evaluated by ANOVA. Using discriminant function analysis (DA) (Manly, 1994MANLY, B.F.J. Multivariate statistical methods: a primer.London, UK: Chapman and Hall, 1994.), the variations in the time periods of a day were portrayed with reference to the zooplankton species as explanatory variables. The purpose of DA was to portray the time periods of a day as a specific representative of the zooplankton species assemblages which is expected to differ as a consequence of the movement of different species comprising the assemblages. Further, the contribution of the three groups in the species composition of the zooplankton in the different time period was portrayed through the regression tree analysis (De’ath & Fabricius 2000DE’ATH, G. and FABRICIUS, K.E. Classification and regression trees: A powerful yet simple technique for ecological data analysis.Ecology, 2000, 81(11), 3178-3192. http://dx.doi.org/10.1890/0012-9658(2000)081[3178:CARTAP]2.0.CO;2.
http://dx.doi.org/10.1890/0012-9658(2000...
) following classification and regression tree algorithm (Addinsoft, 2010ADDINSOFT.AddinsoftSarl. XLSTAT software, version 9.0.Paris: ADDINSOFT, 2010.). The analysis was used to highlight the groups in terms of a rank based on the importance as contributor in the particular time period. Earlier application of the regression tree was made to highlight diversity the abiotic factors in explaining the species of the zooplankton in the wetlands of Upper Paraná River floodplain (Braghin et al., 2016BRAGHIN, L.D.S.M., SIMÕES, N.R. and BONECKER, C.C. Hierarchical effects of local factors on zooplankton species diversity.Inland Waters, 2016, 6(4), 645-654. http://dx.doi.org/10.1080/IW-6.4.919.
http://dx.doi.org/10.1080/IW-6.4.919...
). In the present instance the decision tree was constructed based on the chi-square automatic interaction detection analysis. In Chi-square automatic interaction detector (CHAID) analysis, the relationships between the dependent and the explanatory variables are portrayed as nodes with the splitting based on certain algorithm reflecting the rank order of importance of the explanatory variables (zooplankton groups) on the zooplankton composition in the different time periods. Thus the relative abundance of the different zooplankton groups and their contribution to the total abundance in the different time periods are being portrayed in the regression tree. Since the response variable in the present instance was categorical (time period), a chi-square test was applied to assess the least significant difference with respect to the dependent variable among each pair of predictor categories (zooplankton groups) and Bonferroni adjusted p-value was used. In the present instance the total dataset on the relative abundance of zooplankton at different time interval were split and separated at each hierarchical node and the relative contribution to the different time periods are represented through a bar diagram. The application of the regression tree was carried out to extend the observations of the discriminant function analysis (DA), such that the relative variations of the three groups of zooplankton on the total abundance in the different time periods can be portrayed.

In order to deduce the variations of the groups of zooplankton in terms of the five time periods of a day, a generalized linear model (GLM) was assumed with the sites and time as explanatory variables. Assuming GLM, the data on the relative abundance of the three different groups, Rotifera, Cladocera, and Copepoda were subjected to regression following binomial GLM with logit link using the sites and specific time periods as predictors. The response variable was considered to be the proportion of each group, which was assumed to follow binomial (n,p) distribution with n observations (samples in each time period of observation) for each combination of the explanatory variables (Sites and time period). The probability parameter p is here a linear combination of the explanatory variables. In the present analysis, the parameters were estimated through maximum likelihood with logit link, using the software XLSTAT (ADDINSOFT, 2010ADDINSOFT.AddinsoftSarl. XLSTAT software, version 9.0.Paris: ADDINSOFT, 2010.). A Chi-square value was used to deduce the significance of the estimated parameters of the model.

