Vessel dynamics of the Gulf of St. Lawrence snow crab (Chionoecetes opilio) fishery: examining spatial associations and fishing success
| dc.contributor.author | Christie, Kate | |
| dc.contributor.examiningcommittee | Hare, James (Biological Sciences) | en_US |
| dc.contributor.examiningcommittee | Arino, Julien (Mathematics) | en_US |
| dc.contributor.supervisor | Gillis, Darren (Biological Sciences) | en_US |
| dc.date.accessioned | 2018-09-13T15:41:51Z | |
| dc.date.available | 2018-09-13T15:41:51Z | |
| dc.date.issued | 2018-06-22 | en_US |
| dc.date.submitted | 2018-09-03T00:21:46Z | en |
| dc.degree.discipline | Biological Sciences | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| dc.description.abstract | Fleet dynamics are an important, but understudied aspect of fisheries management. The fleet dynamics of the Gulf of St. Lawrence snow crab (Chionoecetes opilio) fishery were examined using two approaches: 1) examining spatial associations based on homeport location, vessel knowledge of the fishery and their impacts on catch rates, and 2) applying an agent-based model to the fishery to examine impact of having pre-season survey information. There were overall higher levels of clustering of vessels who had extensive knowledge of the fishery (traditionals) and the non-traditionals were fishing in similar areas as traditional vessels. Lower levels of clustering were observed among the non-traditional vessels. There were higher total landings with pre-season survey information. Examining how vessels associate gives insight into fleet dynamics, which may be important in management decisions. | en_US |
| dc.description.note | October 2018 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/33348 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.subject | Ecology | en_US |
| dc.subject | Fisheries | en_US |
| dc.subject | Biology | en_US |
| dc.title | Vessel dynamics of the Gulf of St. Lawrence snow crab (Chionoecetes opilio) fishery: examining spatial associations and fishing success | en_US |
| dc.type | master thesis | en_US |