Relation Between Physico-chemical Limnology and Crustacean Community in Wular Lake of Kashmir Himalaya
Javaid Ahmad Shah
Ashok K. Pandit
The present study scrutinizes the seasonal variation in the
distribution of crustacean zooplankton in relation to physico-chemical liminology
of Wular lake. Water samples were collected from five study sites during September
2010-August 2011. Remarkable spatial and temporal variations were observed among
the different study sites. Among the parameters recorded water temperature showed
positive correlation with pH (p<0.01) and orthophosphate (p<0.05).Transparency
showed a significant negative correlation with total alkalinity (p<0.01),
free carbon dioxide (p<0.01) and ammonical nitrogen (p<0.01). Crustacean
zooplankton were collected by filtering 100 L lake water through a 30 μm
nytal mesh and preserved in 4% formalin. A total of 42 taxa of crustacean were
recorded, among them 23 species belonged to Cladocera, 16 to Copepoda and only
3 to Ostracoda. Species diversity and density depicted an abrupt up surge on
the advent of warmer period (extending from March). Among the various sites
a maximum of 40 species were recorded from a single biotope (site III) against
the minimum of only 17 species being recorded from site I. Bray-Curtis cluster
analysis showed close similarity (0.928-0.944%) between summer and autumn in
terms of species diversity. Pearson correlation coefficient of the various physico-chemical
parameters of water with crustacean zooplankton depicted that not only a single
but multiple factors govern over the distribution and diversity of crustacean
in the lake.
Received: December 07, 2012;
Accepted: February 26, 2013;
Published: April 16, 2013
Aquatic environments are dynamic systems with cycles and processes operating
at a range of spatial and temporal scales. The active natures of the events
collectively with natural series of disorderness, anthropogenic pressures, act
to allocate the aquatic biotic communities into spatial and temporal diversity
(Furnas, 1995; Keough and Butler,
1995; Jeppesen et al., 2002). Further, temporal
unpredictability of environmental conditions are known as a prerequisite factor
for the structure of communities (Rutherford et al.,
1999; Ruokolainen et al., 2009) besides,
resources availability in the surrounding environment have a challenging impact
on plankton dynamics and are strongly related (Beisner, 2001).
The composition and diversity of zooplankton provide information on the characteristics
and quality of the water body (Okayi et al., 2001).
Crustaceans have worldwide-distribution, establish across all habitats. They
are important for evaluation of the impacts of climatic change and anthropogenic
pressures on non-model systems (Buhay, 2011). Crustaceans
an important constituent of zooplankton and play fundamental role in aquatic
food chains. Besides being an important food item of fishes, the animalcules
also find use as potential indicators of the trophic status of a water body
since their structure and composition are highly affected by eutrophication
(Patalas, 1972). Therefore, this study was designed
to assess crustacean community in terms of species composition and diversity
between various sites, under the operative influence of varying physico- chemical
environment of Wular lake, valued as a wetland (a Ramsar Site) of Kashmir Himalaya
on which no published work is available till date.
MATERIALS AND METHODS
Study area: Wular lake, a rural lake in the north-west of Kashmir about
55 km from Srinagar city, is situated at an altitude of 1,580 m (a.m.s.l) and
lies between 34°16´-34°20´N and 74°33´-74°44´E geographical
co-ordinates. It is the largest freshwater lake of the Indian sub-continent.
The area of lake as per topo-sheets of 1911 was 217.8 km which includes 58 km
of associated marshes.
|| Map of Wular lake showing five sampling sites
The area was reduced from 157.74 to 86.71 km during 1911 to 2007. Overall there
was reduction the lake area by 45% mainly due to conversion for agriculture
(28%) and Salix plantation (17%). Further associated marshes were reduced by
70% again due to conversions for agriculture and settlements. GIS pictures recently
taken reveal the total area of the lake to be 45 km2 (Fig.
1). The shrinkage in lake area was mainly due to continuous siltation brought
about by various tributaries (Erin, Madhumati, Ashtung nalla, Hartal nalla,
etc.), besides River Jhelum being the main feeding channel. The lake is mono-basined
having an elliptical shape and plays a significant role in hydrographic system
of Kashmir valley by acting as a huge reservoir and absorbs high annual flood
of River Jhelum.
