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Updated: Sep 10, 2025

Sampling and Pretreatment of Tooth Enamel Carbonate for Stable Carbon and Oxygen Isotope Analysis

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Published on: August 15, 2018

From static to dynamic: Embracing dynamics in isotopic diet estimation.

Emilie Cathelin¹, Sebastien Lefebvre¹, Carolina Giraldo²

¹Station marine de Wimereux, UMR 8187 - LOG - Laboratoire d'Océanologie et de Géosciences, Université de Lille, CNRS, Université Littoral Côte d'Opale, IRD, Lille, France.

|August 26, 2025

Summary

Temporal dynamics introduce bias in ecological diet models. This study develops a dynamic mixing model to accurately estimate diets, accounting for isotopic turnover and sampling frequency, improving upon static approaches.

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Area of Science:

Ecology
Ecological modeling
Stable isotope analysis

Background:

Isotopic mixing models are crucial for diet quantification in ecology.
Static models assume stable isotopic systems, ignoring temporal dynamics.
Temporal variations can introduce significant bias into diet estimates.

Purpose of the Study:

To characterize bias in isotopic mixing models due to temporal dynamics.
To develop a dynamic mixing model that accounts for these temporal effects.
To evaluate strategies for mitigating bias in static models.

Main Methods:

In silico experiments and computational modeling.
Analysis of isotopic turnover rates and sampling frequency.
Development and validation of a dynamic mixing model.

Main Results:

Bias is strongly influenced by the interaction between isotopic turnover rate and sampling frequency.
Consumer isotopic signature prior to dietary shifts and source signature fluctuations amplify bias.
Previously recommended bias mitigation strategies were evaluated and refined.

Conclusions:

Temporal dynamics significantly impact isotopic mixing model accuracy.
The developed dynamic mixing model offers a robust and accurate approach for diet estimation.
Guidelines for applying bias mitigation strategies in static models are provided.