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Generalized linear models to assess environmental drivers of paralytic shellfish toxin blooms (Southeast Tasmania, Australia)

Citation

Xie, H and Fischer, AM and Strutton, PG, Generalized linear models to assess environmental drivers of paralytic shellfish toxin blooms (Southeast Tasmania, Australia), Continental Shelf Research, 223 Article 104439. ISSN 0278-4343 (2021) [Refereed Article]

Copyright Statement

2021 Elsevier Ltd. All rights reserved.

DOI: doi:10.1016/j.csr.2021.104439

Abstract

Paralytic shellfish toxin (PST) events are often difficult to predict because synergistic processes, involving multiple temporal and spatial scales, are responsible for their development. In this study, we consider a suite of factors, from local to regional processes, driving paralytic shellfish toxin (PST) events associated with Alexandrium catenella on the east coast of Tasmania (Australia). PST concentrations in shellfish were compared against environmental variables, including daily wind speed and direction, satellite chlorophyll-a, sea surface temperature and river discharge. Relationships were tested using generalized linear models (GLMs). GLM coefficients confirm that high PST events were significantly favored by cooler temperatures and higher chlorophyll-a concentrations. PST were seasonal, occurring between August and November and showed a significant relationship with sustained coastal upwelling and wind transition events after one to three months of predominantly upwelling winds. Satellite imagery shows evidence of cross shelf transport moderating PST events. Overall, the results suggest that a combination of factors (currents, upwelling conditions and changes in sea surface temperature) work together to initiate and moderate PST events. The use of GLMs provides a useful tool for understanding synergistic relationships. These techniques are of value for developing reliable predictive models to forecast and manage the effects of harmful and costly PST events.

Item Details

Item Type:Refereed Article
Keywords:generalized linear models, environmental drivers, paralytic shellfish toxin blooms, Southeast Tasmania, Australia, sea surface temperature, chlorophyll-a, upwelling relaxation
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Physical oceanography
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Natural hazards
Objective Field:Climatological hazards (e.g. extreme temperatures, drought and wildfires)
UTAS Author:Xie, H (Mr Hongrui Xie)
UTAS Author:Fischer, AM (Dr Andy Fischer)
UTAS Author:Strutton, PG (Professor Peter Strutton)
ID Code:144361
Year Published:2021
Deposited By:Oceans and Cryosphere
Deposited On:2021-05-17
Last Modified:2021-06-01
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