Phytoplankton community structure defined by key environmental variables in Tagus estuary, Portugal

Brogueira, Maria José; Oliveira, Maria do Rosário; Cabeçadas, G.

doi:10.1016/j.marenvres.2007.06.007

Cited by 56 publications

(26 citation statements)

References 18 publications

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“…Diatoms were consistently dominant over other phytoplankton groups between 2002 and 2007, similar to previous studies (Brogueira et al 2007;Cabrita et al 1999;Gameiro et al 2004;Sousa e Silva et al 1969). In general, shifts in functional groups are associated with changes in nutrient ratios, as some phytoplankton species experience competitive advantage over others under different environmental conditions (Egge and Aksnes 1992;Officer and Ryther 1980).…”

Section: Discussionsupporting

confidence: 90%

“…The non-continuous 27-year period (1980-2007) dataset analyzed in this paper includes: (1) data from January to Shaded areas represent intertidal zones (light gray) and saltmarsh cover (dark gray) and symbols indicate the sampling sites; filled circle this study (2006)(2007) and Gameiro et al (2004Gameiro et al ( , 2007 four stations (1-4); filled square station S2 in Cabrita et al (1997;; filled triangle station 2.0, 2.7, and 3.8 in Martins and Duffner (1982) and Moita (1982); filled inverted triangle station I at Sousa e Silva et al (1969); * station 4-10, 18, and 19 in Brogueira et al (2007) December 1980 (Martins and Duffner 1982;Moita 1982), (2) data from May 1994 to December 1995 (Cabrita 1997;Cabrita et al 1999), (3) published results from 1999 to 2005, by Gameiro et al (2004Gameiro et al ( , 2007, and (4) data collected from January 2006 to November 2007 by the authors. Stations sampled over the years and located at the uppermid estuary were selected for this study, namely stations 2.…”

Section: Time Series Datasetmentioning

confidence: 96%

“…0, 2.7, and 3.8 during 19800, 2.7, and 3.8 during , station S2 during 19940, 2.7, and 3.8 during -19950, 2.7, and 3.8 during , and stations 1 to 4 between 19990, 2.7, and 3.8 during and 2007. Sousa e Silva et al (1969) and Brogueira et al (2007) datasets at stations I and 4-10, 18 and 19, respectively, were considered only for phytoplankton species composition analysis. According to Braunschweig et al (2003), all these sampling stations are located in the same water body, classified according to its physical and biological characteristics.…”

Section: Time Series Datasetmentioning

confidence: 99%

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Patterns of Phytoplankton Variability in the Tagus Estuary (Portugal)

Gameiro

Brotas

2009

Estuaries and Coasts

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Data were collected in the Tagus estuary from 1999-2007 on a monthly basis and combined with published results and for several previous years between 1980 and 1995, so that a comprehensive analysis could be performed over a non-continuous 27-year period. Sampling conditions and methods were similar for all datasets. Extreme wet and dry years were observed. River flow was strongly linked to phytoplankton abundance, with the highest biomass attained in dry years. The observed range of annual median Chl a was 1.8-7.6 µg L −1 and the overall median was 3.5 µg L −1 . Dissolved inorganic nitrogen (DIN) and silicate showed a clear seasonal pattern, with a maximum in winter−spring, indicating a freshwater origin. Although wastewater treatment started in 1990, no difference was detected from 1980 to the present in terms of DIN and phosphorus. The recorded seasonal pattern for biomass with highest values in late spring-summer period is comparable to other temperate tidally influenced ecosystems. In spite of interannual differences in terms of Chl a concentration or the time of the maximum Chl a occurrence, a repeatable pattern could be identified. The mean growth development time for phytoplankton was 163 days (June 12) ranging 129-206 days (May 9-July 26) during the sampling period. No obvious changes in phytoplankton community structure were observed over time: diatoms were always the dominant group, and cryptophytes were relatively abundant throughout autumn-winter. The dominant species have remained essentially the same since 1969.River inflow, light availability, and temperature were the major factors shaping phytoplankton variability patterns. The strong influence of tidal mixing on the estuarine waters appears to lower the risk of potential eutrophication in the Tagus estuary. The lack of change in nutrients and phytoplankton biomass and composition observed in this study is an important contribution towards the assessment of natural variability versus responses to man-induced inputs in this severely anthropogenically disturbed estuary.

