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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cox, Terry | - |
dc.contributor.author | Laceby, J. Patrick | - |
dc.contributor.author | Roth, Till | - |
dc.date.accessioned | 2023-08-09T01:47:21Z | - |
dc.date.available | 2023-08-09T01:47:21Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007/s11368-023-03573-0 | - |
dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/8742 | - |
dc.description | CC-BY | vi |
dc.description.abstract | 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. | vi |
dc.language.iso | en | vi |
dc.publisher | Springer | vi |
dc.subject | CSSI | vi |
dc.subject | fatty acid | vi |
dc.title | Less is more? A novel method for identifying and evaluating non-informative tracers in sediment source mixing models | vi |
dc.type | Book | vi |
Appears in Collections | ||
OER - Khoa học môi trường |
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