Module 4: Isotopic Offsets & Source Corrections
11 April 2026
One-Day Training Programme · Module 4
ReSources needs the isotope values of individual macronutrient fractions of each food source:
But what is measured in the lab is collagen from modern or archaeological reference animals — which reflects a mixture of all those fractions.
The question this module answers
How do we work backwards from a measured bulk or collagen value to the separate protein and energy (lipid/carbohydrate) component values that ReSources requires as inputs?
By the end of this module you should be able to:
When we measure bone collagen δ¹³C from a human, we obtain:
\[\delta^{13}C_{\text{collagen, human}}\] This value reflects:
ReSources needs to know:
\[\delta^{13}C_{\text{muscle (protein fraction)}}\] \[\delta^{13}C_{\text{lipids (energy fraction)}}\]
These are not the same as the collagen measurement — we need to apply correction offsets.
The offsets are empirically derived from controlled feeding experiments and direct tissue measurements (Fernandes et al. 2012; updated by more recent studies).
Based on Fernandes et al. (2012) and corrected after more recent studies:
Carbon offsets:
\[\Delta^{13}C_{\text{muscle–collagen}} = -2 \text{ ‰}\]
\[\Delta^{13}C_{\text{lipids–collagen}} = -8 \text{ ‰}\]
Nitrogen offset:
\[\Delta^{15}N_{\text{muscle–collagen}} = 0 \text{ ‰}\]
In plain terms:
Suppose we measure δ¹³C = −19.5 ‰ and δ¹⁵N = +6.8 ‰ in sheep collagen.
Step 1 — Protein (muscle) fraction:
\[\delta^{13}C_{\text{muscle}} = \delta^{13}C_{\text{collagen}} + \Delta^{13}C_{\text{muscle–coll}} = -19.5 + (-2) = -21.5 \text{ ‰}\]
\[\delta^{15}N_{\text{muscle}} = \delta^{15}N_{\text{collagen}} + \Delta^{15}N_{\text{muscle–coll}} = +3.8 + 0 = +6.8 \text{ ‰}\]
Step 2 — Lipid/energy fraction:
\[\delta^{13}C_{\text{lipids}} = \delta^{13}C_{\text{collagen}} + \Delta^{13}C_{\text{lipids–coll}} = -19.5 + (-8) = -27.5 \text{ ‰}\]
These corrected values: −21.5 ‰ / +3.8 ‰ for protein and −27.5 ‰ for energy — become the terrestrial meat end-members in ReSources.
Collagen-to-tissue offsets are different for marine/freshwater fish, reflecting their distinct biochemistry:
Carbon offsets:
\[\Delta^{13}C_{\text{muscle–collagen}} = -1 \text{ ‰}\]
\[\Delta^{13}C_{\text{lipids–collagen}} = -7 \text{ ‰}\]
Nitrogen offset:
\[\Delta^{15}N_{\text{muscle–collagen}} = +1.5 \text{ ‰}\]
Key differences from terrestrial:
The δ¹⁵N difference reflects different amino acid routing in fish collagen biosynthesis.
Suppose we measure δ¹³C = −13.2 ‰ and δ¹⁵N = +15.5 ‰ in cod collagen.
Protein (muscle) fraction:
\[\delta^{13}C_{\text{muscle}} = -13.2 + (-1) = -14.2 \text{ ‰}\]
\[\delta^{15}N_{\text{muscle}} = +15.5 + (+1.5) = +17.0 \text{ ‰}\]
Lipid/energy fraction:
\[\delta^{13}C_{\text{lipids}} = -13.2 + (-7) = -20.2 \text{ ‰}\]
Note that marine fish lipids fall in a very similar δ¹³C range to terrestrial meat protein (~−20 ‰). This near-overlap is one reason why separating freshwater and marine sources from terrestrial sources can be difficult on carbon alone.
