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Old Dominion University

Assessing Movement of Fish Through Spectral Analysis of Otolith Life History Scans

Abstract

dc:description.abstract

<p>The ability to accurately measure movement timing across environmental gradients is fundamental for testing hypotheses in marine ecology that deal with ingress, egress, and migration of fish. Timing and patterns of movement have been estimated using life-history scans of the chemical signatures encoded in fish otoliths (ear stones). I provide a quantitative approach to examining life history scan data using spectral analysis, which retrospectively measures the movement timing for individual fish. Sagittal otoliths from juvenile Atlantic croaker (<em>Micropogonias undulates</em>) and adult black sea bass (<em>Centropristis striata</em>) were sampled using laser ablation inductively coupled plasma mass spectrometry (LA-ICPMS).</p> <p>For Atlantic croaker, spectral analyses of the data estimate the timing of ingress at 68 days on average using strontium and 85 days using barium. Based on the inflection points of their nonlinear mixing curves, these data reveal entry and subsequent movement up-estuary. Moreover, I use spectrally-derived estimates to show that growth rates did not drive ingress timing for these samples. These data thus lend no support to the critical-size hypothesis in this instance.</p> <p>I additionally hypothesized that the three-dimensional structure of otoliths could produce sampling artifacts in the results of laser ablation scans. To test this hypothesis, I ablated two trenches of different depths on each otolith, performing spectral analyses on these data to investigate the effects of ablation depth, including differences in periodicities and temporal variability between trenches. The means of the two trench depths were significantly (t=114.25, p</p> <p>I examined the periodic movement of a coastal fish population by quantifying the inshore-offshore migration patterns in black sea bass. I sampled adult black sea bass from two portions of the population's residency as a means of making inferences about this expected life history pattern, using differences in space as a proxy for differences in time. I estimated the movement timing between inshore and offshore environments using the aforementioned spectral analysis techniques. Mean timing of this periodic movement was estimated at 365 days using strontium and 455 days using barium. The otolith edge chemistry between the inshore and offshore samples was significantly different in both strontium (t=33.48, p<0.0001) and barium (t=7.59, p<0.0001), with offshore samples consistently exhibiting much higher barium signals. These results offer preliminary evidence to the hypothesis of barite-rich waters being supplied to the offshore coastal shelf via submarine canyon upwelling processes.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Ocean & Earth Sciences
Year dc:date.available
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hoover, Renee Reilly
Contributors dc:contributor
  • Cynthia M. Jones
  • Chester Grosch
  • Norou Diawara

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • <p>In Copyright. URI: <a href="http://rightsstatements.org/vocab/InC/1.0/">http://rightsstatements.org/vocab/InC/1.0/</a> This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).</p>

Identifiers

dc:identifier.*
Identifier
9781267736512
OAI identifier oai:identifier
oai:digitalcommons.odu.edu:oeas_etds-1045

Chain of custody

source
Harvested from
Old Dominion University
Base URL
digitalcommons.odu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Hoover, Renee Reilly. Assessing Movement of Fish Through Spectral Analysis of Otolith Life History Scans. Dissertation thesis, 2012. https://digitalcommons.odu.edu/oeas_etds/40