Methods: Water samples were taken from five different sites in both
limnetic and littoral zones. Crustacean zooplankton were collected by filtering
100 litre sub-surface water through a 30 ìm nytal mesh and fixed in 4%
formalin to which 4-5 drops of glycerine and 5% sucrose were added. Identification
of the crustaceans was done with the help of standard works of Pennak
(1978), Adoni (1985); Battish
(1992) and Edmondson (1992). The quantitative analysis
was done with the help of Sedgewick Rafter plankton counter cell and the results
were expressed as individual per litre (ind./L). At least three tubes were taken
at different sites and integrated to get one composite sample. In addition,
crustacean zooplankton was collected in horizontal transects by towing a net.
Water samples were also taken in the open water for biological and chemical
analyses and some limnological variables were determined in situ (temperature,
pH, depth and transparency). The remaining parameters were determined following
the standard methods of APHA (1998).
Statistical analysis: Statistical analyses were performed using SPSS (statistical Version 11.5 for Windows 7, SPSS and Chicago, IL, USA). The Pearson correlation (r) was made for the statistical interpretation of the physico-chemical parameters of water and crustacean species density. The relationship between crustacean species abundance with different seasons was determined using a similarity percentage program PAST (statistical Version 1.93 for Windows 7).
RESULTS AND DISCUSSION
Physico-chemical characteristics of water: Mean with minimum and maximum
values in the physico-chemical parameters of water is presented in Table
1. During the study period, water temperature ranged between the maximum
of 29.13°C and minimum of 3.6°C with average of 15.02±0.77. Transparency
of water fluctuated both spatially and temporally. In general, highest transparency
values were recorded in winter registering its highest of 1.7 m against the
lowest of 0.57 m in summer. Devi and Sharma (2008) also
obtained similar results in Oksoipat lake, Manipur. The pH range during present
study did not fluctuate much and remained between 7.17-8.27, reflecting alkaline
nature of the lake. Water depth ranged from 1 m in winter to 4.27 m in spring.
Dissolved Oxygen (DO) revealed a definite seasonal trend registering higher
content in winter (11.1 mg L-1) and lower content in summer (4.63
mg L-1). Highest dissolved oxygen during winter could be attributed
to the fact that in lower temperature oxygen carrying capacity of water increases
(Wetzel, 1983; Desai et al.,
1995). The maximum alkalinity value (197.6 mg L-1) was noted
in winter, followed by steep fall in the summer till it touched a minimum value
(56. 67 mg L-1). Free carbon dioxide registered a minimum value of
11 mg L-1 at in summer and a maximum of 23.3 mg L-1 in
winter (average = 15.7±1.28 mg L-1).
Chloride content within the lake fluctuated in a narrow range 14.0-22.67 mg
L-1, being recorded in winter and summer respectively. These results
corroborates with findings of Govindan and Sundaresan (1979)
and Jana (1973). NH4-N concentrations fluctuated
between 82.7 in summer to 339 μg L-1 in winter, the average
being 218.3±27.8 mg L-1. The relatively higher levels of ammonical
nitrogen in winter may be due to low microbial activity which converts ammonia
into nitrites and nitrates. Nitrate nitrogen concentrations fluctuated between
232.3-442 μg L-1, being observed in summer and in winter respectively
(average = 335.4±17.14). Phosphorous, is generally recognized as one
of the key nutrients in the productivity of freshwaters as it is essential element
determining fertility of lakes. According to Cole (1975),
the high concentration of phosphate in water is due to decay and subsequent
mineralization or decomposition of dead organic matter and surface run-off.
On the basis of Pearson inter-correlation matrix positive correlation was observed
between water temperature and pH (r = 0.944, p<0.01) and orthophosphate (r
= 0.536; p<0.05) which almost corroborate with the findings of Essien-Ibok
et al. (2010). Depth showed negative correlation with transparency
(r = 0.680; p<0.01), pH (r = 0.652; p<0.01) and orthophosphate (r = 0.45;
p<0.05). Transparency in the present investigation showed a significant negative
correlation with total alkalinity(r = 0.918; p<0.01), free carbon dioxide
(r = 0.713; p<0.01), ammonical nitrogen (r = 0.890; p<0.01), nitrate-nitrogen
(r = 0.780; p<0.01) and total phosphate (r = 0.789, p<0.01). Ammonical
nitrogen in the present investigation showed positive significant correlation
with nitrate nitrogen (r = 0.711, p<0.01) and total phosphate phosphorus
(r = 0.743, p<0.01), whileas, nitrate nitrogen showed positive correlation
with total phosphate phosphorus (r = 0.711, p<0.01).
