Abstract
The application of trait-based approaches has become a widely applied tool to analyse community assembly processes and dynamics in phytoplankton communities. Its advantages include summarizing information of many species without losing essentials of the main driving processes. Here, we used trait-based approaches to study phytoplankton temporal succession in a subtropical reservoir. We applied a combined approach including morphological traits (i.e. volume, surface) and functional clustering of species (morphology-based functional groups (MBFG) and Reynolds’ groups) and related the clustering of species with the environment. We found that this reservoir is characterized by a low richness and a bimodal distribution of phytoplankton biomass. Taxonomic and functional classifications were coincident, and the dominant species and groups biomasses were explained by the same group of variables. For instance, group X 2, MBFG V and Carteria sp. biomasses were explained by: pH, Secchi disk depth, N-NH4; while group B, MBFG VI and Cyclotella ocellata biomasses were explained by stability of the water column, incident solar radiation, Secchi disk depth and N-NH4. From our results, we state that functional and taxonomic classifications are complementary rather than opposed approaches, and their specific uses depend exclusively on the aim of the study and the characteristics of the environment under evaluation. Our work is the first description of phytoplankton dynamics in a reservoir in the arid central western Argentina (Cuyo region).
Similar content being viewed by others
References
APHA AWWA WEF (1998). Standard Methods for the Examination of Water and Wastewater. Washington: American Public Health Association, American Water Works Association, Water Environment Federation.
Becker, V., Huszar, V. L. M., & Crossetti, L. O. (2009). Responses of phytoplankton functional groups to the mixing regime in a deep subtropical reservoir. Hydrobiologia, 628, 137–151.
Becker, V., Caputo, L., Ordóñes, J., Marcé, R., Armengol, J., Crossetti, L. O., & Huszar, V. L. M. (2010). Driving factors of the phytoplankton functional groups in a deep Mediterranean reservoir. Water Research, 44, 3345–3354.
Borges, P. A. F., Train, S., & Rodrigues, L. C. (2008). Spatial and temporal variation of phytoplankton in two subtropical Brazilian reservoirs. Hydrobiologia, 607, 63–74.
Costa, L. S., Huszar, V. L. M., & Ovalle, A. R. (2009). Phytoplankton functional groups in a tropical estuary: hydrological control and nutrient limitation. Estuaries and Coasts, 32, 508–521.
Crossetti, L. O., & Bicudo, C. M. E. (2008). Phytoplankton as a monitoring tool in a tropical urban shallow reservoir (Garças Pond): the assemblage index application. Hydrobiologia, 610, 161–173.
DACC Dirección de Agricultura y Contingencias Climáticas. (2012). Statistic Data. In Spanish. Ministerio de Producción, Tecnología e Innovación. Gobierno de Mendoza. Mendoza; Online data: http://www.contingencias.mendoza.gov.ar.
DGI. (2006). Limnological characterization of the reservoirs of Mendoza Province. In: Spanish. Technical report. Final. Iberoamerican States Organization - Irrigation General Department. Mendoza, Argentina.
Di Rienzo, J. A., Casanoves, F., Balzarini, M. G., Gonzalez, L., Tablada, M. & Robledo C. W. (2011). InfoStat Group, FCA, Universidad Nacional de Córdoba, Argentina. URL http://www.infostat.com.ar.
Follows, M. J., Dutkiewicz, S., Grant, S., & Chisholm, S. W. (2007). Emergent biogeography of microbial communities in a model ocean. Science, 315, 1843–1846.
Fraisse, S., Bormans, M., & Lagadeuc, Y. (2013). Morphofunctional traits reflect differences in phytoplankton community between rivers of contrasting flow regime. Aquatic Ecology, 47, 315–327.
Gallego, I., Davidson, T. A., Jeppesen, E., Pérez-Martínez, C., Sánchez-Castillo, P., Juan, M., Fuentes-Rodríguez, F., León, D., Peñalver, P., Toja, J., & Casas, J. J. (2012). Taxonomic or ecological approaches? Searching for phytoplankton surrogates in the determination of richness and assemblage composition in ponds. Ecological Indicators, 18, 575–585.
Graham, L. E., & Wilcox, L. W. (2000). Algae. Prentice-Hall, Upper Saddle River.
