Conservation Genetics

, Volume 14, Issue 6, pp 1255–1267 | Cite as

The impact of small irrigation diversion dams on the recent migration rates of steelhead and redband trout (Oncorhynchus mykiss)

  • Dana E. Weigel
  • Patrick J. Connolly
  • Madison S. Powell
Research Article


Barriers to migration are numerous in stream environments and can occur from anthropogenic activities (such as dams and culverts) or natural processes (such as log jams or dams constructed by beaver (Castor canadensis)). Identification of barriers can be difficult when obstructions are temporary or incomplete providing passage periodically. We examine the effect of several small irrigation diversion dams on the recent migration rates of steelhead (Oncorhynchus mykiss) in three tributaries to the Methow River, Washington. The three basins had different recent migration patterns: Beaver Creek did not have any recent migration between sites, Libby Creek had two-way migration between sites and Gold Creek had downstream migration between sites. Sites with migration were significantly different from sites without migration in distance, number of obstructions, obstruction height to depth ratio and maximum stream gradient. When comparing the sites without migration in Beaver Creek to the sites with migration in Libby and Gold creeks, the number of obstructions was the only significant variable. Multinomial logistic regression identified obstruction height to depth ratio and maximum stream gradient as the best fitting model to predict the level of migration among sites. Small irrigation diversion dams were limiting population interactions in Beaver Creek and collectively blocking steelhead migration into the stream. Variables related to stream resistance (gradient, obstruction number and obstruction height to depth ratio) were better predictors of recent migration rates than distance, and can provide important insight into migration and population demographic processes in lotic species.


Migration Isolation by resistance Isolation by distance Landscape genetics Steelhead 



Funding and materials were provided by the U. S. Bureau of Reclamation. We are grateful to the local landowners, G. Ott and V. Stokes, who allowed access to sites on Beaver Creek. M. Newsom provided valuable scientific direction to the project. G. Knott and M. Notaro provided support with local coordination and permitting. K. Martens, B. Fisher, W. Tibbits and N. Glasser assisted in data collection and operation of the weir and tag readers. J. Faler conducted the genetic analysis. Any use of trade names is for descriptive purposes only and does not imply endorsement by the U.S. Government.


