Skip to Main Content (Press Enter)

Logo UNISS
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Expertise & Skills

Logo UNISS

|

UNIFIND

uniss.it
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Expertise & Skills
  1. Outputs

Spatial distribution and multiannual trends of potentially toxic microalgae in shellfish farms along the Sardinian coast (NW Mediterranean Sea)

Academic Article
Publication Date:
2015
Short description:
Spatial distribution and multiannual trends of potentially toxic microalgae in shellfish farms along the Sardinian coast (NW Mediterranean Sea) / Bazzoni, A.M., Caddeo, T., Pulina, S., Padedda, B.M., Satta, C.T., Sechi, N., Lugliè, A.G.L.. - In: ENVIRONMENTAL MONITORING AND ASSESSMENT. - ISSN 0167-6369. - 187:3(2015), pp. 86.1-86.18. [10.1007/s10661-014-4250-3]
abstract:
In this study, the geographical distribution and multiannual trends of potentially toxic harmful algal species were analysed at 18 mussel farms in Sardinia (Italy, North-Western Mediterranean Sea) using data derived from the Sardinian Regional Monitoring Programme (1988–2012). The results showed an increasing number of potentially toxic microalgae over the study period. Alexandrium catenella and A. minutum were the most harmful species detected. From 2002 to 2009, these species caused eight paralytic shellfish poisoning positive events which temporarily stopped commercial trade of mussels. The statistical analysis indicated that some taxa exhibited temporal increasing trends in their abundance (e.g. Pseudo-nitzschia spp.), significant decrements (e.g. Dinophysis sp.), or both increasing and decreasing significant trends (e.g. A. minutum) at different sites, indicating the necessity of further in depth studies, especially on certain taxa. Overall, the statistical elaboration of the long-term data provided useful signals for early detection of shellfish contamination by different potentially toxic harmful algal species (HAS) in defined sites. These signals can be used to develop best management practices.
Iris type:
1.1 Articolo in rivista
Keywords:
Harmful algal species ; Shellfish farms; Phytoplankton; Multiannual trends; Sardinia
List of contributors:
Bazzoni, Anna Maria; Caddeo, Tiziana; Pulina, Silvia; Padedda, Bachisio Mario; Satta, Cecilia Teodora; Sechi, Nicola; Lugliè, Antonella Gesuina Laura
Authors of the University:
LUGLIÈ Antonella Gesuina Laura
PADEDDA Bachisio Mario
PULINA Silvia
SECHI Nicola
Handle:
https://iris.uniss.it/handle/11388/46043
Published in:
ENVIRONMENTAL MONITORING AND ASSESSMENT
Journal
  • Overview

Overview

URL

http://link.springer.com/article/10.1007/s10661-014-4250-3
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.7.0.0