Fingerprinting using compound-specific δ13C of n-alkanes reveals the temporary role of paddy fields as a secondary source for watershed sediment loss
Sediment fingerprinting generates reliable sediment provenance information which supports policy or practical strategies for catchment sediment management. But the approach remains challenging in areas with complex landscape configuration. This investigation evaluated the seasonality of biomarker signatures and their variability among particle size fractions, and accordingly apportioned target time-integrated suspended sediment to land-use based sources in an intensive farming watershed with mosaic land use patch configurations and crop-specific farming practices. Source materials (i.e., topsoil) from dry croplands, paddy fields and citrus orchards were sampled, and time-integrated suspended sediment was collected at the watershed outlet. The absolute concentrations and compound-specific δ13C of long-chain saturated n-alkanes (C23-C33) were determined for two absolute particle size fractions (i.e., <25 μm and 25-63 μm). The δ13C of monomeric n-alkanes displayed no significant variabilities between the particle size fractions nor across the whole sampling period. The MixSIAR Bayesian model was employed to quantify sediment source contributions. Due to human activities, paddy fields have become an important sediment source, but dry farmland remains the largest contributor. Based on sediment source information for the study watershed, a range of measures such as soil virginization, returning straw to fields, and pasture cultures in orchards are recommended.
| Item Type | Article |
|---|---|
| Open Access | Gold |
| Additional information | This work was supported by the National Key Research and Development Program of China (2023YFF1305203), the National Natural Science Foundation of China (42477340), the Royal Society Newton International Fellowship (NF161415) awarded to Qiang Tang and supervised by Adrian Collins, the Newton International Fellowships Alumni (AL\231030), and the Special Fund for Youth Team of Southwest University (SWU-XDJH-202306). The contri�bution by Adrian Collins was also funded by the UK Research and Innovation–Biotechnology and Biological Sciences Research Council (UKRI-BBSRC) via grant award BB/X010961/1 (Resilient Farming Futures) – specifically work package 2 - BBS/E/RH/230004B; Detecting agroecosystem ‘resilience’ using novel data science methods |
| Keywords | Source apportionment, Sediment source fingerprinting, Biomarkers, Compound-specific stable isotopes, Heterogenous landscape, n-alkanes, Bayesian mixing model |
| Project | Resilient Farming Futures, Resilient Farming Futures (WP2): Detecting agroecosystem ‘resilience’ using novel data science methods |
| Date Deposited | 05 Dec 2025 10:43 |
| Last Modified | 19 Dec 2025 14:57 |