3. Results

In course of repeated sampling during the study period a total of 34 species of zooplankton were observed, with highest representation of Rotifera (17 species), followed by Cladocera (13 species and Copepoda (4 species). The relative abundance of the representative species varied with the time period, with similar patterns being exhibited by the rotifers, the cladocerans and copepods (Table 2), in terms of the relative abundance in the time periods. Many of the species remained absent in the morning hours (6 am), though these were present in the later time periods. For instance, among the Rotifera, the Colurella uncinata was absent in 6 am and 3 pm but present in other time interval of the day, Rotaria neptunia was absent in 6 and 9 am but present in other time interval of the day, Pompholyx sulcata and Polyarthra vulgaris were absent in 6 am, 12pm 3pm and 6 pm but present in 9 am of the day, Plationus patulus, was absent in 6 am and 12 pm whereas it was present in remaining time interval of the day, Sinantherina sp., was absent in the time period of 6 am, 9 am, 12 pm,6 pm and but was present in 3pm time period, on the other hand among cladocera Alona quadrangularis was absent in 9 am and 6 pm but present in 6am, 12 pm and 3pm of the day, the Moinodaphnia macleayi was absent in 6 am, 12pm, 3pm and 6 pm but it was only present in 9 am of the day, whereas Sida sp. was present all the time interval of the day except 6 am, Allonella sp. was absent in 12 and 3pm of the day and the Simocephalus sp. was absent in 9 am and 6 pm of the day but present in remaining interval of the day. Application of the data on the species diversity analysis (SHE analysis) reflected the variations in the richness, evenness and relative abundance pattern characteristic of the five different time periods (Figure 2). The time dependent variations in the rotifers, cladocerans and the copepods were significantly different as revealed through the ANOVA (for rotifers – F4, 170 = 28.792; for cladocerans – F4, 170 = 16.343; for copepods - F4, 170 = 9.027). The ratio of the crustacean to rotifer zooplankton was 2. 143 ± 0.153 (range 0 – 15.67), and the ratio of the cladoceran to copepod zooplankton was 1.577 ± 0.098 (range 0 – 8.143) comparable over the different time period and did not show significant variation against time (Figure 3). Using the differences in the relative abundance of the constituent zooplankton species, the five different time periods of a day could be characterized through the discriminant function analysis (Figure 4).

Table 2
Relative abundance of different zooplankton at different time period of a day observed in five different sites in Silchar, Assam, India ( a through c, the different groups of zooplankton).
Figure 2
The SHE analysis (diversity analysis S – Species richness, H – Shannon –Weiner diversity index, E – Evenness component of Shannon-Weiner diversity index) of the zooplankton community observed in the five sites of Silchar, Assam for the period of one month (July, 2014) consisting of 35 samples [(I): 6:00 am; (II): 9:00 am; (III): 12 noon; (IV): 3:00 pm; (V): 6:00 pm] for each time period of observations.LnS - natural logarithm of Species number, LnE – natural logarithm of Evenness value, and Ln(H) – natural logarithm of Shannon-Weiner diversity index.
Figure 3
Ratio between crustacean and rotifer abundance (Crust/Rot) and between cladocerans and copepods (Clad/Cop) in the different time period in the day time observed in the wetlands of Silchar, Assam, India. The results of the ANOVA are also mentioned and the F-values are not significant.
Figure 4
Biplot showing the ordination of the taxa of rotifers, cladocerans and the copepods used as the explanatory variables in the discriminant function analysis for justifying the differences of the five time periods viz., I (6:00am), II (9:00 am), III (12 Noon), IV (3:00pm), and V (6:00pm). (a) The biplot representing the ordination of the 34 taxa of rotifers (open circles), claoderans (open triangle) and copepods (filled circles), as explanatory variables,(b) the biplot showing the ordination of the time periods in the day time used as response variable. The yellow circles represent the centroid of the response variables, (c) the eigenvalues and the discrimination attributable to the extracted factors, and (d) the Fisher’s distance between the different time periods. The Wilks’ lambda value was 0.168; F56, 613 = 6.368; P <0.001, justifying the application of discriminant function analysis. The Fisher’s distance in bold values are significant at P < 0.001 level.

