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Do stable isotopes reflect the food web development in regenerating ecosystems?
1Institut für Okologie, Friedrich-Schiller-University, Jena, Germany.
Isotopes in Environmental and Health Studies
|August 15, 2001
Summary
Stable isotopes (delta15N and delta13C) effectively track food web development in regenerating ecosystems. Faeces recycling and starvation significantly influence isotopic values, highlighting their utility in understanding trophic interactions.
Area of Science:
- Ecology
- Biogeochemistry
- Environmental Science
Background:
- Monitoring food web complexity and biodiversity is crucial for understanding ecosystem regeneration.
- Stable isotopes, specifically delta15N and delta13C, offer potential insights into trophic dynamics.
Purpose of the Study:
- To evaluate the efficacy of delta15N and delta13C values in monitoring food web development.
- To investigate the influence of dietary quality and animal stress on isotopic signatures.
- To assess the impact of faeces recycling and starvation on stable isotope measurements.
Main Methods:
- A model food chain was established using woodlice (Porcellio dilatatus) fed on a fungus (Chaetomium globosum).
- Two diets with varying C:N ratios and delta15N values were used to induce different levels of dietary stress.
- Elemental and isotopic composition of woodlice, faeces, exuviae, and remaining food were analyzed after 7 weeks.
Main Results:
- Observed increases in delta15N values of woodlice relative to diet varied between treatments (5.7% vs. 2.5%).
- Observed delta13C shifts showed a reverse relationship (1.0% vs. 1.6%) and correlated positively with starvation.
- Faeces recycling was identified as a key factor explaining unexpected 15N-enrichments.
Conclusions:
- Stable isotopes (delta15N and delta13C) are valuable tools for elucidating trophic interactions in regenerating ecosystems.
- Accounting for starvation and faeces recycling is essential for accurate interpretation of isotopic data.
- This study demonstrates the utility of stable isotopes in assessing ecosystem recovery and complexity.