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Biological assessment of some wadable rivers in Turkey using fish data: a statistical approach

  • Mehmet Borga ErgönülEmail author
  • Jan Breine
  • Ericia Van den Bergh
  • Hümeyra Bahçeci
Article
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Abstract

In this study, we present a preliminary multimetric fish-based index (Index of Biotic Integrity; IBI) developed using a reliable statistical approach for some wadable rivers in four river basins in Turkey. Fish and abiotic data were collected according to standard methods. A total of 33 fish species were caught in the whole sampling area. Fish species were assigned to different guilds. Candidate metrics were selected from the literature and metric values were calculated. Sampling sites were preclassified into habitat status classes representing various levels of anthropogenic pressures. The responsivity of the candidate metrics was tested with linear mixed regression models. Correlation tests were performed to avoid redundancy among responsive metrics. Finally, six metrics (Shannon–Wiener diversity index, relative percentage of intolerant, invasive alien, invertivorous, and rheophilic individuals and number of benthic species) were selected. Selected metrics were scored using the continuous scoring approach. The IBI values were calculated by summing up the final metric scores. Then the IBI values were transformed into ecological quality ratio (EQR) values. We did not observe a “high” integrity class in the whole sampling area. The index was proven to be responsive to anthropogenic pressures and environmental variables tested using several approaches, including correlation analysis, graphical examination of the final metrics patterns and comparing the EQR classes with the habitat status assignment. The index, with minor adjustments, has a potential to be used as an assessment tool for different data sets in wadable rivers in Turkey. Furthermore, the statistical design used here can be applied to other river basins in Turkey or any other country with similar data limitations.

Keywords

Biotic integrity River management Environmental degradation Fish-based index Ecological status 

Notes

Acknowledgements

Authors are grateful to S. Cevher Özeren (Ph.D.) and Ronald Fricke (Ph.D.) for their assistance on the confirmation of some fish specimens. A part of this study was conducted in INBO (Research Institute of Nature and Forest) in Belgium. Mehmet Borga Ergönül was supported by TUBITAK during his stay in INBO. M.B. Ergonul is grateful to Michelle Thomas and Eren Karakoc for their kind helps during his stay in Brussels.

Funding

A part of this study was supported by the Republic of Turkey, Abolished Ministry of Forestry and Water Affairs, the General Directorate of Water Management (Determination of Basin Monitoring Points Project).

