{"id":{"repo_id":"usm","oai_identifier":"oai:aquila.usm.edu:masters_theses-1200"},"canonical_url":"https://search.dev.ndltd.org/etd/usm/oai:aquila.usm.edu:masters_theses-1200","repository":{"repo_id":"usm","name":"University of Southern Mississippi","base_url":"https://aquila.usm.edu/do/oai/"},"display":{"title":"Fishery and Population Dynamics of Mississippi’s Spotted Seatrout","abstract":"<p>Spotted Seatrout (<em>Cynoscion nebulosus</em>) is the most popular recreational inshore fishery in Mississippi coastal waters. Because of the popularity of Spotted Seatrout in Mississippi as a recreational target and the magnitude of harvest, quantitative approaches to describe the population and fishery dynamics of the Mississippi stock are needed to continue the sustainability of the stock. Quantitative approaches to describing stock dynamics are useful because they can help describe population characteristics, assess the current status of the stock, and be used to evaluate alternative management strategies. In this thesis, I use a suite of quantitative methods to describe, evaluate, and assess the population and fishery dynamics of the Mississippi Spotted Seatrout stock. Specifically, I describe the Spotted Seatrout length-at-age relationship using a multi-model approach, evaluate the potential effects of different management regimes on the yield, reproductive output, and length structure on the Mississippi Spotted Seatrout stock, and evaluate the status of the Mississippi Spotted Seatrout stock using a statistical catch-at-age model. The results of this project can be used to better inform and support the management of Spotted Seatrout in Mississippi.</p>","abstract_html":"&lt;p&gt;Spotted Seatrout (&lt;em&gt;Cynoscion nebulosus&lt;/em&gt;) is the most popular recreational inshore fishery in Mississippi coastal waters. Because of the popularity of Spotted Seatrout in Mississippi as a recreational target and the magnitude of harvest, quantitative approaches to describe the population and fishery dynamics of the Mississippi stock are needed to continue the sustainability of the stock. Quantitative approaches to describing stock dynamics are useful because they can help describe population characteristics, assess the current status of the stock, and be used to evaluate alternative management strategies. In this thesis, I use a suite of quantitative methods to describe, evaluate, and assess the population and fishery dynamics of the Mississippi Spotted Seatrout stock. Specifically, I describe the Spotted Seatrout length-at-age relationship using a multi-model approach, evaluate the potential effects of different management regimes on the yield, reproductive output, and length structure on the Mississippi Spotted Seatrout stock, and evaluate the status of the Mississippi Spotted Seatrout stock using a statistical catch-at-age model. The results of this project can be used to better inform and support the management of Spotted Seatrout in Mississippi.&lt;/p&gt;","abstract_has_math":false,"creators":["Dippold, David Arthur"],"institution":null,"degree_name":"Master of Science (MS)","degree_level":"Masters Thesis","degree_discipline":"Coastal Sciences, Gulf Coast Research Laboratory","degree_department":null,"school":null,"contributors":["Robert Leaf","Mark Peterson","Read Hendon"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-05-01T07:00:00Z","date_published":"2016-05-01T07:00:00Z","updated_at":"2026-07-24T05:44:34Z","subjects":["marine fisheries","population dynamics","Gulf of Mexico","tag-recapture","Population Biology"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://aquila.usm.edu/masters_theses/174","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Robert Leaf","Mark Peterson","Read Hendon"]},{"key":"dc:creator","label":"Author","values":["Dippold, David Arthur"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2016-03-29T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Coastal Sciences, Gulf Coast Research Laboratory"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["marine fisheries","population dynamics","Gulf of Mexico","tag-recapture","Population Biology"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://aquila.usm.edu/masters_theses/174"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Spotted Seatrout (<em>Cynoscion nebulosus</em>) is the most popular recreational inshore fishery in Mississippi coastal waters. Because of the popularity of Spotted Seatrout in Mississippi as a recreational target and the magnitude of harvest, quantitative approaches to describe the population and fishery dynamics of the Mississippi stock are needed to continue the sustainability of the stock. Quantitative approaches to describing stock dynamics are useful because they can help describe population characteristics, assess the current status of the stock, and be used to evaluate alternative management strategies. In this thesis, I use a suite of quantitative methods to describe, evaluate, and assess the population and fishery dynamics of the Mississippi Spotted Seatrout stock. Specifically, I describe the Spotted Seatrout length-at-age relationship using a multi-model approach, evaluate the potential effects of different management regimes on the yield, reproductive output, and length structure on the Mississippi Spotted Seatrout stock, and evaluate the status of the Mississippi Spotted Seatrout stock using a statistical catch-at-age model. The results of this project can be used to better inform and support the management of Spotted Seatrout in Mississippi.</p>"]},{"key":"dc:title","label":"Title","values":["Fishery and Population Dynamics of Mississippi’s Spotted Seatrout"]}]}],"canonical_facts":{"dc:contributor":["Robert Leaf","Mark Peterson","Read Hendon"],"dc:creator":["Dippold, David Arthur"],"dc:date.available":["2016-03-29T07:00:00Z"],"dc:description.abstract":["<p>Spotted Seatrout (<em>Cynoscion nebulosus</em>) is the most popular recreational inshore fishery in Mississippi coastal waters. Because of the popularity of Spotted Seatrout in Mississippi as a recreational target and the magnitude of harvest, quantitative approaches to describe the population and fishery dynamics of the Mississippi stock are needed to continue the sustainability of the stock. Quantitative approaches to describing stock dynamics are useful because they can help describe population characteristics, assess the current status of the stock, and be used to evaluate alternative management strategies. In this thesis, I use a suite of quantitative methods to describe, evaluate, and assess the population and fishery dynamics of the Mississippi Spotted Seatrout stock. Specifically, I describe the Spotted Seatrout length-at-age relationship using a multi-model approach, evaluate the potential effects of different management regimes on the yield, reproductive output, and length structure on the Mississippi Spotted Seatrout stock, and evaluate the status of the Mississippi Spotted Seatrout stock using a statistical catch-at-age model. The results of this project can be used to better inform and support the management of Spotted Seatrout in Mississippi.</p>"],"dc:identifier":["https://aquila.usm.edu/masters_theses/174"],"dc:subject":["marine fisheries","population dynamics","Gulf of Mexico","tag-recapture","Population Biology"],"dc:title":["Fishery and Population Dynamics of Mississippi’s Spotted Seatrout"],"thesis:degree_discipline":["Coastal Sciences, Gulf Coast Research Laboratory"],"thesis:degree_level":["Masters Thesis"],"thesis:degree_name":["Master of Science (MS)"]},"updated_at":"2026-07-24T05:44:34Z"}