Gurbuz, H., Kivrak, E., Soyupak, S., & Yerli, S. V. (2003). Predicting dominant phytoplankton quantities in a reservoir by using neural networks. Hydrobiologia, 504, 133–141.
Hillebrand, H., Dürselen, C., Kirschtel, D., Zohary, T., & Pollingher, U. (1999). Biovolume calculation for pelagic and benthic microalgae. Journal of Phycology, 35, 403–424.
Hu, R., Han, B., & Naselli-Flores, L. (2013). Comparing biological classifications of freshwater phytoplankton: a case study from South China. Hydrobiologia, 701, 219–233.
Huisman, J., & Weissing, F. J. (2001). Fundamental unpredictability in multispecies competition. American Naturalist, 157, 488–494. doi:10.1086/319929.
Huszar, V., Kruk, C., & Caraco, N. (2003). Steady-state assemblages of phytoplankton in four temperate lakes (NE U.S.A.). Hydrobiologia, 502, 97–109.
Izaguirre, I., Allende, L., Escaray, R., Bustingorry, J., Pérez, G., & Tell, G. (2012). Comparison of morpho-functional phytoplankton classifications in human-impacted shallow lakes with different stable states. Hydrobiologia, 698, 203–216.
Jeppesen, E., Søndergaard, M., Mazzeo, N., Meerhoff, M., Branco, C. C., Huszar, V., & Scasso, F. (2005). Lake restoration and biomanipulation in temperate lakes: relevance for subtropical and tropical lakes. In V. Reddy (Ed.), Tropical eutrophic lakes: their restoration and management (pp. 331–359). Enfield: Science Publishers.
Ji, Z. G. (2008). Hydrodynamics and water quality: modeling rivers, lakes, and estuaries. New Jersey: Wiley-Interscience.
Kirk, J. T. O. (2011). Light and photosynthesis in aquatic ecosystems. Cambridge: Cambridge University Press.
Kruk, C., & Segura, A. (2012). The habitat template of phytoplankton morphology-based functional groups. Hydrobiologia, 698, 191–202.
Kruk, C., Mazzeo, N., Lacerot, G., & Reynolds, C. S. (2002). Classification schemes for phytoplankton: a local validation of a functional approach to the analysis of species temporal replacement. Journal of Plankton Research, 24, 901–912.
Kruk, C., Huszar, V. L. M., Peeters, E. T. H. M., Bonilla, S., Costa, L., Lürling, M., Reynolds, C. S., & Scheffer, M. (2010). A morphological classification capturing functional variation in phytoplankton. Freshwater Biology, 55, 614–627.
Kruk, C., Peeters, E. T. H. M., Van Nes, E. H., Huszar, V. L. M., Costa, L. S., & Scheffer, M. (2011). Phytoplankton community composition can be predicted best in terms of morphological groups. Limnology and Oceanography, 56, 110–118.
Kruk, C., Martínez, A., Nogueira, L., Alonso, C., & Calliari, D. (2015). Morphological traits variability reflects light limitation of phytoplankton production in a highly productive subtropical estuary (Río de la Plata, South America). Marine Biology. doi:10.1007/s00227-014-2568-6.
Lavorel, S., McIntyre, S., Landsberg, J., & Forbes, T. D. A. (1997). Plant functional classifications: from general groups to specific groups based on response to disturbance. Trends in Ecology & Evolution, 12, 474–478.
León, J. G. (2013). Nutrient dynamics effects on phytoplankton in El Carrizal Reservoir, Mendoza, Argentina: relationship between water quality and use. In: Spanish. PhD Thesis. Universidad Nacional de Córdoba.
León, J. G., & Pedrozo, F. L. (2014). Lithological and hydrological controls on water composition: evaporite dissolution and glacial weathering in the South Central Andes of Argentina (33°–34° S). Hydrological Processes. doi:10.1002/hyp.10226.
Machado, K. B., Borges, P. P., Carneiro, F. M., de Santana, J. F., Vieira, L. C. G., de Moraes Huszar, V. L., & Nabout, J. C. (2015). Using lower taxonomic resolution and ecological approaches as a surrogate for plankton species. Hydrobiologia, 743(1), 255–267.
