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Hydrobiologia

, Volume 805, Issue 1, pp 377–389 | Cite as

Correlates of fish and aquatic macrophyte beta diversity in the Upper Paraná River floodplain

  • Fernanda Ceschin
  • Luis Mauricio Bini
  • André Andrian Padial
Primary Research Paper
  • 357 Downloads

Abstract

We investigated correlates of long-term temporal variation in the beta diversity of macrophytes, sedentary fish, and migratory fish communities in the Upper Paraná River floodplain. Two metrics of among-site variation in community composition were calculated in up to 45 sampling periods over 12 years for each biological group. We then tested the following beta diversity correlates: richness and proportion of non-native species, ecosystem productivity proxies, environmental heterogeneity, and hydrological regime proxies. Despite the uncertainty regarding the best model, we found that environmental heterogeneity was the most consistent predictor of beta diversity variation. Non-native species (richness or proportional abundance), productivity, and hydrology were not consistently correlated with beta diversity. However, models results suggest that the likely intensification of threats caused by oligotrophication, non-native species spread, and damming may trigger the effects of these predictors. Thus, we suggest that continuation of the long-term ecological study in the Upper Paraná River floodplain is key to our better understanding of the role of these processes in beta diversity variation.

Keywords

Biotic homogenization Hydrological regime Non-native species Environmental heterogeneity Productivity Temporal autocorrelation 

Notes

Acknowledgements

We acknowledge the NUPELIA staff for providing all the data, particularly Angelo Antonio Agostinho, Sidinei M. Thomaz, and Maria do C. Roberto. We also acknowledge CNPq for supporting the long-term ecological program in the Upper Paraná River floodplain. A.A. Agostinho and an anonymous reviewer provided valuable suggestions on early drafts of the manuscript. A.A.P. and L.M.B. receive continuous grants and research scholarships from CNPq, and F.C. receives a student scholarship from CAPES. This work was also developed in the context of the National Institutes for Science and Technology (INCT) in Ecology, Evolution and Biodiversity Conservation, supported by MCTIC/CNPq (proc. 465610/2014-5) and FAPEG.

Supplementary material

10750_2017_3325_MOESM1_ESM.docx (1.3 mb)
Supplementary material 1 (DOCX 1300 kb)

