This study investigates the movement and harvest dynamics of the Gulf Menhaden Brevoortia patronus fishery. The fishery-dependent data collected by NOAA (years 2006-2009 and 2011) describe vessel-specific information on catch locations (latitude and longitude) and magnitude of harvest in metric tons (mt). A series of probability distribution functions (PDFs) were fit to the frequency distributions of number of harvests per day (Poisson), between-harvest distances (gamma), and harvest magnitude (log-normal). These analyses were used to inform an individual-based model (IBM). The IBM was run under several different spatial restriction regimes, including (1) current regulations in Texas, Louisiana, Mississippi, and Alabama; (2) additional restrictions off the coast of Jackson County, MS; (3) an extension of current regulations to 2.6 km (two miles) from shore; and (4) closures of all Mississippi waters. This study describes fleet dynamics of one of the more important commercial fisheries in the region and illustrates how they can be simulated using a spatially-explicit IBM
","abstract_html":"<p>This study investigates the movement and harvest dynamics of the Gulf Menhaden <em>Brevoortia patronus</em> fishery. The fishery-dependent data collected by NOAA (years 2006-2009 and 2011) describe vessel-specific information on catch locations (latitude and longitude) and magnitude of harvest in metric tons (mt). A series of probability distribution functions (PDFs) were fit to the frequency distributions of number of harvests per day (Poisson), between-harvest distances (gamma), and harvest magnitude (log-normal). These analyses were used to inform an individual-based model (IBM). The IBM was run under several different spatial restriction regimes, including (1) current regulations in Texas, Louisiana, Mississippi, and Alabama; (2) additional restrictions off the coast of Jackson County, MS; (3) an extension of current regulations to 2.6 km (two miles) from shore; and (4) closures of all Mississippi waters. This study describes fleet dynamics of one of the more important commercial fisheries in the region and illustrates how they can be simulated using a spatially-explicit IBM</p>","abstract_has_math":false,"creators":["Trigg, Robert D., III"],"institution":null,"degree_name":"Master of Science (MS)","degree_level":"Masters Thesis","degree_discipline":"Ocean Science and Technology","degree_department":null,"school":null,"contributors":["Robert Leaf","Wei Wu","Mark Peterson"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-12-01T08:00:00Z","date_published":"2017-12-01T08:00:00Z","updated_at":"2026-07-24T05:44:50Z","subjects":["ibm","abm","spatial network","graph"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://aquila.usm.edu/masters_theses/328","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Robert Leaf","Wei Wu","Mark Peterson"]},{"key":"dc:creator","label":"Author","values":["Trigg, Robert D., III"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2017-10-18T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Ocean Science and Technology"]},{"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":["ibm","abm","spatial network","graph"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://aquila.usm.edu/masters_theses/328"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study investigates the movement and harvest dynamics of the Gulf Menhaden Brevoortia patronus fishery. The fishery-dependent data collected by NOAA (years 2006-2009 and 2011) describe vessel-specific information on catch locations (latitude and longitude) and magnitude of harvest in metric tons (mt). A series of probability distribution functions (PDFs) were fit to the frequency distributions of number of harvests per day (Poisson), between-harvest distances (gamma), and harvest magnitude (log-normal). These analyses were used to inform an individual-based model (IBM). The IBM was run under several different spatial restriction regimes, including (1) current regulations in Texas, Louisiana, Mississippi, and Alabama; (2) additional restrictions off the coast of Jackson County, MS; (3) an extension of current regulations to 2.6 km (two miles) from shore; and (4) closures of all Mississippi waters. This study describes fleet dynamics of one of the more important commercial fisheries in the region and illustrates how they can be simulated using a spatially-explicit IBM
"]},{"key":"dc:title","label":"Title","values":["Examining Movement Dynamics of the Gulf Menhaden Fishery Using an Individual-based Model"]}]}],"canonical_facts":{"dc:contributor":["Robert Leaf","Wei Wu","Mark Peterson"],"dc:creator":["Trigg, Robert D., III"],"dc:date.available":["2017-10-18T07:00:00Z"],"dc:description.abstract":["This study investigates the movement and harvest dynamics of the Gulf Menhaden Brevoortia patronus fishery. The fishery-dependent data collected by NOAA (years 2006-2009 and 2011) describe vessel-specific information on catch locations (latitude and longitude) and magnitude of harvest in metric tons (mt). A series of probability distribution functions (PDFs) were fit to the frequency distributions of number of harvests per day (Poisson), between-harvest distances (gamma), and harvest magnitude (log-normal). These analyses were used to inform an individual-based model (IBM). The IBM was run under several different spatial restriction regimes, including (1) current regulations in Texas, Louisiana, Mississippi, and Alabama; (2) additional restrictions off the coast of Jackson County, MS; (3) an extension of current regulations to 2.6 km (two miles) from shore; and (4) closures of all Mississippi waters. This study describes fleet dynamics of one of the more important commercial fisheries in the region and illustrates how they can be simulated using a spatially-explicit IBM
"],"dc:identifier":["https://aquila.usm.edu/masters_theses/328"],"dc:subject":["ibm","abm","spatial network","graph"],"dc:title":["Examining Movement Dynamics of the Gulf Menhaden Fishery Using an Individual-based Model"],"thesis:degree_discipline":["Ocean Science and Technology"],"thesis:degree_level":["Masters Thesis"],"thesis:degree_name":["Master of Science (MS)"]},"updated_at":"2026-07-24T05:44:50Z"}