International Research Journal of Environment Sciences________________________________ ISSN 2319–1414Vol. 4(5), 6-11, May (2015) Int. Res. J. Environment Sci. International Science Congress Association 6 Assessment of Physico-Chemical Characteristics and Fish Diversity of Hill streams in Karbi Anglong district, Assam, IndiaTeronpi Valentina*, Singh H T, Tamuli Ajit K and Teron Robindra Department of Life Science and Bioinformatics, Assam University- Diphu Campus, Diphu, Karbi Anglong, Assam, 782 460, INDIAAvailable online at: www.isca.in, www.isca.me Received 23rd January 2015, revised 27th March 2015, accepted 4th May 2015 AbstractA study was carried out during March 2011 to November 2013 to assess the limnological parameters and diversity of fish fauna of three hill streams of Karbi Anglong district, Assam. The parameters studied included air temperature, water temperature, dissolved oxygen (D.O.), electrical conductivity, total dissolve solid (TDS), turbidity, free CO, phosphate and alkalinity. The study recorded 62 species of fish represented by 7 orders, 15 families and 32 genera. Shannon-Weiner diversity index of fish ranged from 3.28 to 3.88 which is indicative of rich fish diversity. However, interview with local fishermen have brought to light that there is decline of catches of many fish species in recent times. The fish fauna of the study area face serious threats from siltation, unscientific fishing, particularly use of pesticides, and pollution. There is an urgent need to conserve hill streams of Karbi Anglong district and adopt sustainable fishing practices. Report of the present study will be useful for monitoring water quality, fish diversity, threat perceptions and serve as baseline information for further research in the region. Keywords: Hill streams, fish diversity, limnological parameters, Shannon-Weiner index, conservation. Introduction The north east region of India is a biodiversity rich region and is considered as one of the hotspots in the world when it comes to fresh water fish diversity. The diversity is attributed to the recent geological history and the Himalayan orogeny which played an important role in the speciation and evolution of groups inhabiting mountain streams. Though the region has been considered as repository of freshwater fishes, gaps in the knowledge of fish diversity still exist. Many workers have attempted to document the fish fauna of the region but these reports are far from complete. Today the fish diversity and associated habitat management is a great challenge due to various anthropogenic activities which have precipitated in loss and degradation of fish habitat. The loss of any genetic resource from the gene pool will mean irreparable damage to the intricate web of life. There is thus a need to take up effective management practices. Rational management requires a wholesome knowledge of various components of the ecosystems. It further requires preparation of complete inventory of fish diversity in all freshwaters of the region; inventory at both local and regional level is useful for evaluation of fish diversity and conservation status and the nature and magnitude of threat can be identified8,9. Moreover, information on diversity and ecology of natural fish stock, particularly their distribution pattern, habitat preferences, biodiversity status, etc. has great bearing on their sustainable utilization and highly essential for adopting effective conservation measures. Karbi Anglong district in Assam is endowed with myriads of rheophilic rivers and torrential hill streams but the streams of the region have not been scientifically studied and its fish fauna have remained largely under explored. Reports10,11 on the fish diversity on rivers of Karbi Anglong district are incomplete and fragmentary. Major impediment towards elucidation of fish diversity from the district has been the location of the hill streams