RT Dissertation/Thesis
T1 An Evaluation of International Policies and Local Management Strategies to Reduce Marine Mammal Bycatch
A1 Verutes, Gregory Michael
K1 fisheries management
K1 species distribution models
K1 Maxent
K1 seasonality
K1 species-fishery interactions
K1 GIS
K1 bycatch risk assessment
K1 data visualization and uncertainty
AB Bycatch, the incidental capture of non-target species in active fishing gear,is the most significant human threat to coastal marine mammals and a severe conservation problem.Characterizing the effects of bycatch through space and time is similar to finding a needle in a haystack: relativelysmall populations and limited interactions with dispersed fishing vessels. The behaviors of both parties areunpredictable, and therefore a challenge for researchers to collect data and managers to effectively manage.Further adding to the problem, a lack of risk frameworks that can integrate and visualize existing datasets hashindered the ability to describe and quantify bycatch risk. There are spatio-temporal patterns in bycatch occurrencethat can be identified, even in data-limited SSF. Therefore, is it possible to design and apply an assessmentframework for evaluating harmful interactions between marine mammals and fisheries using existing informationonly? This is the main question I attempt to answer in this thesis. This is a knowledge gap worth exploring becauseocean data and the systems developed to monitor marine ecosystems are now more sophisticated and cheaper todeploy. More broadly, I investigate the ways in which international policies have, or have not, translated intoeffective management strategies for the monitoring and mitigation of marine mammal bycatch in data-limitedfisheries.
YR 2022
FD 2022
LK http://hdl.handle.net/10347/28968
UL http://hdl.handle.net/10347/28968
LA eng
DS Minerva
RD 22 abr 2026