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dc.contributor.advisorRetchless, David
dc.contributor.advisorHighfield, Wesley
dc.creatorSterne, Travis Keenan
dc.date.accessioned2019-01-18T03:30:21Z
dc.date.available2020-08-01T06:38:16Z
dc.date.created2018-08
dc.date.issued2018-07-06
dc.date.submittedAugust 2018
dc.identifier.urihttps://hdl.handle.net/1969.1/173740
dc.description.abstractEffective management of marine resources requires an understanding of the spatial distribution of biologically important communities. The northwestern Gulf of Mexico contains diverse marine ecosystems at a large range of depths and geographic settings. Presence-only predictive modeling is used to gain an accurate estimate of the dispersion of species across large geographic areas. Similar to prior research, this project deduces that local geographic characteristics provide accurate predictive capacity for determining the probability of occurrence for marine organisms. The highest resolution bathymetric data (10m) available for the region is used to develop raster layers that represent characteristics that have been shown to influence species occurrence in other settings. A georeferenced historical photo record collected via Remotely Operated Vehicle (ROV) is classified according to six commonly found mesophotic habitats across the 18 reefs and banks under consideration for FGBNMS boundary expansion. Using maximum entropy modeling, the influence of local geographic characteristics on the presence of these habitats is measured and a spatial probability distribution is developed for each habitat type across the study area.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectmesophoticen
dc.subjecthabitat suitabilityen
dc.subjectmodelingen
dc.subjectmaximum entropyen
dc.subjecthabitatsen
dc.subjectcoral reefen
dc.subjectcoral communityen
dc.subjectalgal noduleen
dc.subjectalgal reefen
dc.subjectcrustose coralline algaeen
dc.subjectdeep coralen
dc.subjectdeep seaen
dc.subjectgulf of mexicoen
dc.subjectMaxenten
dc.titlePredictive Modeling of Mesophotic Habitats in the Northwestern Gulf of Mexicoen
dc.typeThesisen
thesis.degree.departmentMarine Sciencesen
thesis.degree.disciplineMarine Resources Managementen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameMaster of Marine Resources Managementen
thesis.degree.levelMastersen
dc.contributor.committeeMemberAllee, Rebecca
dc.type.materialtexten
dc.date.updated2019-01-18T03:30:22Z
local.embargo.terms2020-08-01
local.etdauthor.orcid0000-0002-8626-5151


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