Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/107326
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Type: Journal article
Title: Mid-infrared spectroscopy as a potential tool for reconstructing lake salinity
Author: Cunningham, L.
Tibby, J.
Forrester, S.
Barr, C.
Skjemstad, J.
Citation: Water: an open access journal, 2016; 8(11):479-1-479-17
Publisher: MDPI
Issue Date: 2016
ISSN: 2073-4441
2073-4441
Statement of
Responsibility: 
Laura Cunningham, John Tibby, Sean Forrester, Cameron Barr and Jan Skjemstad
Abstract: Many aquatic ecosystems in Australia are impacted or threatened by salinisation; however, there is a paucity of records detailing the changes in salinity of individual water bodies that extend beyond a few decades. One way to overcome this issue is the use of inference models, which have typically been based on biological proxies. This pilot project investigates the potential for mid-infrared spectroscopy (MIRS) to provide an alternative method of reconstructing past salinity levels in Australian lakes. A small (19 lakes) calibration dataset was used to develop a MIRS-based lake water salinity inference model (measured vs. inferred salinity, based on leave-one-out cross-validation, R2 = 0.64). This model and a previously published diatom–salinity model were both used to infer salinity levels in Tower Hill Lake in south-eastern Australia, over the last 60 years. Comparisons between these reconstructions and measured salinity data from Tower Hill Lake indicate that salinities inferred by the MIRS model more closely resembled the measured values than those produced using the diatom model, predominantly in terms of the actual values inferred, but also with regard to the trends observed. This supports the hypothesis that MIRS can provide a valuable new tool for reconstructing lake salinity.
Keywords: Salinity; lake sediments; southern Australia; palaeolimnology; infrared spectroscopy; diatoms; palaeoecology
Rights: © 2016 by the authors; licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
DOI: 10.3390/w8110479
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Environment Institute publications

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