Lagrangian biological analysis

D. B. Olson; C. B. Paris

doi:10.1016/B978-0-12-409548-9.09330-1

Lagrangian biological analysis

D. B. Olson, C. B. Paris

Ocean Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Following the progression on an individual organism as it lives in the ocean naturally leads to a point of view known as a Lagrangian or particle following description. This description records the position of the organism over time and collects information of its status in terms of growth and reproduction. This type of analysis has certain advantages over field descriptions (maps) of populations and their distribution over space and time. Here the Lagrangian description of biology is defined and applied in examples of population dynamics, biogeographic connectivity, and genetics. This involves introduction of the mathematical formulation of Lagrangian analysis and applications to problems such as understanding the results of animal tagging.

Original language	English (US)
Title of host publication	Encyclopedia of Ocean Sciences
Publisher	Elsevier
Pages	513-519
Number of pages	7
ISBN (Electronic)	9780128130810
ISBN (Print)	9780128130827
DOIs	https://doi.org/10.1016/B978-0-12-409548-9.09330-1
State	Published - Jan 1 2019

Keywords

Animal tracking
Demographic structure population simulations
Lagrangian formulations
Population connectivity

ASJC Scopus subject areas

Earth and Planetary Sciences(all)

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10.1016/B978-0-12-409548-9.09330-1

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AB - Following the progression on an individual organism as it lives in the ocean naturally leads to a point of view known as a Lagrangian or particle following description. This description records the position of the organism over time and collects information of its status in terms of growth and reproduction. This type of analysis has certain advantages over field descriptions (maps) of populations and their distribution over space and time. Here the Lagrangian description of biology is defined and applied in examples of population dynamics, biogeographic connectivity, and genetics. This involves introduction of the mathematical formulation of Lagrangian analysis and applications to problems such as understanding the results of animal tagging.

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