The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Establishing geochemical background variation and threshold values for 59 elements in Australian surface soil
Open accessAbstract
. The <2mm fraction of these samples was analysed for 59 elements by ICP-MS following an aqua regia digestion. Results are used here to establish the geochemical background variation of these elements, including potentially toxic elements (PTEs), in Australian surface soil. Different methods of obtaining geochemical threshold values, which differentiate between background and those samples with unusually high element concentrations and requiring attention, are presented and compared to Western Australia's 'ecological investigation levels' (EILs) established for 14 PTEs. For Mn and V these EILs are so low that an unrealistically large proportion (~24%) of the sampled sites would need investigation in Australia. For the 12 remaining elements (As, Ba, Cd, Co, Cr, Cu, Hg, Mo, Ni, Pb, Sn and Zn) few sample sites require investigation and as most of these are located far from human activity centres, they potentially suggest either minor local contamination or mineral exploration potential rather than pollution. No major diffuse source of contamination by PTEs affects Australian soil at the continental scale. Of the statistical methods used to establish geochemical threshold values, the most pertinent results come from identifying breaks in cumulative probability distributions, the Tukey inner fence and the 98th percentile. Geochemical threshold values for 59 elements, including emerging 'high-tech' critical elements such as lanthanides, Be, Ga or Ge, for which no EILs currently exist, are presented.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
David, F. N., & Tukey, J. W. (1977) · Biometrics · doi:10.2307/2529486 · Cited by 12,708
Distribution of the Elements in Some Major Units of the Earth's Crust
TUREKIAN, K. K., & WEDEPOHL, K. H. (1961) · Geological Society of America Bulletin · doi:10.1130/0016-7606(1961)72[175:doteis]2.0.co;2 · Cited by 5,630
The Statistical Analysis of Compositional Data
Aitchison, J. (1986) · doi:10.1007/978-94-009-4109-0 · Cited by 4,383
The Statistical Analysis of Compositional Data
Piepel, G. F. (1988) · Technometrics · doi:10.1080/00401706.1988.10488337 · Cited by 3,418
Heavy Metals in Agricultural Soils of the European Union with Implications for Food Safety
Tóth, G., Hermann, T., Da Silva, M. R., & Montanarella, L. (2016) · Environment International · doi:10.1016/j.envint.2015.12.017 · Cited by 1,654
Geochemistry in Mineral Exploration
HAWKES, H. E., & WEBB, J. S. (1963) · Soil Science · doi:10.1097/00010694-196304000-00016 · Cited by 1,481
Birch, J. B., & Tukey, J. W. (1978) · Journal of the American Statistical Association · doi:10.2307/2286300 · Cited by 1,440
Multivariate statistical and GIS-based approach to identify heavy metal sources in soils
Facchinelli, A., Sacchi, E., & Mallen, L. (2001) · Environmental Pollution · doi:10.1016/s0269-7491(00)00243-8 · Cited by 1,410
Background and threshold: critical comparison of methods of determination
Reimann, C., Filzmoser, P., & Garrett, R. G. (2005) · Science of The Total Environment · doi:10.1016/j.scitotenv.2004.11.023 · Cited by 886
Self-citationReimann, C., & de Caritat, P. (2005) · Science of The Total Environment · doi:10.1016/j.scitotenv.2004.06.011 · Cited by 780
Self-citation
Cited by
Cryptic footprints of rare earth elements on natural resources and living organisms
Adeel, M., Lee, J. Y., Zain, M., Rizwan, M., Nawab, A., Ahmad, M. A., Shafiq, M., Yi, H., Jilani, G., Javed, R., et al. (2019) · Environment International · doi:10.1016/j.envint.2019.03.022 · Cited by 282
Metadata
- Authors
- Reimann, C., & de Caritat, P.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 578
- Pages
- 633-648
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2554942105
- Cited by
- 266
- References
- 32
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Establishing geochemical background variation and threshold values for 59 elements in Australian surface soil. https://app.cochat.ai/papers/10.1016/j.scitotenv.2016.11.010
- The paper
- Reimann, C., & de Caritat, P. (2017). Establishing geochemical background variation and threshold values for 59 elements in Australian surface soil. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2016.11.010
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.