References

  1. Aksever, F., Davraz, A., & Karagüzel, R. (2015). Groundwater balance estimation and sustainability in the Sandıklı Basin (Afyonkarahisar/Turkey). Journal of Earth System Science,124, 783–798.CrossRefGoogle Scholar
  2. APHA. (2012). Standard methods for the examination of water and waste water (22nd ed.). Washington, DC: American Public Health Association.Google Scholar
  3. Aparicio, E., Carmona-Catot, G., Moyle, P. B., & García-Berthou, E. (2011). Development and evaluation of a fish-based index to assess biological integrity of Mediterranean streams. Aquatic Conservation: Marine and Freshwater Ecosystems, 21(4), 324–337.CrossRefGoogle Scholar
  4. Ayaz, S. Ç., Aktaş, Ö., Dağlı, S., Aydöner, C., Atasoy Aytış, E., & Akça, L. (2013). Pollution loads and surface water quality in the Kızılırmak Basin, Turkey. Desalination and Water Treatment,51(7–9), 1533–1542.CrossRefGoogle Scholar
  5. Azevedo, L. B., van Zelm, R., Leuven Hendriks, J., & Huijbregts, M. A. J. (2015). Combined ecological risks of nitrogen and phosphorus in European freshwaters. Environmental Pollution,200, 85–92.CrossRefGoogle Scholar
  6. Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language,59, 390–412.CrossRefGoogle Scholar
  7. Baba, A., & Tayfur, G. (2011). Groundwater contamination and its effect on health in Turkey. Environmental Monitoring and Assessment,183, 77–94.CrossRefGoogle Scholar
  8. Benejam, L., Angermeier, P. L., Munne, A., & Garcia-Berthou, E. (2010). Assessing effects of water abstraction on fish assemblages in Mediterranean streams. Freshwater Biology,55(3), 628–642.CrossRefGoogle Scholar
  9. Bilgin, A., & Konanç, M. U. (2016). Evaluation of surface water quality and heavy metal pollution of Çoruh River Basin (Turkey) by multivariate statistical methods. Environmental Earth Sciences,75, 1029–1047.CrossRefGoogle Scholar
  10. Blocksom, K. A. (2003). A performance comparison of metric scoring methods for a multimetric index for Mid-Atlantic Highland streams. Environmental Management,31(5), 670–682.CrossRefGoogle Scholar
  11. Bolker, B. M., Brooks, M. E., Clark, C. J., Geange, S. W., Poulsen, J. R., Stevens, H., et al. (2009). Generalized linear mixed models: A practical guide for ecology and evolution. Trends in Ecology & Evolution,24, 127–135.CrossRefGoogle Scholar
  12. Bozzetti, M., & Schulz, U. H. (2004). An index of biotic integrity based on fish assemblages for subtropical streams in southern Brazil. Hydrobiologia,529, 133–144.CrossRefGoogle Scholar
  13. Breine, J., Quataert, P., Stevens, M., Ollevier, F., Volckaert, F. A. M., Van den Bergh, E., et al. (2010). A zone-specific fish-based biotic index as a management tool for the Zeeschelde estuary (Belgium). Marine Pollution Bulletin,60, 1099–1112.CrossRefGoogle Scholar
  14. Breine, J., Simoens, I., Goethals, P., Quataert, P., Ercken, D., Van Liefferinghe, C., et al. (2004). A fish-based index of biotic integrity for upstream brooks in Flanders (Belgium). Hydrobiologia,522, 133–148.CrossRefGoogle Scholar
  15. Breine, J., Van Thuyne, G., & De Bruyn, L. (2015). Development of a fish-based index combining data from different types of fishing gear. A case study of reservoirs in Flanders (Belgium). Belgian Journal of Zoology,145(1), 17–39.Google Scholar
  16. Burak, S. (2008). Evaluation of pollution abatement policies in the Marmara Sea with water quality monitoring. Asian Journal of Chemistry,20, 4117–4128.Google Scholar
  17. Burnham, K. P., & Anderson, D. R. (2004). Multimodal inference, understanding AIC and BIC in model selection. Sociological Methods and Research,33, 261–304.CrossRefGoogle Scholar
  18. CEN (European Committee for Standardization) EN 14011. (2003a). Water quality. Sampling of fish with electricity. Brussels: EN 14011. CEN.Google Scholar