For plant sources, we typically measure bulk stable isotope values from charred seeds or grain — not a tissue fraction. We must split the bulk value into its protein and carbohydrate (energy) fractions.
Offsets applied to C₃ cereal bulk δ¹³C:
\[\Delta^{13}C_{\text{protein–bulk}} = -2 \text{ ‰}\]
\[\Delta^{13}C_{\text{carb–bulk}} = +0.5 \text{ ‰}\]
Lipid contribution: negligible — lipid content of cereals is very low (~2–3% dry weight), so no lipid offset is applied.
Why different sign?
In cereals, starch (carbohydrates) tends to be slightly enriched in ¹³C relative to the bulk, while protein is depleted — the opposite pattern to animal tissues where lipids are the most depleted fraction.
Suppose we measure bulk δ¹³C = −25.0 ‰ for archaeological an wheat grain.
Protein fraction:
\[\delta^{13}C_{\text{protein}} = -25.0 + (-2) = -27.0 \text{ ‰}\]
Carbohydrate (energy) fraction:
\[\delta^{13}C_{\text{carb}} = -25.0 + (+0.5) = -24.5 \text{ ‰}\]
The two fractions are only 2.5 ‰ apart, but they contribute to collagen carbon via very different pathways (protein → amino acids; carbohydrates → de novo synthesis), so the distinction still matters for ReSources.
Charring can alter the isotopic composition of organic material through the preferential loss of isotopically light C and N, leading to systematic enrichment in both ¹³C and ¹⁵N relative to uncharred tissue. This needs to be accounted for.
| Source type | Measured value | Protein (δ¹³C) | Energy (δ¹³C) | Protein (δ¹⁵N) |
|---|---|---|---|---|
| Terrestrial animals | Collagen | coll + (−2 ‰) | coll + (−8 ‰) | coll + (0 ‰) |
| Marine/freshwater fish | Collagen | coll + (−1 ‰) | coll + (−7 ‰) | coll + (+1.5 ‰) |
| C₃ cereals | Bulk grain | bulk + (−2 ‰) | bulk + (+0.5 ‰) | measured directly |
Offsets follow Fernandes et al. (2012) as updated by more recent empirical studies. Lipid contribution from cereals is treated as negligible.
Once we have source macronutrient fractions, ReSources still needs to apply trophic enrichment factors — the isotopic shift between what a human eats and what is recorded in its bone collagen.
Following Fernandes et al. (2012):
Nitrogen TEF:
\[\Delta^{15}N_{\text{collagen–diet}} = +5.5 \pm 0.5 \text{ ‰}\]
Carbon TEF:
\[\Delta^{13}C_{\text{collagen–diet}} = +4.8 \pm 0.5 \text{ ‰}\]
The carbon TEF contains a critical piece of information — the routing split:
\[\lambda = 0.74 \pm 0.04\]
This is the routing parameter introduced in Module 2:
74% of collagen carbon comes from dietary protein, and 26% from lipids and carbohydrates.
The ±4% uncertainty on λ propagates directly into uncertainty on all dietary proportion estimates — which is why ReSources treats λ as a probability distribution, not a fixed value.
ReSources weights the contribution of each food source not just by its isotope value, but also by its macronutrient composition — because not all protein-rich foods contribute equally to collagen protein synthesis.
The model requires for each food source:
These are sourced from the USDA National Nutrient Database for Standard Reference
(https://fdc.nal.usda.gov/)
Obtaining the values:
Expressing as dry weight % is important because isotope values of reference materials are also measured on dried samples.
