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Response of Fish Communities to Abiotic Factors in Western Ramganga, Kumaun Lesser Himalaya, India


Affiliations
1 ICAR-Directorate of Coldwater Fisheries Research, Bhimtal 263 136, India
 

Abiotic factors in the riverine ecosystem are important in structuring fish communities along the longitudinal gradients. Quantitative data on species abundance were collected during October 2015–September 2016 in the mountain stretch of the River Western Ramganga from Kumaun Lesser Himalayas, India. Multivariate analyses were done to study the relationship between fish assemblages and abiotic parameters. Cluster analysis and non-metric multidimensional scaling indicated two distinct groups in the upstream and downstream zones. The composition of fish assemblages in different zones was found to be strongly associated with habitat characteristics. Canonical correspondence analysis revealed species abundance association with temperature, conductivity, stream width and altitude. Further analysis showed conductivity–altitude combination as the primary factor determining the longitudinal distribution of species composition in the studied stretch of this river. The present study aids in understanding the factors that determine the spatial segregation of species for the restoration, conservation and management of aquatic resources.

Keywords

Abiotic Factors, Assemblage Structure, Fish Communities, Multivariate Analysis, Riverine Ecosystem.
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  • Gorman, O. T. and Karr, J. R., Habitat structure and stream fish communities. Ecology, 1978, 59, 507–515; doi:10.2307/1936581.

  • Grenouillet, G., Pont, D. and Seip, K. L., Abundance and species richness as a function of food resources and vegetation structure: juvenile fish assemblages in rivers. Ecography, 2002, 25, 641–650; doi:10.1034/j.1600-0587.2002.250601.x.

  • Beecher, H. A., Dott, E. R. and Fernau, R. F., Fish species richness and stream order in Washington State streams. Environ. Biol. Fish., 1988, 22, 193–209; doi:10.1007/BF00005381.

  • Araujo, F. G., Pinto, B. C. T. and Teixeira, T. P., Longitudinal patterns of fish assemblages in a large tropical river in southeastern Brazil: evaluating environmental influences and some concepts in river ecology. Hydrobiologia, 2009, 618, 89–107; doi:10.1007/s10750-008-9551-5.

  • Johnson, J. A., Parmar, R., Ramesh, K., Sen, S. and Murthy, R. S., Fish diversity and assemblage structure in Ken River of Panna landscape, Central India. J. Threat. Taxa, 2012, 4(13), 3161–3172.

  • Karr, J. R., Biological integrity a long neglected aspect of water resource management. Ecol. Appl., 1991, 1, 66–87.

  • Pusey, B. J., Arthington, A. H. and Read, M. G., Spatial and temporal variation in fish assemblage structure in the Mary River, south-eastern Queensland: the influence of habitat structure. Environ. Biol. Fish., 1993, 37, 355–380; doi:10.1007/BF00005204.

  • Fu, C., Wu, J., Chen, J., Wu, Q. and Lei, G., Freshwater fish bio-diversity in the Yangtze River basin of China: patterns, threats and conservation. Biodivers. Conserv., 2003, 12, 1649–1685.

  • Finlay, J. C., Stream size and human influences on ecosystem production in river networks. Ecosphere, 2011, 2(8), 1–21; doi:10.1890/ES11-00071.1.

  • Jackson, D. A., Peres-Neto, P. R. and Olden, J. D., What controls who is where in freshwater fish communities – the roles of biotic, abiotic, and spatial factors. Can. J. Fish. Aquat. Sci., 2001, 58, 157–170; doi:10.1139/cjfas-58-1-157.

  • Seth, R., Mohan, M., Singh, P., Singh, R., Dobhal, R., Singh, K. P. and Gupta, S., Water quality evaluation of Himalayan Rivers of Kumaun region, Uttarakhand, India. Appl. Water Sci., 2016, 6(2), 137–147; doi:10.1007/s13201-014-0213-7.

