Date of Award
Spring 1998
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Ocean & Earth Sciences
Committee Director
Eileen E. Hofmann
Committee Member
Larry P. Atkinson
Committee Member
Susan E. Ford
Committee Member
John M. Klinck
Committee Member
Eric N. Powell
Abstract
An oyster population model coupled with a model for Haplosporidium nelsoni, the causative agent of the oyster disease MSX, was used with salinity time-series constructed from Delaware River flow measurements to study environmentally-induced variations in the annual cycle of this disease. Simulations with this model were designed to investigate the effect of increased or decreased spring freshwater discharge, the timing of high freshwater runoff, the presence or absence of a fall or late spring phytoplankton bloom, and the occurrence of a warm winter on MSX prevalence and intensity in Delaware Bay oyster populations. Model simulations for the lower Bay site reproduced the annual cycle observed in the lower Delaware Bay. Simulations at upper Bay (low salinity) and lower Bay (high salinity) sites produced MSX prevalences and intensities that were consistent with field observations. Warm winters prevented the loss of MSX infections during the winter, causing higher MSX infection levels in the spring and almost 100% mortality by July. These simulations demonstrate the importance of salinity and temperature in altering and controlling the MSX annual cycle.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ 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).
DOI
10.25777/2mh9-yg65
ISBN
9780591815658
Recommended Citation
Paraso, Michelle C..
"Modeling Environmental Effects on MSX Prevalence and Intensity in Eastern Oyster (Crassostrea virginica) Populations"
(1998). Master of Science (MS), Thesis, Ocean & Earth Sciences, Old Dominion University, DOI: 10.25777/2mh9-yg65
https://digitalcommons.odu.edu/oeas_etds/61