Example — approximate dry weight compositions:
| Food source | % Protein | % Lipid | % Carb |
|---|---|---|---|
| Beef muscle | 85 | 12 | 0 |
| Atlantic cod | 90 | 6 | 0 |
| Herring | 60 | 35 | 0 |
| Wheat grain | 13 | 2 | 82 |
| Peas (dried) | 25 | 2 | 67 |
Approximate values for illustration
For each animal source (terrestrial/marine/frehwater):
For each plant source (C₃ cereals):
TEFs applied inside ReSources (not to source data):
| Parameter | Value | Applies to |
|---|---|---|
| Δ¹³Cmuscle–collagen (terrestrial) | −2 ‰ | Protein fraction of terrestrial animals |
| Δ¹³Clipids–collagen (terrestrial) | −8 ‰ | Energy fraction of terrestrial animals |
| Δ¹⁵Nmuscle–collagen (terrestrial) | 0 ‰ | N fraction of terrestrial animals |
| Δ¹³Cmuscle–collagen (fish) | −1 ‰ | Protein fraction of fish |
| Δ¹³Clipids–collagen ( fish) | −7 ‰ | Energy fraction of fish |
| Δ¹⁵Nmuscle–collagen ( fish) | +1.5 ‰ | N fraction of fish |
| Δ¹³Cprotein–bulk (C₃ cereals) | −2 ‰ | Protein fraction of cereals |
| Δ¹³Ccarb–bulk (C₃ cereals) | +0.5 ‰ | Energy fraction of cereals |
| Δ¹⁵Ncollagen–diet (TEF) | +5.5 ± 0.5 ‰ | Applied inside ReSources; 100% protein |
| Δ¹³Ccollagen–diet (TEF) | +4.8 ± 0.5 ‰ | Applied inside ReSources; λ = 74 ± 4% |
| Routing parameter λ | 0.74 ± 0.04 | Protein fraction of collagen C |
Primary source: Fernandes et al. (2012) as updated by more recent empirical studies. Uncertainties on source values should be calculated as SE ⊕ offset uncertainty (quadrature sum).
❌ Using raw collagen values as source inputs
Collagen δ¹³C already incorporates TEF and routing — entering it directly double-counts the enrichment.
❌ Ignoring δ¹⁵N muscle–collagen offset for marine fish
The +1.5 ‰ offset is easy to overlook but can meaningfully shift nitrogen-based trophic estimates.
❌ Using SE without adding offset uncertainty
Produces artificially narrow source distributions and overconfident dietary posteriors.
❌ Applying lipid correction to cereals
Cereal lipid content is negligible — applying a lipid offset would introduce spurious error.
❌ Using fresh weight macronutrient values
Isotope measurements are on dry samples; macronutrient concentrations must also be on a dry weight basis.
❌ Using a single λ value without uncertainty
λ = 0.74 ± 0.04 — the ±0.04 matters and must be propagated as a distribution in ReSources.
Primary source for offsets and TEFs:
Fernandes, R. A simple(R) model to predict the source of dietary carbon in individual consumers. Archaeometry 58, 500–512 (2016).
Fernandes, R., Millard, A.R., Brabec, M., Nadeau, M.-J. & Grootes, P. (2014) Food reconstruction using isotopic transferred signals (FRUITS): a Bayesian model for diet reconstruction. PLoS ONE, 9, e87436.
Fernandes R, Nadeau MJ, Grootes PM. 2012. Macronutrient- based-model for dietary carbon routing in bone collagen and bioapatite. Archaeol Anthropol Sci 4:291–301.
Soncin, S. et al. 2021. High-resolution dietary reconstruction of victims of the 79 CE Vesuvius eruption at Herculaneum by compound-specific isotope analysis. Sci. Adv. 7,eabg5791.DOI:10.1126/sciadv.abg5791
Webb, E. C., Lewis, J., Shain, A., Kastrisianaki-Guyton, E., Honch, N. V., Stewart, A., … Evershed, R. P. (2017). The influence of varying proportions of terrestrial and marine dietary protein on the stable carbon-isotope compositions of pig tissues from a controlled feeding experiment. STAR: Science & Technology of Archaeological Research, 3(1), 28–44.
Continue to Module 5 — Running ReSources in R: Three progressive examples for dietary reconstruction
Archaeological Isotope Laboratory · Chronologies
Module 4: Understanding Mixing Models