Aquatic Sciences

, Volume 73, Issue 2, pp 233–245 | Cite as

Complex size-dependent habitat associations in potamodromous fish species

  • José Maria Santos
  • Luís Reino
  • Miguel Porto
  • João Oliveira
  • Paulo Pinheiro
  • Pedro Raposo Almeida
  • Rui Cortes
  • Maria Teresa Ferreira
Research Article

Abstract

Knowledge of the distribution of species life stages at multiple spatial scales is fundamental to both a proper assessment of species management and conservation programmes and the ability to predict the consequences of human disturbances for river systems. The habitat requirements of three native cyprinid species—the Iberian barbel Barbus bocagei Steindachner, the Iberian straight-mouth nase Pseudochondrostoma polylepis (Steindachner), and the Northern straight-mouth nase Pseudochondrostoma duriense (Coelho)—were examined at 174 undisturbed or minimally disturbed sites in 8 river catchments across western Iberia, by modelling occurrence and counts of species life stages at two spatial scales—large (regional) and instream (local)—using hurdle models. All the life stages of the barbel showed a negative association with upstream high-gradient river reaches, whereas juvenile P. duriense favoured such areas. Stream width and openness were negatively related with the occurrence of juvenile and small adult barbel, but not with large adults. Juvenile nase, on the other hand, were found to be mainly confined to fast-flowing habitats with high instream cover and coarser substrata. Advanced life stages of the barbel were mainly associated with the “pure” regional and shared components, whereas the purely local attributes accounted for much of the model variation among nases, in particular juveniles, and juvenile barbel. The results of this study are useful for setting or refining management goals, and highlight the need to separately consider life stages when performing conservation-related studies of species distribution.

Keywords

Life stage Regional/local environment PCA Hurdle models Variation partitioning Cyprinids 

