| Monitoring of the endangered Pinna nobilis Linné, 1758 in the Mar Grande of Taranto (Ionian Sea, Italy). | |
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MedLine Citation:
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PMID: 17171265 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The present study aimed to improve the knowledge of the bivalve Pinna nobilis L. population distribution in Mar Grande of Taranto (Ionian Sea). Although historical references report the local abundant presence of this endangered species, there is a lack of updated information about its exact distribution. For this purpose, a visual census of P. nobilis was performed by SCUBA diving in the Mar Grande basin from September 2004 to March 2005. Pinnids were found at depths from 3 to 16 m, with a density ranging from 0.1 to 0.7 ind ha(-1). The survey method employed in this study was non-destructive, relatively simple to perform and easily applicable for monitoring studies. Field data were stored in a database and linked with the study area by means of the GIS technology. The results of the present study indicate a tentative of recovery of P. nobilis population in Mar Grande in spite of all the difficulties of a degraded and heavily polluted environment and the damages of illegal fishing methods. |
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Authors:
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Gerardo Centoducati; Elvira Tarsitano; Antonella Bottalico; Marco Marvulli; Olimpia R Lai; Giuseppe Crescenzo |
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Publication Detail:
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Type: Journal Article Date: 2006-12-14 |
Journal Detail:
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Title: Environmental monitoring and assessment Volume: 131 ISSN: 0167-6369 ISO Abbreviation: Environ Monit Assess Publication Date: 2007 Aug |
Date Detail:
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Created Date: 2007-06-25 Completed Date: 2007-09-20 Revised Date: 2009-05-11 |
Medline Journal Info:
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Nlm Unique ID: 8508350 Medline TA: Environ Monit Assess Country: Netherlands |
Other Details:
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Languages: eng Pagination: 339-47 Citation Subset: IM |
Affiliation:
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Department of Animal Health and Welfare, Faculty of Veterinary Medicine, University of Bari, Str. Prov. Casamassima km 3, 70010, Valenzano, Bari, Italy. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Animals Bivalvia / growth & development* Environmental Monitoring / methods* Extinction, Biological* Geographic Information Systems* Italy Oceans and Seas |
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