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Limnology

, Volume 20, Issue 1, pp 121–130 | Cite as

Zooplankton temporal beta diversity along the longitudinal axis of a tropical reservoir

  • Vanessa G. LopesEmail author
  • Christina W. Castelo Branco
  • Betina Kozlowsky-Suzuki
  • Luis Mauricio Bini
Research paper

Abstract

Different processes, including ecological drift, environmental changes, and biotic homogenization, can explain variation in temporal beta diversity. Here, we aimed to analyze the temporal beta diversity of zooplankton communities along the longitudinal axis of a reservoir using two analytical approaches. As for the first approach, we predicted that that beta diversity would be positively correlated with limnological variability. We used multiple samples-based metrics to estimate beta diversity among 62 sampling months at six sampling sites; after, we correlated these metrics with within-site temporal variability in limnological factors. As for the second approach, we predicted that between-months variation in community composition would be positively correlated with time lags and between-months environmental distances. Considering the multiple samples approach, we did not detect a significant relationship between temporal beta diversity and variability in limnological factors. Between-months beta diversity was unrelated to between-months differences in limnological and hydrological factors. Only temporal lags were significantly correlated with between-months beta diversity. Beta diversity and species richness were substantially highest at the lotic zone of the reservoir. Our results indicate that temporal beta diversity tends to be highly unpredictable and that most of the taxa contributing to the regional diversity of the reservoir disperse via its lotic region.

Keywords

Plankton dynamics Turnover Nestedness Environmental variation 

Notes

Acknowledgements

The authors wish to thank Light Energia S.A. for financial and logistic support in carrying out this study. We are also thankful to Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for the scholarship provided to Vanessa G. Lopes. Work by L. M. Bini have been continuously supported by CNPq Productivity Grants and is developed in the context of National Institutes for Science and Technology (INCT) in Ecology, Evolution and Biodiversity Conservation, supported by MCTIC/CNPq (proc. 465610/2014-5) and FAPEG. Thanks to two anonymous reviewers for their helpful comments.

Supplementary material

10201_2018_558_MOESM1_ESM.docx (478 kb)
Supplementary material 1 (DOCX 478 kb)

