Skip to main content
Log in

The use of coarser data is an effective strategy for biological assessments

  • Primary Research Paper
  • Published:
Hydrobiologia Aims and scope Submit manuscript

An Erratum to this article was published on 22 June 2016

Abstract

Ecological studies are usually based on species abundance data per sample. As a consequence, the research can be time-consuming and require a significant amount of financial resources to overcome uncertainties in taxonomic identifications and estimations of relative abundances. We assessed the use of genus-level data as a surrogate for species-level data in studies attempting to describe the beta-diversity patterns of several aquatic communities. Furthermore, we investigated whether presence–absence data is sufficient to describe ecological patterns and whether the spatial variation of rare species can also be described by genus-level data. We used data from five biological aquatic groups sampled over periods of up to 2 years in different sites of the Upper Paraná River floodplain. We found strong evidence that beta-diversity patterns in species-level data can be successfully described using genus-level and presence–absence data in all biological groups, although efficacy of using genus-level data as a surrogate for species-level may depend on the species:genus ratio. Moreover, communities with both taxonomic resolutions had similar responses to environmental variation. Our results indicate ecological studies in floodplains with different biological groups can benefit from strategy based on genus-level or presence–absence data to reduce cost and time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Agostinho, A. A., L. C. Gomes, S. Verissimo & 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.

    Article  Google Scholar 

  • Balmford, A., A. J. E. Lyon & R. M. Lang, 2000. Testing the higher-taxon approach to conservation planning in a megadiverse group: the macrofungi. Biological Conservation 93: 209–217.

    Article  Google Scholar 

  • Bertasi, F., 2009. Comparing efficacy of different taxonomic resolutions and surrogates in detecting changes in soft bottom assemblages due to coastal defence structures. Marine Pollution Bulletin 58: 686–694.

    Article  CAS  PubMed  Google Scholar 

  • Carneiro, F. M., L. M. Bini & L. C. Rodrigues, 2010. Influence of taxonomic and numerical resolution on the analysis of temporal changes in phytoplankton communities. Ecological Indicators 519: 1–7.

    Google Scholar 

  • Cerqueira, M. C., M. Cohn-Haft, C. F. Vargas, C. E. Nader, C. B. Andretti, T. V. V. Costa, M. Sberze, J. E. Hines & G. Ferraz, 2013. Rare or elusive? A test of expert knowledge about rarity of Amazon forest birds. Diversity and Distributions 19: 710–721.

    Article  Google Scholar 

  • Chessman, B., N. Bate, P. A. Gell & P. Newall, 2007. A diatom species index for Australian rivers. Marine & Freshwater Research 58: 542–557.

    Article  Google Scholar 

  • Cornwell, W. K. & D. D. Ackerly, 2010. A link between plant traits and abundance: evidence from coastal California woody plants. Journal of Ecology 98: 814–821.

    Article  Google Scholar 

  • Crisp, M. D., M. T. K. Arroyo, L. G. Cook, M. A. Gandolfo, G. J. Jordan, M. S. McGlone, P. H. Weston, M. Westoby, P. Wilf & H. P. Linder, 2009. Phylogenetic biome conservatism on a global scale. Nature 458: 754–756.

    Article  CAS  PubMed  Google Scholar 

  • Dauvin, J. C., J. L. G. Gesteira & M. S. Fraga, 2003. Taxonomic sufficiency: an overview of its use in the monitoring of sublittoral benthic communities after oil spills. Marine Pollution Bulletin 46: 552–555.

    Article  CAS  PubMed  Google Scholar 

  • Ellis, D., 1985. Taxonomic sufficiency in pollution assessment. Marine Pollution Bulletin 16: 459.

    Article  Google Scholar 

  • Gallego, I., T. A. Davidson, E. Jeppesen, C. Pérez-Martínez, P. Sánchez-Castillo, M. Juan, F. Fuentes-Rodríguez, D. León, P. Peñalver, J. Toja & J. J. Casas, 2012. Taxonomic or ecological approaches? Searching for phytoplankton surrogates in the determination of richness and assemblage composition in ponds. Ecological Indicators 18: 575–585.

    Article  Google Scholar 

  • Gaston, K. J., 1994. Rarity. Chapman & Hall, London.

    Book  Google Scholar 

  • Gaston, K. J., 1996. Species richness: measure and measurement. In Gaston, K. J. (ed.), Biodiversity—A Biology of Numbers and Differences. Blackwell, Oxford: 77–113.

    Google Scholar 

  • Giorgia, M., G. Bacaro & J. Feehan, 2011. Evaluating and interpreting cross-taxon congruence: potential pitfalls and solutions. Acta Oecologica 37: 187–194.