in high elevated areas often covered with thick forest. Further, the hill streams are under intense pressure from human-induced disturbances which have jeopardized its faunal components. Assessment of limnological characteristics and diversity of fish fauna of the hill streams are the objectives of the present communication. Material and Methods Study Area: Karbi Anglong district (2533 N to 2635 N and 9210 E to 9250E) in Central Assam, covering an area of 10,434 sq km, is bounded by Golaghat district in the east, Meghalaya state and Morigaon district in the north and Dima Hasao district and Nagaland state in the south. The district can be broadly divided into two physiographic units viz. hills and plains. About 85% of the district is covered by hills; the highest peak with an altitude 1360 m is located in Singhason hill range. Three river systems of the district were selected for the present study (figure-1). Sites were chosen on the basis of accessibility and differences in physical habitat. The geographical co-ordinates of the rivers under study are as follows: Longnit River (Site-1): 2604’10.07” N 9323’99”E, Elevation: 300m, Jamuna River (Site-2): 2602’59.60” N 9310’57.10”E, Elevation: 101m, Amreng River (Site-3): 2545’40.80” N 9245’45.60”E, Elevation: 125m International Research Journal of Environment Sciences______________________________________________ ISSN 2319–1414 Vol. 4(5), 6-11, May (2015) Int. Res. J. Environment Sci. International Science Congress Association 7 Figure-1 Drainage map of Karbi Anglong district, Assam showing the Rivers under study Methods: The study was carried out during a span of two years (March 2011 to November 2013). In each river three sampling sites were randomly identified and water samples were collected from the rivers during three seasons in a year- i. pre-monsoon (March-June), ii. monsoon (July-October) and iii. Post-monsoon (November-February). The collected samples were carried to the laboratory for analysis of water variables. The parameters such as air temperature and water temperature of the study site were recorded in situ. Other parameters like dissolved oxygen (D.O.), electrical conductivity, total dissolve solid (TDS), turbidity, free CO, phosphate, and alkalinity were analysed in laboratory following Standard Methods12. Experimental fishing was done by employing experienced fishermen using electrofishing and indigenously used fishing gears. For fish sampling, each site was further divided into five sub sites along the stretch of about 3 km. Representative specimens of all fish species collected were immediately preserved in 10% formalin and taken to the Department of Life Science, Assam University, Diphu Campus and maintained in laboratory for future reference. The specimens were identified using standard literatures13,14and online database15. The commonness or rarity of a species in the rivers under study was determined using relative abundance (RA) which was calculated as follows: Fish diversity in the rivers was calculated using Shannon-Wiener index which is given by the formula: Where: = Shannon-Wiener index of diversity; = proportion of species relative to the total number of species. Evenness in the population of the species was determined using Shannon's equitability ().It is given by: Where, = Shannon-Wiener index of diversity; = total number of species in the habitat (Species Richness)Number of species observed during the study was considered as species richness. Results and Discussion Physico-chemical parameters: The study of physical and chemical characteristics of water provides a considerable insight into the quality of water of awaterbody16 which in turn determines its faunal diversity. Mean seasonal variations of physico-chemical parameters for a period of two years for the three sampling sites under study are presented in table-1. Physico-chemical parameters were almost similar in the