References

  1. Almeida-Neto M, Guimarães P, Guimarães PRJ, Loyola RD, Ulrich W (2008) A consistent metric for nestedness analysis in ecological systems: reconciling concept and measurement. Oikos 117:1227–1239CrossRefGoogle Scholar
  2. Anderson MJ (2006) Distance-based tests for homogeneity of multivariate dispersions. Biometrics 62:245–253CrossRefGoogle Scholar
  3. Anderson MJ, Ellingsen KE, McArdle BH (2006) Multivariate dispersion as a measure of beta diversity. Ecol Lett 9:683–693CrossRefGoogle Scholar
  4. Anderson MJ, Crist TO, Chase JM, Vellend M, Inouye BD, Freestone AL, Sanders NJ, Cornell HV, Comita LS, Davies KF, Harrison SP, Kraft NJB, Stegen JC, Swenson NG (2011) Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist. Ecol Lett 14:19–28CrossRefGoogle Scholar
  5. Astorga A, Death R, Death F, Paavola R, Chakraborty M, Muotka T (2014) Habitat heterogeneity drives the geographical distribution of beta diversity: the case of New Zealand stream invertebrates. Ecol Evol 4:2693–2702CrossRefGoogle Scholar
  6. Baselga A (2010) Partitioning the turnover and nestedness components of beta diversity. Glob Ecol Biogeogr 19:134–143CrossRefGoogle Scholar
  7. Baselga A (2013) Multiple site dissimilarity quantifies compositional heterogeneity among several sites, while average pairwise dissimilarity may be misleading. Ecography 36:124–128CrossRefGoogle Scholar
  8. Baselga A, Orme CDL (2012) betapart: an R package for the study of beta diversity. Methods Ecol Evol 3:808–812CrossRefGoogle Scholar
  9. Baselga A, Jiménez-Valverde A, Niccolini G (2007) A multiple-site similarity measure independent of richness. Biol Let 3:642–645CrossRefGoogle Scholar
  10. Bini LM, Landeiro VL, Padial AA, Siqueira T, Heino J (2014) Nutrient enrichment is related to two facets of beta diversity for stream invertebrates across the United States. Ecology 95:1569–1578CrossRefGoogle Scholar
  11. Bozelli RL, Thomaz SM, Padial AA, Lopes PM, Bini LM (2015) Floods decrease zooplankton beta diversity and environmental heterogeneity in an Amazonian floodplain system. Hydrobiologia 753:233–241CrossRefGoogle Scholar
  12. Branco CWC, Kozlowsky-Suzuki B, Sousa-Filho IF, Guarino AWS, Rocha RJ (2009) Impact of climate on the vertical water column structure of Lajes Reservoir (Brazil): a tropical reservoir case. Lakes Reserv Res Manag 14:175–191CrossRefGoogle Scholar
  13. Brown BL (2007) Habitat heterogeneity and disturbance influence patterns of community temporal variability in a small temperate stream. Hydrobiologia 586:93–106CrossRefGoogle Scholar
  14. Brown BL, Swan CM (2010) Dendritic network structure constrains metacommunity properties in riverine ecosystems. J Anim Ecol 79:571–580CrossRefGoogle Scholar
  15. Brownstein G, Steel JB, Porter S, Gray A, Wilson C, Wilson PG, Wilson JB (2012) Chance in plant communities: a new approach to its measurement using the nugget from spatial autocorrelation. J Ecol 100:987–996CrossRefGoogle Scholar
  16. Chase JM, Kraft NJB, Smith KG, Vellend M, Inouye BD (2011) Using null models to disentangle variation in community dissimilarity from variation in α-diversity. Ecosphere 2:1–11CrossRefGoogle Scholar
  17. Collins SL, Micheli F, Hartt L (2000) A method to determine rates and patterns of variability in ecological communities. Oikos 91:285–293CrossRefGoogle Scholar
  18. De Bie T, De Meester L, Brendonck L, Martens K, Goddeeris B, Ercken D, Hampel H, Denys L, Vanhecke L, Van der Gucht K, Van Wichelen J, Vyverman W, Declerck SAJ (2012) Body size and dispersal mode as key traits determining metacommunity structure of aquatic organisms. Ecol Lett 15:740–747CrossRefGoogle Scholar
  19. Dornelas M, Gotelli NJ, McGill B, Shimaszu H, Moyes F, Sievers C, Magurran AE (2014) Assemblage time series reveal biodiversity change but not systematic loss. Science 344:296–299CrossRefGoogle Scholar
  20. Dray S, Legendre P, Blanchet G (2009) packfor: Forward selection with permutation (canoco p.46). R package versio n0.0-7/r58. http://R-Forge.R-project.org/projects/sedar/
