A spatial modeling approach to pelagic ecosystems.

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dc.acquisition-srcen_US
dc.call-noQH541.5.S3 S5 1977 GBAYen_US
dc.contract-noen_US
dc.contributor.authorShow, I.T., Jr.en_US
dc.contributor.otheren_US
dc.date.accessioned2010-02-15T17:20:46Z
dc.date.available2010-02-15T17:20:46Z
dc.date.issued1977en_US
dc.degreeen_US
dc.description135 p., Dissertationen_US
dc.description-otheren_US
dc.description.abstractA 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 feilds. 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, intranspecific 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 ring. 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.en_US
dc.description.urihttp://gbic.tamug.edu/request.htmen_US
dc.geo-codeGalveston Islanden_US
dc.geo-codeEast Lagoonen_US
dc.historyen_US
dc.identifier.urihttp://hdl.handle.net/1969.3/23957
dc.latitudeen_US
dc.locationGBIC Collectionen_US
dc.longitudeen_US
dc.notesen_US
dc.placeCollege Station, Texasen_US
dc.publisherTexas A&M University.en_US
dc.relation.ispartofseries564.00en_US
dc.relation.urien_US
dc.scaleen_US
dc.seriesen_US
dc.subjectmathematical modelsen_US
dc.subjectmodelingen_US
dc.subjectgeographical distributionen_US
dc.subjectcopepodsen_US
dc.subjectAcartia tonsaen_US
dc.subjectecosystemsen_US
dc.subjectpelagic environmenten_US
dc.titleA spatial modeling approach to pelagic ecosystems.en_US
dc.typeBooken_US
dc.universityen_US
dc.vol-issueen_US

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