Using sediment geochemical records to infer past lake water total phosphorus concentrations at a site with high internal P loading, Lake Søbygaard, Denmark

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1007/s10933-022-00276-3. This is version 1 of this Preprint.

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Authors

John Francis Boyle, Maddy Moyle, Martin Søndergaard, Erik Jeppesen

Abstract

In lakes where phosphorus (P) supply is dominated by external loads, long-term mean lake water TP concentrations can be successfully reconstructed from sediment P profiles and dating using the SI-TP (Sediment Inferred lake water Total Phosphorus) mass balance model. However, it has not yet been shown that the model is applicable at lakes with high internal P loading, where sediment diagenesis releases P to the water column and degrades the sediment P record. Here we apply the SI-TP model to Lake Søbygaard in Denmark, a shallow lake with exceptionally high internal P loading for several decades since the external loading was reduced by 80-90% in 1982. Our aim was to test the impact of this sediment degradation on P record integrity. Using six published sediment P records collected over the period 1985 to 2004, we applied the model without site specific calibration. Degradation of the sediment P record by diagenesis was observed, and occurred at a rate consistent with theoretical models, offering a potential approach to correct for degradation Even neglecting degradation, the resulting sediment inferred lake water TP (SI-TP) record was found to be similar in magnitude and temporal trend to the corresponding monitored TP values. From this test of SI-TP model performance at Lake Søbygaard we conclude that the model has the potential to be more widely applied at lakes with high internal P loading.

DOI

https://doi.org/10.31223/X56356

Subjects

Physical Sciences and Mathematics

Keywords

SI-TP, Lake sediment geochemistry, Internal P loading, Retention coefficient, phosphorus

Dates

Published: 2022-06-23 21:30

Last Updated: 2022-06-24 04:30

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
All data are previously published and avaialble