sampling sites under study; however, the parameters showed marked seasonal variation. It was observed that atmospheric temperature and water temperature followed identical annual trends, showing optimum values for both the parameters during the monsoon and minimum were during post-monsoon (winter). Highest atmospheric temperature of 32.95C was recorded from Jamuna river (site-2) followed by 32.03C and 31.1C from Amreng river (site-3) and Longnit river (site-1) respectively. Water temperature recorded was found to be highest from Site-1 (28.53C) and lowest from site-3 (19.77C). During pre-monsoon water temperature was found moderate and the mean water temperature was lower than the atmospheric temperature throughout the study period indicating strong influence on the former by the later. Turbidity was registered highest (4 NTU at Site-2) during monsoon and lowest (2.33 NTU at Site-1) during pre-monsoon. The increased turbidity during monsoon season may be attributed to surface runoffs from the catchment areas following a heavy downpour which brings in suspended solids into the water bodies. Similar observation was also reported from the lotic habitats of upper Brahmaputra basin17. The pH of the rivers recorded were found to be slightly alkaline throughout the study period and showed narrow range of variation between sampling stations. The pH showed a decreasing trend during the monsoon which gradually increased towards post-monsoon season. Maximum average of pH was recorded from Site-2 (8.73) and minimum from Site-3 (6.68). Similar observations were also obvious in the hill streams of Wokha district of Nagaland18 and Namsang stream of Arunachal Pradesh19. The main source of pH in the rivers under study was probably due to use of detergent for bathing and washing. Low pH during the monsoon maybe attributed to dilution of the rivers caused by influx of freshwater brought about by heavy rains. Conversely, high pH during winter months may be attributed to low water International Research Journal of Environment Sciences______________________________________________ ISSN 2319–1414 Vol. 4(5), 6-11, May (2015) Int. Res. J. Environment Sci. International Science Congress Association 8 level. TDS was found to be highest during pre-monsoon (48.6 µS/ppm from Site-2) and lowest during the monsoon (24.67 µS/ppm from Site-3). This trend may be attributed to the reason that during pre-monsoon periods the river water recedes thereby increasing the solute concentrations. The observed values of TDS were within the permissible level. Maximum value of electrical conductivity was recorded from Site-2 (72.41 µS/ppm) with the least value recorded from Site-3 (51.97 µS/ppm). Differences in electrical conductivity result mainly from the concentration of the charged ions in solution, and to a lesser degree from ionic composition and temperature20. Concentration of dissolved oxygen was high during post-monsoon and low during monsoon with the maximum concentration recorded from Site-3(8.22 ppm) and minimum concentration recorded from Site-2(4.85 ppm). The values were moderate and in accordance with the statement that most of the tropics is characterised by water temperature that corresponds to low oxygen content at saturation due to high metabolic rates21. Higher concentration of DO during the winter months (post-monsoon) may be due to low water temperature, which increases oxygen holding capacity of water. The reason for low concentration of DO during monsoon may be due to high metabolic rate of aquatic organisms. FCO2 was maximum during monsoon (9.43ppm from Site-2) and minimum during post-monsoon (4.52ppm from Site-1). Similar trend of DO was observed by other workers22. Low values of phosphate were recorded in the present study which varied within a narrow range (0.02 ppm to 0.10 ppm), this is indicative of unpolluted status of the rivers and less anthropogenic activities in the sampling