An Introduction to Modelling Abundance and Life History Parameters in Shark Populations

Dovi Kacev, Timothy J. Sippel, Michael J. Kinney, Sebastián A. Pardo, Christopher G. Mull

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Elasmobranchs play critically important ecological roles throughout the world's oceans, yet in many cases, their slow life histories and interactions with fisheries makes them particularly susceptible to exploitation. Management for these species requires robust scientific input, and mathematical models are the backbone of science-based management. In this chapter, we provide an introductory overview of the use of mathematical models to estimate shark abundance. First, we discuss life history models that are used to understand the basic biology of elasmobranchs. Second, we cover population dynamics models, which are used to make inferences regarding population trend, size, and risk of extinction. Finally, we provide examples of applied models used to assess the status of elasmobranchs in the Northeast Pacific Ocean to guide management for these species. This chapter is not a comprehensive review of quantitative methods, but rather introduces various mathematical tools in fisheries management, with a focus on shark management in the Northeast Pacific Ocean.

Original languageEnglish
Title of host publicationAdvances in Marine Biology
PublisherAcademic Press
Pages45-87
Number of pages43
DOIs
Publication statusPublished - 2017
Externally publishedYes

Publication series

NameAdvances in Marine Biology
Volume78
ISSN (Print)0065-2881
ISSN (Electronic)2162-5875

Bibliographical note

Publisher Copyright:
© 2017 Elsevier Ltd

ASJC Scopus Subject Areas

  • Ecology, Evolution, Behavior and Systematics
  • Aquatic Science

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Cite this

Kacev, D., Sippel, T. J., Kinney, M. J., Pardo, S. A., & Mull, C. G. (2017). An Introduction to Modelling Abundance and Life History Parameters in Shark Populations. In Advances in Marine Biology (pp. 45-87). (Advances in Marine Biology; Vol. 78). Academic Press. https://doi.org/10.1016/bs.amb.2017.08.001