eCite Digital Repository

A diatom dataset and diatom-salinity inference model for southeast Australian estuaries and coastal lakes


Saunders, KM, A diatom dataset and diatom-salinity inference model for southeast Australian estuaries and coastal lakes, Journal of Paleolimnology, 64, (4) pp. 525-542. ISSN 0921-2728 (2011) [Refereed Article]

Copyright Statement

Copyright 2010 Springer Science+Business Media B.V.

DOI: doi:10.1007/s10933-010-9456-y


To quantify the relationship between diatom species assemblages and the water chemistry of southeast Australian estuaries and coastal lakes, a new dataset of 81 modern diatom samples and water chemistry data was created. Three hundred and ninety-nine species from 53 genera were identified in 36 samples from 32 coastal water bodies in eastern Tasmania and 45 samples from 13 coastal water bodies in southern Victoria. Multivariate statistical analyses revealed that the sampling sites were primarily distributed along salinity and nutrient gradients, and that salinity, nitrate†+†nitrite, phosphate and turbidity explained independent portions of variance in the diatom data. Species salinity optima and tolerances were determined and a diatom-salinity inference model (WAinv r2†=†0.72, r2jack†=†0.58, RMSEP†=†0.09 log ppt) was developed. This new information on diatom speciesí salinity preferences provides a useful tool for quantitatively reconstructing salinity changes over time from diatom microfossils preserved in the sediments of a range of estuaries and coastal lakes in southeast Australia. This is valuable for studies investigating long-term human impacts and climate change in the region.

Item Details

Item Type:Refereed Article
Keywords:diatoms, multivariate analyses, transfer function, Australia, water qualiy, coast
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Marine and estuarine ecology (incl. marine ichthyology)
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Assessment and management of terrestrial ecosystems
UTAS Author:Saunders, KM (Dr Krystyna Saunders)
ID Code:118253
Year Published:2011
Web of Science® Times Cited:29
Deposited By:Directorate
Deposited On:2017-07-07
Last Modified:2017-11-06

Repository Staff Only: item control page