References

  1. Agostinho, A. A., L. C. Gomes, S. Veríssimo & E. K. Okada, 2004. Flood regime, dam regulation and fish in the Upper Parana River: effects on assemblage attributes, reproduction and recruitment. Reviews in Fish Biology and Fisheries 14: 11–19.CrossRefGoogle Scholar
  2. Agostinho, A. A., S. M. Thomaz & L. C. Gomes, 2005. Conservation of the Biodiversity of Brazil’s Inland Waters. Conservation Biology 19: 646–652.CrossRefGoogle Scholar
  3. Agostinho, A. A., F. M. Pelicice & L. C. Gomes, 2008. Dams and the fish fauna of the Neotropical region: impacts and management related to diversity and fisheries. Brazilian Journal of Biology 68: 1119–1132.CrossRefGoogle Scholar
  4. Anderson, M. J., K. E. Ellingsen & B. H. Mcardle, 2006. Multivariate dispersion as a measure of beta diversity. Ecology Letters 9: 19–28.Google Scholar
  5. Anderson, M. J., T. O. Crist, J. M. Chase, M. Vellend, B. D. Inouye, A. L. Freestone, N. J. Sanders, H. V. Cornell, L. S. Comita, K. F. Davies, S. P. Harrison, N. J. B. Kraft, J. C. Stegen & N. G. Swenson, 2011. Navigating the multiple meanings of b diversity: a roadmap for the practicing ecologist. Ecology Letters 14: 19–28.CrossRefPubMedGoogle Scholar
  6. Angeler, D. G., 2013. Revealing a conservation challenge through partitioned long-time beta diversity: increasing turnover and decreasing nestedness of boreal lake metacommunities. Diversity and Distributions 19: 772–781.CrossRefGoogle Scholar
  7. Astorga, A., R. Death, F. Death, R. Paavola, M. Chakraborty & T. Muotka, 2014. Habitat heterogeneity drives the geographical distribution of beta diversity: the case of New Zealand stream invertebrates. Ecology and Evolution 4: 2693–2702.CrossRefPubMedPubMedCentralGoogle Scholar
  8. Bai, Y., J. Wu, Q. Pan, J. Huang, Q. Wang, F. Li, A. Buyantuyev & X. Han, 2007. Positive linear relationship between productivity and diversity: evidence from the Eurasian Steppe. Journal of Applied Ecology 44: 1023–1034.CrossRefGoogle Scholar
  9. Bartón, K., 2016. MuMIn: Multi-Model Inference. R package version 1.15.6. http://CRAN.R-project.org/package=MuMIn.
  10. Baselga, A., 2010. Partitioning the turnover and nestedness components of beta diversity. Global Ecology and Biogeography 19: 134–143.CrossRefGoogle Scholar
  11. Baselga, A., 2013. Multiple site dissimilarity quantifies compositional heterogeneity among several sites, while average pairwise dissimilarity may be misleading. Ecography 36: 124–128.CrossRefGoogle Scholar
  12. Baselga, A. & C. D. L. Orme, 2012. Betapart: an R package for the study of beta diversity. Methods in Ecology and Evolution 3: 808–812.CrossRefGoogle Scholar
  13. Baselga, A., A. Jiménez-Valverde & G. Niccolini, 2007. A multiple-site similarity measure independent of richness. Biology Letters 3: 642–645.CrossRefPubMedPubMedCentralGoogle Scholar
  14. Bini, L. M., V. L. Landeiro, A. A. Padial, T. Siqueira & J. Heino, 2014. Nutrient enrichment is related to two facets of beta diversity for stream invertebrates across the United States. Ecology 95: 1569–1578.CrossRefPubMedGoogle Scholar
  15. Borges, P. A. F. & S. Train, 2009. Phytoplankton diversity in the Upper Paraná River floodplain during two years of drought (2000 and 2001). Brazilian Journal of Biology 69: 637–647.CrossRefGoogle Scholar
  16. Bozelli, R. L., S. M. Thomaz, A. A. Padial, P. M. Lopes & L. M. Bini, 2015. Floods decrease zooplankton beta diversity and environmental heterogeneity in an Amazonian floodplain system. Hydrobiologia 753: 233–241.CrossRefGoogle Scholar
  17. Brown, B. L. & C. M. Swan, 2010. Dendritic network structure constrains metacommunity properties in riverine ecosystems. Journal of Animal Ecology 79: 571–580.CrossRefPubMedGoogle Scholar
  18. Burnham, K. P. & D. R. Anderson, 2002. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. Springer, New York.Google Scholar
