Larval Diel Vertical Migration of the Marine Gastropod Kelletia kelletii (Forbes, 1850)

Documenting larval behavior is critical for building an understanding of larval dispersal dynamics and resultant population connectivity. Nocturnal diel vertical migration (DVM), a daily migration towards the surface of the water column at night and downward during the day, can profoundly influence...

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Bibliographic Details
Main Authors: Melissa R. Romero, Kimberly M. Walker, Carmen J. Cortez, Yareli Sanchez, Kimberly J. Nelson, Daisha C. Ortega, Serra L. Smick, William J. Hoese, Danielle C. Zacherl
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Journal of Marine Biology
Online Access:http://dx.doi.org/10.1155/2012/386575
Description
Summary:Documenting larval behavior is critical for building an understanding of larval dispersal dynamics and resultant population connectivity. Nocturnal diel vertical migration (DVM), a daily migration towards the surface of the water column at night and downward during the day, can profoundly influence dispersal outcomes. Via laboratory experiments we investigated whether marine gastropod Kelletia kelletii larvae undergo nocturnal DVM and whether the behavior was influenced by the presence of light, ontogeny, and laboratory culturing column height. Larvae exhibited a daily migration pattern consistent with nocturnal diel vertical migration with lower average vertical positioning (ZCM) during day-time hours and higher vertical positioning at night-time hours. ZCM patterns varied throughout ontogeny; larvae became more demersal as they approached competency. There was no effect of column height on larval ZCM. DVM behavior persisted in the absence of light, indicating a possible endogenous rhythm. Findings from field plankton tows corroborated laboratory nocturnal DVM findings; significantly more K. kelletii were found in surface waters at midnight compared to at noon. Unraveling the timing of and the cues initiating DVM behavior in K. kelletii larvae can help build predictive models of dispersal outcomes for this emerging fishery species.
ISSN:1687-9481
1687-949X