Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCunningham, L.-
dc.contributor.authorTibby, J.-
dc.contributor.authorForrester, S.-
dc.contributor.authorBarr, C.-
dc.contributor.authorSkjemstad, J.-
dc.identifier.citationWater: an open access journal, 2016; 8(11):479-1-479-17-
dc.description.abstractMany 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.-
dc.description.statementofresponsibilityLaura Cunningham, John Tibby, Sean Forrester, Cameron Barr and Jan Skjemstad-
dc.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).-
dc.subjectSalinity; lake sediments; southern Australia; palaeolimnology; infrared spectroscopy; diatoms; palaeoecology-
dc.titleMid-infrared spectroscopy as a potential tool for reconstructing lake salinity-
dc.typeJournal article-
dc.identifier.orcidTibby, J. [0000-0002-5897-2932]-
dc.identifier.orcidBarr, C. [0000-0003-0436-8702]-
Appears in Collections:Aurora harvest 8
Environment Institute publications

Files in This Item:
File Description SizeFormat 
hdl_107326.pdf2.4 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.