{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/106966"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/106966","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Optimal bioeconomic management of changing marine resources","abstract":"Marine populations are increasingly subjected to changing conditions whether through harvest or through broad-scale habitat change. Historically, few models have accounted for such trends over time, and even fewer have been used to study how trends affect optimal harvests. I developed and analyzed several models that explore, first, endogenous change caused by harvest and, second, exogenous change from factors (such as rising ocean temperatures) outside harvesters' control. In these models, I characterized the profit-or yield-maximizing strategy when harvesting damages habitat in a multispecies fishery, when harvest creates a selective pressure on dispersal, and when rising temperatures cause changes in vital rates. I explore this last case in both deterministic and stochastic environments, and also allow the harvester to learn about unknown parameters of the stock recruitment model while harvesting. I also develop an unambiguous definition of and describe a statistical test for a shift in a species' spatial distribution. My results demonstrate that optimal harvesting strategies in a changing environment differ in important ways from optimal strategies in a constant environment.","abstract_html":"Marine populations are increasingly subjected to changing conditions whether through harvest or through broad-scale habitat change. Historically, few models have accounted for such trends over time, and even fewer have been used to study how trends affect optimal harvests. I developed and analyzed several models that explore, first, endogenous change caused by harvest and, second, exogenous change from factors (such as rising ocean temperatures) outside harvesters' control. In these models, I characterized the profit-or yield-maximizing strategy when harvesting damages habitat in a multispecies fishery, when harvest creates a selective pressure on dispersal, and when rising temperatures cause changes in vital rates. I explore this last case in both deterministic and stochastic environments, and also allow the harvester to learn about unknown parameters of the stock recruitment model while harvesting. I also develop an unambiguous definition of and describe a statistical test for a shift in a species' spatial distribution. My results demonstrate that optimal harvesting strategies in a changing environment differ in important ways from optimal strategies in a constant environment.","abstract_has_math":false,"creators":["Moberg, Emily Alison"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Joint Program in Oceanography/Applied Ocean Science and Engineering.","school":null,"contributors":[],"advisors":["Michael G. Neubert."],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016","date_published":"2016","updated_at":"2026-07-22T22:21:59Z","subjects":["Joint Program in Oceanography/Applied Ocean Science and Engineering.","Biology.","Woods Hole Oceanographic Institution."],"languages":["eng"],"rights":["MIT theses are protected by copyright. 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D., Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Department of Biology; and the Woods Hole Oceanographic Institution), 2016.","Cataloged from PDF version of thesis.","Includes bibliographical references."]},{"key":"dc:description.abstract","label":"Abstract","values":["Marine populations are increasingly subjected to changing conditions whether through harvest or through broad-scale habitat change. Historically, few models have accounted for such trends over time, and even fewer have been used to study how trends affect optimal harvests. I developed and analyzed several models that explore, first, endogenous change caused by harvest and, second, exogenous change from factors (such as rising ocean temperatures) outside harvesters' control. In these models, I characterized the profit-or yield-maximizing strategy when harvesting damages habitat in a multispecies fishery, when harvest creates a selective pressure on dispersal, and when rising temperatures cause changes in vital rates. I explore this last case in both deterministic and stochastic environments, and also allow the harvester to learn about unknown parameters of the stock recruitment model while harvesting. I also develop an unambiguous definition of and describe a statistical test for a shift in a species' spatial distribution. My results demonstrate that optimal harvesting strategies in a changing environment differ in important ways from optimal strategies in a constant environment."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Ph. D."]},{"key":"dc:title","label":"Title","values":["Optimal bioeconomic management of changing marine resources"]}]}],"canonical_facts":{"dc:contributor.advisor":["Michael G. Neubert."],"dc:contributor.department":["Joint Program in Oceanography/Applied Ocean Science and Engineering.","Massachusetts Institute of Technology. Department of Biology.","Woods Hole Oceanographic Institution."],"dc:contributor.other":["Woods Hole Oceanographic Institution."],"dc:creator":["Moberg, Emily Alison"],"dc:date.accessioned":["2017-02-16T16:44:11Z"],"dc:date.available":["2017-02-16T16:44:11Z"],"dc:date.issued":["2016"],"dc:description":["Thesis: Ph. D., Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Department of Biology; and the Woods Hole Oceanographic Institution), 2016.","Cataloged from PDF version of thesis.","Includes bibliographical references."],"dc:description.abstract":["Marine populations are increasingly subjected to changing conditions whether through harvest or through broad-scale habitat change. Historically, few models have accounted for such trends over time, and even fewer have been used to study how trends affect optimal harvests. I developed and analyzed several models that explore, first, endogenous change caused by harvest and, second, exogenous change from factors (such as rising ocean temperatures) outside harvesters' control. In these models, I characterized the profit-or yield-maximizing strategy when harvesting damages habitat in a multispecies fishery, when harvest creates a selective pressure on dispersal, and when rising temperatures cause changes in vital rates. I explore this last case in both deterministic and stochastic environments, and also allow the harvester to learn about unknown parameters of the stock recruitment model while harvesting. I also develop an unambiguous definition of and describe a statistical test for a shift in a species' spatial distribution. 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