4.3 Article

Seasonal and interannual variability of phytoplankton community structure in a Mediterranean coastal site

期刊

MARINE ECOLOGY PROGRESS SERIES
卷 592, 期 -, 页码 57-75

出版社

INTER-RESEARCH
DOI: 10.3354/meps12493

关键词

Mediterranean; Blanes Bay; Phytoplankton; Community structure; HPLC; Pigments; Time series

资金

  1. MINECO [CTM2015-70340-R]
  2. Grups Consolidats de Recerca of the Generalitat de Catalunya [2014 SGR/761, 2014 SGR/1179]
  3. EU
  4. National Counsel of Technological and Scientific Development (CNPq) of Brazil

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We studied phytoplankton community structure in surface waters of the fixed coastal station of the Blanes Bay Microbial Observatory (NW Mediterranean Sea). A chemotaxonomic approach based on HPLC analysis of phytoplankton pigments, followed by CHEMTAX algorithm implementation, was applied to a set of monthly samples taken during a 14 yr period (2000-2014). Additional samples were taken for nutrient analyses, flow cytometric measurements and during part of the period for phytoplankton cell counts by optical microscopy. Overall, the most abundant groups in terms of chlorophyll a (chl a) were haptophytes, diatoms and prasinophytes. In general, diatoms were the most important components of the total chl a maxima (T_Chl a). We observed a marked seasonality of T_Chl a and several phytoplankton groups (prasinophytes, diatoms, haptophytes, cryptophytes and pelagophytes) with autumn-winter or winter-spring maxima and summer minima, coinciding with similar variation in major nutrient concentrations. Prochloro coccus presented a fall-winter maximum and a spring-summer minimum, while Synechococcus peaked in April and August, and dinoflagellates were relatively important in summer. Super imposed to this general pattern, prasinophytes and diatoms responded positively to episodic fertilization events associated with freshwater runoff caused by rain storms. Most phytoplankton groups presented a decreasing linear interannual trend that could be associated with a reduction in nutrient availability. A possible driver for this oligotrophication is the improvement of wastewater treatment in the region.

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