Open Access
Issue
Knowl. Manag. Aquat. Ecosyst.
Number 416, 2015
Article Number 02
Number of page(s) 15
DOI https://doi.org/10.1051/kmae/2014038
Published online 15 January 2015
  • Ács E., Kiss K.T., Szabó K. and Makk J., 2000. Short-term colonization sequence of periphyton on glass slides in a large river River Danube, near Budapest. Arch.Hydrobiol.Suppl. 136, Algol.Stud., 100, 135–156.
  • Albay M. and Akçaalan R., 2008. Effects of water quality and hydrologic drivers on periphyton colonization on Sparganium erectum in two Turkish lakes with different mixing regimes. Environ.Monit.Assess., 146, 171–181. [CrossRef]
  • Anagnostidis K. and Komárek J., 1985. Modern approach to the classification system ofcyanophytes. 1. Introduction. Algol. Stud. Arch. Hydrobiol. Suppl., 71, 291–302.
  • Anagnostidis K. and Komárek J., 1988. Modern approach to the classification system of cyanophytes. 3. Oscillatoriales. Algol. Stud. Arch. Hydrobiol. Suppl., 80, 327–472.
  • APHA (American Public Health Association), 1992. Standard Methods for the Examination of Water and Wastewater. American Public Health Association, Washington, DC.
  • Azim M.E. and Asaeda T., 2005. Periphyton: structure, diversity and colonization. In: Azim M.E., Verdegem M.C.J., van Dam A.A. and Beveridge M.C.M. (eds.), Periphyton: ecology, exploitation and management. CABI Publishing, Wallingford, UK, 15–33.
  • Biggs B.J.F., Stevenson R.J. and Lowe R.L., 1998. A habitat matrix conceptual model for stream periphyton. Arch.Hydrobiol., 143, 21–56.
  • Borges F.R. and Necchi Jr. O., 2008. Short-term successional dynamics of a macroalgal community in a stream from northwestern São Paulo State, Brazil. Acta Bot.Bras., 22, 453–463. [CrossRef]
  • Branco C.C.Z., Branco L.H.Z., Moura M.O. and Bertusso F.R., 2005. The succession dynamics of a macroalgal community after a flood disturbance in a tropical stream from São Paulo State, southeastern Brazil. Revista.Brasil.Bot., 28, 267–275.
  • Buczkó K. and Rajczy M., 2001. Changes of attached diatoms in a dead arm of the Danube between 1992–1999 at Ásványráró (Szigetköz section). Studia Bot.Hung., 32, 39–61.
  • Clarke K.R. and Warwick R.M., 2001. Change in marine communities: An approach to statistical analysis and interpretation, 2nd ed. PRIMER-E, Plymouth.
  • Dunck B., Nogueira I.S. and Felisberto S.A., 2013. Distribution of periphytic algae in wetlands (Palm swamps, Cerrado), Brazil. Braz. J. Biol., 73, 331–346.
  • European Water Framework Directive 2000: Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 Establishing a Framework for Community Action in the Field of Water Policy. EN Official Journal of the European Communities L327, http://eur-lex.europa.eu, 72.
  • Ferreiro N., Giorgi A. and Feijoó C., 2013. Effects of macrophyte architecture and leaf shape complexity on structural parameters of the epiphytic algal community in a Pampean stream. Aquat.Ecol., 47, 389–401. [CrossRef]
  • Giorgi A., Feijoó C. and Tell G., 2005. Primary producers in a Pampean stream: temporal variation and structuring role. Biodivers.Conserv., 14, 1699–1718. [CrossRef]
  • Gottlieb A.D., Richards J.H. and Gaiser E.E., 2006. Comparative study of periphyton community structure in long and short-hydroperiod Everglades marshes. Hydrobiologia, 569, 195–207. [CrossRef]
  • Guiry M.D. and Guiry G.M., 2012. AlgaeBase. World-wide electronic publication, National University of Ireland, Galway. http://www.algaebase.org; searched on October, 2012.