  19. Chalcraft, D. R., J. W. Williams, M. D. Smith & M. R. Willig, 2004. Scale dependence in the species-richness-productivity relationship: the role of species turnover. Ecology 85: 2701–2708.CrossRefGoogle Scholar
  20. Chase, J. M., 2010. Stochastic community assembly causes higher biodiversity in more productive environments. Science 328: 1388–1391.CrossRefPubMedGoogle Scholar
  21. Chase, J. M. & M. A. Leibold, 2002. Spatial scale dictates the productivity–biodiversity relationship. Nature 416: 427–430.CrossRefPubMedGoogle Scholar
  22. De Bie, T., L. De Meester, L. Brendonck, K. Martens, B. Goddeeris, D. Ercken, H. Hampel, L. Denys, L. Vanhecke, K. Van der Gucht, J. Van Wichelen, W. Vyverman & S. A. J. Declerck, 2012. Body size and dispersal mode as key traits determining metacommunity structure of aquatic organisms. Ecology Letters 15: 740–747.CrossRefPubMedGoogle Scholar
  23. Dittrich, J., J. D. Dias, C. C. Bonecker, F. A. Lansac-Tôha & A. A. Padial, 2016. Importance of temporal variability at different spatial scales for diversity of floodplain aquatic communities. Freshwater Biology 61: 316–327.CrossRefGoogle Scholar
  24. Dugan, P. J., C. Barlow, A. A. Agostinho, E. Baran, G. F. Cada, D. Chen, I. G. Cowx, J. W. Ferguson, T. Jutagate, M. Mallen-Cooper, G. Marmulla, J. Nestler, M. Petrere, R. L. Welcomme & K. O. Winemiller, 2010. Fish migration, dams, and loss of ecosystem services in the Mekong Basin. Ambio 39: 344–348.CrossRefPubMedPubMedCentralGoogle Scholar
  25. Ellingsen, K. & J. S. Gray, 2002. Spatial patterns of benthic diversity: is there a latitudinal gradient along the Norwegian continental shelf? Journal of Animal Ecology 71: 373–389.CrossRefGoogle Scholar
  26. Erös, T., 2007. Partitioning the diversity of riverine fish: the roles of habitat types and non-native species. Freshwater Biology 52: 1400–1415.CrossRefGoogle Scholar
  27. Fernandes, R., A. A. Agostinho, E. A. Ferreira, C. S. Pavanelli, H. I. Suzuki, D. P. Lima & L. C. Gomes, 2009. Effects of the hydrological regime on the ichthyofauna of riverine environments of the Upper Paraná River floodplain. Brazilian Journal of Biology 69: 669–680.CrossRefGoogle Scholar
  28. Gardezi, T. & A. Gonzalez, 2008. Scale dependence of species-energy relationships: evidence from fishes in thousands of lakes. American Naturalist 171: 800–815.CrossRefPubMedGoogle Scholar
  29. Gower, J. C., 1966. Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 53: 325–338.CrossRefGoogle Scholar
  30. Gubiani, E. A., L. C. Gomes, A. A. Agostinho & E. K. Okada, 2007. Persistence of fish populations in the upper Paraná River: effects of water regulation by dams. Ecology of Freshwater Fish 16: 191–197.Google Scholar
  31. Harrison, S., S. J. Ross & J. H. Lawton, 1992. Beta diversity on geographic gradients in Britain. Journal of Animal Ecology 61: 151–158.CrossRefGoogle Scholar
  32. Heino, J., M. Grönroos, J. Ilmonen, T. Karhu, M. Niva & L. Paasivirta, 2013. Environmental heterogeneity and beta diversity of stream macroinvertebrate communities at intermediate spatial scales. Freshwater Science 32: 142–154.CrossRefGoogle Scholar
  33. Junk, W. J., P. B. Bayley & R. E. Sparks, 1989. The flood pulse concept in river-floodplain systems. Canadian Special Publication of Fisheries and Aquatic Sciences 106: 110–127.Google Scholar
  34. Koleff, P., K. J. Gaston & J. J. Lennon, 2003. Measuring beta diversity for presence–absence data. Journal of Animal Ecology 72: 367–382.CrossRefGoogle Scholar
  35. Langenheder, S., M. Berga, O. Ostman & A. J. Szekely, 2012. Temporal variation of ß-diversity and assembly mechanisms in a bacterial metacommunity. The ISME Journal 6: 1107–1114.CrossRefPubMedGoogle Scholar
  36. Lansac-Tôha, F. A., C. C. Bonecker, L. F. M. Velho, N. R. Simões, J. D. Dias, G. M. Alves & E. M. Takahashi, 2009. Biodiversity of zooplankton communities in the Upper Paraná River floodplain: interannual variation from long-term studies. Brazilian Journal of Biology 69: 539–549.CrossRefGoogle Scholar