The results indicate that the Fisher’s distance between the time period pairs were significant and the corresponding standardized canonical discriminant functions indicate the differential contributions of the zooplankton species. The ordination of the different species of zooplankton varied significantly as shown in biplot (Fig 4), as well as the different time periods of the sampling in a day. As shown in the regression tree, the hierarchical differences in the contribution of the rotifers, cladocerans and copepods in the relative abundance of the zooplankton in the different time scale was significant. The tree indicates the rotifer abundance (node 1), followed by the cladoceran and the copepod abundances (node 2) could explain the species composition in the different time periods. While the initial time periods (I and II) the dominance of the rotifers and the copepods was seen, the cladocerans were dominant in the later periods (III and IV) (Figure 5). The nodes representing cladocerans explained 30.86% of the data while the copepod explained 69.14% data as a split from the rotifer groups. Lower rotifer abundance and higher copepod abundance could explain the data of time periods of I, II and V (morning and evening time) while high rotifer and high cladoceran abundance could explain the data of time periods of III and IV (noon and afternoon time). The three groups of zooplankton, viz., Rotifera, Cladocera and Copepoda exhibited differential levels of abundance (Figure 6) and the response of the groups varied with the sites and times. As observed through the GLM analysis (using logit link binomial functions) relative abundance of the Rotifera, Cladocera and Copepoda in the zooplankton species assemblages varied significantly with the sites and the time period in a day (Table 3). The results indicate that the relative contribution of the three groups towards time specific variations in the species composition and study sites as well as with time-scale of observation. Such variations reflected the dynamic nature of the species assemblages of the zooplankton in the concerned spaces within the wetlands.

Figure 5
Regression tree showing the total abundance of the zooplankton in the five different time periods explained by the three groups, rotifers, cladocerans, and the copepods. At each node is the variable selected for the split and the threshold value for the composition of each groups. The relative frequency at each time period are shown in the bar diagrams in each of the splits. The numbers against each split represents the relative abundance followed by the number of observations and the % variations explained.[(I): 6:00 am; (II): 9:00 am; (III): 12 noon; (IV): 3:00 pm; (V): 6:00 pm] The P values were significant at P <0.001 level for each for the splits in cladoceran and copepod nodes.
Figure 6
The box plot representation of the relative abundance of the three groups of zooplankton, (a)Rotifera, (b) Cladodera and (c) Copepoda, and total species richness (d) in the five different time period of a day. The mean values are shown in filled circles with the median values splitting the boxes and the extreme values and outliers are shown in different markers outside the box. Time periods, I (6:00am), II (9:00 am), III (12 Noon), IV (3:00pm), and V (6:00pm).
Table 3
Parameters for identification of the time period and the sites as explanatory factors for the observed relative abundance of the Rotifera, Cladocera and Copepoda in the zooplankton species assemblages, following the equation: Abundance = 1/(1+ exp(- (a +b1x1+b2x2))), where x1 is site and x2 being the time period. The values in bold indicate significance at P < 0.05 level as per the Wald’s Chi-square values and the logistic regression model.

