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Sustainable use of marine resources through offshore wind and mussel farm co-location

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  • Di Tullio, Giacomo R.
  • Mariani, Patrizio
  • Benassai, Guido
  • Di Luccio, Diana
  • Grieco, Luisa

Abstract

Marine Spatial Planning (MSP) can offer significant benefits in terms of economic conservation strategies, optimizing spatial planning and minimizing the impact on the environment. In this paper, we focused on the application of multi-criteria evaluation (MCE) technique for co-locating offshore wind farms and open-water mussel cultivation. An index of co-location sustainability (SI) was developed based on the application of MCE technique constructed with physical and biological parameters on the basis of remote-sensing data. The relevant physical factors considered were wind velocity, depth range, concerning the site location for energy production, and sea surface temperature anomaly. The biological variables used were Chlorofill-a (as a measurement of the productivity) and Particle Organic Carbon(POC) concentration, in order to assess their influence on the probable benefits and complete the requirements of this management framework. This SI can be easily implemented to do a first order selection of the most promising areas to be more specifically studied in a second order approach based on local field data.

Suggested Citation

  • Di Tullio, Giacomo R. & Mariani, Patrizio & Benassai, Guido & Di Luccio, Diana & Grieco, Luisa, 2018. "Sustainable use of marine resources through offshore wind and mussel farm co-location," Ecological Modelling, Elsevier, vol. 367(C), pages 34-41.
    • Handle: RePEc:eee:ecomod:v:367:y:2018:i:c:p:34-41
    DOI: 10.1016/j.ecolmodel.2017.10.012
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    1. Gimpel, Antje & Stelzenmüller, Vanessa & Grote, Britta & Buck, Bela H. & Floeter, Jens & Núñez-Riboni, Ismael & Pogoda, Bernadette & Temming, Axel, 2015. "A GIS modelling framework to evaluate marine spatial planning scenarios: Co-location of offshore wind farms and aquaculture in the German EEZ," Marine Policy, Elsevier, vol. 55(C), pages 102-115.
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    1. Patrizio Mariani & Guido Benassai & Luisa Grieco & Claus Stenberg & Josianne G. Støttrup, 2018. "Monitoring and Modelling Bio-Physical Parameters for Hypoxia Hazard in a Coastal Sand Pit," Sustainability, MDPI, vol. 10(3), pages 1-15, March.

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