  19. CEN, (European Committee for Standardization) EN 14757. (2003b). Water quality. Guidance on the scope and selection of fish sampling methods. Brussels: EN 14757. CEN.Google Scholar
  20. Cheimonopoulou, M. T., Bobori, D. C., Theocharopoulos, I., & Lazaridou, M. (2011). Assessing ecological water quality with macroinvertebrates and fish: A case study from a small Mediterranean river. Environmental Management,47, 279–290.CrossRefGoogle Scholar
  21. Çiçek, E., Birecikligil, S. S., & Fricke, R. (2015). Freshwater fishes of Turkey, a revised and updated annotated checklist. Biharean Biologist,9(2), 141–157.Google Scholar
  22. Daga, V. S., Gubiani, E. A., Cunico, A. M., & Baumgartner, G. (2012). Effects of abiotic variables on the distribution of fish assemblages in streams with different anthropogenic activities in southern Brazil. Neotropical Ichthyology,10(3), 643–652.CrossRefGoogle Scholar
  23. Dauwalter, D. C., & Jackson, J. R. (2004). A provisional fish-index of biotic integrity for assessing Oauchita mountains streams in Arkansas U.S.A. Environmental Monitoring and Assessment,91, 27–57.CrossRefGoogle Scholar
  24. Delpech, C., Courrat, A., Pasquaud, S., Lobry, J., Le Pape, O., Nicolas, D., et al. (2010). Development of a fish-based index to assess the ecological quality of transitional waters, the case of French estuaries. Marine Pollution Bulletin,60, 908–918.CrossRefGoogle Scholar
  25. Dolph, C. L., Sheshukov, A. Y., Chizinski, C. J., Vondracek, B., & Wilson, B. (2010). The Index of Biological Integrity and the bootstrap, Can random sampling error affect stream impairment decisions? Ecological Indicators,10, 527–537.CrossRefGoogle Scholar
  26. EFI+Consortium. (2009). Manual for the application of the new European fish index-EFI+. A fish-based method to assess the ecological status of European running waters in support of the Water Framework Directive.Google Scholar
  27. Einheuser, M. D., Nejadhashemi, A. P., Wang, L., Sowa, S. P., & Woznicki, S. A. (2013). Linking biological integrity and watershed models to assess the impacts of historical land use and climate changes on stream health. Environmental Management,51, 1147–1163.CrossRefGoogle Scholar
  28. Ekmekçi, F. G., Kırankaya, Ş. G., Gençoğlu, L., & Yoğurtçuoğlu, B. (2013). Türkiye içsu balıklarının güncel durumu ve istilanın etkilerinin değerlendirilmesi. İstanbul Üniversitesi Su Ürünleri Dergisi,28, 105–140. (in Turkish).Google Scholar
  29. Ergönül, M. B., Breine, J., & Van den Bergh, E. (2018). A technical guide to develop a statistically valid fish-based index in compliance with the Water Framework Directive: An evaluation for Turkish freshwaters. International Aquatic Research.  https://doi.org/10.1007/s40071-018-0209-2.CrossRefGoogle Scholar
  30. Erk’akan, F., & Akgül, M. (1986). Kızılırmak Havzası Ekonomik Balık Stoklarının Belirlenmesi. Doğa Türk Veterinerlik ve Hayvancılık Dergisi,10(3), 239–250. (in Turkish).Google Scholar
  31. EU Water Framework Directive. (2000). Directive of the European parliament and of the council 2000/60/EC establishing a framework for community action in the field of water policy. Official Journal of the European Communities,22(12), 327/1.Google Scholar
  32. Falcone, J. A., Carlisle, D. M., & Weber, L. C. (2010). Quantifying human disturbance in watersheds, Variable selection and performance of a GIS-based disturbance index for predicting the biological condition of perennial streams. Ecological Indicators,10, 264–273.CrossRefGoogle Scholar
  33. Fame Consortium. (2004). Manual for the application of the European fish index-EFI, a fish based method to assess method to assess the ecological status of European rivers in support of the Water Framework Directive. Version 1.1, January 2005.Google Scholar