  • Hindak F., Cyrus Z., Marvan P., Javornicky P., Komárek J., Etll H., Rosa K., Sladečkova A., Popovsky J., Punčocharova M. and Lhotsky O., 1978. Slatkovodne riasy. Slovenske pedagogicke nakladelstvo, Bratislava.
  • Huber-Pestalozzi G., 1962. Das Phytoplankton des Süßwassers. Systematik und Biologie. Teil. 2. E. Schweizerbart’śche Verlagsbuchhandlung (Erwin Nägele), Stuttgart.
  • Hustedt F., 1976. Bacillariophyta. Otto Koeltz Science Publishers, Koenigstein.
  • Komárek J. and Anagnostidis K., 1989. Modern approach to the classification system of cyanophytes. 4. Nostocales. Algol. Stud. Arch. Hydrobiol. Suppl., 56, 247–345.
  • Larned S.T., 2010. A prospectus for periphyton: recent and future ecological research. J. N. Am.Benthol.Soc., 29, 182–206. [CrossRef]
  • Lepš J. and Šmilauer P., 2003. Multivariate Analysis of Ecological Data Using CANOCO. Cambridge University Press, New York.
  • Lorenzen C.J., 1967. Determination of chlorophyll and phaeo-pigments spectrophotometric equations. In: Dykyová D. (ed.), Metody studia ecosystémù, Academia Praha, Praha, 336.
  • McCormick P.V., Shuford III R.B.E., Backus J.G. and Kennedy W.C., 1998. Spatial and seasonal patterns of periphyton biomass and productivity in the northern Everglades, Florida, USA. Hydrobiologia, 362, 185–208. [CrossRef]
  • Mihaljević M. and Stević F., 2011. Cyanobacterial blooms in a temperate river-floodplain ecosystem: the importance of hydrological extremes. Aquat.Ecol., 45, 335–349. [CrossRef]
  • Mihaljević M. and Žuna Pfeiffer T., 2012. Colonization of periphyton algae in a temperate floodplain lake under a fluctuating spring hydrological regime. Fundam.Appl.Limnol., 180, 13–25.
  • Mihaljević M., Stević F., Horvatić J. and Hackenberger Kutuzović B., 2009. Dual impact of the flood pulses on the phytoplankton assemblages in a Danubian floodplain lake (Kopački Rit Nature Park, Croatia). Hydrobiologia, 618, 77–88. [NASA ADS] [CrossRef] [EDP Sciences] [MathSciNet] [PubMed]
  • Mihaljević M., Stević F., Špoljarić D. and Žuna Pfeiffer T., 2014. Spatial pattern of phytoplankton based on the morphology-based functional approach along a river-floodplain gradient. River Res.Appl., DOI: 10.1002/rra.2739.
  • Moresco C. and Rodrigues L., 2010. Structure and dynamics of the periphytic algae community of Iraí reservoir, Paraná State, Brazil. Acta Sci.Biol. Sci., 32, 23–30.
