Reading the crystal ball: using multi-species stock-assessment models to predict climate-driven changes to recruitment, mortality, and biological reference points for Bering Sea (AK) fisheries

Kirsten Holsman
Alaska Fisheries Science Center
March 12, 2014

Climate change is expected to impact marine ecosystems globally, with largest changes anticipated for arctic and sub-arctic ecosystems. The 2°C projected increase in mean summer sea-surface temperature for Alaskan marine ecosystems may alter trophic demand, predator and prey distributions, and overall system productivity. We use multi-species food-web and assessment models to link climate-driven changes in physical and trophodynamic conditions to recruitment and survival to help distinguish fishery impacts from large-scale climate pressures. We first used a Regional Ocean Modeling System (ROMS) model coupled to a Nutrient-Phytoplankton-Zooplankton (NPZ) model to produce detailed hindcasts for the period 1970-2012. These results modulate species interactions in a climate-driven Multispecies Statistical Model (MSM) for three groundfish species from the Bering Sea (walleye pollock, Pacific cod, arrowtooth flounder). We first fit the model to hindcast-extracted time series then used downscaled IPCC scenario-driven ROMS/NPZ model estimates of temperature, circulation, and zooplankton abundance to project MSM forward to 2040. Evaluation of differing climate effects on population projections and predator-prey interactions under various IPCC forecast scenarios, recruitment models, and management strategies will be discussed.

Posted in Fisheries Think Tank.

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