  • Sehgal, K. L., Coldwater fish and fisheries in the Indian Himalayas: rivers and streams. In Fish and Fisheries at Higher Altitudes: Asia (ed. Petr, T.), FAO Fisheries Technical Paper No. 385, FAO, Rome, 1999, pp. 41–63.

  • Joshi, P. C., Status of fish conservation in River Ramganga. In Threatened Fishes of India (eds Dehadrai, P. V., Das, P. and Verma, S. R.), Natcon Publication No. 4, 1994, pp. 349–353.

  • Sarkar, U. K. et al., Freshwater fish biodiversity in the River Ganga (India): changing pattern, threats and conservation perspectives. Rev. Fish Biol. Fish., 2012, 22(1), 251–272; doi:10.1007/s11160-011-9218-6.

  • Sharma, R. C., Fish diversity and their ecological status in protected areas of Uttaranchal. In Protected Habitats and Biodiversity (ed. Verma, S. R.), Nature Conservators Publication, 2003, pp. 617–638.

  • Neebling, T. E. and Quist, M. C., Relationships between fish assemblages and habitat characteristics in Iowa’s non-wadeable rivers. Fish. Manage. Ecol., 2010, 17, 369–385; doi:10.1111/j.1365-2400.2010.00730.x.

  • Arunachalam, M., Assemblage structure of stream fishes in the Western Ghats (India). Hydrobiologia, 2000, 430, 1–31; doi:10.1023/A:1004080829388.

  • Bhat, A., Patterns in the distribution of freshwater fishes in rivers of Central Western Ghats, India and their associations with environmental gradients. Hydrobiologia, 2004, 529, 83–97; doi:10.1007/s10750-004-4949-1.

  • Talwar, P. K. and Jhingran, A. G., Inland Fishes of India and Adjacent Countries, Oxford IBH Publication, New Delhi, 1991, vols 1 and 2, p. 1158.

  • Jayaram, K. C., The Fresh Water Fishes of Indian Region, Narendra Publication, New Delhi, India, 1999, p. 551.

  • Bray, J. R. and Curtis, J. T., An ordination of the upland forest communities of southern Wisconsin. Ecol. Monogr., 1957, 27, 325–349.

  • Clarke, K. R., Non-parametric multivariate analysis of changes in community structure. Aust. J. Ecol., 1993, 18, 117–143.

  • ter Braak, C. J. E. and Verdonschot, P. E. M., Canonical correspondence analysis and related multivariate methods in aquatic ecology. Aquat. Sci., 1995, 57(3), 1015–1621.

  • Clarke, K. R. and Ainsworth, M., A method of linking multivariate community structure to environmental variables. Mar. Ecol. Prog. Ser., 1993, 92, 205–219.

  • Clarke, K. R. and Warwick, R. M., Changes in Marine Communities: An Approach to Statistical Analysis and Interpretation, PRIMER-E: Playmouth, 2001, 2nd edn, p. 172.

  • Hammer, Ø., Harper, D. A. T. and Ryan, P. D., PAST: paleontological statistics software package for education and data analysis. Palaeontol. Electron., 2001, 4(1), 9; http://palaeo-lectronica.org/2001_1/past/issue1_01.htm

  • Johnson, J. A. and Arunachalam, M., Diversity, distribution and assemblage structure of fishes in streams of southern Western Ghats, India. J. Threat. Taxa, 2009, 1(10), 507–513.

  • Atkore, V. M., Sivakumar, K. and Johnsingh, A. J. T., Patterns of diversity and conservation status of freshwater fishes in the tributaries of River Ramganga in the Shiwaliks of the Western Himalaya. Curr. Sci., 2011, 100(5), 731–736.

  • Rahel, F. J. and Hubert, W. A., Fish assemblages and habitat gradients in a Rocky Mountain-Great Plains stream: biotic zonation and additive patterns of community change. Trans. Am. Fish. Soc., 1991, 120, 319–332.