  34. Fausch, K. D., Lyons, J., Karr, J. R., & Angermeier, P. L. (1990). Fish communities as indicators of environmental degradation. American Fisheries Society Symposium,8, 123–144.Google Scholar
  35. Figuerola, B., Maceda-Veiga, A., & De Sostoa, A. (2012). Assessing the effects of sewage effluents in a Mediterranean creek: Fish population features and biotic indices. Hydrobiologia,694, 75–86.CrossRefGoogle Scholar
  36. Flinders, C., Horwitz, R., & Belton, T. (2008). Relationship of fish and macroinvertebrate communities in the mid-Atlantic uplands, implications for integrated assessments. Ecological Indicators,8, 588–598.CrossRefGoogle Scholar
  37. Freund, J. G., & Petty, J. T. (2007). Response of fish and macroinvertebrate bioassessment indices to water chemistry in a mined Appalachian watershed. Environmental Management,39, 707–720.CrossRefGoogle Scholar
  38. Geldiay, R., & Balık, S. (2002). Freshwater fishes of Turkey (IV ed., p. 532). Izmir: Ege University Press.Google Scholar
  39. Gernes, M. C., & Helgen, J. C. (2002). Indices of biological integrity (IBI) for large depressional wetlands in Minnesota. St. Paul, MN: Minnesota Pollution Control Agency. Biological Monitoring Program, Environmental Outcomes Division, Minnesota.Google Scholar
  40. Güçlü, S. S., & Küçük, F. (2015). The Ichthyofauna of Gediz River (Turkey), Taxonomic and zoogeographic features. Annual Research and Review in Biology,6, 202–214.CrossRefGoogle Scholar
  41. Hammer, O., Harper, D. A. T., & Ryan, P. D. (2001). PAST, paleontological statistics software package for education and data analysis. Palaeontologia Electronica,4, 1–9.Google Scholar
  42. Hued, A. C., & Bistoni, M. A. (2005). Development and validation of a Biotic Index for evaluation of environmental quality in the central region of Argentina. Hydrobiologia,543, 279–298.CrossRefGoogle Scholar
  43. Innal, D., & Erk’akan, F. (2006). Effects of exotic and translocated fish species in the inland waters of Turkey. Reviews in Fish Biology and Fisheries,16, 39–50.CrossRefGoogle Scholar
  44. ISO 5667-6. (2014). Water quality—Sampling. Part 6: Guidance on sampling of rivers and streams. Geneva: International Organization for Standardization.Google Scholar
  45. Jepsen, N., & Pont, D. (2007). Intercalibration of fish-based methods to evaluate river ecological quality, report from an EU intercalibration pilot exercise. Luxembourg: Office for Official Publications of the European Communities.Google Scholar
  46. Karr, J. R. (1981). Assessment of biotic integrity using fish communities. Fisheries,6(6), 21–27.CrossRefGoogle Scholar
  47. Kennard, M. J., Arthington, A. H., Pusey, B. J., & Harch, B. D. (2005). Are alien fish a reliable indicator of river health? Freshwater Biology,50, 174–193.CrossRefGoogle Scholar
  48. Landsberg, J. H. (2002). The effects of harmful algal blooms on aquatic organisms. Reviews in Fisheries Science,10(2), 113–390.CrossRefGoogle Scholar
  49. Launois, L., Veslot, J., Irz, P., & Argillier, C. (2011). Selecting fish-based metrics responding to human pressures in French natural lakes and reservoirs, towards the development of a fish-based index (FBI) for French lakes. Ecology of Freshwater Fish,20(1), 120–132.CrossRefGoogle Scholar
  50. Leuven, R. S. E. W., & Oyen, F. G. F. (1987). Impact of acidification and eutrophication on the distribution of fish species in shallow and lentic soft waters of The Netherlands, an historical perspective. Journal of Fish Biology,31(6), 753–774.CrossRefGoogle Scholar
  51. Magurran, A. E. (2004). Measuring biological diversity (p. 264). Hoboken: Blackwell Publishing.Google Scholar