  37. Marchetti, M. P., J. L. Lockwood & T. Light, 2006. Effects of urbanization on California’s fish diversity: Differentiation, homogenization and the influence of spatial scale. Biological Conservation 127: 310–318.CrossRefGoogle Scholar
  38. McKnight, M. W., P. S. White, R. I. McDonald, J. F. Lamoreux, W. Sechrest, R. S. Ridgely & S. N. Stuart, 2007. Putting beta-diversity on the map: broad-scale congruence and coincidence in the extremes. PLoS Biology 5: e272.CrossRefPubMedPubMedCentralGoogle Scholar
  39. McKinney, M. L. & J. L. Lockwood, 1999. Biotic homogenization: a few winners replacing many losers in the next mass extinction. Trends in Ecology and Evolution 14: 450–453.CrossRefPubMedGoogle Scholar
  40. Melo, A. S., T. F. L. V. B. Range & J. A. F. Diniz-Filho, 2009. Environmental drivers of beta-diversity patterns in New-World birds and mammals. Ecography 32: 226–236.CrossRefGoogle Scholar
  41. Melo, A. S., F. Schneck, L. U. Hepp, N. R. Simões, T. Siqueira & L. M. Bini, 2011. Focusing on variation: methods and applications of the concept of beta diversity in aquatic ecosystems. Acta Limnologica Brasiliensia 23: 318–331.CrossRefGoogle Scholar
  42. Neiff, J. J., 1990. Ideas para la interpretacion ecológica del Paraná. Interciencia 15: 424–441.Google Scholar
  43. Oksanen, J., F.G. Blanchet, R. Kindt, P. Legendre, P.R. Minchin, R.B. O’Hara, G.L. Simpson, P. Solymos, M. Henry H. Stevens, E. Szoecs & H. Wagner, 2013. Vegan: Community Ecology Package. R package version 2.0-8. http://CRAN.r436project.org/package=vegan.
  44. Olden, J. D. & N. L. Poff, 2003. Toward a mechanistic understanding and prediction of biotic homogenization. American Naturalist 162: 442–460.CrossRefPubMedGoogle Scholar
  45. Padial, A. A., T. Siqueira, J. Heino, L. C. G. Vieira, C. C. Bonecker, F. A. Lansac-Tôha, L. C. Rodrigues, A. M. Takeda, S. Train, L. F. M. Velho & L. M. Bini, 2012. Relationships between multiple biological groups and classification schemes in a Neotropical floodplain. Ecological Indicators 13: 55–65.CrossRefGoogle Scholar
  46. Padial, A. A., F. Ceschin, S. A. J. Declerck, L. De Meester, C. C. Bonecker, F. A. Lansac-Tôha, L. Rodrigues, L. C. Rodrigues, S. Train, L. F. M. Velho & L. M. Bini, 2014. Dispersal ability determines the role of environmental, spatial and temporal drivers of metacommunity Structure. Plos ONE 9: 1–8.CrossRefGoogle Scholar
  47. Petsch, D. K., 2016. Causes and consequences of biotic homogenization in freshwater ecosystems. International Review of Hydrobiology 101: 113–122.CrossRefGoogle Scholar
  48. Pinheiro, J. C. & D. M. Bates, 2000. Mixed-Effects Models in S and S-PLUS. Statistics and Computing Series. Springer, New York.Google Scholar
  49. Pinheiro, J.C., D.M. Bates, S. Debroy, D. Sarkar AND R CORE TEAM 2015. Nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1-119. http://CRAN.Rproject.org/package=nlme.
  50. Qian, H. & R. Ricleffs, 2006. The role of exotic species in homogenizing the North American flora. Ecology Letters 9: 1293–1298.CrossRefPubMedGoogle Scholar
  51. R CORE TEAM. 2015. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.
  52. Rahel, F. J., 2000. Homogenization of fish faunas across the United States. Science 288: 854–856.CrossRefPubMedGoogle Scholar
  53. Rahel, F. J., 2002. Homogenization of freshwater faunas. Annual Review of Ecology and Systematics 33: 291–315.CrossRefGoogle Scholar
  54. Roberto, M. C., N. F. Santana & S. M. Thomaz, 2009. Limnology in the Upper Paraná River floodplain: large-scale spatial and temporal patterns, and the influence of reservoirs. Brazilian Journal of Biology 69: 717–725.CrossRefGoogle Scholar