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Section: Discussionsupporting

confidence: 90%

Section: Time Series Datasetmentioning

confidence: 96%

Section: Time Series Datasetmentioning

confidence: 99%

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Patterns of Phytoplankton Variability in the Tagus Estuary (Portugal)

Gameiro

Brotas

2009

Estuaries and Coasts

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“…Two important factors appear to control the phytoplankton community structure, as well as the species succession. The first one is related to physical processes such as mixing conditions, light, temperature, turbulence, and salinity; and the second one is associated with nutrients (YUSOFF et al, 2002;NUCCIO et al, 2003;DOMINGUES et al, 2005;ÁLVAREZ-GÓNGORA and HERRERA-SILVEIRA, 2006;BROGUEIRA et al, 2007;DOMINGUES et al, 2007). …”

Section: Introductionmentioning

confidence: 99%

Longitudinal Differences of Phytoplankton Community during a Period of Small Water Level Fluctuations in a Subtropical Reservoir Bay (Xiangxi Bay, Three Gorges Reservoir, China)

Wang

Cai

Tan

et al. 2011

International Review of Hydrobiology

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The Three Gorges Reservoir (TGR) had a great inflow discharge with small water level fluctuations in the flood season of the year 2008, when a large-scale cyanobacterial bloom broke out in Xiangxi Bay (a tributary bay behaving like a lake) for the first time after the construction of the TGR impoundment. To compare spatiotem poral longitudinal differences of phytoplankton community structure during this period, weekly surveys were performed in Xiangxi Bay. The cyanobacterial bloom lasted from June 6 to July 18, 2008, with Microcystis aeruginosa as the dominant species. During this bloom the species diversity, evenness and community change rate was relatively low. The probable causes for the interruption of the bloom were precipitation and water temperature. In the non-cyanobacterial bloom period (July 25 to September 26, 2008) many other species dominated the community including Stephanodiscus hantzschii and Cryptomonas ovata, with higher values of species diversity, evenness and community change rate. As for the longitudinal differences, the community structure in the riverine zone was different from that in other zones, indicating the important effect of inflow from the upstream of Xiangxi Bay. The management actions in Xiangxi Bay should prevent blooms in the mainstream, lacustrine and transitional zone. IntroductionPhytoplankton composition can be recognized as a natural bioindicator because of its complex and rapid responses to fluctuations of environmental conditions (L IVINGSTON, 2001). Phytoplankton community composition changes as a consequence of species succession, which occurs in response to new environmental conditions (ÁLVAREZ-GÓNGORA and HERRE- RA-SILVEIRA, 2006). Two important factors appear to control the phytoplankton community structure, as well as the species succession. The first one is related to physical processes such as mixing conditions, light, temperature, turbulence, and salinity; and the second one is associated with nutrients (YUSOFF et al., 2002;NUCCIO et al., 2003;DOMINGUES et al., 2005;ÁLVAREZ-GÓNGORA and HERRERA-SILVEIRA, 2006;BROGUEIRA et al., 2007;DOMINGUES et al., 2007).

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“…A number of factors define phytoplankton abundance and community structure in coastal ecosystems, including salinity, temperature, light (influenced by turbidity), nutrients, and water dynamics (Brogueira et al 2007). In addition, phytoplankton composition influences various processes such as nutrient recycling, grazing, particle sinking, and food webs (Cetinic et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Monsoon-driven dynamics of environmental factors and phytoplankton in tropical Sanya Bay, South China sea

Zhang

Dong

et al. 2011

Oceanological and Hydrobiological Studies

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In this work, we analyze environmental (physical and chemical) and biological (phytoplankton) data obtained in Sanya Bay during four cruises, carried out in January, April, August, and October. The main objective of this study was to identify the key environmental factors affecting phytoplankton structure and bacterioplankton in the bay. Results suggest that spatial variations in the phytoplankton community and bacterioplankton biomass are the result of nutrients. Temporal variation in the abundance of bacterioplankton and phytoplankton are affected by a combination of physical and biological factors, such as

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Phytoplankton community structure defined by key environmental variables in Tagus estuary, Portugal

Cited by 56 publications

References 18 publications

Patterns of Phytoplankton Variability in the Tagus Estuary (Portugal)

Patterns of Phytoplankton Variability in the Tagus Estuary (Portugal)

Longitudinal Differences of Phytoplankton Community during a Period of Small Water Level Fluctuations in a Subtropical Reservoir Bay (Xiangxi Bay, Three Gorges Reservoir, China)

Monsoon-driven dynamics of environmental factors and phytoplankton in tropical Sanya Bay, South China sea

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