  1. Akaike H (1973) Information theory and an extension of the maximum likelihood principle. In: Prtrov BN, Csaki F (eds) Second international symposium on information theory. Akademiai Kiado, Budapest, pp 267–281Google Scholar
  2. Allendorf FW, Luikart G (2007) Conservation and the genetics of populations. Blackwell Publishing, MaldenGoogle Scholar
  3. Allendorf FW, Leary RF, Spruell P, Wenburg JK (2001) The problems with hybrids: setting conservation guidelines. Trends Ecol Evol 16:613–622CrossRefGoogle Scholar
  4. Araki H, Ardren WR, Olsen E, Cooper B, Blouin MS (2007a) Reproductive success of captive-bred steelhead trout in the wild: evaluation of three hatchery programs in the Hood River. Conserv Biol 21:181–190PubMedCrossRefGoogle Scholar
  5. Araki H, Waples RS, Ardren WR, Cooper B, Blouin MS (2007b) Effective population size of steelhead trout: influence of variance in reproductive success, hatchery programs, and genetic compensation between life history forms. Mol Ecol 16:953–966PubMedCrossRefGoogle Scholar
  6. Bernhardt ES et al (2005) Synthesizing U.S. river restoration efforts. Science 308:636–637PubMedCrossRefGoogle Scholar
  7. Bjornn TC, Reiser DW (1991) Habitat requirements of salmonids in streams. Am Fish Soc Special Publ 19:83–138Google Scholar
  8. Burnham KP, Anderson DR (1998) Model selection and inference: an information-theoretic approach. Springer, New YorkCrossRefGoogle Scholar
  9. Christie MR, Marine ML, Blouin MS (2011) Who are the missing parents? Grandparentage analysis identifies multiple sources of gene flow into a wild population. Mol Ecol 20:1263–1276PubMedCrossRefGoogle Scholar
  10. Costello AB, Down TE, Pollard SM, Pacas CJ, Taylor EB (2003) The influence of history and contemporary stream hydrology on the evolution of genetic diversity within species: an examination of microsatellite DNA variation in bull trout, Salvelinus confluentus (Pisces: Salmonidae). Evolution 57:328–344PubMedGoogle Scholar
  11. Crooks KR, Sanjayan MA (eds) (2006) Connectivity and conservation. Cambridge University Press, CambridgeGoogle Scholar
  12. Cushman SA, McKelvey KS, Hayden J, Schwartz MK (2006) Gene flow in complex landscapes: testing multiple hypotheses with causal modeling. Am Nat 168:486–499PubMedCrossRefGoogle Scholar
  13. Epifanio JM, Hooe M, Buck DH, Philipp DP (1999) Reproductive success and assortative mating among Pomoxis species and their hybrids. Trans Am Fish Soc 128:104–120CrossRefGoogle Scholar
  14. Faubet P, Gaggiotti OE (2008) A new Bayesian method to identify the environmental factors that influence recent migration. Genetics 178:1491–1504PubMedCrossRefGoogle Scholar
  15. Faubet P, Waples R, Gaggiotti OE (2007) Evaluating the performance of a multilocus Bayesian method for the estimation of migration rates. Mol Ecol 16:1149–1166PubMedCrossRefGoogle Scholar
  16. Fausch KD, Rieman BE, Dunham JB, Young MK, Peterson DP (2009) Invasion versus isolation: trade-offs in managing native salmonids with barriers to upstream movement. Conserv Biol 23:859–870PubMedCrossRefGoogle Scholar
  17. Hanski IA, Gilpin ME (eds) (1996) Metapopulation biology: ecology, genetics, and evolution. Academic Press, New YorkGoogle Scholar
  18. Heath DD, Busch C, Kelly J, Atagi DY (2002) Temporal change in genetic structure and effective population size in steelhead trout (Oncorhynchus mykiss). Mol Ecol 11:197–214PubMedCrossRefGoogle Scholar
  19. Hendry AP, Stearns SC (eds) (2004) Evolution illuminated Salmon and their relatives. Oxford University Press, New YorkGoogle Scholar
  20. Kalinowski ST (2005) HP-RARE: a computer program for performing rarefaction on measures of allelic diversity. Mol Ecol Notes 5:187–189CrossRefGoogle Scholar
  21. Kalinowski ST, Wagner AP, Taper ML (2006) ML-RELATE: a computer program for maximum likelihood estimation of relatedness and relationship. Mol Ecol Notes 6:576–579CrossRefGoogle Scholar
  22. Kettunen M, Terry A, Tucker G, Jones A (2007) Guidance on the maintenance of landscape connectivity features of major importance for wild flora and fauna. Institute for European Environmental Policy (IEEP), BrusselsGoogle Scholar
  23. Legendre P (1993) Spatial autocorrelation: trouble or new paradigm? Ecology 74:1659–1673CrossRefGoogle Scholar
  24. Martens KD, Connolly PJ (2010) Effectiveness of a redesigned water diversion using rock vortex weirs to enhance longitudinal connectivity for small salmonids. North Am J Fish Manag 30:1544–1552CrossRefGoogle Scholar
  25. McClure MM, Holmes EE, Sanderson BL, Jordan CE (2003) A large-scale multispecies status assessment: anadromous salmonids in the Columbia River Basin. Ecol Appl 13:964–989CrossRefGoogle Scholar
  26. McCullough DR (ed) (1996) Metapopulations and wildlife conservation. Island Press, Washington, p 429Google Scholar
  27. Meeuig MH, Guy CS, Kalinowski ST, Fredenberg WA (2010) Landscape influences on genetic differentiation among bull trout populations in a stream-lake network. Mol Ecol 19:3620–3633CrossRefGoogle Scholar
  28. Miller LM, Close T, Kapuscinski AR (2004) Lower fitness of hatchery and hybrid rainbow trout compared to naturalized populations in Lake Superior tributaries. Mol Ecol 13:3379–3388PubMedCrossRefGoogle Scholar
  29. Moyle PB, Williams JE (1990) Biodiversity loss in the temperate zone: decline of the native fish fauna of California. Conserv Biol 4:275–284CrossRefGoogle Scholar
