NDLI: A comparison of integrated and discrete depth sampling for monitoring toxic species of Dinophysis.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Escalera, Laura Pazos, Yolanda Doval, María Dolores Reguera, Beatriz
Spatial Coverage	Spain
Description	Country affiliation: Spain Author Affiliation: Escalera L ( Instituto Español de Oceanografía, Centro Oceanográfico de Vigo, Aptdo 1552, 36200 Vigo, Spain. laura.escalera@vi.ieo.es)
Abstract	Dinophysis acuminata and Dinophysis acuta produce lipophilic toxins that cause most shellfish harvesting closures in the Atlantic coastal waters of Europe. Dinophysis often exhibit patchy distributions and sampling with conventional methods may fail to detect them. A 6-month calibration study in 2006, plus an additional sampling in 2010 were carried out in Galicia to compare Dinophysis counts obtained from weekly high vertical resolution bottle samples with depth-integrated hose samples. Counts with these two methods were comparable at some depth-ranges, but hose maxima were over one order of magnitude lower under thin-layer scenarios. Estimates from hose samplers should be used with caution in programmes using a 'Dinophysis index', either to trigger shellfish sampling or to establish precautionary harvesting closures. In general, hose samplers provide reliable information on the occurrence of Dinophysis except under extreme site-specific hydrodynamic conditions. This study adds new information about the heterogeneous, specific vertical distributions of two Dinophysis spp.
File Format	HTM / HTML
ISSN	0025326X
Issue Number	1
Volume Number	64
e-ISSN	18793363
Journal	Marine Pollution Bulletin
Language	English
Publisher	Elsevier
Publisher Date	2012-01-01
Publisher Place	Great Britain (UK)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Biology Dinoflagellida Growth & Development Environmental Monitoring Methods Classification Isolation & Purification Instrumentation Marine Toxins Analysis Seasons Spain Water Pollution Statistics & Numerical Data Comparative Study Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Pollution Aquatic Science Oceanography

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