Using Negative Binomial Models to Estimate Future Fishery Interactions with Endangered Species

Conference Proceedings Or Journal

Public Deposited

Download PDF

Citeable URL: https://ir.library.oregonstate.edu/concern/conference_proceedings_or_journals/6h441017j

Descriptions

Attribute Name	Values
Creator	Hartley, Marcus
Abstract	As fisheries management is increasingly required to consider the full impacts of their operations, this work seeks to define the relationship between fishing effort and interactions with listed endangered species. The study employs logbook data containing over 64,000 sets, matched with observer data from 2008 to 2015 in an undisclosed purse seine tuna fishery. Specifically, we estimate a series of family specific, negative binomial models to account for over-dispersed outcomes, while controlling for factors such as the use of fish-aggregating devises, set location, proximate coastline, season, and water temperature. The study results show statistically significant relationships between observed interactions with endangered species and fishing effort, as well as with other independent variables. The results of the study suggest that the approach can be used to assess the probabilities of relatively rare interactions between fisheries and endangered species, or with other species of particular concern.
Resource Type	Presentation
Date Issued	2018
Conference Name	International Institute of Fisheries Economics & Trade
Conference Location	Seattle, Washington, USA
Rights Statement	In Copyright
Publisher	International Institute of Fisheries Economics & Trade
Peer Reviewed	No
Language	English [eng]
Accessibility Feature	unknown

Parents:

This work has no parents.

In Collection:

Thumbnail	Title	Date Uploaded	Visibility	Actions
	Hartley602PPT.pdf	2019-06-03	Public	Download