  21. Goslee SC, Urban DL (2007) The ecodist package for dissimilarity-based analysis of ecological data. J Stat Softw 22:1–19CrossRefGoogle Scholar
  22. Gotelli NJ, Colwell RK (2001) Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness. Ecol Lett 4:379–391CrossRefGoogle Scholar
  23. Gray DK, Arnott SE (2012) The role of dispersal levels, Allee effects and community resistance as zooplankton communities respond to environmental change. J Appl Ecol 49:1216–1224CrossRefGoogle Scholar
  24. Hatosy SM, Martiny JBH, Sachdeva R, Steele J, Fuhrman JA, Martiny AC (2013) Beta diversity of marine bacteria depends on temporal scale. Ecology 94:1898–1904CrossRefGoogle Scholar
  25. Heino J, Grönroos M, Ilmonen J, Karhu T, Niva M, Paasivirta L (2013) Environmental heterogeneity and beta diversity of stream macroinvertebrate communities at intermediate spatial scales. Freshw Sci 32:142–154CrossRefGoogle Scholar
  26. Heino J, Melo AS, Bini LM (2015a) Reconceptualising the beta diversity-environmental heterogeneity relationship in running water systems. Freshw Biol 60:223–235CrossRefGoogle Scholar
  27. Heino J, Melo AS, Siqueira T, Soininen J, Valanko S, Bini LM (2015b) Metacommunity organisation, spatial extent and dispersal in aquatic systems: patterns, processes and prospects. Freshw Biol 60:845–869CrossRefGoogle Scholar
  28. Hillebrand H, Soininen J, Snoeijs P (2010) Warming leads to higher species turnover in a coastal ecosystem. Glob Change Biol 16:1181–1193CrossRefGoogle Scholar
  29. Jones NT, Gilbert B (2018) Geographic signatures in species turnover: decoupling colonization and extinction across a latitudinal gradient. Oikos 127:507–517CrossRefGoogle Scholar
  30. Korhonen JJ, Soininen J, Hillebrand H (2010) A quantitative analysis of temporal turnover in aquatic species assemblages across ecosystems. Ecology 91:508–517CrossRefGoogle Scholar
  31. Larson CA, Passy SI (2013) Rates of species accumulation and taxonomic diversification during phototrophic biofilm development are controlled by both nutrient supply and current velocity. Appl Environ Microbiol 79:2054–2060CrossRefGoogle Scholar
  32. Legendre P, Anderson MJ (1999) Distance-based Redundancy Analysis: testing multispecies responses in multifactorial ecological experiments. Ecol Monogr 69:1–24CrossRefGoogle Scholar
  33. Legendre P, Fortin MJ (1989) Spatial pattern and ecological analysis. Vegetatio 80:107–138CrossRefGoogle Scholar
  34. Legendre P, Legendre LF (2012) Numerical ecology. Elsevier, New YorkGoogle Scholar
  35. Legendre P, Borcard D, Peres-Neto PR (2005) Analyzing beta diversity: partitioning the spatial variation of community composition data. Ecol Monogr 75:435–450CrossRefGoogle Scholar
  36. Leibold MA, Holyoak M, Mouquet N, Amarasekare P, Chase JM, Hoopes MF, Holt RD, Shurin JB, Law R, Tilman D, Loreau M, Gonzalez A (2004) The metacommunity concept: a framework for multi-scale community ecology. Ecol Lett 7:601–613CrossRefGoogle Scholar
  37. Lichstein JW (2007) Multiple regression on distance matrices: a multivariate spatial analysis tool. Plant Ecol 188:117–131CrossRefGoogle Scholar
  38. Lodi S, Velho LFM, Carvalho P, Bini LM (2014) Patterns of zooplankton population synchrony in a tropical reservoir. J Plankton Res 36:966–977CrossRefGoogle Scholar
  39. Lopes VG, Branco CWC, Kozlowsky-Suzuki B, Sousa-Filho IF, Souza LC, Bini LM (2017) Predicting temporal variation in zooplankton beta diversity is challenging. PLoS One 12:e0187499CrossRefGoogle Scholar
  40. Marzolf GR (1990) Reservoirs as environments for zooplankton. In: Thornton K, Kimmel BL, Payne FE (eds) Reservoir limnology: ecological perspectives. Wiley, New York, pp 195–208Google Scholar
  41. McGill BJ, Dornelas M, Gotelli NJ, Magurran AE (2015) Fifteen forms of biodiversity trend in the Anthropocene. Trends Ecol Evol 30:104–113CrossRefGoogle Scholar
  42. McKinney ML, Lockwood JL (1999) Biotic homogenization: a few winners replacing many losers in the next mass extinction. Trends Ecol Evol 14:450–453CrossRefGoogle Scholar