    Article  Google Scholar 

  • Hansen, J. H., R. Sato, A. Lacis & V. Oinas, 2000. Global warming in the twenty-first century: an alternative scenario. Proceedings of the National Academy of Sciences of the United States of America 97: 9875–9880.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Heino, J., 2010. Are indicator groups and cross-taxon congruence useful for predicting biodiversity in aquatic ecosystems? Ecological Indicators 10: 112–117.

    Article  Google Scholar 

  • Heino, J. & J. Soininen, 2007. Are higher taxa adequate surrogates for species-level assemblage patterns and species richness in stream organisms? Biological Conservation 137: 78–89.

    Article  Google Scholar 

  • Heino, J. & J. Soininen, 2010. Are common species sufficient in describing turnover in aquatic metacommunities along environmental and spatial gradients? Limnology and Oceanography 55: 2397–2402.

    Article  Google Scholar 

  • Hopkins, M. J. G., 2007. Modelling the known and unknown plant biodiversity of the Amazon basin. Journal of Biogeography 34: 1400–1411.

    Article  Google Scholar 

  • Jiang, X. M., J. Xiong, Z. Y. Song, J. C. Morse, F. C. Jones & Z. C. Xie, 2013. Is coarse taxonomy sufficient for detecting macroinvertebrate patterns in floodplain lakes? Ecological Indicators 27: 48–55.

    Article  Google Scholar 

  • Kallimanis, A. S., A. D. Mazaris, D. Tsakanikas, P. Dimopoulos, J. D. Pantis & S. P. Sgardelis, 2012. Efficient biodiversity monitoring: which taxonomic level to study? Ecological Indicators 15: 100–104.

    Article  Google Scholar 

  • Kunin, W. E. & K. J. Gaston, 1993. The biology of rarity: patterns, causes and consequences. Trends in Ecology & Evolution 8: 298–301.

    Article  CAS  Google Scholar 

  • Kunin, W. E. & A. Shmida, 1997. Plant reproductive traits as a function of local, regional, and global abundance. Conservation Biology 11: 183–192.

    Article  Google Scholar 

  • Landeiro, V. L., L. M. Bini, F. R. C. Costa, E. Franklin, A. Nogueira, J. L. P. Souza, J. Moraes & W. E. Magnusson, 2012. How far can we go in simplifying biomonitoring assessments? An integrated analysis of taxonomic surrogacy, taxonomic sufficiency and numerical resolution in a megadiverse region. Ecological Indicators 23: 366–373.

    Article  Google Scholar 

  • Legendre, P. & L. Legendre, 1998. Numerical Ecology. Elsevier, Amsterdam.

    Google Scholar 

  • Lovell, S., M. Hamer, R. Slotow & D. Herbert, 2007. Assessment of congruency across invertebrate surrogates. Biological Conservation 139: 113–125.

    Article  Google Scholar 

  • Marchant, R., 1990. Robustness of classification and ordination techniques applied to macroinvertebrate communities from the La Trobe River, Victoria. Australian Journal of Marine & Freshwater Research 41: 493–504.

    Article  Google Scholar 

  • Maurer, D., 2000. The dark side of taxonomic sufficiency (TS). Marine Pollution Bulletin 40: 98–101.

    Article  CAS  Google Scholar 

  • Melo, A. S., 2005. Effects of taxonomic and numeric resolution on the ability to detect ecological patterns at a local scale using stream macroinvertebrates. Archiv für Hydrobiologie 164: 309–323.

    Article  Google Scholar 

  • Oksanen, J., F. G. Blanchet, R. Kindt, P. Legendre, P. R. Minchin, R. B. O’Hara, G. L. Simpson, P. Solymos, M. H. H. Stevens & H. Wagner, 2013. vegan: Community Ecology Package. R package version 2.0-8. http://CRAN.R-project.org/package=vegan.

  • Padial, A. A., P. Carvalho, S. M. Thomaz, S. M. Boschilia, R. B. Rodrigues & J. T. Kobayashi, 2009. The role of an extreme flood disturbance on macrophyte assemblages in a Neotropical floodplain. Aquatic Sciences 71: 389–398.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Peres-Neto, P. R. & D. A. Jackson, 2001. How well do multivariate data sets match? The advantages of a Procrustean superimposition approach over the Mantel test. Oecologia 129: 169–178.

    Article  Google Scholar 

  • R Core Team, 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Austria. ISBN 3-900051-07-0. http://www.R-project.org/.

