Multivariate time series analysis of the Canadian fisheries system in Lake Superior

Y. Cohen, J. N. Stone

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Multivariate, autoregressive (ARMA) models were identified. The structure of the models indicate that 1) within the system, AR processes, as opposed to MA processes, were of overrriding importance; 2) intraspecific interactions (inferred from data on CPUE) were more prevalent than interspecific interactions; 3) interactions within the system occurred with lags of 1, 4, 12, 24, 25, 28, and 36 mo; 4) some of the trophic relationships among the fish species were revealed by the models; and 5) CPUE time series of lake trout Salvelinus namaychush affected, but was not affected by, the CPUE time series of other species. -from Authors

Original languageEnglish (US)
Pages (from-to)171-181
Number of pages11
JournalCanadian Journal of Fisheries and Aquatic Sciences
Volume44
Issue numberSuppl.2
StatePublished - Jan 1 1987

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