  • Murakami E.A., Bicudo D.C. and Rodrigues L., 2009. Periphytic algae of the Garças Lake, Upper Paraná River floodplain: comparing the years 1994 and 2004. Braz. J. Biol., 69, 459–468. [CrossRef] [PubMed]
  • Pan Y., Hughes R.M., Herlihy A.T. and Kaufmann P.R., 2012. Non-wadeable river bioassessment: spatial variation of benthic diatom assemblages in Pacific Northwest rivers, USA. Hydrobiologia, 684, 241–260. [CrossRef]
  • Passy S.I., 2007. Diatom ecological guilds display distinct and predictable behavior along nutrient and disturbance gradients in running waters. Aquat. Bot. 86, 171–178. [CrossRef]
  • Peterson G.C. and Stevenson R.J., 1992. Resistance and resilience of lotic algal communities: importance of disturbance timing and current. Ecology, 73, 1445–1461. [CrossRef]
  • Rimet F. and Bouchez A., 2011. Use of diatom life-forms and ecological guilds to assess pesticide contamination in rivers: Lotic mesocosm approaches. Ecol.Indic., 11, 489–499. [CrossRef]
  • Rimet F. and Bouchez A., 2012. Life-forms, cell-sizes and ecological guilds of diatoms in European rivers. Knowl. Managt. Aquatic Ecosyst., 406, 01. [CrossRef] [EDP Sciences]
  • Schneck F. and Melo A.S., 2012. Hydrological disturbance intensity overrides substrate roughness effects on the resistance and resilience of stream benthic algae. Freshw.Biol., 57, 1678–1688. [CrossRef]
  • Schwarz U., 2005. Landschaftsökologische Charakterisierung des Kopački Rit unter besonderer Berücksichtigung von Flusslandschaftsformen sowie deren Genese und Typologie. Dissertation. University of Wien.
  • Shannon C.E. and Weaver W., 1949. The Mathematical Theory of Communication. University Illionis Press, Urbana, USA, 117.
  • Stanley E.H., Powers S.M. and Lottig N.R., 2010. The evolving legacy of disturbance in stream ecology: concepts, contributions, and coming challenges. J. N. Am.Benthol.Soc., 29, 67–83. [CrossRef]
  • Stenger-Kovács C., Padisák J. and Bíró P., 2006. Temporal variability of Achnanthidium minutissimum (Kützing) Czarnecki and its relationship to chemical and hydrological features of the Torna-stream, Hungary. 6th International Symposium on Use of algae for monitoring rivers. Hungary, Balatonfüred, 133–138.
  • Stenger-Kovács C., Lengyel E., Crossetti L.O., Üvegesa V. and Padisák J., 2013. Diatom ecological guilds as indicators of temporally changing stressors and disturbances in the small Torna-stream, Hungary. Ecol. Indic., 24, 138–147. [CrossRef]
  • Stevenson R.J., 1996. An introduction to algal ecology in freshwater benthic habitats. In: Stevenson R.J., Bothwell M.L. and Lowe R.L. (eds.), Algal ecology, freshwater benthic ecosystems, Academic Press, San Diego, 3–33.
  • Stilinović B. and Plenković-Moraj A., 1995. Bacterial and phytoplanktonic research of Ponikve artificial lake on the island of Krk. Period.Biol., 97, 351–358.
  • Strickland J.D.H. and Parsons T.R., 1968. A practical hand-book of seawater analysis. Bull. Fish. Res. Board Can., 167, 1–310.
  • Tockner K. and Stanford J.A., 2002. Riverine floodplains: present state and future trends. Environ.Conserv., 29, 308–330. [CrossRef]
  • Tockner K., Pusch M., Borchardt D. and Lorang M.S., 2010. Multiple stressors in coupled river-floodplain ecosystems. Freshw.Biol., 55, 135–151. [CrossRef]
  • UNESCO, 1966. Determinations of photosynthetic pigments in seawater. Report of SCOR – UNESCO Working Group 17. Monographs on Oceanographic Methodology, Paris, 69.
  • van Donk E. and van de Bund W.J., 2002. Impact of submerged macrophytes including charophytes on phyto- and zooplankton communities: allelopathy versus other mechanisms. Aquat. Bot., 72, 261–274. [CrossRef]
  • Weitzel R.L., 1979. Periphyton Measurements and Applications. In: Weitzel R.L. (ed.), Methods and measurements of periphyton communities: a review, American society for testing and materials, Baltimore, 3–33.
  • Žuna Pfeiffer T., Mihaljević M., Stević F. and Špoljarić D., 2013. Periphytic algae colonization driven by variable environmental components in a temperate floodplain lake. Ann.Limnol. - Int. J . Lim., 49, 179–190. [CrossRef] [EDP Sciences]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.