Species composition: The diversity of crustacean groups and its seasonal
variation at five study sites are summarized in Table 2. Total
number of recorded species were 42 belonging to three different groups namely
Cladocera (23), Copepoda (16) and Ostracoda (3). Highest number of crustacean
species (40) was registered at site III, followed by 31, 28, 27 and 17 at sites
IV, V, II and site I, respectively. Further, group-wise distribution of crustacean
zooplankton indicates discernible differences at different studied sites. Cladocera,
thus recorded 22, 16, 15, 11 and 07 species at sites III, V, IV, II and I in
a decreasing order, followed by Copepoda recording 15 at site III, 13 each at
sites IV and II, 9 at site V and 8 at site I respectively. Ostracoda was the
least represented group registering only 03 species each at sites II, III, IV
and only 2 species at site I. The most dominant cladocerans reported in the
lake were Chydorus sphaericus, Alona affinis, Macrothrix rosea and Moinodaphnia
sp. Among Copepoda dominant species included Bryocamptus nivalis,
Cyclops bicolor and Eucyclops agilis. Among Ostracoda, Cyclocypris
sp. and Eucypris hystrix were the main representatives of the group.
Other species of crustaceans were found either sporadically or were of relatively
low abundance. Rich diversity and abundance of crustaceans in lake is due to
shallow nature of the lake associated with macrophytes that play an important
role in the structure and dynamics of the microcrustacean assemblages (Scheffer
et al., 2006).
Seasonal variation in population density: In general, Cladocera showed
unimodal growth peak in spring season (Table 2). The spring
maximum is attributed to accumulation of organic matter in the lake due to rise
of primary productivity on account of rise in temperature (Sharma
and Kotwal, 2011). Cladocerans have high seasonal variability due to the
undulation of parthenogenetic and gamogenetic reproduction modes (Egloff
et al., 1997; Rivier, 1998). A rapid increase
in densities accomplished as a result of high rates of embryonic and postembryonic
growth is a distinguishing feature of cladocerans, besides some abiotic factors
such as temperature that modulates egg development (Pandit,
1998, 1980; Saunders et al.,
1999; Mergeay et al., 2006; Hansson
et al., 2007). Cladocerans attain high population abundances very rapidly,
but persists over a very short time only. Reasons for a sudden decline in abundance
in colder periods (winter and autumn) is not immediately known, but we believe
decrease is typically accompanied by an intensive gamogenetic reproduction (Onbe,
1978) and low food availability, that result in the formation of resting
eggs at the end of the reproductive season.
||Seasonal variations in the population density of crustacean
zooplankton at five study sites of Wular lake*
|*: Average results based on three analyses, Aut.: Autumn,
Win.: Winter, Spr.: Spring, Sum.: Summer and -: Absent
|| Correlation of crustacean groups with abiotic parameters
|*: Correlation at 0.05(2-tailed) **: Correlation at 0.01(2-tailed),
WT: Water temperature, Transp: Transparency, DO: Dissolved oxygen, TA: Total
alkalinity, CO2: Free carbon dioxide, Cl: Chloride, NH4-N:
Ammonical nitrogen, NO3-N: Nitrate nitrogen, OP: Orthophosphate
phosphorus and TP: Total phosphate phosphorus
This has been suggested to be triggered by varying environmental conditions
and aimed at ensuring survival of the species over the winter (Egloff
et al., 1997; Rivier, 1998). Among the cladocerans
species like Bosmina longirostris, being thermophobic, was completely
absent in the summer season at all the sites while as species like Alona
guttata, Camptocercus rectirostris, Ceriodaphnia quadrangula and
Diaphanosoma brachyurum were not encountered throughout winter, an observation
in consonance with the earlier findings of Hakkari (1978)
for Finland lakes and Yousuf and Qadri (1981), Yousuf
et al. (1983) and Balkhi and Yousuf (1996)
for Kashmir lakes.
Copepoda was the second dominant group, after Cladocera, in terms of both species
number and density. During the present study peak populations of Copepoda vary
among the study sites autumn being the peak growth season for sites I (345 ind.
