Community assembly of rotifers based on morphological traits
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Trait patterns can give insights into how communities assemble under a functional perspective. We constructed a rotifer trait matrix related to food acquisition and predator defence and calculated Rao’s quadratic entropy (Q) as an index of functional diversity to investigate trait patterns in different layers (0–2, 5–35, 0–35 m) for a 5-year dataset of Lake Tovel, Italy. Trait patterns were determined by comparing Q observed to Q from random communities. While trait patterns can be determined by species traits, richness, and abundance, in most samples, irrespective of layer, trait patterns could be solely attributed to traits indicating their importance for community assembly. Trait convergence dominated in the upper layer, while trait divergence dominated in the lower layer. Using logistic regression, we related trait patterns to environmental parameters. In the lower layer, trait divergence was linked to competition for food while trait convergence was linked to copepod predation. However, in the upper layer neither competitors nor predators influenced trait patterns, and we suggest that ultraviolet radiation and temperature were the main drivers of trait convergence. Our study indicated that environmental filtering drove rotifer trait patterns in the upper layer, whereas species interactions drove trait patterns in the lower layer.
KeywordsLake Zooplankton Rao’s quadratic entropy Trait divergence Trait convergence Null model
This study was partially supported by ECOPLAN and CERCA research Grants (Province of Trento, Italy) and the Fondazione E. Mach. We thank two anonymous reviewers and Heidi Hauffe for helpful suggestions.
- Braioni, M. G. & D. Gelmini, 1983. Guide per il riconoscimento delle specie Animali delle acque interne Italiane. 23. Rotiferi Monogononti. Consiglio Nazionale delle Ricerche, Roma.Google Scholar
- Borsato, A. & P. Ferretti, 2006. Hydrological monitoring of Lake Tovel and its catchment [in Italian]. Studi Trentini di Scienze Naturali, Acta Biologica 81: 205–223.Google Scholar
- Bottrell, H. H., A. Duncan, Z. M. Gliwicz, E. Grygierek, A. Herzig, A. Hillbricht-Ilkowska, H. Kurosawa, P. Larsson & T. Weglenska, 1976. A review of some problems in zooplankton production studies. Norwegian Journal of Zoology 24: 419–456.Google Scholar
- Brown, J. H., A. P. Allen & J. F. Gillooly, 2007. The metabolic theory of ecology and the role of body size in marine and freshwater ecosystems. In Hildrew, A. G., D. G. Raffaelli & R. E. Brown (eds), Body Size: The Structure and Function of Aquatic Ecosystems. Cambridge University Press, Cambridge: 1–15.CrossRefGoogle Scholar
- Gotelli, N. J. & D. McCabe, 2002. Species co-occurrence: a meta-analysis of J.M. Diamond’s assembly rules model. Ecology 83: 2091–2096.Google Scholar
- Götzenberger, L., F. de Bello, K. A. Bråthen, J. Davison, A. Dubuis, A. Guisan, J. Leps, R. Lindborg, M. Moora, M. Pärtel, L. Pellissier, J. Pottier, P. Vittoz, K. Zobel & M. Zobel, 2012. Ecological assembly rules in plant communities-approaches, patterns and prospects. Biological Reviews 87: 111–127.CrossRefPubMedGoogle Scholar
- Hubbell, S. P., 2001. The Unified Neutral Theory of Biodiversity and Biogeography, Monographs in Population Biology. Princeton University Press, Princeton.Google Scholar
- Karabin, A., 1985. Pelagic zooplankton (Rotatoria + Crustacea) variation in the process of lake eutrophication. II. Modifying effect of biotic agents. Ekologia Polska 33: 617–644.Google Scholar
- Koste, W., 1978. Rotatoria. Die Rädertiere Mitteleuropas, Vol. 2. Gebrüder Borntraeger, Berlin.Google Scholar
- Lepš, J., F. de Bello, S. Lavorel & S. Berman, 2006. Quantifying and interpreting functional diversity of natural communities: practical considerations matter. Preslia 78: 481–501.Google Scholar
- MacArthur, R. H. & R. Levins, 1967. Limiting similarity convergence and divergence of coexisting species. American Naturalist 101: 377–385.Google Scholar
- Obertegger, U., M. G. Braioni & G. Flaim, 2006. The zooplankton of Lake Tovel. Studi Trentini di Scienze Naturali, Acta Biologica 81: 369–378.Google Scholar
- Obertegger, U., D. Fontaneto & G. Flaim, 2012. Using DNA taxonomy to investigate the ecological determinants of plankton diversity: explaining the occurrence of Synchaeta spp. (Rotifera, Monogononta) in mountain lakes. Freshwater Biology 56: 1–9.Google Scholar
- Pärtel, M., 2014. Community ecology of absent species: hidden and dark diversity. Journal of Vegetation Science 25: 1154–1159.Google Scholar
- R Development Core Team, 2013. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0 [available on internet at http://www.R-project.org/].
- Robin, X., T. Natacha, A. Hainard, N. Tiberti, F. Lisacek, J. C. Sanchez & M. Müller, 2011. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics 12: 77 [available on internet at http://www.biomedcentral.com/1471-2105/12/77/].
- Ruttner-Kolisko, A., 1974. Plankton rotifers, biology and taxonomy. Die Binnengewässer XXVI: 1–146.Google Scholar
- Utermöhl, H., 1958. Zur Vervollkommung der quantitativen Phytoplankton-Methodik. Mitteilungen der Internationalen Vereinigung der Limnologie 9: 1–38.Google Scholar
- Verberk, W., 2012. Explaining general patterns in species abundance and distributions. Nature Education Knowledge 3: 38.Google Scholar
- Vogt, R. J., B. E. Beisner & Y. T. Prairie, 2010. Functional diversity is positively associated with biomass for lake diatoms. Freshwater Biology 55: 1636–1646.Google Scholar
- Wallace, R. L., T. W. Snell, C. Ricci & N. Nogrady, 2006. Rotifera biology, ecology and systematics. In Wallace, R. L., T. W. Snell, C. Ricci & N. Nogrady (eds), Guides to the Identification of the Microinvertebrates of the Continental Waters of the World. SPB Academic Publishing, Amsterdam.Google Scholar
- Weiher, E., D. Freund, T. Bunton, A. Stefanski, T. Lee & S. Bentivenga, 2011. Advances, challenges and a developing synthesis of ecological community assembly theory. Proceedings of the Royal Society B 366: 2403–2413.Google Scholar