Major stressors influencing the river ecosystems of Far and Mid Western Development Regions of Nepal
Subodh Sharma * and Ram Devi Tachamo Shah
1
Aquatic Ecology Centre,
Kathmandu University,
Dhulikhel,
GPO Box: 6250
Nepal
Corresponding author Email: subodh.sharma@ku.edu.np
DOI: http://dx.doi.org/10.12944/CWE.14.2.07
Copy the following to cite this article:
Sharma S, Shah R. D. T. Major stressors influencing the river ecosystems of Far and Mid Western Development Regions of Nepal. Curr World Environ 2019;14(2). DOI:http://dx.doi.org/10.12944/CWE.14.2.07
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Sharma S, Shah R. D. T. Major stressors influencing the river ecosystems of Far and Mid Western Development Regions of Nepal. Curr World Environ 2019;14(2). Available from: http://bit.ly/2YSJl93
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Article Publishing History
Received: | 22-06-2019 |
---|---|
Accepted: | 09-08-2019 |
Reviewed by: | Dr. Ayush Dogra |
Second Review by: | Dr Madhu Bala |
Final Approval by: | Dr Umesh Kulshrestha |
Introduction
Nepal, being a mountainous country, possesses diverse climatic zones ranging from subtropical to alpine climates supporting diverse types of rivers for huge biodiversity. Many headwater streams and rivers are still intact from urban development. However, recent water resourcedevelopment such as water diversion and operation of hydropower dam and irrigation channels along with extraction of river-bed materials have deteriorated morphology and hydrology of rivers and streams and their biota. The types and frequency of disturbances, nevertheless, vary along the river course from source to mouth and increase from source to mouth which have displaced many sensitive organisms from disturbed river stretches (Shah and Shah 2013). Loss of biodiversity is one of the major threats in human dominated river basin (Shah and Shah 2012; Shah and Shah 2013). In the built up areas, the river ecosystems are impacted by solid wastes and discharge of sewerage (Shah and Shah 2013) whilst in agricultural dominated catchment, river ecosystems are highly influenced by water diversions projects. Water abstractions in irrigation projects, operation of water mills and hydropower and tapping of water from source have reduced water volume and discharge in the rivers of Mahakali and Karnali river basins which might have adverse impact to the river ecosystems.
River flow and geomorphology are basic natural parameters to river biodiversity and functioning of ecosystems as channel features including river bed materials provide habitats for the biota and influence water quality, exchange of materials and source of energy (Degani et al., 1993; Elosegi et al., 2010; Roll et al., 2012). River flow in a river exerts physical force on biota while physical habitats provide shelters to biotic community (Benn and Arthington, 2002). The flow modification affects physical habitat in a river by the development of bars, benches and islands, retention of organic matter, presence of pool habitat, availability of woody debris, substrate composition and sediment transport (Lloyd et al., 2005). Among others, benthic macroinvertebrates have important ecological roles to maintain aquatic ecosystem (Wagenhoff et al., 2012). Ephemeroptera, Plecoptera and Trichoptera orders are found to have a very strong negative response to stress (Clarke et al., 2010). The response to reduced flow is increased in active drift by some taxa such as Baetis spp., Epeorus spp., Simuliidae, Brachycentrus spp. and decreased active drift by others such as Paraleptophlebia spp., some Ephemerella spp., Lepidostoma spp. (Poff and Ward 1991). The hydropsychid caddisfly larvae have tendency to aggregate in high-velocity water where feeding rates are higher than in low-velocity water (Dewson et al., 2007). Even small impoundments are found to have a negative effect on sensitive macroinvertebrate taxa such as the plecopterans which reduces macroinvertebrate richness at the downstream reaches, whereas high abundances of tolerant taxa, such as dipterans at the downstream sites (Mbaka and Mwaniki, 2015). In the downstream of water abstraction, high sediment levels retard macroinvertebrates and fish communities (Sullivan and Watzin, 2008) as sediment load hinders the growth of periphyton which reduces the availability of algae to grazers and decreases the densities of scrapers, shredders and predators (Ndaruga et al., 2004). The shredders and collector-gatherers; both groups use leaves as a substrate for adherence and refuge and scrapers and shredders are found where fine and coarse organic matter are more abundant (Fierro et al., 2015).
Materials and Method
Study Area and Sampling Sites
The study was conducted in headwaters of Mahakali and Karnali basins in far western and mid western regions of Nepal (Figure 1). Mahakali and Karnali rivers are glaciers and snow fed rivers. Only about 35.4% of Mahakali basin drains in Nepal territory (Mool et al., 2001) while about 55% of Karnali river basin falls in Nepal (WSHP, 2007).