L-1) and II (568.3 ind. L-1) and spring for sites III,
IV and V respectively registering 629, 569 and 364 ind. L-1 (Table
2). In general, copepods were dominant in warmer period. Habitat preferences
and environmental conditions including food availability may be the reasons
for peak populations (Santer and Lampert, 1995; Alekseev
et al., 2007). Studies revealed that species like Megacyclops
viridis and Diaptomus sp. were completely absent in winter though
the latter one was also absent in spring. Likewise, Cyclops scutifer and
C. vicinus were absent in summer and the latter was again missing in
spring season. These findings are inconsonance with the earlier studies of Yousuf
(1988) and Balkhi and Yousuf (1990, 1992).
Ostracoda was represented by Cypris sp., Cyclocypris sp. and
Eucypris hystrix. In general, no regular growth pattern was followed
by Ostracoda as majority of them were found to live in the bottom of the lake.
The population dynamics of this group is not clearly known though some species
exhibit distinct seasonal periodicity (Wetzel, 1983).
According to Pennak (1978) ostracods can tolerate wide
range of ecological stresses.
Within a particular lake, the species composition of aquatic communities are
closely linked with seasonal and hydrologic cycles. Many species of zooplankton,
can, however, tolerate changing conditions by both physiological and life cycles
adaptations (Gauthier, 1928; Margaritora,
1983; Ramdani, 1988). For example, the resistant
eggs of Ostracoda, Cladocera and Copepoda (Diaptomidae) can tolerate dry periods.
Some adult species of Copepoda (Cyclopoidae) can transform into a dormant stage
(Dussart, 1969). However, when environmental changes
exceed species tolerance limits, community changes at species level usually
occurs. During the present study crustaceans depicted significant positive correlation
with temperature (p<0.05), thereby indicating that temperature has a strong
influence on the crustaceans abundance, a fact well supported by Bhuiyan
and Gupta (2007); Park and Shin (2007) and Rajagopal
et al. (2010). Temperature is said to have the major influences on
the distribution of crustaceans and has been reported to affect zooplankton
(crustaceans) abundance in two ways. First it acts directly to hasten growth
rates, thereby increasing population densities and secondly, it stimulates the
growth of phytoplankton population which provides nutrients.
It is known that there is a positive correlation between temperature and species
richness of zooplankton in aquatic environments (Matsubara,
1993; Castro et al., 2005; Hessen
et al., 2007). Moreover, other water quality parameters such as
nitrate and phosphate also affected, but negatively in deciding the abundance
of copepods (Table 3). Thus, it is noteworthy to note that
when the concentration of nitrate (r = 0.804, p<0.01) and phosphate were
more, the abundance of copepods was less (Joseph and Yamakanamardi,
2011). Regarding the depth, somewhat direct relationship exists between
the two (p<0.01). Further significant negative correlation was observed with
free CO2 (Table 3; p<0.01 for Cladocera; p<0.05
for Copepoda) as proposed by Welch (1952) and Moshood
(2009). Crustaceans preferring less alkaline waters (Qadri
and Yousuf, 1980) infers that there exists inverse relation between the
crustaceans (particularly Copepoda) and the total alkalinity (r = 0-.642, p<0.01)
(Paulose and Meheswari, 2008). In the present study
a direct relation was observed between the pH and the crustaceans which corroborates
with the findings of Basu et al. (2010).
Bray-curtis cluster analysis showed great similarity between summer and autumn
Contrary to these two seasons, spring season showed maximum dissimilarity
during the entire study period, representing the most favourable period for
crustacean density and diversity (Fig. 2).
From the present study, it can be inferred that the diversity and distribution of crustaceans in the Wular lake is controlled by a combination of abiotic (temperature, depth, pH and alkalinity) as well as biotic factors including food availability, predation, alternation of parthenogenetic and gamogenetic reproduction modes. Low abundance and diversity was observed at site I due to anthropogenic stresses and low macrophytic growth. Temporal variability in a multitude of environmental conditions is considered to be the main regulatory factor for crustacean zooplankton distribution, abundance and diversity, therefore, rebuffing the single factor concept controlling the entire plankton community.
Thanks are due to the Director, Centre of Research for Development and Head, Environmental Science, University of Kashmir for providing necessary laboratory facilities.
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