  52. Marshall, S., & Elliott, M. (1998). Environmental influences on the fish assemblage of the Humber estuary, U.K. Estuarine, Coastal and Shelf Science,46(2), 175–184.CrossRefGoogle Scholar
  53. Morrison, G., Fatoki, O. S., Persson, L., & Ekberg, A. (2001). Assessment of the impact of point source pollution from the Keiskammahoek Sewage Treatment Plant on the Keiskamma River - pH, electrical conductivity, oxygen- demanding substance (COD) and nutrients. Water SA, 27(4).Google Scholar
  54. Mostafavi, H., Schinegger, R., Melcher, A., Moder, K., Mielach, C., & Schmutz, S. (2015). A new fish-based multi-metric assessment index for cyprinid streams in the Iranian Caspian Sea Basin. Limnologica,51, 37–52.CrossRefGoogle Scholar
  55. Nakagawa, S., & Schielzeth, H. (2013). A general and simple method for obtaining R2 from generalizes linear mixed-effects models. Methods in Ecology and Evolution,4, 133–142.CrossRefGoogle Scholar
  56. NBMSR - National Basin Management Strategy Report. (2012). Ministry of Forestry and Water Management, April 19th 2012. pp. 50.Google Scholar
  57. Noble, R. A. A., Cowx, I. G., Goffaux, D., & Kestemont, P. (2007). Assessing the health of European rivers using functional ecological guilds of fish communities, standardizing species classification and approaches to metric selection. Fisheries Management and Ecology,14, 381–392.Google Scholar
  58. Oberdorff, T., Pont, D., Hugueny, B., & Porcher, J. P. (2002). Development and validation of a fish-based index for the assessment of ‘river health’ in France. Freshwater Biology,47, 1720–1734.CrossRefGoogle Scholar
  59. Pirhalla, D. E. (2004). Evaluating fish-habitat relationships for refining regional indexes of biotic integrity, development of a tolerance index of habitat degradation for Maryland stream fishes. Transactions of the American Fisheries Society,133, 144–159.CrossRefGoogle Scholar
  60. Pont, D., Hugueny, B., & Rogers, C. (2007). Development of a fish-based index for the assessment of river health in Europe, the European Fish Index. Fisheries Management and Ecology,14(6), 427–439.CrossRefGoogle Scholar
  61. Posthuma, L., & De Zwart, D. (2006). Predicted effects of toxic mixtures are confirmed by changes in fish species assemblages in Ohio, USA, Rivers. Environmental Toxicology and Chemistry,25(4), 1094–1105.CrossRefGoogle Scholar
  62. Quataert, P., Verschelde, P., Breine, J., Verbeke, G., Goetghebeur, E., & Ollevier, F. (2011). A diagnostic modelling framework to construct indices of biotic integrity, A case study of fish in the Zeeschelde estuary (Belgium). Estuarine, Coastal and Shelf Science,94, 222–233.CrossRefGoogle Scholar
  63. R Development Core Team. (2018). R: A language and environment for statistical computing. Vienna: Foundation for Statistical Computing.Google Scholar
  64. RBPAP - River Basin Protection Action Plans Project. (2013). Republic of Turkey, Ministry of Forestry and Water Affairs. Gebze, Kocaeli: TUBITAK-MAM, Environment and Cleaner Production.Google Scholar
  65. Schinegger, R., Trautwein, C., Melcher, A., & Schmutz, S. (2012). Multiple human pressures and their spatial patterns in European running waters. Water and Environment Journal,26, 261–273.CrossRefGoogle Scholar
  66. Schinegger, R., Trautwein, C., & Schmutz, S. (2013). Pressure-specific and multiple pressure response of fish assemblages in European running waters. Limnologica,43, 348–361.CrossRefGoogle Scholar
  67. Schmutz, S., Cowx, I. G., Haidvogl, G., & Pont, D. (2007). Fish-based methods for assessing European running waters, a synthesis. Fisheries Management and Ecology,14, 369–380.CrossRefGoogle Scholar
  68. Schnier, S., Cai, X., & Cao, Y. (2016). Importance of natural and anthropogenic environmental factors to fish communities of the fox river in Illinois. Environmental Management,57, 389–411.CrossRefGoogle Scholar
