This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
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Abstract
Long-term datasets are invaluable resources for understanding broad-level temporal patterns in ecosystems. For over two decades, UC Davis and Lake County Water Resources Department have collaborated on a long-term monitoring project of Clear Lake sediment nutrient concentrations, in an effort to better understand nutrient cycling in Clear Lake. When the need for a new total phosphorus digestion method arose, it was paramount to develop a method that was both more efficient and safer than the previous method while maintaining continuity with the long-term dataset through the calculation of a conversion factor. This white paper details the development and validation of a new total phosphorous digestion method for sediment samples, as well as the calculation of a conversion factor. Our major findings are:
1. The historic and new methods were highly correlated but significantly different.
2. A regression analysis model provided a robust method to convert data between both methods.
3. Both methods produce consistent and acceptable recoveries using a standard reference material.
DOI
https://doi.org/10.31223/X5F40T
Subjects
Biogeochemistry, Environmental Chemistry, Inorganic Chemistry, Soil Science
Keywords
sediment digestion, sediment nutrient analysis, Clear Lake, long term monitoring, dataset continuity, total phosphorus analysis, nutrient cycling, conversion factor calculation, method development
Dates
Published: 2024-09-26 17:45
Last Updated: 2024-09-26 23:45
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