sites. The highest value was recorded from Site-2 (0.1ppm) during post-monsoon and least value from Site-1 and Site-3 (0.02ppm) during monsoon. In the present study alkalinity was represented by bicarbonate alkalinity. Alkalinity showed maximum during monsoon (47.60 ppm from Site-3) while it showed low value during the post-monsoon (24.23 ppm from Site-2).Such lower alkalinity values were also reported from the rivers of Meghalaya23.Alkalinity is influenced by geology, salts and certain plant activities. The present study recorded sixty two fishes represented by seven orders, fifteen families and thirty two genera from the rivers under study. Systematic list, relative abundance and conservation status of the species is presented in table-2. Order Cypriniforms showed maximum diversity contributing to 78.13 % of species followed by Siluriformes (10.94 %) and Perciformes (4.69%). Whereas, least diversity was shown by orders Anguilliformes (1.56%), Beloniformes (1.56%), Synbranchiformes (1.56%) and Tetraodontiformes (1.56 %). Studies by other workers24,25 in different water bodies also found Cyprinids to be the most dominant group. Assessment of the conservation status of the 62 fish as per IUCN red list26 showed one species as Endangered (EN), five species as Vulnerable (VU), three species as Near Threatened (NT) and the remaining fifty five species as Least Concern(LC) with one species falling under Data Deficient (DD). Table-1 Physico-chemical characteristics (Mean±SD) of three Rivers during the study period 2011-2013Seasons Stations Air tempt. C) Water tempt. C) Turbidity (NTU) pH TDS (ppm) Conductivity (µS/cm) DO (ppm) Free CO2 (ppm) PO-3 (mg/l) Alkalinity (ppm) Pre-monsoon Site-1 28.73 ±0.47 24.57 ±0.55 2.67 ±0.50 7.73 ±0.10 45.80 ±1.11 70.20 ±0.75 6.90 ±0.20 4.52 ±0.18 0.04 ±0.01 28.07 ±0.40 Site-2 28.55 ±0.64 26.43 ±0.51 3.30 ±0.26 8.33 ±0.11 48.60 ±0.60 72.41 ±1.75 6.47 ±0.20 4.94 ±0.20 0.06 ±0.01 27.13 ±0.25 Site-3 27.95 ±1.48 21.67 ±0.83 2.33 ±0.49 7.43 ±0.19 44.55 ±0.97 67.64 ±0.34 7.24 ±0.41 5.03 ±0.15 0.05 ±0.01 26.70 ±0.20 Monsoon Site-1 31.1 ±0.14 28.53 ±0.47 3.47 ±0.21 7.13 ±0.15 27.69 ±2.06 52.33 ±1.75 5.25 ±0.36 7.25 ±0.21 0.02 ±0.01 47.10 ±0.36 Site-2 32.95 ±2.47 28.30 ±0.52 4.00 ±0.10 7.5 ±0.44 26.74 ±0.65 53.39 ±2.29 4.85 ±0.16 9.43 ±0.57 0.03 ±0.01 44.57 ±0.40 Site-3 32.03 ±0.91 27.80 ±0.26 3.03 ±0.06 6.68 ±0.19 24.67 ±0.66 51.97 ±2.25 5.1 ±0.30 6.93 ±0.21 0.02 ±0.01 47.60 ±0.62 Post-monsoon Site-1 25 ±1.77 20.97 ±0.35 3.07 ±0.38 8.31 ±0.15 45.86 ±0.86 68.23 ±0.59 8.22 ±0.22 5.39 ±0.29 0.09 ±0.01 26.23 ±0.78 Site-2 24.95 ±0.49 21.47 ±0.50 3.50 ±0.10 8.73 ±0.06 44.71 ±1.18 69.86 ±3.02 7.98 ±0.50 6.04 ±0.15 0.10 ±0.03 24.23 ±0.61 Site-3 22.67 ±2.31 19.77 ±0.25 2.64 ±0.44 8.10 ±0.26 43.31 ±1.13 66.59 ±2.23 8.35 ±0.10 4.60 ±0.36 0.08 ±0.01 25.93 ±0.12 International Research Journal of Environment Sciences______________________________________________ ISSN 2319–1414 Vol. 4(5), 6-11, May (2015) Int. Res. J. Environment Sci. International Science Congress Association 9 The RA of small indigenous fish Devario aequipinnatus (5.09%), Amblypharyngodon mola (4.36%), Barilius bendelisis (4.65%) and Schistura skimaiensis (4.22%) was found to be high in the rivers under study indicating its abundance and dominance. Species under different conservation categories like Devario assamensis (VU) and Tor tor (NT) showed high RA with values 3.05% and 3.15% respectively, which indicates the stability of their population in spite of natural and anthropogenic threats in the sampling sites. Other species with fairly high RA were Garra nasuta (3.20%), Danio rerio (3.78%), Psilorhynchus balitora (3.59%), Lepidocephalichthys guntea (3.97%), Xenentodon cancila (3.73%) and Channa gachua (3.49%). It has been observed that highest number of catch was recorded during winter and post-monsoon compared to the other seasons. Probable reason may be attributed to receding