  69. Simberloff, D., Martin, J. L., Genovesi, P., Maris, V., Wardle, D., Aronson, J., et al. (2013). Impacts of biological invasions, what’s what and the way forward. Trends in Ecology & Evolution,28, 58–66.CrossRefGoogle Scholar
  70. Tabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics (3rd ed., p. 880). New York: Harper Collins Publishers.Google Scholar
  71. Teixeira-de Mello, F., Meerhoff, M., González-Bergonzoni, I., Kristensen, E. A., Baattrup-Pedersen, A., & Jeppesen, E. (2016). Influence of riparian forests on fish assemblages in temperate lowland streams. Environmental Biology of Fishes,99, 133–144.CrossRefGoogle Scholar
  72. Tejerina-Garro, F. L., Maldonado, M., Ibañez, C., Pont, D., Roset, N., & Oberdorff, T. (2005). Effects of natural and anthropogenic environmental changes on riverine fish assemblages, a framework for ecological assessment of rivers. Brazilian Archives of Biology and Technology,48(1), 91–108.CrossRefGoogle Scholar
  73. TSI - Turkish Statistical Institute. (2017). Municipal wastewater data. Bulletin of the Turkish Statistical Institute (November 22), No, 24875.Google Scholar
  74. Van Wijk, F. J., Haye, M. A. A., Hehenkamp, M. J., Velde, I. A., de Bruin, E. F. L., & Schelleman, F. J. (2003). Su Çerçeve Direktifi’nin Türkiye’de Uygulanması, Uygulama El Kitabı (MAT01/TR/9/3) (in Turkish). pp. 32.Google Scholar
  75. Vogt, J., Colombo, R., Paracchini, M. L., de Jager, A., & Soille, P. (2003). CMM River and Catchment Database. EUR 20756 EN, EC-JRC, Inspra.Google Scholar
  76. Vogt, J., Soille, P., de Jaeger, A., Rimaviciute, E., Mehl, W., Foisneau, S., Bódis, K., Dusart, J., Paracchini, M. L., Haastrup, P., & Bamps, C. (2007). A Pan-European River and Catchment Database. EC-JRC (Report EUR 22920 EN), JRC Conference Reports; 40291. Luxembourg: Office for Official Publications of the European Communities.Google Scholar
  77. Wang, L., Robertson, D. M., & Garrison, P. J. (2007). Linkages between nutrients and assemblages of macroinvertebrates and fish in wadable streams, implication to nutrient criteria development. Environmental Management,39, 194–212.CrossRefGoogle Scholar
  78. Wetzel, R. G. (1975). Limnology (p. 743). Toronto: W.B. Saunders Company.Google Scholar
  79. Wolter, C. (2007). Temperature influence on the fish assemblage structure in a large lowland river, the lower Oder River, Germany. Freshwater Fish,16(4), 493–503.CrossRefGoogle Scholar
  80. Wu, W., Xu, Z., Yin, X., & Zuo, D. (2014). Assessment of ecosystem health based on fish assemblages in the Wei River basin, China. Environmental Monitoring and Assessment,186, 3701–3716.CrossRefGoogle Scholar
  81. Yerli, S. V., Kormaz, M., & Mangıt, F. (2016). Biological assessment by a fish-based index of biotic integrity for Turkish inland waters. In W. W. Taylor, D. M. Bartley, C. I. Goddard, N. J. Leonard & R. Welcomme (Eds.), Freshwater, fish and the future, Proceedings of the Global cross-sectoral conference. Food and Agriculture Organization of the United Nations, Rome; Michigan State University, East Lansing; and American Fisheries Society, Bethesda, Maryland (pp. 91–97).Google Scholar
  82. Zuur, A., Ieno, E. N., Walker, N., Saveliev, A. A., & Smith, G. M. (2009). Mixed effects models and extensions in ecology with R (p. 578). New York: Springer.CrossRefGoogle Scholar

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Authors and Affiliations

  1. 1.Department of Biology, Faculty of ScienceAnkara UniversityAnkaraTurkey
  2. 2.Instituut voor Natuur- en BosonderzoekBrusselsBelgium
  3. 3.Instituut voor Natuur- en BosonderzoekAnderlechtBelgium
  4. 4.Republic of Turkey, Ministry of Agriculture and ForestryAnkaraTurkey

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