Literature DB >> 23229826

Nutrient and phytoplankton analysis of a Mediterranean coastal area.

M T Sebastiá1, M Rodilla.   

Abstract

Identifying and quantifying the key anthropogenic nutrient input sources are essential to adopting management measures that can target input for maximum effect in controlling the phytoplankton biomass. In this study, three systems characterized by distinctive main nutrient sources were sampled along a Mediterranean coast transect. These sources were groundwater discharge in the Ahuir area, the Serpis river discharge in the Venecia area, and a submarine wastewater outfall 1,900 m from the coast. The study area includes factors considered important in determining a coastal area as a sensitive area: it has significant nutrient sources, tourism is a major source of income in the region, and it includes an area of high water residence time (Venecia area) which is affected by the harbor facilities and by wastewater discharges. We found that in the Ahuir and the submarine wastewater outfall areas, the effects of freshwater inputs were reduced because of a greater water exchange with the oligotrophic Mediterranean waters. On the other hand, in the Venecia area, the highest levels of nutrient concentration and phytoplankton biomass were attributed to the greatest water residence time. In this enclosed area, harmful dinoflagellates were detected (Alexandrium sp. and Dinophysis caudata). If the planned enlargement of the Gandia Harbor proceeds, it may increase the vulnerability of this system and provide the proper conditions of confinement for the dinoflagellate blooms' development. Management measures should first target phosphorus inputs as this is the most potential-limiting nutrient in the Venecia area and comes from a point source that is easier to control. Finally, we recommend that harbor environmental management plans include regular monitoring of water quality in adjacent waters to identify adverse phytoplankton community changes.

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Year:  2012        PMID: 23229826     DOI: 10.1007/s00267-012-9986-3

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  7 in total

1.  Eutrophication: impacts of excess nutrient inputs on freshwater, marine, and terrestrial ecosystems.

Authors:  V H Smith; G D Tilman; J C Nekola
Journal:  Environ Pollut       Date:  1999       Impact factor: 8.071

2.  A rapid decision-making method for the evaluation of pollution-sensitive coastal areas in the Mediterranean sea.

Authors:  Michael O Angelidis; George Kamizoulis
Journal:  Environ Manage       Date:  2005-06       Impact factor: 3.266

3.  Development of a system of indicators for sustainable port management.

Authors:  E Peris-Mora; J M Diez Orejas; A Subirats; S Ibáñez; P Alvarez
Journal:  Mar Pollut Bull       Date:  2005-08-10       Impact factor: 5.553

4.  Assessment of eutrophication in estuaries: pressure-state-response and nitrogen source apportionment.

Authors:  David Whitall; Suzanne Bricker; Joao Ferreira; Ana M Nobre; Teresa Simas; Margarida Silva
Journal:  Environ Manage       Date:  2007-07-27       Impact factor: 3.266

5.  Nutrient budgets for European seas: a measure of the effectiveness of nutrient reduction policies.

Authors:  Yuri Artioli; Jana Friedrich; Alison J Gilbert; Abigail McQuatters-Gollop; Laurence D Mee; Jan E Vermaat; Fred Wulff; Christoph Humborg; Luca Palmeri; Falk Pollehne
Journal:  Mar Pollut Bull       Date:  2008-07-22       Impact factor: 5.553

6.  Survey on environmental monitoring requirements of European ports.

Authors:  R M Darbra; N Pittam; K A Royston; J P Darbra; H Journee
Journal:  J Environ Manage       Date:  2008-10-16       Impact factor: 6.789

7.  Phytoplankton pigments and epifluorescence microscopy as tools for ecological status assessment in coastal and estuarine waters, within the Water Framework Directive.

Authors:  Sergio Seoane; Maialen Garmendia; Marta Revilla; Angel Borja; Javier Franco; Emma Orive; Victoriano Valencia
Journal:  Mar Pollut Bull       Date:  2011-05-06       Impact factor: 5.553

  7 in total

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