Figure 1: Distribution of sampling sites in tributaries of major river systems of Nepal. Protected areas are kept in short form where SNP: Suklaphata National Park; KNP: Khaptad National Park; RNP: Rara National Park; BNP: Bardia National Park; SPNP: Shey-Phoksundo National Park. Click here to view Figure |
A total of 33 river stretches in Mahakali and Karnali river basins were selected for sampling of benthic macroinvertebrates during post-monsoon, baseflow and pre-monsoon seasons, respectively in the years 2016 and 2017. Rivers without water diversions and intact habitats were considered as references (Figure 2, Left) while sites downstream of water abstraction and with habitat modification were regarded as disturbed sites (Figure 2, Right).
Figure 2: Sequential photographs showing natural site without water abstraction and habitat modification in Karnali tributary (left) and downstream of water abstraction and habitat removal in the same river (right). Click here to view Figure |
Biological Data Set
Sampling, Processing and Identification of Benthic Macroinvertebrates :
About 50-100 m river stretch was selected at each sampling sites. A total of 10 sub-samples were collected following relative coverage area of substrates (Sharma and Tachamo Shah 2017). The habitat coverage was estimated at 10% interval and made one sub-sample for at least of 10% coverage of habitat. Increase in specific habitat coverage increases the number of sub-samples for that particular habitat. For instance, cobble distribution coverage was 50% in a river stretch led to 5 sub-samples only from 5 cobble habitats.
A standard hand net of 25 cm × 25 cm metallic frame with mesh 500 µm was used for benthic sampling. The net was placed against water flow and habitat/substrates of 25 cm and 25 cm were rigorously scrolled for a minute. The drifted macroinvertebrates then passed through the sampling net and finally transferred to a sampling container. Prior to sampling, depth and velocity were noted. Velocity was measured at 0.6 times of total water depth from water surface by using Global Flow Probe.
Data Analysis
Non-metric multidimensional scaling (NMDS, Bray-Curtis Similarity) was applied to assess the impact major stressors on composition and diversity of benthic macroinvertebrates. NMDS technique explores any similarities or dissimilarities in community data as it does not require any assumptions of multivariate normality and yields good results even when large numbers of data sets have zero values (Clarke, 1993). NMDS was conducted on benthic macroinvertebrates abundance data for seasonal variations and major stressors using Sørenson’s distance measure in the R software. Prior to NMDS analysis, benthic macroinvertebrates abundance data were transformed to log (x+1).
Results and Discussion
Faunal Composition
A total of 139 taxa belonging to 15 order/classes were recorded from the study sites. Three taxonomic groups namely mayflies (ephemeroptera), caddisflies (trichoptera) and true flies (diptera) contributed over 80% of relative abundance in Mahakali and Karnali basins (Figure 3a). These three taxonomic groups contributed about 70% of taxonomic richness in two basins (Figure 3b). Ephemeroptera and trichoptera were the most diverse groups among others. In general, ephemeropterans were the most dominant group in the studied basins.
Figure 3: Taxonomic composition according to macroinvertebrates order in study river basins Click here to view Figure |
Benthic macroinvertebrates Responses to Water Abstraction
A total of 68, 79 and 76 families of macroinvertebrates were recorded for post-monsoon, baseflow and pre-monsoon seasons, respectively. Taxonomic richness and abundances did not differ among seasons for natural sites while % Ephemeroptera, %Trichoptera and % Diptera varied between natural and abstracted sites in seasons (Figure 4). With abstraction, abundance of Ephemeroptera increased by 6% in pre-monsoon, 10% in baseflow and 17% in post-monsoon seasons which was found contrast for Trichoptera abundance and declined upto 17% for dries period of the year (baseflow). Water abstraction upstream of the rivers have dramatically reduced mean total density of individuals in abstracted sites (McIntosh et al., 2002). In general, EPT compositions dominate rivers with high flow (Holt et al., 2014). Our results partly contradicted to the findings of Holt et al., (2014) as plecoptera did not show significant variation between abstraction categories while ephemeroptera increased their richness and abundance in abstracted rivers compared to natural sites. However, Trichoptera abundance was found to be reduced in abstractions sites. In general, loss of macroinvertebrates abundance in the downstream sections is mainly attributed to loss of microhabitats and riffle or rapid sections. Loss of habitats creates intra-specific and inter-specific competitions for habitats and food resources (Lake 2000; Mclntosh et al., 2002; Dewson et al., 2007). Findings of Sabater et al., (2018) suggest that flow alterations induced by water abstraction and channelization have shown minor effects on benthic macroinvertebrates compared to flow alteration by operation of dams (Sabater et al., 2018). Since this study was conducted in streams that were mainly affected by water diversions for irrigation, operations of micro-hydropower and water mills, changes in water quality was only partly attributed in this study.
