Bycatch in the shrimp fishery became of particular concern in the 1980s during the peak of shrimp harvest in the northern Gulf of Mexico. Shrimp bycatch is of major importance because the majority of catch in the fishery is not intended target species of commercial shrimp, and most of the additional bycatch is returned to the sea dead or dying, inducing higher rates of mortality. This study was developed to assess the potential ecosystem effects of shrimp harvest on thirty selected species/species groups commonly encountered within the shrimp fishery as bycatch. Delta-lognormal modeling (DLM) was used to determine the relative abundance of these species over a twenty-three year time period from 1987-2009 using SEAMAP survey data collected by the National Marine Fisheries Service.
Six covariates were used in each submodel during the DLM process and additional type III tests for the effects of shrimp effort were conducted (p
In addition, three of the selected Sciaenids were aged, but only Micropogonias undulatus was able to be used for a comparative analysis to available historic data to determine changes in age and growth from the peak of shrimping in 1985 (Barger) to 2009. There was a statistical difference in age and growth parameters (p
","abstract_html":"<p>Bycatch in the shrimp fishery became of particular concern in the 1980s during the peak of shrimp harvest in the northern Gulf of Mexico. Shrimp bycatch is of major importance because the majority of catch in the fishery is not intended target species of commercial shrimp, and most of the additional bycatch is returned to the sea dead or dying, inducing higher rates of mortality. This study was developed to assess the potential ecosystem effects of shrimp harvest on thirty selected species/species groups commonly encountered within the shrimp fishery as bycatch. Delta-lognormal modeling (DLM) was used to determine the relative abundance of these species over a twenty-three year time period from 1987-2009 using SEAMAP survey data collected by the National Marine Fisheries Service.</p> <p>Six covariates were used in each submodel during the DLM process and additional type III tests for the effects of shrimp effort were conducted (p</p> <p>In addition, three of the selected Sciaenids were aged, but only <em>Micropogonias undulatus</em> was able to be used for a comparative analysis to available historic data to determine changes in age and growth from the peak of shrimping in 1985 (Barger) to 2009. There was a statistical difference in age and growth parameters (p</p>","abstract_has_math":false,"creators":["Odom, Allison Renee"],"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":["Chester F. Rakocinski","Richard S. Fulford","Gary Walter Ingram, Jr."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-08-01T07:00:00Z","date_published":"2015-08-01T07:00:00Z","updated_at":"2026-07-24T05:44:34Z","subjects":["shrimp bycatch","delta-lognormal modelling","northern Gulf of Mexico","indices of abundance","Atlantic croaker","Marine Biology"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://aquila.usm.edu/masters_theses/139","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Chester F. Rakocinski","Richard S. Fulford","Gary Walter Ingram, Jr."]},{"key":"dc:creator","label":"Author","values":["Odom, Allison Renee"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2015-06-29T07:00:00Z"]},{"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":["shrimp bycatch","delta-lognormal modelling","northern Gulf of Mexico","indices of abundance","Atlantic croaker","Marine Biology"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://aquila.usm.edu/masters_theses/139"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Bycatch in the shrimp fishery became of particular concern in the 1980s during the peak of shrimp harvest in the northern Gulf of Mexico. Shrimp bycatch is of major importance because the majority of catch in the fishery is not intended target species of commercial shrimp, and most of the additional bycatch is returned to the sea dead or dying, inducing higher rates of mortality. This study was developed to assess the potential ecosystem effects of shrimp harvest on thirty selected species/species groups commonly encountered within the shrimp fishery as bycatch. Delta-lognormal modeling (DLM) was used to determine the relative abundance of these species over a twenty-three year time period from 1987-2009 using SEAMAP survey data collected by the National Marine Fisheries Service.
Six covariates were used in each submodel during the DLM process and additional type III tests for the effects of shrimp effort were conducted (p
In addition, three of the selected Sciaenids were aged, but only Micropogonias undulatus was able to be used for a comparative analysis to available historic data to determine changes in age and growth from the peak of shrimping in 1985 (Barger) to 2009. There was a statistical difference in age and growth parameters (p
"]},{"key":"dc:title","label":"Title","values":["Analyses of Indices of Abundance for Important Groundfish Species in the Northern Gulf of Mexico from 1987-2009, Relative to Shrimp Bycatch; with Age and Growth of Three Sciaenid Species"]}]}],"canonical_facts":{"dc:contributor":["Chester F. Rakocinski","Richard S. Fulford","Gary Walter Ingram, Jr."],"dc:creator":["Odom, Allison Renee"],"dc:date.available":["2015-06-29T07:00:00Z"],"dc:description.abstract":["Bycatch in the shrimp fishery became of particular concern in the 1980s during the peak of shrimp harvest in the northern Gulf of Mexico. Shrimp bycatch is of major importance because the majority of catch in the fishery is not intended target species of commercial shrimp, and most of the additional bycatch is returned to the sea dead or dying, inducing higher rates of mortality. This study was developed to assess the potential ecosystem effects of shrimp harvest on thirty selected species/species groups commonly encountered within the shrimp fishery as bycatch. Delta-lognormal modeling (DLM) was used to determine the relative abundance of these species over a twenty-three year time period from 1987-2009 using SEAMAP survey data collected by the National Marine Fisheries Service.
Six covariates were used in each submodel during the DLM process and additional type III tests for the effects of shrimp effort were conducted (p
In addition, three of the selected Sciaenids were aged, but only Micropogonias undulatus was able to be used for a comparative analysis to available historic data to determine changes in age and growth from the peak of shrimping in 1985 (Barger) to 2009. There was a statistical difference in age and growth parameters (p
"],"dc:identifier":["https://aquila.usm.edu/masters_theses/139"],"dc:subject":["shrimp bycatch","delta-lognormal modelling","northern Gulf of Mexico","indices of abundance","Atlantic croaker","Marine Biology"],"dc:title":["Analyses of Indices of Abundance for Important Groundfish Species in the Northern Gulf of Mexico from 1987-2009, Relative to Shrimp Bycatch; with Age and Growth of Three Sciaenid Species"],"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"}