Bias-elimination in fish population models with stochastic variation in survival of the young

Transactions of the American Fisheries Society
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Abstract

The addition of random variation in survival to a single prereproductive age class in a Leslie matrix population model can alter population growth in the modeled system. Methods are presented to characterize the stochastic variation in survival and to determine a correction factor that, when included in the model, will eliminate the propensity for the modeled population to systematically deviate from the initial conditions. This ability is important for applications of fish population models that seek to evaluate probability distributions of population trends that are associated with stochastic variations in survival, and to forecast the effects of changes in fishing mortality rates in fluctuating environments.

Suggested Citation

Goodyear, C., and Christensen, S., 1984, Bias-elimination in fish population models with stochastic variation in survival of the young: Transactions of the American Fisheries Society, v. 113, no. 5, p. 627-632, https://doi.org/10.1577/1548-8659(1984)113<627:BIFPMW>2.0.CO;2.

Publication type Article
Publication Subtype Journal Article
Title Bias-elimination in fish population models with stochastic variation in survival of the young
Series title Transactions of the American Fisheries Society
DOI 10.1577/1548-8659(1984)113<627:BIFPMW>2.0.CO;2
Volume 113
Issue 5
Year Published 1984
Language English
Publisher American Fisheries Society
Contributing office(s) Leetown Science Center
Description 6 p.
First page 627
Last page 632
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