  • Rabinowitz, D. & J. K. Rapp, 1985. Colonization and establishment of Missouri prairie plants on artificial soil disturbances. III. Species abundance distributions, survivorship, and rarity. American Journal of Botany 72: 1635–1640.

    Article  Google Scholar 

  • Rabinowitz, D., J. K. Rapp & P. M. Dixon, 1984. Competitive abilities of sparse grass species: means of persistence or cause of abundance. Ecology 65: 1144–1154.

    Article  Google Scholar 

  • Roberts, D. W., 2012. labdsv: Ordination and Multivariate Analysis for Ecology. R package version 1.5-0. http://CRAN.R-project.org/package=labdsv.

  • Ruhí, A., D. Boix, S. Gascón, J. Sala & D. P. Batzer, 2013. Functional and phylogenetic relatedness in temporary wetland invertebrates: current macroecological patterns and implications for future climatic change scenarios. PLoS One 8: e81739.

    Article  PubMed  PubMed Central  Google Scholar 

  • Saether, B. E., V. Grotan, S. Engen, D. G. Noble & R. P. Freckleton, 2010. Rarity, life history and scaling of the dynamics in time and space of British birds. Journal of Animal Ecology 80: 215–224.

    Article  PubMed  Google Scholar 

  • Sánchez-Moyano, J. E., D. A. Fa, F. J. Estacio & J. C. García-Gómez, 2006. Monitoring of marine benthic communities and taxonomic resolution: an approach through diverse habitats and substrates along the Southern Iberian coastline. Helgoland Marine Research 60: 243–255.

    Article  Google Scholar 

  • Schmera, D. & T. Erős, 2011. The role of sampling effort, taxonomical resolution and abundance weight in multivariate comparison of stream dwelling caddisfly assemblages collected from riffle and pool habitats. Ecological Indicators 11: 230–239.

    Article  Google Scholar 

  • Schulman, L., T. Toivonen & K. Ruokolainen, 2007. Analysing botanical collecting effort in Amazonia and correcting for it in species range estimation. Journal of Biogeography 34: 1388–1399.

    Article  Google Scholar 

  • Siqueira, T., L. M. Bini, F. O. Roque, S. R. M. Couceiro, S. Trivinho-Strixino & K. Cottenie, 2012. Common and rare species respond to similar niche processes in macroinvertebrate metacommunities. Ecography 35: 183–192.

    Article  Google Scholar 

  • Van der Gucht, K., K. Cottenie, K. Muylaert, N. Vloemans, S. Cousin, S. Declerck, E. Jeppesen, J. M. Conde-Porcuna, K. Schwenk, G. Zwart, H. Degans, W. Vyverman & L. De Meester, 2007. The power of species sorting: local factors drive bacterial community composition over a wide range of spatial scales. Proceedings of the National Academy of Sciences of the United States of America 104: 20404–20409.

    Article  PubMed  PubMed Central  Google Scholar 

  • van Sickle, J. & R. M. Hughes, 2000. Classification strengths of ecoregions, catchments, and geographic clusters for aquatic vertebrates in Oregon. Journal of the North American Benthological Society 19: 370–384.

    Article  Google Scholar 

  • Vörösmarty, C., P. B. McIntyre, M. O. Gessner, D. Dudgeon, A. Prusevich, P. Green, S. Glidden, S. E. Bunn, C. A. Sullivan, C. R. Liermann & P. M. Davies, 2010. Global threats to human water security and river biodiversity. Nature 467: 555–561.

    Article  PubMed  Google Scholar 

  • Wiens, J., D. Ackerly, A. Allen, B. Anacker, L. Buckley & H. Cornell, 2010. Niche conservatism as an emerging principle in ecology and conservation biology. Ecology Letters 13: 1310–1324.

    Article  PubMed  Google Scholar 

  • Wilson, E. O., 1992. The Diversity of Life. Belknap Press of Harvard University Press, Cambridge.

    Google Scholar 

Download references

Acknowledgements

We are grateful to CNPq for financial support of the long-term ecological studies in the Upper Paraná River floodplain. We also thank NUPELIA group for gently giving us the data for the elaboration of this manuscript, L.M. Bini and two anonymous reviewers for valuable suggestions in the previous drafts of the manuscript, and J. A. Nienow for English assistance. A.A.P. acknowledges CNPq and CAPES for constant financial support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to André Andrian Padial.

Additional information

Handling editor: Beat Oertli

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOC 81 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

dos Santos Ribas, L.G., Padial, A.A. The use of coarser data is an effective strategy for biological assessments. Hydrobiologia 747, 83–95 (2015). https://doi.org/10.1007/s10750-014-2128-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10750-014-2128-6

Keywords

Navigation