The DOI matches its Crossref record.
Reversal of the Burden of Proof in Fisheries Management
Abstract
In his research commentary, Dayton argues that decisions in fisheries management should follow the model of the U.S. Nuclear Regulatory Commission or the Food and Drug Administration in which the commercial enterprise must prove that their activity or product does no harm before it can be approved. At present, fishing activities cannot be curtailed until it can be proven that they are already damaging existing ecosystems (see report and news story in this issue).
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Citations
Cited by
Towards sustainability in world fisheries.
Pauly, D., Christensen, V., Guénette, S., Pitcher, T. J., Sumaila, U. R., Walters, C. J., Watson, R., & Zeller, D. (2002) · Nature · doi:10.1038/nature01017 · Cited by 3,019
The Abuse of Power: The Pervasive Fallacy of Power Calculations for Data Analysis
Hoenig, J. M., & Heisey, D. M. (2001) · The American Statistician · doi:10.1198/000313001300339897 · Cited by 2,046
Lewin, W.-C., Arlinghaus, R., & Mehner, T. (2006) · Reviews in Fisheries Science · doi:10.1080/10641260600886455 · Cited by 668
Marine protected areas and ocean basin management
Hyrenbach, K. D., Forney, K. A., & Dayton, P. K. (2000) · Aquatic Conservation: Marine and Freshwater Ecosystems · doi:10.1002/1099-0755(200011/12)10:6<437::aid-aqc425>3.0.co;2-q · Cited by 401
Self-citationMinimizing the cost of environmental management decisions by optimizing statistical thresholds
Field, S. A., Tyre, A. J., Jonzén, N., Rhodes, J. R., & Possingham, H. P. (2004) · Ecology Letters · doi:10.1111/j.1461-0248.2004.00625.x · Cited by 236
Metadata
- Authors
- Dayton, P. K.
- Venue
- Science
- Published
- 1998-02-06
- Volume
- 279
- Issue
- 5352
- Pages
- 821-822
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2165156730
- Cited by
- 207
- References
- 0
- FWCI
- 18.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dayton, P. K. (1998). Reversal of the Burden of Proof in Fisheries Management. Science. https://doi.org/10.1126/science.279.5352.821
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.
