An investigation into different sampling techniques and geographic variation in size-fecundity parameters of the American lobster, H. americanus

This thesis focuses on two main aspects, the first of which looks at non-invasive sampling techniques to estimate fecundity and the second looks at a model that can predict size-fecundity parameters from latitude. The non-invasive sampling techniques estimate fecundity for ovigerous American lobster...

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Bibliographic Details
Main Author: Currie, Jens Jacob
Format: Thesis
Language:English
Published: Memorial University of Newfoundland 2010
Subjects:
Online Access:https://research.library.mun.ca/9456/
https://research.library.mun.ca/9456/1/Currie_JensJacob.pdf
Description
Summary:This thesis focuses on two main aspects, the first of which looks at non-invasive sampling techniques to estimate fecundity and the second looks at a model that can predict size-fecundity parameters from latitude. The non-invasive sampling techniques estimate fecundity for ovigerous American lobster (Homarus americanus) based on measurements and digital image analysis. Non-invasive fecundity estimates can now be made that require the removal of only ten eggs per female. Applications of this technique includes the evaluation of the efficacy of conservation measures, such as v-notching or the establishment of closed areas, aimed at increasing egg production, where differences in egg production can be quantified without the use of destructive sampling techniques. In order to create a model able to predict size-fecundity relationships throughout the species range, fecundity estimates for American lobster (H. americanus) from 11 different locations in the Northwest Atlantic (from the Strait of Belle Isle, Newfoundland to Buzzards Bay, Massachusetts) were obtained. The data were then analyzed for geographic variation and a latitudinal gradient was found in the size-fecundity parameter b. This was then used to create a model that can predict size-fecundity relationships from latitude. This model will allow for future fecundity estimates to be made, utilizing size data from latitude for any population in the Northwest Atlantic.