Predicting Great Lakes fish yields: tools and constraints

Canadian Journal of Fisheries and Aquatic Sciences
By: , and 



Prediction of yield is a critical component of fisheries management. The development of sound yield prediction methodology and the application of the results of yield prediction are central to the evolution of strategies to achieve stated goals for Great Lakes fisheries and to the measurement of progress toward those goals. Despite general availability of species yield models, yield prediction for many Great Lakes fisheries has been poor due to the instability of the fish communities and the inadequacy of available data. A host of biological, institutional, and societal factors constrain both the development of sound predictions and their application to management. Improved predictive capability requires increased stability of Great Lakes fisheries through rehabilitation of well-integrated communities, improvement of data collection, data standardization and information-sharing mechanisms, and further development of the methodology for yield prediction. Most important is the creation of a better-informed public that will in turn establish the political will to do what is required.

Publication type Article
Publication Subtype Journal Article
Title Predicting Great Lakes fish yields: tools and constraints
Series title Canadian Journal of Fisheries and Aquatic Sciences
DOI 10.1139/f87-342
Volume 44
Issue Suppl. 2
Year Published 1987
Language English
Publisher NRC Research Press
Contributing office(s) Great Lakes Science Center
Description 6 p.
First page 411
Last page 416
Online Only (Y/N) N
Additional Online Files (Y/N) N
Google Analytic Metrics Metrics page
Additional publication details