Ichthyoplankton Time Series: A Potential Ocean Observing Network to Provide Indicators of Climate Impacts on Fish Communities along the West Coast of North America

J. Anthony Koslow1, Richard Brodeur2, Janet Duffy-Anderson3, Ian Perry4, Sylvia jimenez Rosenberg5 and Gerardo Aceves5, (1)University of California San Diego, Scripps Institution of Oceanography, La Jolla, CA, United States, (2)NOAA Northwest Fisheries Science Center, Newport Research Station, Newport, OR, United States, (3)NOAA Fisheries, Alaska Fisheries Science Center, Seattle, WA, United States, (4)Pacific Biological Station, Nanaimo, BC, Canada, (5)Centro de Investigacion Cientifica y de Educacion Superior de Ensenada, La Paz, Mexico
Abstract:
Ichthyoplankton time series available from the Bering Sea, Gulf of Alaska and California Current (Oregon to Baja California) provide a potential ocean observing network to assess climate impacts on fish communities along the west coast of North America. Larval fish abundance reflects spawning stock biomass, so these data sets provide indicators of the status of a broad range of exploited and unexploited fish populations. Analyses to date have focused on individual time series, which generally exhibit significant change in relation to climate. Off California, a suite of 24 midwater fish taxa have declined > 60%, correlated with declining midwater oxygen concentrations, and overall larval fish abundance has declined 72% since 1969, a trend based on the decline of predominantly cool-water affinity taxa in response to warming ocean temperatures. Off Oregon, there were dramatic differences in community structure and abundance of larval fishes between warm and cool ocean conditions. Midwater deoxygenation and warming sea surface temperature trends are predicted to continue as a result of global climate change. US, Canadian, and Mexican fishery scientists are now collaborating in a virtual ocean observing network to synthesize available ichthyoplankton time series and compare patterns of change in relation to climate. This will provide regional indicators of populations and groups of taxa sensitive to warming, deoxygenation and potentially other stressors, establish the relevant scales of coherence among sub-regions and across Large Marine Ecosystems, and provide the basis for predicting future climate change impacts on these ecosystems.