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Effects of offshore platforms on soft-bottom macro-benthic assemblages: A case study in a Mediterranean gas field
Terlizzi, A.; Bevilacqua, S.; Scuderi, D.; Fiorentino, D.; Guarnieri, G.; Giangrande, A.; Licciano, M.; Felline, S.; Fraschetti, S. (2008). Effects of offshore platforms on soft-bottom macro-benthic assemblages: A case study in a Mediterranean gas field. Mar. Pollut. Bull. 7(7): 1303-1309. http://dx.doi.org/10.1016/j.marpolbul.2008.04.024
In: Marine Pollution Bulletin. Macmillan: London. ISSN 0025-326X; e-ISSN 1879-3363, more
Peer reviewed article  

Available in  Authors | Dataset 
    VLIZ: Open Repository 136929 [ MOA ]

Keywords
    Biodiversity
    Classification > Taxonomy
    Gradients
    Oil and gas production
    Structures > Hydraulic structures > Offshore structures
    Marine/Coastal
Author keywords
    offshore gas production; biodiversity; taxonomy soft-bottom macrofauna;gradient analysis

Authors  Top | Dataset 
  • Terlizzi, A., more
  • Bevilacqua, S., more
  • Scuderi, D.
  • Fiorentino, D.
  • Guarnieri, G.
  • Giangrande, A., more
  • Licciano, M., more
  • Felline, S.
  • Fraschetti, S., more

Abstract
    The exploitation of fossil fuels in the Mediterranean Sea will likely lead to an increase in the number of offshore platforms, a recognized threat for marine biodiversity. To date, in this basin, few attempts have been made to assess the impact of offshore gas and oil platforms on the biodiversity of benthic assemblages. Here, we adopted a structured experimental design coupled with high taxonomic resolution to outline putative effects of gas platforms on soft-bottom macrofauna assemblages in the North Ionian Sea. The analysis was based on a total of 20,295 specimens of 405 taxa, almost entirely identified at species level. Multivariate and univariate analyses showed idiosyncratic patterns of assemblage change with increasing distance from the platforms. Potential reasons underlying such inconsistency are analyzed and the view that structured experimental monitoring is a crucial tool to quantify the extent and magnitude of potential threats and to provide sound baseline information on biodiversity patterns is supported.

Dataset
  • Molluscs from South Italy, more

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