water level of the rivers, which enhances the fish-catch intensity. Shannon diversity index showed high values (table-3) with narrow range of variation from 3.43 to 3.88. Highest value of was recorded from river site-1 (3.88) suggesting maximum diversity followed by Site-3 (3.28) and site-1(3.43). The higher diversity index indicates a balance between total species and total individuals of every species. Shannon’s equitability () index which was used to measure the evenness of species varied from 0.68 to 0.78 with maximum value recorded from site-1 followed by site-2 and site-3. High diversity in sampling sites may be correlated to the physical habitat of the rivers which changes almost constantly along its stretch, it alternate between rapid riffles and shallow short pools, which leads to increase in diversity of physical habitat resulting in greater habitat niches. Conclusion On the basis of above findings, it can be inferred that the rivers investigated during the present study, are still free from pollution and the record of sixty two fish species indicates a rich fish diversity. However, interview with local fishermen brought to light on some concerns. They reported a decline in catches during recent years which clearly imply that the fish fauna of the region is under threat. Destruction and degradation of fish habitat and over exploitation are the potential threats to fish population besides other drivers. Sand mining and boulder removal cause a significant destruction in habitat which is a common sight in the rivers under study. Jhum cultivation in catchment areas causes influx of silt into the streams which also leads to the destruction of habitat. Unscientific fishing like use of chemical pesticides, fishing during breeding season further aggravates the problem. Use of chemical pesticides is of particular significance, it causes loss of not only fish but the entire aquatic community as pesticides are carried along the stretch of the river killing the non-target species as well. Further, chemical laced water pose risk to human and animals. Other anthropogenic activities like disposal of domestic waste from semi-urban area, widespread use of detergent for bathing and washing adversely affects fish population. Pollution due to coal mining is blamed for decline in fish species in Kopili river system. Paucity of data from these rivers clouds the estimation of fish decline rate in the recent years. There is an urgent need to further study hill streams of Karbi Anglong district for better management and conservation. The present study will help in monitoring water quality, fish diversity, threat perceptions and serve as baseline information for further research in the region. This will impress on general people and government agencies the need and urgency to conserve hill streams of Karbi Anglong district and adopt sustainable fishing practices. Acknowledgement The authors are thankful to Institutional Biotech Hub, funded by the Department of Biotechnology, Government of India for support. References 1.Vishwanath W., Ng H.H., Britz R., Singh L.K., Chaudhry S. and Conway K.W., The status and distribution of freshwater fishes of the Eastern Himalaya region, In: The Status and Distribution of Freshwater Biodiversity in the Eastern Himalaya, Compilers, D.J. Allen, S. Molur and B.A. Daniel, IUCN, Cambridge, UK and Gland, Switzerland, 23 (2010) 2.Kottelat M. and Whitten T., Freshwater biodiversity in Asia with special reference to Fish, World Bank technical paper no, 343, 36 (1996)3.Kottelat M., Zoogeography of the fishes from Indochinese inland waters with an annotated checklist, Bulletin Zoölogisch Museum, 12(1): 1–54 (1989) 4.Vishwanath W., Fishes of North east India, A field guide to species identification, Manipur: National Agricultural Technology Project, Manipur University,1 (2002)5.Dudgeon D., Arthington A.H., Gessner M.O., Kawabata Z.I., Knowler