A spatial modeling approach to pelagic ecosystems /

A modeling technique is developed and applied to two different marine ecosystems problems. The technique approaches marine systems through the mathematical modeling of spatial patterns and deals with spatial heterogeneity in marine zooplankton and environmental parameters. In one instance, the spati...

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Bibliographic Details
Main Author: Show, Ivan Tristan
Other Authors: Berner, L. (degree committee member.), Gates, C. E. (degree committee member.), Vastano, A. C. (degree committee member.)
Format: Thesis Book
Language:English
Published: [College Station, Tex.] : Show, 1977.
Subjects:
Online Access:Link to ProQuest copy.
Link to OAKTrust copy
Description
Summary:A modeling technique is developed and applied to two different marine ecosystems problems. The technique approaches marine systems through the mathematical modeling of spatial patterns and deals with spatial heterogeneity in marine zooplankton and environmental parameters. In one instance, the spatial distribution of the copepod, Acartia tonsa, in East Lagoon, Galveston Island, Texas is modeled. The East Lagoon model is driven by a dynamic three-dimensional physical numeric model which provides current velocity, temperature, and salinity fields. The biological model uses these fields to determine the spatial patterns of A. tonsa in terms of its response to current velocity fields, behavioral responses to temperature and salinity gradients, intraspecific aggregation, and birth-death processes. The model yields stochastic means and variances. The results are shown to closely approximate field data from East Lagoon. In the other instance, the model deals with the combined effects of vertical migration and horizontal advection on the spatial patterns of four species of Pteropods in a cyclonic Gulf Stream. This form of the model contains only components dealing with horizontal current velocity fields and vertical migrations. However, one simulation involves a predator-prey submodel. The Gulf Stream ring study is a numerical experiment not backed by sampling data. It clearly demonstrates the dangers of not including spatial considerations in certain classes of marine ecosystems models.
Item Description:"Major subject: Oceanography."
Vita.
Physical Description:x, 135 leaves : illustrations ; 28 cm
Bibliography:Includes bibliographical references (leaves 111-118).