  55. Rosin, G. C., D. P. Oliveira-Mangarotti, A. M. Takeda & C. M. M. Butakka, 2009. Consequences of dam construction upstream of the Upper Paraná River floodplain (Brazil): a temporal analysis of the Chironomidae community over an eight-year period. Brazilian Journal of Biology 69: 591–608.CrossRefGoogle Scholar
  56. Soares, C. E. A., L. F. M. Velho, F. A. Lansac-Tôha, C. C. Bonecker, V. L. Landeiro & L. M. Bini, 2015. The likely effects of river impoundment on beta-diversity of a floodplain zooplankton metacommunity. Natureza e Conservação 13: 74–79.CrossRefGoogle Scholar
  57. Socolar, J. B., J. J. Gilroy, W. E. Kunin & D. P. Edwards, 2016. How should beta-diversity inform biodiversity conservation? Trends in Ecology & Evolution 31: 67–80.CrossRefGoogle Scholar
  58. Souza Filho, E. E., 2009. Evaluation of the Upper Parana River discharge controlled by reservoirs. Brazilian Journal of Biology 69: 707–716.CrossRefGoogle Scholar
  59. Thomaz, S. M., T. A. Pagioro, L. M. Bini, M. C. Roberto & R. R. A. Rocha, 2004. Limnological characterization of the aquatic environments and the influence of hydrometric levels. In Thomaz, S. M., A. A. Agostinho & N. S. Hahn (eds.), The Upper Paraná River and its floodplain: Physical aspects, Ecology and Conservation. Backhuys Publishers, Leiden: 75–102.Google Scholar
  60. Thomaz, S. M., L. M. Bini & R. L. Bozelli, 2007. Floods increase similarity among aquatic habitats in river-floodplain systems. Hydrobiologia 579: 1–13.CrossRefGoogle Scholar
  61. Thomaz, S. M., P. Carvalho, A. A. Padial & J. T. Kobayashi, 2009. Temporal and spatial patterns of aquatic macrophyte diversity in the Upper Paraná River floodplain. Brazilian Journal of Biology 69: 617–625.CrossRefGoogle Scholar
  62. Tockner, K., D. Pennetzdorfer, N. Reiner, F. Schiemer & J. V. Ward, 1999. Hydrological connectivity and the exchange of organic matter and nutrients in a dynamic river-floodplain system (Danube, Austria). Freshwater Biology 41: 521–535.CrossRefGoogle Scholar
  63. Tockner, K., F. Malard & J. V. Ward, 2000. An extension of the flood pulse concept. Hydrological Processes 14: 2861–2883.CrossRefGoogle Scholar
  64. Toussaint, A., O. Beauchard, T. Oberdorff, S. Brosse & S. Villéger, 2016. Worldwide freshwater fish homogenization is driven by a few widespread non-native species. Biological Invasions 18: 1295–1304.CrossRefGoogle Scholar
  65. Velho, L. F. M., L. M. Bini & F. A. Lansac-Tôha, 2004. Testate Amoeba (Rhizopoda) Diversity in Plankton of the Upper Paraná River floodplain, Brazil. Hydrobiologia 523: 103–111.CrossRefGoogle Scholar
  66. Vitousek, P. M., J. D. Aber, R. W. Howarth, G. E. Likens, P. A. Matson, D. W. Schindler, W. H. Schlesinger & D. G. Tilman, 1997. Human alteration of the global nitrogen cycle: sources and consequences. Ecological Applications 7: 737–750.Google Scholar
  67. Ward, J. V. & K. Tockner, 2001. Biodiversity: towards a unifying theme for river ecology. Freshwater Biology 46: 807–819.CrossRefGoogle Scholar
  68. Wojciechowski, J., J. Heino, L. M. Bini & A. A. Padial, 2017. The strength of species sorting of phytoplankton communities is temporally variable in subtropical reservoirs. Hydrobiologia 800: 31–43.Google Scholar
  69. Zorzal-Almeida, S., L. M. Bini & D. C. Bicudo, 2017. Beta diversity of diatoms is driven by environmental heterogeneity, spatial extent and productivity. Hydrobiologia 800: 7–16.Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Fernanda Ceschin
    • 1
    • 3
  • Luis Mauricio Bini
    • 2
  • André Andrian Padial
    • 1
    • 3
  1. 1.Departamento de Botânica, Laboratório de Análise e Síntese em Biodiversidade, Programa de Pós-graduação em Ecologia e ConservaçãoUniversidade Federal do ParanáCuritibaBrazil
  2. 2.Departamento de EcologiaInstituto de Ciências Biológicas, Universidade Federal de GoiásGoiâniaBrazil
  3. 3.Programa de Pós-graduação em Ecologia de Ambientes Aquáticos ContinentaisUniversidade Estadual de MaringáMaringáBrazil

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