29
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Assessment of harmful algal species using different approaches: the case study of the Sardinian coasts

, , , , , , , , , & show all
Pages 60-78 | Received 04 Dec 2013, Accepted 27 Feb 2014, Published online: 04 Apr 2014
 

Abstract

The presence and distribution of harmful algal species were investigated along the coasts of Sardinia in the summer of 2012. Fourteen potentially noxious taxa were identified at 74 beaches. The majority of the recovered taxa were potentially toxic and/or high biomass producers. Alexandrium taylorii, Gymnodinium instriatum, and Ostreopsis cf. ovata were the most frequent and abundant taxa, although Barrufeta bravensis reached the highest density (4.4 × 106 cells L−1). Barrufeta bravensis, A. taylorii, and G. instriatum were responsible for intense water discoloration at two of the beaches sampled. Polymerase chain reaction (PCR) analyses supported the identification of several taxa and decisively identified B. bravensis. PCR assays increased the information available on the species distributions. The locations studied were heterogeneous in their prevailing environmental conditions and their morphodynamic profiles. Statistical analyses indicated that the distributions of harmful algal species correlated with gravel and medium-fine sand substrata. These data provide substantial knowledge on the distributions of harmful algal species on beaches, which have been poorly studied on a global scale. The apparent relationship between noxious species and grain size suggests that vegetative cells may be recruited from cyst beds in beach sediments.

Acknowledgements

The authors thank Dr. B. Manca for all the laboratory analyses and the Sassari University Aquatic Ecology group for their support. The authors also thank the two anonymous reviewers who helped to improve the manuscript.

Additional information

Funding

The Autonomous Region of Sardinia (RAS) provided the financial support for the project under regional law no. 7/2007 (research project code: CRP-26691). The same project financed the work of C.T. Satta.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.