Figure 4: EPT and Diptera composition between river categories across seasons. Left: macroinvertebrates richness share between river categories and right: macroinvertebrates abundance between river categories across seasons. Click here to view Figure |
Many of Trichopteran are rheophilic in nature so reduce in flow regimes might have declined their richness and abundance in the abstracted sites of this study (sensu Castella et al., 1995; Fenoglio et al., 2007). Nevertheless, overall richness macroinvertebrates did not changed as appearance of lenthic taxa mainly Coleoptera, Odonata and Lepidoptera in abstracted sites.
In total, collector-gatherers, scrapers and predators were the first diverse functional feeding groups in benthic macroinvertebrates samples, comprising 32%, 25% and ~ 20% in both river category in a year. Water abstractions did not affect functional feeding groups in macroinvertebrates richness (Figure 8left) while impacted their abundances (Figure 8right). In case of abundance, collector-gatherers contributed nearly 50% of macroinvertebrates composition followed by ~ 16% collector-filterer, 14% scrapers and 13% predators (Figure 8 right) Collector-gatherers were found to be positively affected by water abstractions while collector-filterers were negatively influenced with water abstraction. Scrapers and Predators were the most stable feeding groups in terms of richness and abundance in these river systems.
Figure 5: Functional feeding groups between river categories across seasons. Left: FFGs richness between river categories across seasons. Right: FFGs abundance between river categories across seasons. Click here to view Figure |
Both richness and abundance increased from post-monsoon to baseflow season and again reduced during pre-monsoon season (Figure 6). Richness and abundance were found high for the baseflow season. Both the metrics were significantly different across the seasons (richness; F = 7.634, df = 2, p-value = 0.02; abundance; F = 8.9887, df = 2, p-value = 0.01).
Figure 6: Richness of macroinvertebrates (Left) in different seasons and Abundance of macroinvertebrates (Right) Click here to view Figure |
In headwater streams, energy influx is mainly driven from input of allochthonous organic matters from riparian zones (Vannote et al., 1980). With reduced wetted river width, the relationship between riparian vegetation and river channel reduces, which leads to unfavorable conditions for shredders and collector-gathers. Abstracted sites had lower proportion of collector gathers and shredders compared to natural sites while predators remained unaffected (McKay and King 2006). Changes in trophic strategies might be due to reduction in relative abundance of Trichoptera, which are one of the most sensitive to changing hydraulic condition (McKay and King, 2006). Low diversity of shredders has been documented as an effect of low discharge in rivers in New Zealand (Dewson et al., 2007). Though some studies illustrate small effects of water diversion and channelization compared to operation of dams on river ecosystems, the consequences of water diversion in river networks in most temperate, semi-arid and arid regionscould have severe effects (Boulton 2003; Boix et al., 2008; Sabater et al., 2018).
The high sediment levels in streams have retarding effect on macroinvertebrates and fish communities (Sullivan and Watzin, 2008) as sediment load hinders the growth of periphyton which reduces the availability of algae to grazers and decreases the densities of scrapers, shredders and predators (Ndaruga et al., 2004). The shredders and collector-gatherers; both groups use leaves as a substrate for adherence and refuge and scrapers and shredders are found where fine and coarse organic matter are more abundant (Fierro et al., 2015).
Conclusion
Nepal is considered rich in terms of its water resources yet there are many areas suffering from water stressed situation. This is due to huge variation in temporal variability in water availability due to the types of rivers. Rivers in Nepal may be broadly classified into three categories such as snow fed perennial rivers with high hydropower potential are the major rivers, rivers originating in the middle mountains have high variations in the flows during monsoon and dry months, and ephemeral rivers originating in the Siwalik regions which bring flash flood during rainy season and dry during other time of the year. Water abstraction is common in all kinds of rivers for either hydropower generation, or irrigation and drinking water supply. It is observed that such water abstraction coupled with habitat modification have altered the benthic community structure. Water abstraction with less morphological disturbance had low impact on benthic macroinvertebrate community. Among other metrics abundance of macroinvertebrates seems to be sensitive to reduced flow under habitat modification. There is very little attention given in Nepal in protecting the aquatic life, which are so important as indicators of watershed conditions. It is therefore recommended that in order to maintain the ecological status of rivers, minimum flow be maintained and there must be some legal instrument limiting the amount of water abstraction.
Acknowledgements
The project was made possible through funding from USAID-Nepal. We are thankful to all the staff of Aquatic Ecology Centre and two anonymous reviewers for their comments that has improved the quality of paper.
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