4. Discussion

The results suggest that the species composition of the zooplankton varies with time in a day and is repeated daily, reflecting diel periodicity as observed in similar freshwater and marine ecosystems (Doulka &Kehayias 2008DOULKA, E. and KEHAYIAS, G. Spatial and temporal distribution of zooplankton in Lake Trichonis, Greece.Journal of Natural History, 2008, 42(5-8), 575-595. http://dx.doi.org/10.1080/00222930701835555.
http://dx.doi.org/10.1080/00222930701835...
). In the five different time periods in a day, the observations indicate that the species composition and the richness varies with the time period considerably, though the overall ratio of the three groups of the zooplankton remains same through the time period of observations. The species richness of the zooplankton varied considerably reaching to a peak during the noon and dwindling further with time (Burns & Mitchell 1980BURNS, C.W. and MITCHELL, S.F. Seasonal succession and vertical distribution of zooplankton in Lake Hayes and Lake Johnson.New Zealand Journal of Marine and Freshwater Research, 1980, 14(2), 189-204. http://dx.doi.org/10.1080/00288330.1980.9515860.
http://dx.doi.org/10.1080/00288330.1980....
). However, the abundance of the zooplankton including the ratio of the crustacean zooplankton and the rotifers remained similar though the species richness varied considerably over the time period. The diel variations in the species composition of the zooplankton reflect the rhythmic behavioural pattern guided by the environmental factors, like sunlight and temperature as well as the presence of the predators (Doulka &Kehayias 2008DOULKA, E. and KEHAYIAS, G. Spatial and temporal distribution of zooplankton in Lake Trichonis, Greece.Journal of Natural History, 2008, 42(5-8), 575-595. http://dx.doi.org/10.1080/00222930701835555.
http://dx.doi.org/10.1080/00222930701835...
; Hansson et al., 2007HANSSON, L.-A., BECARES, E., FERNÁNDEZ-ALÁEZ, M., FERNÁNDEZ-ALÁEZ, C., KAIRESALO, T., ROSA MIRACLE, M., ROMO, S., STEPHEN, D., VAKKILAINEN, K., VAN DE BUND, W., VAN DONK, E., BALAYLA, D. and MOSS, B. Relaxed circadian rhythm in zooplankton along a latitudinal gradient.Oikos, 2007, 116(4), 585-591. http://dx.doi.org/10.1111/j.0030-1299.2007.15754.x.
http://dx.doi.org/10.1111/j.0030-1299.20...
). In the water bodies with higher depth, variation in the vertical scale is observed while for the shallow lakes of the tropical regions, variations in the horizontal scale are observed (Burks et al., 2002BURKS, R.L., LODGE, D.M., JEPPESEN, E. and LAURIDSEN, T.L. Diel horizontal migration of zooplankton: costs and benefits of inhabiting the littoral.Freshwater Biology, 2002, 47(3), 343-365. http://dx.doi.org/10.1046/j.1365-2427.2002.00824.x.
http://dx.doi.org/10.1046/j.1365-2427.20...
; Rabindranath et al., 2010RABINDRANATH, A., DAASE, M., FALK-PETERSEN, S., WOLD, A., WALLACE, M.I., BERGE, J. and BRIERLEY, A.S. Seasonal and diel vertical migration of zooplankton in the High Arctic during the autumn midnight sun of 2008.Marine Biodiversity, 2010, 41(3), 365-382. http://dx.doi.org/10.1007/s12526-010-0067-7.
http://dx.doi.org/10.1007/s12526-010-006...
). In both the instances, the role of the environmental factors including the presence of the predators is known to be crucial (George & Fernando 1970GEORGE, M.G. and FERNANDO, C.H. Diurnal migration in three species of rotifers in sunfish lake, Ontario.Limnology and Oceanography, 1970, 15(2), 218-223. http://dx.doi.org/10.4319/lo.1970.15.2.0218.
http://dx.doi.org/10.4319/lo.1970.15.2.0...
). In parity with the patterns observed in the diel variations in the zooplankton species composition, the present study also observed variations in the species richness and the relative abundance of the species of the zooplankton observed in the five different time periods in the lakes and ponds of Assam, India. The observation on the species richness and the variations in the relative abundance of the different species (Table 2 and Figure 4) reflects ample heterogeneity in the species composition of the zooplankton in the water bodies (Sharma, 2011SHARMA, B.K. Zooplankton communities of Deepor Beel (a Ramsar site), Assam (N. E. India): ecology, richness, and abundance.Tropical Ecology, 2011, 52(3), 293-302., 2014SHARMA, B.K. Rotifers (Rotifera: Eurotatoria) from wetlands of Majuli – the largest river island, the Brahmaputra river basin of upper Assam, northeast India.Check List, 2014, 10(2), 292-298. http://dx.doi.org/10.15560/10.2.292.
http://dx.doi.org/10.15560/10.2.292...
). The combinations of the rotifer and the copepod and the rotifer and the cladoceran remained significant at different time period in a day. However, the variations in the night time or during the darkness need to be judged further to understand the periodicity in the variations in the abundance of the different zooplankton species (Burns & Mitchell, 1980BURNS, C.W. and MITCHELL, S.F. Seasonal succession and vertical distribution of zooplankton in Lake Hayes and Lake Johnson.New Zealand Journal of Marine and Freshwater Research, 1980, 14(2), 189-204. http://dx.doi.org/10.1080/00288330.1980.9515860.
http://dx.doi.org/10.1080/00288330.1980....
; Dutta et al., 2009DUTTA, T.K., PAHARI, P.R. and BHATTACHARYA, T. Diel variation and the effect of starvation on Amylase activity of Heliodiaptomus cinctus (Gurney), (Crustacea: Copepoda: Calanoida).Biological Rhythm Research, 2009, 40(3), 249-255. http://dx.doi.org/10.1080/09291010802402196.
http://dx.doi.org/10.1080/09291010802402...
). Perhaps, the orientation of the zooplankton in space is related to the relative vulnerability to the predators or to the environmental factors that shape the community on the whole.

