4.6 Article

Expected declines in recruitment of walleye pollock (Theragra chalcogramma) in the eastern Bering Sea under future climate change

Journal

ICES JOURNAL OF MARINE SCIENCE
Volume 68, Issue 6, Pages 1284-1296

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/icesjms/fsr022

Keywords

Bering Sea; climate change; forecasting; recruitment; sea surface temperature; statistical downscaling; walleye pollock

Funding

  1. NSF
  2. NPRB

Ask authors/readers for more resources

A statistical model is developed to link recruitment of eastern Bering Sea walleye pollock (Theragra chalcograrnma) to variability in late summer sea surface temperatures and to the biomass of major predators. The model is based on recent advances in the understanding of pollock recruitment, which suggest that warm spring conditions enhance the survival of early larvae, but high temperatures in late summer and autumn are associated with poor feeding conditions for young-of-year pollock and reduced recruitment in the following year. A statistical downscaling approach is used to generate an ensemble of late summer temperature forecasts through 2050, based on a range of IPCC climate projections. These forecasts are used to simulate future recruitment within an age-structured stock projection model that accounts for density-dependent effects (stock recruitment relationship), the estimated effects of temperature and predation, and associated uncertainties. On average, recruitment in 2040-2050 should expectedly decline by 32-58% relative to a random recruitment scenario, depending on assumptions about the temperature relationship, the magnitude of density-dependence, and future changes in predator biomass. The approach illustrated here can be used to evaluate the performance of different management strategies and provide long-term strategic advice to managers confronted with a rapidly changing climate.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available