Spatial distribution modelling of the endangered bivalve Pinna nobilis in a Marine Protected Area.

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dc.contributor.author	Vázquez-Luis, M.	en
dc.contributor.author	March, D.	en
dc.contributor.author	Alvarez, E.	en
dc.contributor.author	Alvarez-Berastegui, D.	en
dc.contributor.author	Deudero, S.	en
dc.date.accessioned	2016-04-12T09:34:23Z
dc.date.issued	2016-04-12
dc.identifier.uri	http://hdl.handle.net/123456789/936
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Endangered	en
dc.subject	Bivalve	en
dc.subject	Pinna nobilis	en
dc.subject	Marine Protected Area	en
dc.title	Spatial distribution modelling of the endangered bivalve Pinna nobilis in a Marine Protected Area.	en
heal.type	journalArticle
heal.keywordURI	N/A-Endangered
heal.keywordURI	N/A-Bivalve
heal.keywordURI	N/A-Pinna nobilis
heal.keywordURI	N/A-Marine Protected Area
heal.identifier.secondary	DOI: 10.12681/mms.796
heal.identifier.secondary	REP(6041
heal.dateAvailable	2016-04-12T09:39:23Z
heal.language	en
heal.access	free
heal.recordProvider	Instituto Español de Oceanografía (IEO). Centro Oceanográfico de Baleares. Spain.	es
heal.recordProvider	Instituto Mediterráneo de Estudios Avanzados, IMEDEA (UIB-CSIC), Islas Baleares, Spain.	es
heal.recordProvider	Govern de les Illes Balears. Direcció General de Medi Rural i Marí. Palma de Mallorca, Spain.	es
heal.recordProvider	SOCIB- Balearic Islands Coastal Observing and Forecasting System Parc Bit, Palma de Mallorca, Spain.	es
heal.publicationDate	2014
heal.bibliographicCitation	Vázquez-Luis M., March D., Alvarez E., Alvarez-Berastegui D., Deudero S. . (2014). Spatial distribution modelling of the endangered bivalve Pinna nobilis in a Marine Protected Area. Mediterranean Marine Science. Vol. 15(3), 626-634.	en
heal.abstract	The spatial distribution of Pinna nobilis densities have been analysed through a geostatistical approach in the MPA of Cabrera National Park, Balearic Islands (Spain), Western Mediterranean Sea. Regression kriging was used to model the effect of environmental variables on the density of living individuals of P. nobilis and generate a predictive map of its distribution within the MPA. The environmental variables considered for the model were: depth; slope; habitat type and heterogeneity; wave exposure; and MPA zoning. A total of 378 transects were randomly distributed with a total of 149,000 m2 surveyed at a depth range from 4.2 to 46 m. The recorded P. nobilis densities are among the highest in the Mediterranean Sea. With respect to the prediction model, results indicate that benthic habitats play a key role in the spatial distribution of P. nobilis, with higher densities in seagrass meadows of Posidonia oceanica. The fan mussel population density peaked at 9 m depth, decreasing with depth. Also, decreasing densities are expected with increasing exposure to waves. The predicted map shows some hotspots of density different in size and distributed along the MPA, and provides valuable information for the spatial conservation management of this species.	en
heal.publisher	H.C.M.R. (Hellenic Center for Marine Research).	en
heal.journalName	Mediterranean Marine Science.	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true
heal.coverage.spatial	Cabrera National Park, Balearic Islands (Spain).	el
heal.coverage.spatial	Western Mediterranean Sea.	el