D.J., Le´veˆque C., Naiman R.J., Prieur-Richard A.H., Soto D., Stiassny M.L.J. and Sullivan C.A., Freshwater biodiversity: importance, threats, status and conservation challenges, Biol Rev., 81,163–182 (2006)6.Tripathy M., Biodiversity of Chilika and its conservation, Odisha, India, International Research Journal of Environment Sciences, 1(5), 54-57 (2012)7.Mikia M., Mady-Goma Dirat I., Tsoumou A., Mabanza J., Vouidibio J. and Diatewa M., Preliminary Data on the Ichtyofaun of Djiri River(Affluent of right bank of Congo River), International Research Journal of Environment Sciences, 2(10), 1-6 (2013)8.Pethiyagoda R., Threats to the indigenous freshwater fishes of Sri Lanka and remarks on their conservation, Hydrobiologia, 285, 189-201 (1994) 9.Dudgeon D., Conservation of freshwater biodiversity in Oriental Asia: Constraints, Conflicts, and Challenges to science and sustainability, Asia Oceania Report, 1, 237-243 (2000) International Research Journal of Environment Sciences______________________________________________ ISSN 2319–1414 Vol. 4(5), 6-11, May (2015) Int. Res. J. Environment Sci. International Science Congress Association 10 Table-2 The systematic list of fish species collected in different rivers under study (2011-2013) Name of the species Family Threat status Total catch Relative abundance (%) Anguilla bengalensis (Gray) Anguillidae NT 12 0.58 Amblypharyngodon mola (Hamilton) Cyrinidae LC 90 4.36 Cabdio jaya (Hamilton) Cyrinidae LC 9 0.44 Cabdio morar (Hamilton) Cy rinidae LC 9 0.44 Barilius barila (Hamilton) Cyrinidae LC 21 1.02 Barilius bendelisis (Hamilton) Cyrinidae LC 96 4.65 Opsarius dogarsinghi Hora Cyrinidae VU 9 0.44 Opsarius barna (Hamilton) Cyrinidae LC 21 1.02 Opsarius tileo (Hamilton) Cyrinidae LC 1 5 0.73 Bariliusvagra (Hamilton) Cyrinidae LC 16 0.78 Davario aequipinnatus (McClelland) Cyrinidae LC 105 5.09 Devarioassamensis (Barman) Cyrinidae VU 63 3.05 Devario devario (Hamilton) Cyrinidae LC 33 1.60 Devario naganensis Chaudhuri Cyrinidae VU 21 1. 02 Puntius sophore (Hamilton) Cyrinidae VU 42 2.04 Danio dangila (Hamilton) Cyrinidae LC 15 0.73 Danio rerio (Hamilton) Cyrinidae LC 78 3.78 Esomus dandrica (Hamilton) Cyrinidae LC 21 1.02 Rasbora rasbora (Hamilton) Cyrinidae LC 29 1.41 Bangana dero (Hamilton) Cyrinidae LC 6 0.29 Chagunius chagunio (Hamilton) Cyrinidae LC 23 1.11 Labeo pangusia (Hamilton) Cyrinidae NT 14 0.68 Labeo bata (Hamilton) Cyrinidae LC 12 0.58 Labeo dyocheilus (McClelland) Cyrinidae LC 13 0.63 Neolissocheilus hexagonolepi s (McClelland) Cyrinidae NT 9 0.44 Tor putitora (Hamilton) Cyrinidae EN 7 0.34 Tor tor (Hamilton) Cyrinidae NT 65 3.15 Crossocheilus latius (Hamilton) Cyrinidae LC 52 2.52 Crossocheilus burmanicus Hora Cyrinidae LC 6 0.29 Garra gotyla (Gray) Cyrinidae LC 15 0.73 Garra lamta (Hamilton) Cyrinidae LC 26 1.26 Garra lissorhynchus (McClelland) Cyrinidae LC 14 0.68 Garra naganensis Hora Cyrinidae LC 17 0.82 Garra nasuta (McClelland) Cyrinidae LC 66 3.20 Garra kempi Hora Cyrinidae LC 12 0.58 Psilorhynchu s balitora (Hamilton) Psilorhynchidae LC 74 3.59 Psilorhynchus hameloptera HoraandMukherji Psilorhynchidae LC 20 0.97 Psilorhynchus sucatio (Hamilton) Psilorhynchidae LC 12 0.58 Acanthocobitis botia (Hamilton) Nemacheilidae LC 55 2.67 Schistura naganen sis (Menon) Nemacheilidae VU 23 1.11 Schistura rupecula McClelland Nemacheilidae LC 7 0.34 Schistura skimaiensis (Hora) Nemacheilidae LC 87 4.22 Botia almorhae Gray Botiidae LC 4 2.08 Botia dario (Hamilton) Botiidae LC 43 1.36 Botia histrionica Blyth Botiidae LC 28 1.65 Botia rostrata G ü nther Botiidae VU 34 0.19 Lepidocephalichthysirrorata (Hora) Cobitidae LC 16 0.78 Lepidocephalicthys annandalei Chaudhuri Cobitidae LC 51 2.47 Lepidocephalicthys guntea (Hamilton) Cobitidae LC 82 3.97 Amblyceps mang ois ( Hamilton) Amblycipitidae LC 14 0.68 Conta conta (Hamilton) Erethistidae DD 10 0.48 Erethistes pusillus Muller andTroshel Sisoridae LC 12 0.58 Glyptothoraxcavia (Hamilton) Sisoridae LC 8 0.24 International Research Journal of Environment Sciences______________________________________________ ISSN 2319–1414 Vol. 4(5), 6-11, May (2015) Int. Res. J. Environment Sci. International Science Congress Association 11 Glyptothorax saisii ( Jenkins ) Sisoridae VU 5 0.39 Glypto thorax platypogonides (Bleeker) Sisoridae LC 17 0.82 Glyptothorax telchitta Blyth Sisoridae LC 24 1.16 Xenontodoncancila (Hamilton) Belonidae LC 77 3.73 Mastacembelus armatus (Lacepède) Mastacembelidae LC 84 4.07 Badis badis (Hamilton) Badidae LC 16 0.7 8 Glossogobius guiris (Hamilton) Gobiidae LC 57 2.76 Channa gachua Bloch and Schneider Channidae LC 72 3.49 Leiodon cutcutia (Hamilton) Tetradontidae LC 14 0.68 EN- Endangered, VU- Vulnerable, NT- Near Threatened, LC- Least Concern, DD- Data Deficient Table-3 Community structure of the rivers under studyDiversity indices Sampling sites Longnit Jamuna Amreng Species richness 47 29 46 Total catch 146 112 149 Shannon-Weiner index (H) 3.88 3.28 3.43 Species evenness 0.78 0.70 0.68 10.Das B. and Sharma S., Ichthyofaunal diversity of river Jamuna, Karbi Anglong, Assam, India. The Clarion, 1(1), 65-69 (2012)11.Das B. and Sharma S., A Comparison of Fish Diversity of Kopili and Jamuna Rivers of Karbi Anglong District, Assam. The Science probe, 1(1), 21-29 (2012)12.APHA., Standard Methods for the Examination of water and Waste water, American Public Health Association, 21st Ed., (2005) 13.Jayaram K.C., The Freshwater fishes of the Indian Region, 2nd edition, Delhi, Narendra Publishing House, (2010)14.Vishwanath W., Fishes of North east India. A field guide to species identification, Manipur: National Agricultural Technology Project, Manipur University, 2 (2002)15.www.fishbase.org, (2014) 16.Dubey S., Analysis of Physico-Chemical Parameters of Kshipra river Water at Ujjain, India. International Research Journal of Environment Sciences, 2(7), 1-4 (2013) 17.Das J.N. and Biswas S.P., Ecology and Diversity of Fishes in the Lotic Habitats of Upper Brahmaputra Basin In: Biodiversity, Ecology and Conservation of North East India, Edited by Laishram Kosygin, Akansha Publishing House, New Delhi, 25-41 (2011)18.Chaudhury S. and Huntsoe N., Ecology and Diversity of fishes and amphibian fauna of torrential streams of Wokha District, Nagaland, India In: Biodiversity, Ecology and Conservation of North East India, Edited by Laishram Kosygin, Akansha Publishing House, New Delhi, 65-82 (2011)19.Dutta R. and Dutta A., Study on certain ecological aspects of Namsang stream, Arunachal Pradesh, Biodiversity, Ecology and Conservation of North East India, Edited by Laishram Kosygin, Akansha Publishing House, New Delhi, 116-122 (2011)20.Allan J.D., Structure and function of running waters, Second Edition. Springer, AA Dordrecht, The Netherlands, 60 (2007)21.Dudgeon D., Aquatic ecosystems: tropical stream ecology. Elsevier Science, London, UK, 9 (2008) 22.Singh D. and Jangde A.K., Studies of Physico-Chemical Parameter of River Belgirinalla, CG, INDIA, International Research Journal of Environment Sciences, 2(3), 41-45 (2013) 23.Gurumayum S.D., Daimari P., Goswami B., Sarkar S.A. and Choudhury M., Observations on physico-chemical qualities of water and plankton of rivers in Meghalaya, J. Inland Fish. Soc. India, 34(2), 36-42 (2002)24.Kumar N., Study of Ichthyofaunal Biodiversity of Turkaulia Lake, East-Champaran, Bihar, India, International Research Journal of Environment Sciences, 1(2), 21-24 (2012)25.Kumar Naik A.S., Benakappa S., Somashekara S.R., Anjaneyappa H.N., Jitendra Kumar., Mahesh V., Srinivas H. Hulkoti and Rajanna K.B., Studies on Ichthyofaunal Diversity of Karanja Reservoir, Karnataka, India, International Research Journal of Environment Sciences, 2(2), 38-43 (2013)26.IUCN 2014, IUCN Red List of Threatened Species. Version 2014.2., Electronic Database accessible at http://www.iucnredlist.org/. Captured on 24 July 2014, (2014)