Margalef, R. (1978). Life-forms of phytoplankton as survival alternatives in an unstable environment. Oceanologica Acta, 1, 493–509.
McGill, B. J. (2010). Matters of scale. Science, 328, 575–576.
Meerhoff, M., Teixeira-de Mello, F., Kruk, C., Alonso, C., González-Bergonzoni, I., Pacheco, J. P., Lacerot, G., Arim, M., Beklioğlu, M., Brucet, S., Goyenola, G., Iglesias, C., Mazzeo, N., Kosten, S., & Jeppesen, E. (2012). Environmental warming in shallow lakes: a review of potential changes in community structure as evidenced from space-for-time substitution approaches. Advances in Ecological Research, 46, 1–91.
Mieleitner, J., Borsuk, M., Bürgi, H. R., & Reichert, P. (2008). Identifying functional groups of phytoplankton using data from three lakes of different trophic state. Aquatic Sciences, 70, 30–46.
Naselli-Flores, L. (2000). Phytoplankton assemblage in twenty-one Sicilian reservoirs: relationships between species composition and environmental factors. Hydrobiologia, 424, 1–11.
Naselli-Flores, L., & Barone, R. (2005). Water-level fluctuations in Mediterranean reservoirs: setting a dewatering threshold as a management tool to improve water quality. Hydrobiologia, 548, 85–99.
Naselli-Flores, L., Padisák, J., & Albay, M. (2007). Shape and size in phytoplankton ecology: do they matter? Hydrobiologia, 578, 157–161.
Pacheco, J. P., Iglesias, C., Meerhoff, M., Fosalba, C., Goyenola, G., Teixeira-de Mello, F., García, S., Gelós, M., & García-Rodríguez, F. (2010). Phytoplankton community structure in five subtropical shallow lakes with different trophic status (Uruguay): a morphology based approach. Hydrobiologia, 646, 187–197.
Padisák, J., Barbosa, F., Koschel, R., & Krienitz, L. (2003). Deep layer cyanoprokaryota maxima are constitutional features of lakes: examples from temperate and tropical regions. Advances in Limnology, 58, 175–199.
Padisák, J., Crossetti, L. O., & Naselli-Flores, L. (2009). Use and misuse in the application of the phytoplankton functional classification: a critical review with updates. Hydrobiologia, 621, 1–19.
Peel, M. C., Finlayson, B. L., & McMahon, T. A. (2007). Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences, 11, 1633–1644.
Peralta, P., & Claps, M. C. (2001). Seasonal variation of the mountain phytoplankton in the arid Mendoza basin, Westcentral Argentina. Journal of Freshwater Ecology, 16, 445–454.
Peralta, P., & Claps, M. C. (2002). Plankton of a shallow high mountain lake (Los Horcones, Mendoza, Argentina): an approach. Verhandlungen Internationale Vereinigung Limnologie, 28, 1036–1040.
Peralta, P., & Fuentes, V. (2005). Fitobentos, fitoplanctos y zooplancton litoral del Bañado de Carilauquen, Cuenca de Llancanelo, Mendoza, Argentina. Limnetica, 24, 183–198.
Peralta, P. I., & León, J. G. (2006). Caracterización Limnológica de los embalses de la provincia de Mendoza, Argentina. Technical Report. Mendoza: General Department of Irrigation.
Quirós, R., & Drago, E. (1999). The environmental state of the Argentinean lakes: an overview. Lake and Reservoir Management, 4, 55–64.
Reynolds, C. S. (1984). The ecology of freshwater phytoplankton. Cambridge: Cambridge University Press.
Reynolds, C. S. (1997). Vegetation processes in the pelagic: a model for ecosystem theory. Oldendorf: Ecology Institute.
Reynolds, C. S. (1998). What factors influence the species composition of phytoplankton in lakes of different trophic status? Hydrobiologia, 369(370), 11–26.
Reynolds, C. S. (1999). Metabolic sensitivities of lacustrine ecosystems to anthropogenic forcing. Aquatic Sciences, 61, 183–205.
Reynolds, C. S. (2006). Ecology of phytoplankton. Cambridge: Cambridge University Press.
Reynolds, C. S., & Irish, A. E. (1997). Modelling phytoplankton dynamics in lakes and reservoirs: the problem of in situ growth rates. Hydrobiologia, 349, 5–17.
