Salish Sea Chinook salmon exhibit weaker coherence in early marine survival trends than coastal populations
Casey P. Ruff1 | Joseph H. Anderson2 | Iris M. Kemp3 | Neala W. Kendall2 | Peter A. Mchugh2,4 | Antonio Velez-Espino5 | Correigh M. Greene6 | Marc Trudel5,7 | Carrie A. Holt5 | Kristen E. Ryding2 | Kit Rawson8
1Skagit River System Cooperative, La Conner, WA, U.S.A.
2Washington Department of Fish and Wildlife, Olympia, WA, U.S.A.
3Long Live the Kings, Seattle, WA, U.S.A.
4Department of Watershed Sciences, Utah State University & Eco Logical Research, Logan, UT, U.S.A.
5Fisheries and Oceans Canada, Pacific Biological Station, Nanaimo, BC, Canada
6National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Northwest Fisheries Science Center, Fish Ecology Division, Seattle, WA, U.S.A.
7Department of Biology, University of Victoria, Victoria, BC, Canada
8Swan Ridge Consulting, Mount Vernon, WA, U.S.A.
Correspondence
Casey P. Ruff, Skagit River System
Cooperative, La Conner, WA, U.S.A.
Email:
cruff@skagitcoop.org
Funding information
Pacific Salmon Commission’s Southern
Endowment Fund
Abstract
Identifying factors that influence anadromous Pacific salmon (Oncorhynchus spp.)
population dynamics is complicated by their diverse life histories and large geographic
range. Over the last several decades, Chinook salmon (O. tshawytscha) populations
from coastal areas and the Salish Sea have exhibited substantial variability in
abundance. In some cases, populations within the Salish Sea have experienced persistent
declines that have not rebounded. We analyzed a time series of early marine
survival from 36 hatchery Chinook salmon populations spanning ocean entry years
1980–2008 to quantify spatial and temporal coherence in survival. Overall, we
observed higher inter-population variability in survival for Salish Sea populations
than non-Salish Sea populations. Annual survival patterns of Salish Sea populations
covaried over smaller spatial scales and exhibited less synchrony among proximate
populations relative to non-Salish Sea populations. These results were supported by
multivariate autoregressive state space (MARSS) models which predominantly identified
region-scale differences in survival trends between northern coastal, southern
coastal, Strait of Georgia, and Puget Sound population groupings. Furthermore,
Dynamic Factor Analysis (DFA) of regional survival trends showed that survival of
southern coastal populations was associated with the North Pacific Gyre Oscillation,
a large-scale ocean circulation pattern,
whereas survival of Salish Sea populations
was not. In summary, this study demonstrates that survival patterns in Chinook salmon
are likely determined by a complex hierarchy of processes operating across a
broad range in spatial and temporal scales, presenting challenges to the management
of mixed-stock fisheries.