Abiotic parameters and phytoplankton were collected during 2010 and 2011 with the purpose of describing the phytoplankton distribution and the environmental characteristics. The diatoms were the most representative group in terms of species richness; in terms of density, the Cyanobacteria were more representative. Diversity and equitability were generally low in the estuary due to the dominance of Microcystis aeruginosa, an opportunistic and potentially toxic species of Cyanobacteria. The estuarine region is strongly impacted by high pollutant loads, especially nitrogen and phosphate compounds. Historical series of Apparent Oxygen Utilization (AOU) showed negative trends associated with changes in the estuarine system. The main biological components changed through 1999-2011 period. The dominance of the species changed from the Bacillariophyta in previous studies to the Cyanobacteria in our study. The species Microcystis aeruginosa, through its high density, dominance and frequency of occurrence, was the key species in the area.
References
[1]
Hasle, G.R. (1978) The Inverted-Microscope Methods. In: Sournia, A., Ed., Phytoplankton Manual, United Nations Educational, Scientific, and Cultural Organization, Paris, 88-96.
[2]
Edler, L. (1979) Recommendations of Methods of Marine Biological Studies in the Baltic Sea: Phytoplankton and Chlorophyll. The Baltic Marine Biologists, 5, 1-38.
[3]
Ferrario, M., Sars, E. and Sala, S. (1995) Metodologia Básica Para el Estúdio de Fitoplancton com Especial Referencia a las Diatomáceas. In: Alvear, K., Ferrario, M., Oliveira, F.E.C. and Sars, E., Eds., Manual de Métodos Ficoló-gicos, University of Concepción, Concepcion, 1-25.
[4]
Guiry, M.D. and Guiry, G.M. (2015) AlgaBase. Worldwide Eletronic Publication, National University of Ireland, Galway.
[5]
Mateucci, D. and Colma, A. (1982) La Metodologia Para el Estudo de Iavegetácion. Coleccion de Monografias Cientificas. General Secretariat of the Organization of American States, Washington DC.
[6]
Shannon, C.E. (1948) A Mathematical Theory of Communication. Bulletin System Technology Journal, 27, 379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
[7]
Valentin, J.L. (2000) Ecologia Numérica: Uma Introdução à Análise Multi-variada de Dados Ecológicos. Interciência, Rio de Janeiro.
[8]
Pielou, E.C. (1977) Mathematical Ecology. Wiley, New York.