Skip to main content
Log in

Source partitioning using stable isotopes: coping with too many sources

  • Ecosystems Ecology
  • Published:
Oecologia Aims and scope Submit manuscript

Abstract

Stable isotopes are increasingly being used as tracers in environmental studies. One application is to use isotopic ratios to quantitatively determine the proportional contribution of several sources to a mixture, such as the proportion of various pollution sources in a waste stream. In general, the proportional contributions of n+1 different sources can be uniquely determined by the use of n different isotope system tracers (e.g., δ13C, δ15N, δ18O) with linear mixing models based on mass balance equations. Often, however, the number of potential sources exceeds n+1, which prevents finding a unique solution of source proportions. What can be done in these situations? While no definitive solution exists, we propose a method that is informative in determining bounds for the contributions of each source. In this method, all possible combinations of each source contribution (0–100%) are examined in small increments (e.g., 1%). Combinations that sum to the observed mixture isotopic signatures within a small tolerance (e.g., ±0.1‰) are considered to be feasible solutions, from which the frequency and range of potential source contributions can be determined. To avoid misrepresenting the results, users of this procedure should report the distribution of feasible solutions rather than focusing on a single value such as the mean. We applied this method to a variety of environmental studies in which stable isotope tracers were used to quantify the relative magnitude of multiple sources, including (1) plant water use, (2) geochemistry, (3) air pollution, and (4) dietary analysis. This method gives the range of isotopically determined source contributions; additional non-isotopic constraints specific to each study may be used to further restrict this range. The breadth of the isotopically determined ranges depends on the geometry of the mixing space and the similarity of source and mixture isotopic signatures. A sensitivity analysis indicated that the estimated ranges vary only modestly with different choices of source increment and mass balance tolerance parameter values. A computer program (IsoSource) to perform these calculations for user-specified data is available at http://www.epa.gov/wed/pages/models.htm.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6A–F.
Fig. 7A, B.

Similar content being viewed by others

Notes

  1. δ13C in ‰ is the deviation of the C isotope ratio of a sample from that of a standard (PeeDee Belemnite). δ13C=(R sample/R standard−1)×1,000, where R=13C/12C. Similarly, δ15N is the deviation in ‰ of the N isotope ratio of a sample from that of a standard (atmospheric N2) where R=15N/14N, and δ2H is the deviation of the H isotope ratio of a sample from that of a standard (Standard Mean Ocean Water) where R=2H/1H.

References

  • Ben-David M, Hanley TA, Klein DR, Schell DM (1997) Seasonal changes in diets of coastal and riverine mink: the role of spawning Pacific salmon. Can J Zool 75:803–811

    Google Scholar 

  • Cramer VA, Thorburn PJ, Fraser GW (1999) Transpiration and groundwater uptake from farm forest plots of Casuarina glauca and Eucalyptus camaldulensis in saline areas of southeast Queensland, Australia. Agric Water Manage 39:187–204

    Article  Google Scholar 

  • Dauby P (1989) The stable carbon isotope ratios in benthic food webs of the Gulf of Calvi, Corsica. Cont Shelf Res 9:181–195

    Google Scholar 

  • Dawson TE (1993) Water sources of plants as determined from xylem-water isotopic composition: perspectives on plant competition, distribution, and water relations. In: Ehleringer JR, Hall AE, Farquhar GD (eds) Stable isotopes and plant carbon-water relations. Academic Press, San Diego, Calif., USA, pp 465–496

  • Ehleringer JR, Rundel, PW (1989) Stable isotopes: history, units, and instrumentation. In: Rundel PW, Ehleringer JR, Nagy KA (eds) Stable isotopes in ecological research. Springer, Berlin Heidelberg New York, pp 1–16

  • Fry B, Sherr EB (1984) δ13C measurements as indicators of carbon flow in marine and freshwater ecosystems. Contrib Mar Sci 27:13–47

    CAS  Google Scholar 

  • Hopper JF, Ross HB, Sturges WT, Barrie LA (1991) Regional source discrimination of atmospheric aerosols in Europe using the isotopic composition of lead. Tellus 43B:45–60

    Google Scholar 

  • Kennedy MJ, Chadwick OA, Vitousek PM, Derry LA, Hendricks DM (1998) Changing sources of base cations during ecosystem development, Hawaiian Islands. Geology 26:1015–1018

    Article  CAS  Google Scholar 

  • Michener RH, Schell DM (1994) Stable isotope ratios as tracers in marine aquatic food webs. In: Lajtha K, Michener RH (eds) Stable isotopes in ecology and environmental science. Blackwell, London, pp 138–157

  • Minagawa M (1992) Reconstruction of human diet from δ13C and δ15N in contemporary Japanese hair: a stochastic method for estimating multi-source contribution by double isotopic tracers. Appl Geochem 7:145–158

    CAS  Google Scholar 

  • Phillips DL (2001) Mixing models in analyses of diet using multiple stable isotopes: a critique. Oecologia 127:166–170

    Article  Google Scholar 

  • Phillips DL, Gregg JW (2001) Uncertainty in source partitioning using stable isotopes. Oecologia 127:171–179 (see also erratum, Oecologia 128:204)

    Google Scholar 

  • Phillips DL, Koch PL (2002) Incorporating concentration dependence in stable isotope mixing models. Oecologia 130:114–125

    Google Scholar 

  • Saito L, Johnson BM, Bartholomow J, Hanna RB (2001) Assessing ecosystem effects of reservoir operations using food web-energy transfer and water quality models. Ecosystems 4:105–125

    Article  CAS  Google Scholar 

  • Sturges WT, Hopper JF, Barrie LA, Schnell RC (1993) Stable lead isotope ratios in Alaskan Arctic aerosols. Atmos Environ 27A:2865–2871

    CAS  Google Scholar 

  • Vezina AF, Platt T (1988) Food web dynamics in the ocean. I. Best estimates of flow networks using inverse methods. Mar Ecol Prog Ser 42:269–287

    Google Scholar 

  • Walraven N, Vanos BJH, Klaver GT, Baker JH, Vriend SP (1997) Trace element concentrations and stable lead isotopes in soils as tracers of lead pollution in Graft-DeRijp, Netherlands. J Geochem Explor 59:47–58

    Article  CAS  Google Scholar 

  • Zencich SJ, Froend RH, Turner JV, Gailitis V (2002) Influence of groundwater depth on the seasonal sources of water accessed by Banksia tree species on a shallow, sandy coastal aquifer. Oecologia 131:8–19

    Article  Google Scholar 

Download references

Acknowledgements

We thank Merav Ben-David, Paul Koch, Todd Dawson, the EPA/Oregon State University "Isotopics" discussion group, and an anonymous reviewer for thoughtful reviews of this paper, and Merav Ben-David, Martin Kennedy, William Sturges, and Sandra Zencich for kindly allowing our use of their studies as examples. Robert Gibson of Computer Sciences Corporation wrote the IsoSource Visual Basic program. The information in this document has been funded by the U.S. Environmental Protection Agency. It has been subjected to Agency review and approved for publication. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Donald L. Phillips.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Phillips, D.L., Gregg, J.W. Source partitioning using stable isotopes: coping with too many sources. Oecologia 136, 261–269 (2003). https://doi.org/10.1007/s00442-003-1218-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00442-003-1218-3

Keywords

Navigation