  30. Narum SR, Contor C, Talbot A, Powell MS (2004) Genetic divergence of sympatric resident and anadromous forms of Oncorhynchus mykiss in the Walla Walla River, USA. J Fish Biol 65:471–488CrossRefGoogle Scholar
  31. Narum SR, Zendt JS, Graves DG, Sharp WR (2008) Influence of landscape on resident and anadromous life history types of Oncorhynchus mykiss. Can J Fish Aquat Sci 65:1013–1023CrossRefGoogle Scholar
  32. Neville HM, Dunham JB, Peacock MM (2006a) Landscape attributes and life history variability shape genetic structure of trout populations in a stream network. Landsc Ecol 21:901–916CrossRefGoogle Scholar
  33. Neville HM, Isaak DJ, Dunham JB, Thurow RF, Rieman BE (2006b) Fine-scale natal homing and localized movement as shaped by sex and spawning habitat in Chinook salmon: insights from spatial autocorrelation analysis of individual genotypes. Mol Ecol 15:4589–4602PubMedCrossRefGoogle Scholar
  34. Nielsen JL, Byrne A, Graziano SL, Kozfkay CC (2009) Steelhead genetic diversity at multiple spatial scales in a managed basin: Snake River, Idaho. North Am J Fish Manag 29:680–701CrossRefGoogle Scholar
  35. Novinger DC, Rahel FJ (2003) Isolation management with artificial barriers as a conservation strategy for cutthroat trout in headwater streams. Conserv Biol 17:772–781CrossRefGoogle Scholar
  36. Olsen JB, Wilson SL, Kretschmer EJ, Jones KC, Seeb JE (2000) Characterization of 14 tetranucleotide microsatellite loci derived from sockeye salmon. Mol Ecol 9:2185–2187PubMedCrossRefGoogle Scholar
  37. Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945–959PubMedGoogle Scholar
  38. R Development Core Team (2010) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0.
  39. Rannala B, Mountain JL (1997) Detecting immigration by using multilocus genotypes. Proc Natl Acad Sci USA 94:9197–9201PubMedCrossRefGoogle Scholar
  40. Raymond M, Rousset F (1995) GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. J Hered 86:248–249Google Scholar
  41. Reed DH, Frankham R (2003) Correlation between fitness and genetic diversity. Conserv Biol 17:230–237CrossRefGoogle Scholar
  42. Rexroad CE, Coleman RL, Gustafson AL, Hershberger WK, Killefer J (2002) Development of rainbow trout microsatellite markers from repeat enriched libraries. Mar Biotechnol 4:12–16PubMedCrossRefGoogle Scholar
  43. Rhymer JM, Simberloff D (1996) Extinction by hybridization and introgression. Annu Rev Ecol Syst 27:83–189CrossRefGoogle Scholar
  44. Rice WR (1989) Analyzing tables of statistical tests. Evolution 43:223–225CrossRefGoogle Scholar
  45. Richter BD, Braun DP, Mendelson MA, Master LL (1997) Threats to imperiled freshwater fauna. Conserv Biol 11:1081–1093CrossRefGoogle Scholar
  46. Sheer MB, Steel EA (2006) Lost watersheds: barriers, aquatic habitat connectivity, and salmon persistence in the Willamette and Lower Columbia River Basins. Trans Am Fish Soc 135:1654–1669CrossRefGoogle Scholar
  47. Smouse PE, Peakall R (1999) Spatial autocorrelation analysis of individual multiallele and multilocus genetic structure. Heredity 82:561–573PubMedCrossRefGoogle Scholar
  48. Spear S, Balkenhol N, Fortin M, McRae BH, Scribner K (2010) Use of resistance surfaces for landscape genetic studies: considerations for parameterization and analysis. Mol Ecol 19:3576–3591PubMedCrossRefGoogle Scholar
  49. Stephenson JJ et al (2009) A centralized model for creating shared, standardized, microsatellite data that simplifies inter-laboratory collaboration. Conserv Genet 10:1145–1149CrossRefGoogle Scholar
  50. Swindell WR, Bouzat JL (2005) Modeling the adaptive potential of isolated populations: experimental simulations using Drosophila. Evolution 59:2159–2169PubMedGoogle Scholar
  51. Thrower FP, Hard JJ, Joyce JE (2004) Genetic architecture of growth and early life-history transitions in anadromous and derived freshwater populations of steelhead. J Fish Biol 65(Suppl A):286–307CrossRefGoogle Scholar
  52. Thurow RF, Lee DC, Rieman BE (1997) Distribution and status of seven native salmonids in the interior Columbia River Basin and portions of the Klamath River and Great Basins. North Am J Fish Manag 17:1094–1110CrossRefGoogle Scholar
  53. Weigel DE (2013) Colonization of steelhead (Oncorhynchus mykiss) after barrier removal in a tributary to the Methow River, WA. Ph.D. Thesis. University of Idaho, MoscowGoogle Scholar
  54. Weigel DE, Sorensen PW (2001) The influence of habitat characteristics on the longitudinal distribution of brook, brown and rainbow trout in a small Midwestern stream. J Freshw Ecol 16:599–613CrossRefGoogle Scholar
  55. Weigel DE, Connolly PJ, Martens KD, Powell MS (2013) Colonization of steelhead in a natal stream after barrier removal. Trans Am Fish Soc 142:920–930CrossRefGoogle Scholar
  56. Wilson GA, Rannala B (2003) Bayesian inference of recent migration rates using multilocus genotypes. Genetics 163:1177–1191PubMedGoogle Scholar
  57. Wright S (1943) Isolation by distance. Heredity 28:114–138Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht (outside the USA) 2013

Authors and Affiliations

  • Dana E. Weigel
    • 1
  • Patrick J. Connolly
    • 2
  • Madison S. Powell
    • 3
  1. 1.Snake River Area OfficeBureau of ReclamationMoscowUSA
  2. 2.Columbia River Research Laboratory, Western Fisheries Research CenterU. S. Geological SurveyCookUSA
  3. 3.Aquaculture Research InstituteUniversity of IdahoHagermanUSA

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