References

  1. Agência Portuguesa do Ambiente (2007) Atlas do Ambiente Digital. http://www.iambiente.pt/atlas/est/index.jsp. Accessed 24 June 2008
  2. Alfaro ME, Huelsenbeck JP (2006) Comparative performance of Bayesian and AIC-based measures of phylogenetic model uncertainty. Syst Biol 55:89–96PubMedCrossRefGoogle Scholar
  3. Allan JD (2004) Landscapes and riverscapes: the influence of land use on stream ecosystems. Annu Rev Ecol Syst 35:257–284CrossRefGoogle Scholar
  4. Allan JD, Erickson DL, Fay J (1997) The influence of catchment land use on stream integrity across multiple spatial scales. Freshw Biol 37:149–161CrossRefGoogle Scholar
  5. Bain MB, Robinson CL (1988) Structure, performance, and assumptions of riverine habitat suitability index models. Aquatic Resources Research Series 88–3, Alabama Cooperative Fish and Wildlife Research Unit. Auburn University, AuburnGoogle Scholar
  6. Barbottin A, Tichit M, Cadet C, Makowski D (2010) Accuracy and cost of models predicting bird distribution in agricultural grasslands. Agr Ecosyst Environ 136:28–34CrossRefGoogle Scholar
  7. Borcard D, Legendre P, Drapeau P (1992) Partialling out the spatial component of ecological variation. Ecology 73:1045–1055CrossRefGoogle Scholar
  8. Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach. Springer, New YorkGoogle Scholar
  9. Carmona JA, Doadrio I, Márquez AL, Real R, Hugueny B, Vargas JM (1999) Distribution patterns of indigenous freshwater fishes in the Tagus River basin, Spain. Environ Biol Fish 54:371–387CrossRefGoogle Scholar
  10. CEN (Comité Européen de Normaliation) (2003) Water quality: sampling of fish with electricity. CEN, European Standard EN 14011. European Committee for Standardization, BrusselsGoogle Scholar
  11. Claeskens G, Hjort NL (2008) Model selection and model averaging. Cambridge University Press, CambridgeGoogle Scholar
  12. Copp GH (1989) Electrofishing for fish larvae and 0 + juveniles: equipment modifications for increased efficiency with short fishes. Aquac Res 20:453–462CrossRefGoogle Scholar
  13. Cragg JG (1971) Some statistical models for limited dependent variables with application to the demand for durable goods. Econometrica 39:829–844CrossRefGoogle Scholar
  14. Doadrio I (2001) Atlas y Libro Rojo de los Peces Continentales de España. Ministerio de Medio Ambiente, MadridGoogle Scholar
  15. Dollar ESJ, James CS, Rogers KH, Thoms MC (2006) A framework for interdisciplinary understanding of rivers as ecosystems. Geomorphology 89:147–162CrossRefGoogle Scholar
  16. Fausch KD, Hawkes CL, Parsons MG (1988) Models that predict standing crop of stream fish from habitat variables: 1950–85. General Technical Report PNW-GTR-213. US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR, p 52Google Scholar
  17. Fausch KD, Torgersen CE, Baxter CV, Li HW (2002) Landscapes to riverscapes: bridging the gap between research and conservation of stream fishes. Bioscience 52:483–498CrossRefGoogle Scholar
  18. Ferreira MT, Caiola N, Casals F, Oliveira J, Soatoa A (2007a) Assessing perturbation of river fish communities in the Iberian ecoregion. Fish Manag Ecol 14:519–530CrossRefGoogle Scholar
  19. Ferreira MT, Sousa L, Santos JM, Reino L, Oliveira J, Almeida PR, Cortes RV (2007b) Regional and local environmental correlates of native Iberian fish fauna. Ecol Freshw Fish 16:504–514CrossRefGoogle Scholar
  20. Franklin AB, Anderson DR, Gutierrez RJ, Burnham KP (2000) Climate, habitat quality, and fitness in northern spotted owl populations in northwestern California. Ecol Monogr 70:539–590CrossRefGoogle Scholar
  21. Frissell CA, Liss WJ, Warren CE, Hurley MD (1986) A hierarchical framework for stream habitat classification: viewing streams in a watershed context. Environ Manage 10:199–214CrossRefGoogle Scholar
  22. Godinho FN, Ferreira MT, Santos JM (2000) Variation in fish community composition along an Iberian river basin from low to high discharge: relative contributions of environmental and temporal variables. Ecol Freshw Fish 9:22–29CrossRefGoogle Scholar
  23. Gorman OT, Karr JR (1978) Habitat structure and stream fish communities. Ecology 59:507–515CrossRefGoogle Scholar
  24. Hitt NP, Angermeier PL (2008) River-stream connectivity affects fish bioassessment performance. Environ Manage 42:132–150PubMedCrossRefGoogle Scholar
  25. Huston MA (1999) Local processes and regional patterns: appropriate scales for understanding variation in the diversity of plants and animals. Oikos 86:393–401CrossRefGoogle Scholar
  26. Jobling M (1995) Environmental biology of fishes. Chapman and Hall, LondonGoogle Scholar
  27. Joy MK, Death RG (2002) Predictive modelling of freshwater fish as a biomonitoring tool in New Zealand. Freshw Biol 47:2261–2275CrossRefGoogle Scholar
  28. Jurajda P (1999) Comparative nursery habitat use by 0+ fish in a modified lowland river. Regul River 15:113–124CrossRefGoogle Scholar
  29. Lammert M, Allan JD (1999) Assessing biotic integrity of streams: effects of scale in measuring the influence of land use/cover on habitat structure on fish and macroinvertebrates. Environ Manage 23:257–270PubMedCrossRefGoogle Scholar
  30. Legendre P, Legendre L (1998) Numerical ecology. Elsevier Science, AmsterdamGoogle Scholar
  31. Lobb DM, Orth DJ (1991) Habitat use by an assemblage of fish in a large warmwater stream. Trans Am Fish Soc 120:65–78CrossRefGoogle Scholar
  32. Lobón-Cerviá J (1982) Population analysis of the Iberian nose (Chondrostoma polylepis Stein, 1865) in the Jarama river. Vie Milieu 32:139–148Google Scholar
  33. Lobón-Cerviá J, Fernandez-Delgado C (1984) On the biology of the barbel (Barbus barbus bocagei) in the Jarama river. Folia Zool 33:371–384Google Scholar
  34. Lucas MC, Baras E (2001) Migration of freshwater fishes. Blackwell Science, OxfordCrossRefGoogle Scholar
  35. Marsh-Matthews E, Matthews WJ (2000) Geographic, terrestrial and aquatic factors: which most influence the structure of stream fish assemblages in the Midwestern United States. Ecol Freshw Fish 9:9–21CrossRefGoogle Scholar
  36. Martin TG, Wintle BA, Rhodes JR, Kuhnert PM, Field SA, Low-Choy SJ, Tyre A, Possimgham HP (2005) Zero tolerance ecology: improving ecological inference by modelling the source of zero observations. Ecol Lett 8:1235–1246PubMedCrossRefGoogle Scholar
  37. Melcher A, Schmutz S, Haidvogl G, Moder K (2007) Spatially based methods to assess ecological status of European fish assemblage types. Fisheries Manag Ecol 14:453–463CrossRefGoogle Scholar
  38. Mesquita N, Coelho MM, Magalhães MT (2006) Spatial variation in fish assemblages across small Mediterranean drainages: effects of habitat and landscape context. Environ Biol Fish 77:105–120CrossRefGoogle Scholar
