Parametric functional analysis of variance for fish biodiversity

Authors

  • Tonio Di Battista Department of Quantitative-Economic and Philosophical-Educational Science, University of Chieti-Pescara, Italy
  • Francesca Fortuna Department of Quantitative-Economic and Philosophical-Educational Science, University of Chieti-Pescara, Italy
  • Fabrizio Maturo Department of Quantitative-Economic and Philosophical-Educational Science, University of Chieti-Pescara, Italy

Abstract

The conservation and restoration of biodiversity in the marine environment is a crucial aspect of fishing and related activities. Human activities cause changes in fish population and deep transformation in the type and quality of the water. Fishing, restocking and pollution often bring to reduction and distribution changes of  indigenous fish species to the benefit of the diffusion of exotic species. In this context protection and management of water environments become a primary objective. Therefore it is necessary to implement initiatives for protecting and restoring the quality and integrity of native species. Any decision-making process must be based on a careful analysis of the collected data. In this paper we propose a parametric functional approach to study the biodiversity in marine environment.

Author Biographies

Tonio Di Battista, Department of Quantitative-Economic and Philosophical-Educational Science, University of Chieti-Pescara, Italy

Department of Quantitative-Economic and Philosophical-Educational Science, University of Chieti-Pescara, Italy

Francesca Fortuna, Department of Quantitative-Economic and Philosophical-Educational Science, University of Chieti-Pescara, Italy

Department of Quantitative-Economic and Philosophical-Educational Science, University of Chieti-Pescara, Italy

Fabrizio Maturo, Department of Quantitative-Economic and Philosophical-Educational Science, University of Chieti-Pescara, Italy

Department of Quantitative-Economic and Philosophical-Educational Science, University of Chieti-Pescara, Italy

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Published

2014-08-04

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Section

Environmental Modeling, Risk Assessment and Decision Making (EMR)