  • Poff, N. L. and Allan, J. D. Functional organization of stream fish assemblages in relation to hydrological variability. Ecology, 1995, 76, 606–627.

  • Taylor, C. M., Fish species richness and incidence patterns in isolated and connected stream pools: effects of pool volume and spatial position. Oecologia, 1997, 110, 560–566.

  • Peres-Neto, P. R., Patterns in the co-occurrence of fish species in streams: the role of site suitability, morphology and phylogeny versus species interactions. Oecologia, 2004, 140, 352–360.

  • Oberdorff, T., Pont, D., Hugueny, B. and Chessel, D., A probabilistic model characterizing fish assemblages of French rivers: a framework for environmental assessment. Freshwater Biol., 2001, 46, 399–415; http://dx.doi.org/10.1046/j.1365-2427.2001.00669.x.

  • Barila, T. Y., Williams, R. D. and Stauffer Jr, J. R., The influence of stream order and selected stream bed parameters on fish diversity in Raystown branch, Susquehanna River drainage, Pennsylvania. J. Appl. Ecol., 1981, 18, 125–131.

  • Paller M. H., Relationships between fish assemblage structure and stream order in South Carolina coastal plain streams. Trans. Am. Fish. Soc., 1994, 123, 150–161.

  • Terui, A. and Miyazaki, Y., Three ecological factors influencing riverine fish diversity in the Shubuto River system, Japan: habitat capacity, habitat heterogeneity and immigration. Limnology, 2016, 17, 143–149; doi:10.1007/s10201-015-0472-5.

  • Pool, T. K., Olden, J. D., Whittier, J. B. and Paukert, C. P., Environmental drivers of fish functional diversity and composition in the Lower Colorado River Basin. Can. J. Fish. Aquat. Sci., 2010, 67, 1791–1807.

  • Molur, S. and Walker, S. (eds), Report of the workshop on Conservation Assessment and Management Plan for Freshwater Fishes of India, Zoo Outreach Organisation, Conservation Breeding Specialist Group, Coimbatore, 1998, p. 156.


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  • Response of Fish Communities to Abiotic Factors in Western Ramganga, Kumaun Lesser Himalaya, India

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Authors

Shahnawaz Ali
ICAR-Directorate of Coldwater Fisheries Research, Bhimtal 263 136, India
N. N. Pandey
ICAR-Directorate of Coldwater Fisheries Research, Bhimtal 263 136, India
Prem Kumar
ICAR-Directorate of Coldwater Fisheries Research, Bhimtal 263 136, India
Ravindar Posti
ICAR-Directorate of Coldwater Fisheries Research, Bhimtal 263 136, India
A. K. Singh
ICAR-Directorate of Coldwater Fisheries Research, Bhimtal 263 136, India

Abstract


Abiotic factors in the riverine ecosystem are important in structuring fish communities along the longitudinal gradients. Quantitative data on species abundance were collected during October 2015–September 2016 in the mountain stretch of the River Western Ramganga from Kumaun Lesser Himalayas, India. Multivariate analyses were done to study the relationship between fish assemblages and abiotic parameters. Cluster analysis and non-metric multidimensional scaling indicated two distinct groups in the upstream and downstream zones. The composition of fish assemblages in different zones was found to be strongly associated with habitat characteristics. Canonical correspondence analysis revealed species abundance association with temperature, conductivity, stream width and altitude. Further analysis showed conductivity–altitude combination as the primary factor determining the longitudinal distribution of species composition in the studied stretch of this river. The present study aids in understanding the factors that determine the spatial segregation of species for the restoration, conservation and management of aquatic resources.

Keywords


Abiotic Factors, Assemblage Structure, Fish Communities, Multivariate Analysis, Riverine Ecosystem.

References





DOI: https://doi.org/10.18520/cs%2Fv114%2Fi10%2F2181-2188