  39. Morán-López R, Da Silva E, Pérez-Bote JL, Amado CC (2006) Associations between fish assemblages and environmental factors for Mediterranean-type rivers during summer. J Fish Biol 69:1552–1569CrossRefGoogle Scholar
  40. Morgado R, Beja P, Reino L, Gordinho L, Delgado A, Borralho R, Moreira F (2010) Calandra lark habitat selection: strong fragmentation effects in a grassland specialist. Acta Oecol 36:63–73CrossRefGoogle Scholar
  41. Mugodo J, Kennard M, Liston P, Nichols S, Linke S, Norris RH, Lintermans M (2006) Local stream habitat variables predicted from catchment scale characteristics are useful for predicting fish distribution. Hydrobiologia 572:59–70CrossRefGoogle Scholar
  42. Nagelkerke NJD (1991) A note on a general definition of the coefficient of determination. Biometrika 78:691–692CrossRefGoogle Scholar
  43. Northcote TG (1978) Migratory strategies and production in freshwater fishes. In: Gerking SD (ed) Ecology of freshwater fish production. Blackwell, Oxford, pp 329–359Google Scholar
  44. Olden JD, Jackson DA (2002) A comparison of statistical approaches for modelling fish species distributions. Freshw Biol 47:1976–1995CrossRefGoogle Scholar
  45. Oliveira JM (2006) Biotic integrity of Iberian rivers based on fish assemblages. PhD Dissertation, Superior Agronomy InstituteGoogle Scholar
  46. Oliveira JM, Ferreira AP, Ferreira MT (2002) Intrabasin variations in age and growth of Barbus bocagei populations. J Appl Ichthyol 18:134–139CrossRefGoogle Scholar
  47. Ostrand KG, Wilde GR (2002) Seasonal and spatial variation in a prairie stream-fish assemblage. Ecol Freshw Fish 11:137–149CrossRefGoogle Scholar
  48. Pires AM, Cowx IG, Coelho MM (1999) Seasonal changes in fish community structure of intermittent streams in the middle reaches of the Guadiana basin, Portugal. J Fish Biol 54:235–249CrossRefGoogle Scholar
  49. Podlich HM, Faddy MJ, Smyth GK (2002) A general approach to modeling and analysis of species abundance data with extra zeros. J Agric Biol Environ S 7:324–334CrossRefGoogle Scholar
  50. Pollux BJ, Korosi A, Verberk WC, Pollux PM, Velde VD (2006) Reproduction, growth, and migration of fishes in a regulated lowland tributary: potential recruitment to the river Meuse. Hydrobiologia 565:105–120CrossRefGoogle Scholar
  51. Pont T, Hugueny B, Oberdorff T (2005) Modelling habitat requirement of European fishes: do species have similar responses to local and environmental constrains? Can J Fish Aquat Sci 62:163–173CrossRefGoogle Scholar
  52. 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. Fish Manag Ecol 14:427–439CrossRefGoogle Scholar
  53. Potts J, Elith J (2006) Comparing species abundance models. Ecol Model 199:153–163CrossRefGoogle Scholar
  54. Pusey BJ, Arthington AH (2003) Importance of the riparian zone to the conservation and management of freshwater fish: a review. Mar Freshw Res 54:1–16CrossRefGoogle Scholar
  55. R Development Core Team (2008) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.r-project.org
  56. Reino L (2005) Variation partitioning for range expansion of an introduced species: the common waxbill Estrilda astrild in Portugal. J Ornithol 146:377–382CrossRefGoogle Scholar
  57. Reino L, Beja P, Heitor AC (2006) Modelling spatial and environmental effects at the edge of the distribution: the red-backed shrike Lanius collurio in Northern Portugal. Divers Distrib 12:379–387CrossRefGoogle Scholar
  58. Ridout M, Demetrio C, Hinde J (1998) Models for count data with many zeros. In: Proceedings of the 19th international biometric conference, Cape Town, pp 179–192Google Scholar
  59. Root TL, Schneider SH (1995) Ecology and climate: research strategies and implications. Science 269:334–341PubMedCrossRefGoogle Scholar
  60. Roth NE, Allan JD, Erickson DL (1996) Landscape influences on stream biotic integrity assessed at multiple spatial scales. Landsc Ecol 11:141–156CrossRefGoogle Scholar
  61. Santos JM, Godinho FN, Ferreira MT, Cortes RV (2004) The organisation of fish assemblages in the regulated Lima basin, Northern Portugal. Limnologica 34:224–235CrossRefGoogle Scholar
  62. Santos JM, Ferreira MT, Godinho FN, Bochechas J (2005) Efficacy of a nature-like bypass channel in a Portuguese lowland river. J Appl Ichthyol 21:381–388CrossRefGoogle Scholar
  63. Santos JM, Ferreira MT, Pinheiro AN, Bochechas J (2006) Effects of small hydropower plants on fish assemblages in medium-sized streams in Central and Northern Portugal. Aquat Conserv 16:373–388CrossRefGoogle Scholar
  64. Schiemer F, Zalewski M, Thorpe J (1995) Land/inland water ecotones: intermediate habitats critical for conservation and management. Hydrobiologia 303:259–264CrossRefGoogle Scholar
  65. Schiemer F, Keckeis H, Kamler E (2003) The early life history stages of riverine fish: ecophysiological and environmental bottlenecks. Comp Biochem Phys A 133:439–449Google Scholar
  66. Schlosser IJ (1987) The role of predation in age and size related habitat use by stream fishes. Ecology 68:651–659CrossRefGoogle Scholar
  67. Schlosser IJ (1991) Stream fish ecology: a landscape perspective. Bioscience 41:704–712CrossRefGoogle Scholar
  68. Schlosser IJ (1995) Critical landscape attributes that influence fish population dynamics in headwater streams. Hydrobiologia 303:71–81CrossRefGoogle Scholar
  69. Schwarz G (1978) Estimating the dimension of a model. Ann Stat 6:461–464CrossRefGoogle Scholar
  70. StatSoft, Inc (2000) STATISTICA for Windows (computer program manual). StatSoft, Tulsa OklahomaGoogle Scholar
  71. Stauffer JC, Goldstein RM, Newman RM (2000) Relationship of wooded riparian zones and runoff potential to fish community composition in agricultural stream. Can J Fish Aquat Sci 57:307–316CrossRefGoogle Scholar
  72. Tonn WM, Magnuson JJ, Rask M, Toivonen J (1990) Intercontinental comparison of small-lake fish assemblages: the balance between local and regional processes. Am Nat 136:345–375CrossRefGoogle Scholar
  73. Tyre AJ, Tenhumberg B, Field SA, Niejalke D, Parris K, Possingham HP (2003) Improving precision and reducing bias in biological surveys: estimating false negative error rates. Ecol Appl 13:1790–1801CrossRefGoogle Scholar
  74. Welsh AH, Cunningham RB, Chambers RL (2000) Methodology for estimating the abundance of rare animals: seabird nesting on north east Herald Cay. Biometrics 56:22–30PubMedCrossRefGoogle Scholar
  75. Wiley MJ, Kohler SL, Seelbach PW (1997) Reconciling landscape and local views of aquatic communities: lessons from Michigan trout streams. Freshwater Biol 37:133–148CrossRefGoogle Scholar
  76. Zeileis A, Kleiber C, Jackman S (2008) Regression models for count data in R. J Stat Softw 27(8):1–25Google Scholar

