A diatom dataset and diatom-salinity inference model for southeast Australian estuaries and coastal lakes |
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| Authors: | Email author" target="_blank">Krystyna?M?SaundersEmail author |
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| Institution: | (1) Institute of Geography and Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland;(2) Institute of Antarctic and Marine Studies, University of TAS, Hobart, Tasmania, 7001, Australia |
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| Abstract: | 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 r
2 = 0.72, r
2jack = 0.58, RMSEP = 0.09 log ppt) was developed. This new information on diatom species’ 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. |
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