δ¹³C (delta 13C) is a measure of the relative abundance of stable carbon isotopes (¹³C/¹²C) in a sample compared to a standard (VPDB). It reflects isotopic fractionation during biological, chemical, and physical processes.
Because carbon cycles through the atmosphere, biosphere, hydrosphere, and lithosphere, δ¹³C is a versatile tracer for understanding Earth system processes.
Natural processes preferentially utilize ¹²C over ¹³C
This leads to distinct isotopic signatures in:
Plants
Soils
Carbonates
Organic matter
δ13C=((13C/12C)sample(13C/12C)standard−1)×1000\delta^{13}C = \left( \frac{(^{13}C/^{12}C)_{sample}}{(^{13}C/^{12}C)_{standard}} - 1 \right) \times 1000δ13C=((13C/12C)standard(13C/12C)sample−1)×1000
Expressed in per mil (‰)
Standard: VPDB (Vienna Pee Dee Belemnite)
C₃ plants (trees, shrubs): ~ −20‰ to −35‰
C₄ plants (grasses): ~ −9‰ to −17‰
Marine carbonates: ~ 0‰ (approx.)
👉 These differences form the basis for environmental interpretation.
Distinguishes C₃ vs. C₄ vegetation
Tracks:
Forest–grassland transitions
Ecosystem shifts
Biome evolution
Reconstructs:
Monsoon variability
Aridity vs. humidity
Vegetation response to climate
Traces carbon transfer between:
Atmosphere
Biosphere
Ocean
Applications:
Carbon sequestration
Organic carbon burial
Soil carbon turnover
Identifies:
Terrestrial vs. aquatic organic matter
Sediment source contributions
Helps interpret:
Depositional environments
Transport pathways
Used to study:
Dissolved inorganic carbon (DIC)
Carbon cycling in rivers and lakes
Water–rock interaction
Tracks:
Soil organic matter evolution
Pedogenesis
Vegetation–soil interactions
Reconstructs:
Ancient diets (C₃ vs. C₄ plants)
Agricultural practices
Land-use change
Identifies:
Source of hydrocarbons
Kerogen type
Thermal maturity
Tracks:
CO₂ sources (natural vs. fossil fuel)
Anthropogenic carbon input
δ¹³C is most powerful when combined with:
Environmental magnetism → sediment dynamics
Beryllium isotopes → erosion vs. weathering
¹⁴C → chronology
²³⁰Th → sediment flux
👉 Enables robust, process-based Earth system interpretation
Direct link to biological and geochemical processes
Applicable across multiple environments
High sensitivity to environmental change
Multiple controlling factors (non-unique signal)
Affected by diagenesis and mixing
Requires multiproxy validation