Malcolm Haddon

Modelling and Quantitative Methods in Fisheries (eBook, ePUB)

• Format: ePub

Produktbeschreibung

With numerous real-world examples, this text provides an introduction to the analytical methods used by fisheries' scientists and ecologists. The author presents full, step-by-step derivations of equations as much as possible to enable a thorough understanding of the models and methods. This edition incorporates two new chapters on characterizing uncertainty and size-based models. It includes many worked examples in Excel that help explain the analyses in detail and demonstrate how to perform the analyses. Excel workbooks are available for download at www.crcpress.com.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 11. März 2011
• Englisch
• ISBN-13: 9781040059067
• Artikelnr.: 70745292

Autorenporträt

Malcolm Haddon is a senior fisheries modeller for CSIRO in Hobart, Tasmania, Australia. Prior to joining CSIRO, Dr. Haddon was an associate professor at the University of Tasmania, head of fisheries at Australian Maritime College, a senior research fellow at the University of Sydney, editor of the New Zealand Journal of Marine and Freshwater Research, and a lecturer at Victoria University of Wellington. He has conducted stock assessments on Tasmanian rock lobster, giant crab, and abalone. Now at CSIRO, he continues to produce stock assessments of abalone but also for an array of Australian Commonwealth fisheries.

Inhaltsangabe

Fisheries and Modelling. Simple Population Models. Model Parameter
Estimation. Computer-Intensive Methods. Randomization Tests. Statistical
Bootstrap Methods. Monte Carlo Modelling. Characterization of Uncertainty.
Growth of Individuals. Stock Recruitment Relationships. Surplus Production
Models. Age-Structured Models. Size-Based Models. Appendix. Bibliography.
Index.