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Detecting temporal trends and environmentally-driven changes in the spatial distribution of bottom fishes and crabs on the eastern Bering Sea shelf
Institution:1. Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA;2. Ocean, Earth, and Atmospheric Sciences, Old Dominion University, Norfolk, Virginia, USA;3. Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine, USA;4. Alaska Fisheries Science Center, NOAA, Seattle, Washington, USA;5. Alaska Fisheries Science Center, NOAA, Juneau, Alaska, USA;6. Pacific Marine Environmental Laboratory, NOAA, Seattle, Washington, USA;7. North Pacific Research Board, Anchorage, Alaska, USA;1. Alaska Fisheries Science Center, National Marine Fisheries Service, Juneau, AK, USA;2. Alaska Fisheries Science Center, National Marine Fisheries Service, Seattle, WA, USA;3. School of Oceanography, University of Washington, Seattle, WA, USA;1. Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 17109 Point Lena Loop Rd., Juneau, AK 99801, USA;2. School of Fisheries and Ocean Sciences, University of Alaska, 17103 Point Lena Loop Rd., Juneau, AK 99801, USA;3. University of Tromsø, P.O. Box 6050 Langnes, 9037 Tromsø, Norway;4. Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 7600 Sand Point Way NE, Seattle, WA 98115, USA;5. Pacific Marine Environmental Laboratory, Oceans and Atmospheric Research, National Oceanic and Atmospheric Administration, 7600 Sand Point Way NE, Seattle, WA 98115, USA;6. School of Fisheries and Ocean Sciences, University of Alaska Fairbanks, P.O. Box 757220, Fairbanks, AK 99775-7220, USA;7. US Fish and Wildlife Service, 1011 East Tudor Road, Anchorage, AK 99503, USA;1. Fishery Resource Analysis and Monitoring Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2725 Montlake Boulevard East, Seattle, WA 98112, United States;2. Fishery Resource Analysis and Monitoring Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2032 S.E. Marine Science Drive, Newport, OR 97365, United States;1. School of Aquatic and Fishery Sciences, University of Washington, Box 355020, Seattle, WA, 98195, USA;2. Fisheries Resource Assessment and Monitoring Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2725 Montlake Blvd. E., Seattle, WA, 98112, USA;1. Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, USA;2. School of Oceanography, University of Washington, Seattle, WA, USA;3. Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Juneau, AK, USA;4. Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, WA, USA
Abstract:This study uses a 30-year time series of standardized bottom trawl survey data (1982–2011) from the eastern Bering Sea shelf to model patterns of summer spatial distribution for various bottom fishes and crabs in response to changes in the areal extent of the cold pool, time lag between surveys, and fluctuations in population abundance. This investigation is the first to include data for the 2006–2010 cold period and to use between-year comparisons of local and shelf-wide spatial indices to test specific responses to three different isothermal boundaries within the cold pool. Distributional shifts in population varied considerably among species and directional vectors for some species were greater in magnitude to the east or west than to the north or south; however, in general, eastern Bering Sea shelf populations shifted southward in response to the increasing cold pool size, and after accounting for differences in temperature and population abundance, there was still a temporal northward shift in populations over the last three decades despite the recent cooling trend. Model results for local and shelf-wide indices showed that survey time lag and cold pool extent had a greater effect on spatial distribution than population abundance, suggesting that density-independent mechanisms play a major role in shaping distribution patterns on the eastern Bering Sea shelf. The area enclosed by the 1 °C isotherm most commonly affects both local and shelf-wide spatial indices suggesting that 1 °C is a more important boundary for describing temperature preferences of eastern Bering Sea bottom fishes and crabs than is the 2 °C isotherm used for designating the physical boundary for the cold pool.
Keywords:Spatial distribution  Population shift  Cold pool  Bottom fish  Crab  Bering Sea shelf
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