Environmental Biology of Fishes

, Volume 84, Issue 2, pp 175–181 | Cite as

Effect of damming on distribution of rainbow trout in Hokkaido, Japan



Rainbow trout introduced into Hokkaido in 1920 have become widely distributed due to extensive release into many reservoirs and lakes for sport-fishing; their presence often results in reductions of native fish populations. We analyzed and predicted the relationship between the probability of occurrence of rainbow trout and the proximity of dams (or attributed reservoirs), using a database of the presence or absence of rainbow trout collected during 1960–2004 in Hokkaido to clarify the spread patterns of exotic species (e.g., rainbow trout) due to large-scale damming over a long period. Rainbow trout were abundant in streams within approximately 10 km of dams in recent years, regardless of whether the stream was up- or down-stream from the dam and after accounting for the effects of other environmental variables (e.g. elevation, population density, and survey year). A delayed increase in trout occurrence below dams as compared with above dams suggests that the occurrence below dams may be largely due to escapement of stocked populations and a continuously increasing abundance since 1970. The management of dams and reservoirs is necessary to prevent further spread of rainbow trout because they can threaten habitats of native Japanese salmonids through various mechanisms.


Damming Exotic fish Generalized additive model Hokkaido Rainbow trout 


  1. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Automat Contr 19:716–723 doi: 10.1109/TAC.1974.1100705 CrossRefGoogle Scholar
  2. Benenati PL, Shannon JP, Blinn DW (1998) Desiccation and recolonization of phytobenthos in a regulated desert river: Colorado River at Lees Ferry, Arizona, USA. Regul Rivers Res Manage 14:519–532 doi: 10.1002/(SICI)1099-1646(1998110)14:6<519::AID-RRR518>3.0.CO;2-H CrossRefGoogle Scholar
  3. Blinn DW, Shannon JP, Stevens LE, Carder JP (1995) Consequences of fluctuating discharge for lotic communities. J N Am Benthol Soc 14:233–248 doi: 10.2307/1467776 CrossRefGoogle Scholar
  4. Coleman MA, Fausch KD (2007) Cold summer temperature regimes cause a recruitment bottleneck in age-0 Colorado River cutthroat trout reared in laboratory streams. Trans Am Fish Soc 136:639–654 doi: 10.1577/T05-288.1 CrossRefGoogle Scholar
  5. Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24:38–49 doi: 10.1017/S0376892997000088 CrossRefGoogle Scholar
  6. Fukushima M, Kameyama S, Kaneko M, Nakao K, Steel EA (2007) Modelling the effects of dams on freshwater fish distributions in Hokkaido, Japan. Freshw Biol 52:1511–1524 doi: 10.1111/j.1365-2427.2007.01783.x CrossRefGoogle Scholar
  7. Hastie T, Tibshirani RJ (1990) Generalized additive models. Chapman & Hall, LondonGoogle Scholar
  8. Hikita T, Kameyama S, Kobayashi A, Sata Y (1959) Some biological observations on the rainbow trout Salmongairdneri irideus in the Nishibetsu River, with special reference to the consumption of salmon eggs and fry by predaceaous fishes. Bull Natl Inst Salmon Hatch 14:91–121Google Scholar
  9. Holmquist JG, Schmidt-Gengenbach JM, Yoshioka BB (1998) High dams and marine-freshwater linkages: Effects on native and introduced fauna in the Caribbean. Conserv Biol 12:621–630 doi: 10.1046/j.1523-1739.1998.96427.x CrossRefGoogle Scholar
  10. Joy MK, Death RG (2001) Control of freshwater fish and crayfish community structure in Taranaki, New Zealand: dams, diadromy or habitat structure? Freshw Biol 46:417–429 doi: 10.1046/j.1365-2427.2001.00681.x CrossRefGoogle Scholar
  11. Kaeriyama H (2002) Salmo trutta. In: The Ecological Society of Japan (ed) Handbook of alien species in Japan. Chijinshokan Press, TokyoGoogle Scholar
  12. Kolar CS, Lodge DM (2002) Ecological predictions and risk assessment for alien fishes in North America. Science 298:1233–1236 doi: 10.1126/science.1075753 PubMedCrossRefGoogle Scholar
  13. Lamberti G, Gregory S, Aahkenas L, Wildman R, Moore K (1991) Stream ecosystem recovery following a catastrophic debris flow. Can J Fish Aquat Sci 48:196–208 doi: 10.1139/f91-027 CrossRefGoogle Scholar