The movement of the zooplanktons results in changes in the species composition at a spatial scale. In general, the movements of the zooplankton follow either vertical or horizontal planes. Various factors account for the movements of the zooplankton including predation pressure, resource availability and the overall habitat quality (Jana, 1998JANA, B.B. State-of-the-art of lakes in India: an overview. Archiv für Hydrobiologie, 1998, 121, 1-89. Supplement.). However, the determinants or the factors that govern the movement across the horizontal plane or the vertical plane vary with the size and depth of the lake. Thus the movements of the zooplankton realized as a diel periodicity differ between the large lake and small lakes or ponds. In large lakes where the vertical zonation is possible, the water quality including temperature and the nutrients form a vertical gradient, which in turn determines the movements of the zooplankton, particularly those that are vulnerable to predation (Miron et al., 2014MIRON, M.I.B.D., CASTELLANOS-PÁEZ, M.E., GARZA-MOURIÑO, G., FERRARA-GUERRERO, M.J. and PAGANO, M. Spatiotemporal variations of zooplankton community in a shallow tropical brackish lagoon (Sontecomapan, Veracruz, Mexico).Zoological Studies (Taipei, Taiwan), 2014, 53, 59.). In case of shallow lakes, the movements tend to be horizontal, though the predation effects are more pronounced both in the littoral and the pelagic zones. Further, the shallow lakes have little or lack vertical gradient profound enough to execute movements for the fish and the predators along with the zooplankton species. Possibly, the light penetration and the corresponding movements of the phytoplankton are also a factor in driving the movements of zooplankton in the lakes and ponds in horizontal directions. Considering the movements of the zooplankton along the horizontal scale, the species composition are expected to vary, even at a particular space or site, assuming differences in the species specific preference of the space (Lauridsen et al., 1997LAURIDSEN, T.L., JEPPESEN, E., SONDERGAARD, M. and LODGE, D.M. Horizontal migration of zooplankton: predator-mediated use of macrophyte habitat. In: E. M.JEPPESEN, M.SONDERGAARD, M.SONDERGAARD&K.CHRISTOFFERSEN, eds. The structuring role of submerged macrophytes in lakes. New York: Springer Verlag, 1997. pp. 233-239. Ecological Studies, vol. 131.). Assuming differences in the preferences of the microhabitat conditions and resources, the movements of zooplankton species are expected to vary, which would be reflected through the relative abundance at that instance (Arcifa et al., 2013ARCIFA, M.S., BUNIOTO, T.C., PERTICARRARI, A. and MINTO, W.J. Diel horizontal distribution of microcrustaceans and predators throughout a year in a shallow neotropical lake.Brazilian Journal of Biology = RevistaBrasileira de Biologia, 2013, 73(1), 103-114. http://dx.doi.org/10.1590/S1519-69842013000100012. PMid:23644793.
http://dx.doi.org/10.1590/S1519-69842013...
). The relative number of species in the zooplankton assemblages varied with time. At the initial time period, the number of species observed was quite less than that of the subsequent time periods for the cladocerans and the rotifers, though the copepod species richness and abundance remained comparable over the time intervals. It may be assumed that multiple factors may have lead to the displacement of the species leading to the changes in the species composition.