  43. Oksanen J, Blanchet FG, Kindt R, Legendre P, Minchin PR, O’Hara RB, Simpson GL, Solymos P, Stevens MHH, Szoecs E, Wagner H (2017) vegan: Community Ecology Package. R package version 2.0-9Google Scholar
  44. Olden JD, Poff NL (2003) Toward a mechanistic understanding and prediction of biotic homogenization. Am Nat 162:442–460CrossRefGoogle Scholar
  45. Padial AA, Ceschin F, Declerck SAJ, De Meester L, Bonecker CC, Lansac-Tôha FA, Rodrigues L, Rodrigues LC, Train S, Velho LFM, Bini LM (2014) Dispersal ability determines the role of environmental, spatial and temporal drivers of metacommunity structure. PLoS One 9:e111227CrossRefGoogle Scholar
  46. Pauly D (1995) Anecdotes and the shifting baseline syndrome of fisheries. Trends Ecol Evol 10:430CrossRefGoogle Scholar
  47. Peres-Neto PR, Legendre P, Dray S, Borcard D (2006) Variation partitioning of species data matrices: estimation and comparison of fractions. Ecology 87:2614–2625CrossRefGoogle Scholar
  48. Raup DM, Crick RE (1979) Measurement of faunal similarity in paleontology. J Paleontol 53:1213–1227Google Scholar
  49. R Core Team (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
  50. Santos JB, Silva LH, Branco CW, Huszar VL (2016) The roles of environmental conditions and geographical distances on the species turnover of the whole phytoplankton and zooplankton communities and their subsets in tropical reservoirs. Hydrobiologia 764:171–186CrossRefGoogle Scholar
  51. Scheffer M (1990) Multiplicity of stable staes in freshwater systems. Hydrobiologia 200:475–486CrossRefGoogle Scholar
  52. Shimadzu H, Dornelas M, Magurran AE (2015) Measuring temporal turnover in ecological communities. Methods Ecol Evol 6:1384–1394CrossRefGoogle Scholar
  53. Siqueira T, Roque F, Trivinho-Strixino S (2008) Phenological patterns of neotropical lotic chironomids: is emergence constrained by environmental factors? Austral Ecol 33:902–910CrossRefGoogle Scholar
  54. Smol JP et al (2005) Climate-driven regime shifts in the biological communities of Arctic lakes. Proc Natl Acad Sci USA 102:4397–4402CrossRefGoogle Scholar
  55. Soininen J, Heino J, Wang J (2018) A meta-analysis of nestedness and turnover components of beta diversity across organisms and ecosystems. Glob Ecol Biogeogr 27:96–109CrossRefGoogle Scholar
  56. Straile D, Jochimsen MC, Kümmerlin R (2013) The use of long-term monitoring data for studies of planktonic diversity: a cautionary tale from two Swiss lakes. Freshw Biol 58:1292–1301CrossRefGoogle Scholar
  57. Tisseuil C, Leprieur F, Grenouillet G, Vrac M, Lek S (2012) Projected impacts of climate change on spatio-temporal patterns of freshwater fish beta diversity: a deconstructing approach. Glob Ecol Biogeogr 21:1213–1222CrossRefGoogle Scholar
  58. Ulrich W, Almeida-Neto M (2012) On the meanings of nestedness: back to the basics. Ecography 35:865–871CrossRefGoogle Scholar
  59. Vellend M, Srivastava DS, Anderson KM, Brown CD, Jankowski JE, Kleynhans EJ, Kraft NJB, Letaw AD, Macdonald AAM, Maclean JE, Myers-Smith IH, Norris AR, Xue X (2014) Assessing the relative importance of neutral stochasticity in ecological communities. Oikos 123:1420–1430CrossRefGoogle Scholar
  60. Zaccarelli N, Bolnick DI, Mancinelli G (2013) RInSp: an R package for the analysis of individual specialization in resource use. Methods Ecol Evol 4:1018–1023CrossRefGoogle Scholar

Copyright information

© The Japanese Society of Limnology 2018

Authors and Affiliations

  • Vanessa G. Lopes
    • 1
    Email author
  • Christina W. Castelo Branco
    • 2
  • Betina Kozlowsky-Suzuki
    • 3
  • Luis Mauricio Bini
    • 1
  1. 1.Departamento de EcologiaUniversidade Federal de GoiásGoiâniaBrazil
  2. 2.Departamento de ZoologiaUniversidade Federal do Estado do Rio de JaneiroRio de JaneiroBrazil
  3. 3.Departamento de Ecologia e Recursos MarinhosUniversidade Federal do Estado do Rio de JaneiroRio de JaneiroBrazil

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