The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The Myth of the Most Sensitive Species
Abstract
John Cairns, Jr.; The Myth of the Most Sensitive Species: Multispecies testing can provide valuable evidence for protecting the environment, BioScience, Volume
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Citations
Cites
Limitations of Laboratory Bioassays: The Need for Ecosystem-Level Testing
Kimball, K. D., & Levin, S. A. (1985) · BioScience · doi:10.2307/1309866 · Cited by 277
Are single species toxicity tests alone adequate for estimating environmental hazard?
Cairns, J. (1983) · Hydrobiologia · doi:10.1007/bf00027421 · Cited by 265
Cited by
Ecological Uses of Vertebrate Indicator Species: A Critique
LANDRES, P. B., VERNER, J., & THOMAS, J. W. (1988) · Conservation Biology · doi:10.1111/j.1523-1739.1988.tb00195.x · Cited by 773
Impact of agricultural inputs on soil organisms - a review
Bünemann, E. K., Schwenke, G. D., & Van Zwieten, L. (2006) · Soil Research · doi:10.1071/sr05125 · Cited by 521
Aquatic ecotoxicology of fluoxetine
Brooks, B. W., Foran, C. M., Richards, S. M., Weston, J., Turner, P. K., Stanley, J. K., Solomon, K. R., Slattery, M., & La Point, T. W. (2003) · Toxicology Letters · doi:10.1016/s0378-4274(03)00066-3 · Cited by 443
Metadata
- Authors
- Cairns
- Venue
- BioScience
- Publisher
- Oxford University Press (OUP)
- Published
- 1986-11
- Volume
- 36
- Issue
- 10
- Pages
- 670-672
- ISSN
- 0006-3568 (ISSN-L)
- 1525-3244
- OpenAlex
- W2298472281
- Cited by
- 265
- References
- 2
- FWCI
- 8.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Myth of the Most Sensitive Species. https://app.cochat.ai/papers/10.2307/1310388
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- Cairns. (1986). The Myth of the Most Sensitive Species. BioScience. https://doi.org/10.2307/1310388
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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.