Variation in the species composition of the zooplankton in shallow lakes and pond is common with reference to the time period of a day and in course of the seasons in a year. The changes within a short time period are reflection of the plankton movement within the habitat. The diel migration of the zooplankton implies that the interactions among the different groups and the predators vary with time in a day (Picapedra et al., 2015PICAPEDRA, P.H.S., LANSAC-TOHA, F.A. and BIALETZKI, A. Diel vertical migration and spatial overlap between fish larvae and zooplankton in two tropical, Brazil. Brazilian Journal of Biology = RevistaBrasileira de Biologia, 2015, 75(2), 352-361. http://dx.doi.org/10.1590/1519-6984.13213. PMid:26132018.
http://dx.doi.org/10.1590/1519-6984.1321...
). Spatial occupancy as well as movements of the dependent groups varies according to the changes in the zooplankton species abundance (Lauridsen & Buenk, 1996LAURIDSEN, T.L. and BUENK, I. Diel changes in the horizontal distribution of zooplankton in two shallow eutrophic lakes.Archiv für Hydrobiologie, 1996, 137, 161-176.). The response to the changing environmental conditions, particularly light availability and the changing turbid conditions of the freshwater bodies like lake and ponds are driving factors for the changes in the spatial occupancy of the zooplankton species (Lampert, 2005LAMPERT, W. Vertical distribution of zooplankton: density dependence and evidence and evidence for an ideal free distribution with costs.BMC Biology, 2005, 10, 3-10. PMid:15813974.). Movement of the zooplankton within the space is also influenced by the presence of the vegetation that acts as a refuge to protect against the predators available in the same habitat (Wojtal et al., 2003WOJTAL, A., FRANKIEWICZ, P., IZYDORCZYK, K. and ZALEWSKI, M. Horizontal migration of zooplankton in a littoral zone of the lowland Sulejow Reservoir (Central Poland).Hydrobiologia, 2003, 506-509(1-3), 339-346. http://dx.doi.org/10.1023/B:HYDR.0000008627.55462.e1.
http://dx.doi.org/10.1023/B:HYDR.0000008...
). The studies on the diel migration and correlated responses of different groups of zooplankton portray the species specific adaptations to the changing environmental condition. The inference about the diel variations in the present instance was restricted to the major groups of zooplankton instead of assessing the species specific variations. Owing to the paucity of the information on the species specific interactions among the constituent members of the three different groups, the analysis was restricted to the higher taxonomic level. Still the less significant variations in the total copepods with respect to different time period within the day were obvious due to differential contribution of the species constituting the groups resulting in the invariant numbers all through the time period. This is relevant with reference to the predatory nature of the copepods that could thrive irrespective of the available species in the habitats. Further studies incorporating the physical factors and the biotic components that shape the zooplankton community organization may be studied to infer about the heterogeneity of the species composition during different time period in a day with higher precision.

5. Conclusion

In the freshwater lakes of Assam, India, the species composition of the zooplankton varied significantly with different time periods of a day. Although the pattern remained similar for the rotifers, cladocerans and copepods, the species richness of zooplankton varied significantly, supported by the diversity analysis. A correspondence of high and low abundances of rotifers and cladocerans was characteristic of the species composition of the zooplankton in the study area. The multivariate analysis using species as explanatory variables enabled classification of the different time periods in a day. The variations in the species composition in different time periods of a day suggest that the zooplankton exhibits movements either in horizontal or vertical directions induced by physical and/or biological factors. As a consequence, the combinations of zooplankton varied considerably, reflecting differential fitness values of the organisms. In conjunction with the studies on the diel periodicity of movements of zooplankton, the present study confirms the variations in the zooplankton species composition over time and being repeated following diel periodicity.

Acknowledgements

The authors are grateful to the respective Heads, Department of Zoology, Assam University, Silchar, Assam, and University of Calcutta, Kolkata, India for the facilities provided, including DST-FIST, Government of India. The authors, namely, Papia Das, Sulata Kar and Uma Das, acknowledge the financial assistance provided by UGC, India in carrying out the work.

  • Cite as: Das, P., et al. Day time variations of zooplankton species composition: observations from the wetlands of Assam, India. Acta LimnologicaBrasiliensia, 2020, vol. 32, e10.

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Edited by

Associate Editors: Antonio Fernando Monteiro Camargo, Irineu Bianchini Junior.

Publication Dates

  • Publication in this collection
    30 Nov 2020
  • Date of issue
    2020

History

  • Received
    25 Feb 2018
  • Accepted
    13 Apr 2020
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