  14. Legendre P, Fortin MJ (1989) Spatial pattern and ecological analysis. Vegetatio 80:107–138 doi: 10.1007/BF00048036 CrossRefGoogle Scholar
  15. Lichstein JW, Simons TR, Shriner SA, Franzreb KE (2002) Spatial autocorrelation and autoregressive models in ecology. Ecol Monogr 72:445–463CrossRefGoogle Scholar
  16. Marchetti MP, Lockwood JL, Light T (2006) Effects of urbanization on California’s fish diversity: differentiation, homogenization and the influence of spatial scale. Biol Conserv 127:310–318 doi: 10.1016/j.biocon.2005.04.025 CrossRefGoogle Scholar
  17. Martinez PJ, Chart TE, Trammell MA, Wullschleger JG, Bergersen EP (1994) Fish species composition before and after construction of a main stem reservoirs on the White River, Colorado. Environ Biol Fishes 40:227–239 doi: 10.1007/BF00002509 CrossRefGoogle Scholar
  18. Morita K, Tsuboi J, Hiroyuki M (2004) The impact of exotic trout on native charr in a Japanese stream. J Appl Ecol 41:962–972 doi: 10.1111/j.0021-8901.2004.00927.x CrossRefGoogle Scholar
  19. Neter J, Kutner MH, Nachtsheim CJ, Wasserman W (1996) Applied linear regression models, 3rd edn. Times Mirror Higher Education Group, Inc., ChicagoGoogle Scholar
  20. Padilla DK, Chotkowski MA, Buchan LAJ (1996) Predicting the spread of zebra mussels (Dreissena polymorpha) to inland waters using boater movement patterns. Glob Ecol Biogeogr 5:353–359 doi: 10.2307/2997590 CrossRefGoogle Scholar
  21. Poff NL, Hart DD (2002) How dams vary and why it matters for the emerging science of dam removal. Bioscience 52:659–668 doi: 10.1641/0006-3568(2002)052[0659:HDVAWI]2.0.CO;2 CrossRefGoogle Scholar
  22. Quist MC, Hubert WA, Rahel FJ (2005) Fish assemblage structure following impoundment of a Great Plains River. West N Am Nat 65:53–63Google Scholar
  23. Raymond HL (1988) Effects of hydroelectric development and fisheries enhancement on spring and summer Chinook salmon and steelhead in the Columbia Basin. N Am J Fish Manage 8:1–24 doi: 10.1577/1548-8675(1988)008<0001:EOHDAF>2.3.CO;2 CrossRefGoogle Scholar
  24. Scheidegger KJ, Bain MB (1995) Larval fish distribution and microhabitat use in free-flowing and regulated rivers. Copeia 1:125–135 doi: 10.2307/1446807 CrossRefGoogle Scholar
  25. Stohlgren TJ, Barnett D, Flather C, Fuller P, Peterjohn B, Kartesz J et al (2006) Species richness and patterns of invasion in plants, birds, and fishes in the United States. Biological Invasions 8:427–447 doi: 10.1007/s10530-005-6422-0 CrossRefGoogle Scholar
  26. Swets JA (1988) Measuring the accuracy of diagnostic systems. Science 240:1285–1293 doi: 10.1126/science.3287615 PubMedCrossRefGoogle Scholar
  27. Takami T, Aoyama T (1999) Distributions of rainbow trout and brown trout in Hokkaido, northern Japan. Wildl Conserv Jpn 4:41–48Google Scholar
  28. Taniguchi Y, Fausch KD, Saito H (2000) Redd superimposition by introduced rainbow trout on native charrs in a Japanese stream. Ichthyol Res 47:149–156 doi: 10.1007/BF02684235 CrossRefGoogle Scholar
  29. Venables WN, Ripley BD (1994) Modern applied statistics with S-plus. Springer, New YorkGoogle Scholar
  30. Valdez RA, Hoffnagle TL, McIvor CC, McKinney T, Leibfried WC (2001) Effects of a test flood on fishes of the Colorado River in Grand Canyon, Arizona. Ecol Appl 11:686–700 doi: 10.1890/1051-0761(2001)011[0686:EOATFO]2.0.CO;2 CrossRefGoogle Scholar
  31. Walker KF (1985) A review of the ecological effects of river regulation in Australia. Hydrobiologia 125:111–129 doi: 10.1007/BF00045929 CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • Mideok Han
    • 1
  • Takehiko Fukushima
    • 2
  • Michio Fukushima
    • 3
  1. 1.Graduate School of Life and Environmental Science, Laboratory of Advanced Research A501University of TsukubaIbarakiJapan
  2. 2.Graduate School of Life and Environmental ScienceUniversity of TsukubaIbarakiJapan
  3. 3.National Institute for Environmental StudiesIbarakiJapan

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