Reynolds, C. S., Huszar, V., Kruk, C., Naselli-Flores, L., & Melo, S. (2002). Towards a functional classification of the freshwater phytoplankton. Journal of Plankton Research, 24, 417–428.
Reynolds, C. S., Elliott, J. A., & Frassl, M. A. (2014). Predictive utility of trait-separated phytoplankton groups: a robust approach to modeling population dynamics. Journal of Great Lakes Research, 40, 143–150.
Salmaso, N., & Padisák, J. (2007). Morpho-functional groups and phytoplankton development in two deep lakes (Lake Garda, Italy and Lake Stechlin, Germany). Hydrobiologia, 578, 97–112. doi:10.1111/fwb.12520.
Salmaso, N., Naselli-Flores, L., & Padisák, J. (2014). Functional classifications and their application in phytoplankton ecology. Freshwater Biology. doi:10.1111/fwb.12520
Scheibler, E. E., & Debandi, G. (2008). Spatial and temporal patterns in the aquatic insect community of a high altitude Andean Stream (Mendoza, Argentina). Aquatic Insects, 30, 145–161.
Segura, A., Kruk, C., Calliari, D., García-Rodriguez, F., Conde, D., Widdicombe, C. E., & Fort, H. (2013). Use of a morphology-based functional approach to model phytoplankton community succession in a shallow subtropical lake. Freshwater Biology, 58, 504–512.
Ter Braak, C. J. F. & Smilauer, P. (2002). CANOCO reference manual and CanoDraw for windows user’s guide: software for canonical community ordination (Version 5). Ithaca: Microcomputer power, (www.canoco.com).
Tilman, D., Kilham, S. S., & Kilham, P. (1982). Phytoplankton community ecology: the role of limiting nutrients. Annual Review of Ecology and Systematics, 13, 349–372.
Utermöhl, H. (1958). Zur vervollkomrnnung ver quantitativen phytoplankton methodic. Mitteilungen Internationale Vereiningung fuer Theoretische und Angewandte Limnologie, 9, 1–38.
Violle, C., Navas, M.-L., Vile, D., Kazakou, E., Fortunel, C., Hummel, I., & Garnier, E. (2007). Let the concept of trait be functional! Oikos, 116, 882–892.
Wang, L., Cai, Q., Xu, Y., Kong, L., Tan, L., & Zhang, M. (2011). Weekly dynamics of phytoplankton functional groups under high water level fluctuations in a subtropical reservoir-bay. Aquatic Ecology, 45, 197–212.
Weithoff, G. (2003). The concepts of “plant functional types” and “functional diversity” in lake phytoplankton—a new understanding of phytoplankton ecology? Freshwater Biology, 48, 1669–1675.
Wetzel, R. G., & Likens, G. E. (1991). Limnological analyses (2nd ed.). New York: Springer Verlag.
Wilk-Wožniak, E., & Pociecha, A. (2007). Dynamics of chosen species of phyto- and zooplankton in a deep submontane dam reservoir in light of differing life strategies. Oceanological and Hydrobiological Studies, 36, 35–48.
Xiao, L. J., Wang, T., Hu, R., Han, B.-P., Wang, S., Qian, X., & Padisák, J. (2011). Succession of phytoplankton functional groups regulated by monsoonal hydrology in a large canyon-shaped reservoir. Water Research, 45, 5099–5109.
Xu, Y., Cai, Q., Han, X., Shao, M., & Liu, R. (2010). Factors regulating trophic status in a large subtropical reservoir, China. Environmental Monitoring and Assessment, 169, 2378248.
Acknowledgments
The authors thank G. Baffico and R. Escalante for analysis assistance, P. Bueno for laboratory support and A. Atencio for sampling assistance. This study received financial support from ANPCyT (PICT 2010–0270) and Universidad Nacional del Comahue (Programme 04/B166). We finally acknowledge to the two anonymous reviewers for their constructive advice to improve the manuscript.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Beamud, S.G., León, J.G., Kruk, C. et al. Using trait-based approaches to study phytoplankton seasonal succession in a subtropical reservoir in arid central western Argentina. Environ Monit Assess 187, 271 (2015). https://doi.org/10.1007/s10661-015-4519-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10661-015-4519-1