The DOI matches its Crossref record.
The Diatoms: Applications for the Environmental and Earth Sciences
Abstract
Diatoms are microscopic algae which are found in virtually every habitat where water is present. This volume is an up-to-date summary of the expanding field of their uses in environmental and earth sciences. Their abundance and wide distribution, and their well-preserved glass-like walls make them ideal tools for a wide range of applications as both fossils and living organisms. Examples of their wide range of applications include as environmental indicators, for oil exploration, and for forensic examination. The major emphasis is on their use in analysing ecological problems such as climate change, acidification and eutrophication. The contributors to the volume are leading researchers in their fields and are brought together for the first time to give a timely synopsis of a dynamic and important area. This book should be read by environmental scientists, phycologists, limnologists, ecologists and palaeoecologists, oceanographers, archaeologists and forensic scientists.
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
Cited by
RÜHLAND, K., PATERSON, A. M., & SMOL, J. P. (2008) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01670.x · Cited by 503
Ecological Assessments with Algae: A Review and Synthesis
Stevenson, J. (2014) · Journal of Phycology · doi:10.1111/jpy.12189 · Cited by 273
The Origin and Evolution of the Diatoms: Their Adaptation to a Planktonic Existence
KOOISTRA, W. H. C. F., GERSONDE, R., MEDLIN, L. K., & MANN, D. G. (2007) · Evolution of Primary Producers in the Sea · doi:10.1016/b978-012370518-1/50012-6 · Cited by 270
Xie, F., Wu, F., Liu, G., Mu, Y., Feng, C., Wang, H., & Giesy, J. P. (2014) · Environmental Science & Technology · doi:10.1021/es4037379 · Cited by 269
Wolfe, A. P., Hobbs, W. O., Birks, H. H., Briner, J. P., Holmgren, S. U., Ingólfsson, Ó., Kaushal, S. S., Miller, G. H., Pagani, M., Saros, J. E., et al. (2013) · Earth-Science Reviews · doi:10.1016/j.earscirev.2012.11.001 · Cited by 190
Metadata
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1999
- OpenAlex
- W2078670946
- Cited by
- 1,129
- References
- 0
- FWCI
- 15.69
- Type
- book
- Language
- en
- Open access
- closed
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: The Diatoms: Applications for the Environmental and Earth Sciences. https://app.cochat.ai/papers/10.1017/cbo9780511613005
- The paper
- The Diatoms: Applications for the Environmental and Earth Sciences. (1999). Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511613005
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.
