Modelling bloom formation of the toxic dinoflagellates Dinophysis acuminata and Dinophysis caudata in a highly modified estuary, south eastern Australia

Ajani, P; Larsson, ME; Rubio, A; Bush, S; Brett, S; Farrell, H

Modelling bloom formation of the toxic dinoflagellates Dinophysis acuminata and Dinophysis caudata in a highly modified estuary, south eastern Australia

Ajani, P

Larsson, ME

Rubio, A Bush, S

Brett, S Farrell, H

Permalink

Publication Type:: Journal Article
Citation:: Estuarine, Coastal and Shelf Science, 2016, 183 pp. 95 - 106
Issue Date:: 2016-12-20

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted Manuscript VersionAdobe PDF (7.65 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Ajani, P https://orcid.org/0000-0001-5364-9936	en_US
dc.contributor.author	Larsson, ME https://orcid.org/0000-0003-4310-4582	en_US
dc.contributor.author	Rubio, A	en_US
dc.contributor.author	Bush, S https://orcid.org/0000-0003-2819-5412	en_US
dc.contributor.author	Brett, S	en_US
dc.contributor.author	Farrell, H	en_US
dc.date.available	2020-05-25T19:17:31Z
dc.date.issued	2016-12-20	en_US
dc.identifier.citation	Estuarine, Coastal and Shelf Science, 2016, 183 pp. 95 - 106	en_US
dc.identifier.issn	0272-7714	en_US
dc.identifier.uri	http://hdl.handle.net/10453/59203
dc.description.abstract	© 2016 Elsevier Ltd Dinoflagellates belonging to the toxigenic genus Dinophysis are increasing in abundance in the Hawkesbury River, south-eastern Australia. This study investigates a twelve year time series of abundance and physico-chemical data to model these blooms. Four species were reported over the sampling campaign - Dinophysis acuminata, Dinophysis caudata, Dinophysis fortii and Dinophysis tripos-with D. acuminata and D. caudata being most abundant. Highest abundance of D. acuminata occurred in the austral spring (max. abundance 4500 cells l−1), whilst highest D. caudata occurred in the summer to autumn (max. 12,000 cells l−1). Generalised additive models revealed abundance of D. acuminata was significantly linked to season, thermal stratification and nutrients, whilst D. caudata was associated with nutrients, salinity and dissolved oxygen. The models’ predictive capability was up to 60% for D. acuminata and 53% for D. caudata. Altering sampling strategies during blooms accompanied with in situ high resolution monitoring will further improve Dinophysis bloom prediction capability.	en_US
dc.relation.ispartof	Estuarine, Coastal and Shelf Science	en_US
dc.relation.isbasedon	10.1016/j.ecss.2016.10.020	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Marine Biology & Hydrobiology	en_US
dc.title	Modelling bloom formation of the toxic dinoflagellates Dinophysis acuminata and Dinophysis caudata in a highly modified estuary, south eastern Australia	en_US
dc.type	Journal Article
utslib.citation.volume	183	en_US
utslib.for	0607 Plant Biology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - C3 - Climate Change Cluster
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	183	en_US

Abstract:

© 2016 Elsevier Ltd Dinoflagellates belonging to the toxigenic genus Dinophysis are increasing in abundance in the Hawkesbury River, south-eastern Australia. This study investigates a twelve year time series of abundance and physico-chemical data to model these blooms. Four species were reported over the sampling campaign - Dinophysis acuminata, Dinophysis caudata, Dinophysis fortii and Dinophysis tripos-with D. acuminata and D. caudata being most abundant. Highest abundance of D. acuminata occurred in the austral spring (max. abundance 4500 cells l−1), whilst highest D. caudata occurred in the summer to autumn (max. 12,000 cells l−1). Generalised additive models revealed abundance of D. acuminata was significantly linked to season, thermal stratification and nutrients, whilst D. caudata was associated with nutrients, salinity and dissolved oxygen. The models’ predictive capability was up to 60% for D. acuminata and 53% for D. caudata. Altering sampling strategies during blooms accompanied with in situ high resolution monitoring will further improve Dinophysis bloom prediction capability.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/58794