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dc.contributor.authorCox, Terry-
dc.contributor.authorLaceby, J. Patrick-
dc.contributor.authorRoth, Till-
dc.date.accessioned2023-08-09T01:47:21Z-
dc.date.available2023-08-09T01:47:21Z-
dc.date.issued2023-
dc.identifier.urihttps://link.springer.com/article/10.1007/s11368-023-03573-0-
dc.identifier.urihttps://dlib.phenikaa-uni.edu.vn/handle/PNK/8742-
dc.descriptionCC-BYvi
dc.description.abstractAccelerated soil erosion poses a global hazard to soil health. Understanding soil and sediment behaviour through sediment fingerprinting enables the monitoring and identification of areas with high sediment delivery. Land-use specific sediment source apportionment is increasingly determined using the Bayesian mixing model MixSIAR with compound-specific stable isotopes (CSSI). Here, we investigate CSSIs of fatty acid (FA) tracer selection with a novel method to identify and investigate the effect of non-informative tracers on model performance.vi
dc.language.isoenvi
dc.publisherSpringervi
dc.subjectCSSIvi
dc.subjectfatty acidvi
dc.titleLess is more? A novel method for identifying and evaluating non-informative tracers in sediment source mixing modelsvi
dc.typeBookvi
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