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Less is more? A novel method for identifying and evaluating non-informative tracers in sediment source mixing models

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Bibliographic Details
Main Authors: Cox, Terry, Laceby, J. Patrick, Roth, Till
Format: Book
Language:English
Published: Springer 2023
Subjects:
CSSI
fatty acid
Online Access:https://link.springer.com/article/10.1007/s11368-023-03573-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8742
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spelling oai:localhost:PNK-87422023-08-09T01:47:21Z Less is more? A novel method for identifying and evaluating non-informative tracers in sediment source mixing models Cox, Terry Laceby, J. Patrick Roth, Till CSSI fatty acid CC-BY Accelerated 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. 2023-08-09T01:47:21Z 2023-08-09T01:47:21Z 2023 Book https://link.springer.com/article/10.1007/s11368-023-03573-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8742 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic CSSI
fatty acid
spellingShingle CSSI
fatty acid
Cox, Terry
Laceby, J. Patrick
Roth, Till
Less is more? A novel method for identifying and evaluating non-informative tracers in sediment source mixing models
description CC-BY
format Book
author Cox, Terry
Laceby, J. Patrick
Roth, Till
author_facet Cox, Terry
Laceby, J. Patrick
Roth, Till
author_sort Cox, Terry
title Less is more? A novel method for identifying and evaluating non-informative tracers in sediment source mixing models
title_short Less is more? A novel method for identifying and evaluating non-informative tracers in sediment source mixing models
title_full Less is more? A novel method for identifying and evaluating non-informative tracers in sediment source mixing models
title_fullStr Less is more? A novel method for identifying and evaluating non-informative tracers in sediment source mixing models
title_full_unstemmed Less is more? A novel method for identifying and evaluating non-informative tracers in sediment source mixing models
title_sort less is more? a novel method for identifying and evaluating non-informative tracers in sediment source mixing models
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11368-023-03573-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8742
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score 8.881002

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