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Sampling Highly Aggregated Populations with Application to California Sardine Managenent

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Part of the book series: Lecture Notes in Biomathematics ((LNBM,volume 72))

Abstract

The management of Pacific sardine off the California coast is used to motivate a number of problems associated with egg or larvae sampling. The use of the negative binomial distribution as a model for the spatial distribution of eggs is discussed and inference for the negative binomial by classical and Bayesian methods is introduced, A particular problem, that of presence-absence sampling when not all sampling sites are habitats, is analyzed in detail. The paper closes with a number of open questions, ranging from improvements in the modeling, to prescriptive problems associated with survey design.

Dedicated to the memory of Philip Morse: An extraordinary man and scientist who pioneered bringing the approach of basic science to operational problems

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© 1987 Springer-Verlag Berlin Heidelberg

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Mangel, M. (1987). Sampling Highly Aggregated Populations with Application to California Sardine Managenent. In: Vincent, T.L., Cohen, Y., Grantham, W.J., Kirkwood, G.P., Skowronski, J.M. (eds) Modeling and Management of Resources under Uncertainty. Lecture Notes in Biomathematics, vol 72. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93365-3_19

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  • DOI: https://doi.org/10.1007/978-3-642-93365-3_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-17999-3

  • Online ISBN: 978-3-642-93365-3

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