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dc.contributor.authorAncin Murguzur, Francisco Javier
dc.contributor.authorBrown, Antony
dc.contributor.authorClarke, Charlotte
dc.contributor.authorSjøgren, Per Johan E
dc.contributor.authorSvendsen, John-Inge
dc.contributor.authorAlsos, Inger Greve
dc.date.accessioned2021-03-24T09:38:43Z
dc.date.available2021-03-24T09:38:43Z
dc.date.issued2020-05-19
dc.description.abstractLoss-on-ignition (LOI) is the most widely used measure of organic matter in lake sediments, a variable related to both climate and land-use change. The main drawback for conventional measurement methods is the processing time and hence high labor costs associated with high-resolution analyses. On the other hand, broad-based near infrared reflectance spectroscopy (NIRS) is a time and cost efficient method to measure organic carbon and organic matter content in lacustrine sediments once predictive methods are developed. NIRS-based predictive models are most robust when applied to sediments with properties that are already included in the calibration dataset. To test the potential for a broad applicability of NIRS models in samples foreign to the calibration model using linear corrections, sediment cores from six lakes (537 samples, LOI range 1.03–85%) were used as reference samples to develop a predictive model. The applicability of the model was assessed by sequentially removing one lake from the reference dataset, developing a new model and then validating it against the removed lake. Results indicated that NIRS has a high predictive power (RMSEP < 4.79) for LOI with the need for intercept and slope correction for new cores measured by NIRS. For studies involving many samples, NIRS is a cost and time-efficient method to estimate LOI on a range of lake sediments with only linear bias adjustments for different records.en_US
dc.identifier.citationAncin Murguzur, Brown AG, Clarke, Sjøgren, Svendsen, Alsos. How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?. Journal of Paleolimnology. 2020;64(2):59-69en_US
dc.identifier.cristinIDFRIDAID 1820434
dc.identifier.doi10.1007/s10933-020-00121-5
dc.identifier.issn0921-2728
dc.identifier.issn1573-0417
dc.identifier.urihttps://hdl.handle.net/10037/20725
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.journalJournal of Paleolimnology
dc.relation.projectIDNorges forskningsråd: 250963/F20en_US
dc.relation.projectIDNorges forskningsråd: 250963en_US
dc.relation.projectIDNorges forskningsråd: 255415en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/FRIMEDBIO/213692/Norway/Ancient DNA of NW Europe reveals responses to climate change//en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/KLIMAFORSK/255415/Norway/Climate History along the Arctic Seaboard of Eurasia/CHASE/en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/FRIMEDBIO/250963/Norway/ECOGEN - Ecosystem change and species persistence over time: a genome-based approach/ECOGEN/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400en_US
dc.titleHow well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?en_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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