The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Maximum reproductive rate of fish at low population sizes
Abstract
We examine a database of over 700 spawner-recruitment series to search for parameters that are constant, or nearly so, at the level of a species or above. We find that the number of spawners produced per spawner each year at low populations, i.e., the maximum annual reproductive rate, is relatively constant within species and that there is relatively little variation among species. This quantity can be interpreted as a standardized slope at the origin of a spawner-recruitment function. We employ variance components models that assume that the log of the standardized slope at the origin is a normal random variable. This approach allows improved estimates of spawner-recruitment parameters, estimation of empirical prior distributions for Bayesian analysis, estimation of the biological limits of fishing, calculation of the maximum sustainable yield, and impact assessment of dams and pollution.
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Cites
(1992) · Reviews in Fish Biology and Fisheries · doi:10.1007/bf00042883 · Cited by 3,500
The Population Consequences of Life History Phenomena
Cole, L. C. (1954) · The Quarterly Review of Biology · doi:10.1086/400074 · Cited by 2,093
Nonlinear Mixed Effects Models for Repeated Measures Data
Lindstrom, M. J., & Bates, D. M. (1990) · Biometrics · doi:10.2307/2532087 · Cited by 1,795
That BLUP is a Good Thing: The Estimation of Random Effects
Robinson, G. K. (1991) · Statistical Science · doi:10.1214/ss/1177011926 · Cited by 1,686
Milne, L. J., & Milne, M. J. (1961) · Medical Entomology and Zoology · Cited by 717
A Linear Mixed-Effects Model with Heterogeneity in the Random-Effects Population
Verbeke, G., & Lesaffre, E. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476679 · Cited by 594
Fisheries stock assessment and decision analysis: the Bayesian approach
PUNT, A. E., & HILBORN, R. (1997) · Reviews in Fish Biology and Fisheries · doi:10.1023/a:1018419207494 · Cited by 579
WHY DO FISH STOCKS COLLAPSE? THE EXAMPLE OF COD IN ATLANTIC CANADA
Myers, R. A., Hutchings, J. A., & Barrowman, N. J. (1997) · Ecological Applications · doi:10.1890/1051-0761(1997)007[0091:wdfsct]2.0.co;2 · Cited by 557
Self-citationWalters, C. J., & Kitchell, J. F. (2001) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/cjfas-58-1-39 · Cited by 497
The Stability of Predator‐Prey Systems
Smith, J. M., & Slatkin, M. (1973) · Ecology · doi:10.2307/1934346 · Cited by 432
Cited by
Rose, K. A., Cowan, J. H., Winemiller, K. O., Myers, R. A., & Hilborn, R. (2001) · Fish and Fisheries · doi:10.1046/j.1467-2960.2001.00056.x · Cited by 696
Self-citationA review of integrated analysis in fisheries stock assessment.
Maunder, M. N., & Punt, A. E. (2013) · Fisheries Research · doi:10.1016/j.fishres.2012.07.025 · Cited by 505
Fish abundance with no fishing: predictions based on macroecological theory
Jennings, S., & Blanchard, J. L. (2004) · Journal of Animal Ecology · doi:10.1111/j.0021-8790.2004.00839.x · Cited by 298
Effects of cryptic mortality and the hidden costs of using length limits in fishery management
Coggins, L. G., Catalano, M. J., Allen, M. S., Pine, W. E., & Walters, C. J. (2007) · Fish and Fisheries · doi:10.1111/j.1467-2679.2007.00247.x · Cited by 257
Life‐history correlates of extinction risk and recovery potential
Hutchings, J. A., Myers, R. A., García, V. B., Lucifora, L. O., & Kuparinen, A. (2012) · Ecological Applications · doi:10.1890/11-1313.1 · Cited by 234
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Metadata
- Authors
- Myers, R. A., Bowen, K. G., & Barrowman, N. J.
- Venue
- Canadian Journal of Fisheries and Aquatic Sciences
- Publisher
- Canadian Science Publishing
- Published
- 1999-12-01
- Volume
- 56
- Issue
- 12
- Pages
- 2404-2419
- ISSN
- 0706-652X (ISSN-L)
- 1205-7533
- OpenAlex
- W2130870465
- Cited by
- 503
- References
- 25
- FWCI
- 19.27
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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