Copyright information

© Springer Basel AG 2010

Authors and Affiliations

  • José Maria Santos
    • 1
  • Luís Reino
    • 1
    • 2
    • 3
    • 4
  • Miguel Porto
    • 5
  • João Oliveira
    • 6
  • Paulo Pinheiro
    • 1
    • 7
  • Pedro Raposo Almeida
    • 8
    • 9
  • Rui Cortes
    • 6
  • Maria Teresa Ferreira
    • 1
  1. 1.CEF, Centro de Estudos Florestais, Instituto Superior de AgronomiaUniversidade Técnica de LisboaLisbonPortugal
  2. 2.CIBIO, Centro de Investigação em Biodiversidade e Recursos GenéticosUniversidade do PortoVairãoPortugal
  3. 3.ERENA-Ordenamento e Gestão de Recursos NaturaisLisbonPortugal
  4. 4.Cátedra “Rui Nabeiro”-Biodiversidade, CIBIOUniversidade de ÉvoraÉvoraPortugal
  5. 5.Departamento de Biologia Vegetal, CBA, Centro de Biologia Ambiental, Faculdade de Ciências de LisboaUniversidade de LisboaLisbonPortugal
  6. 6.CITAB, Centro de Investigação e de Tecnologias Agro-Ambientais e BiológicasUniversidade de Trás-os-Montes e Alto DouroVila RealPortugal
  7. 7.AQUALOGUS-Engenharia e Ambiente, Rua da Tóbis PortuguesaLisbonPortugal
  8. 8.Departamento de BiologiaUniversidade de ÉvoraÉvoraPortugal
  9. 9.Instituto de Oceanografia, Faculdade de Ciências de LisboaUniversidade de LisboaLisbonPortugal

Personalised recommendations