Toward biophysical synergy: Investigating advection along the Polar Front to identify factors influencing Alaska sablefish recruitment

Shotwell, S. Kalei; Hanselman, Dana H.; Belkin, Igor M.

doi:10.1016/j.dsr2.2012.08.024

Cited by 27 publications

(29 citation statements)

References 38 publications

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“…Sablefish larvae are found in these surface waters where most of this offshore transport occurs. However, sablefish larvae develop large pectoral fins suggesting that they may have evolved to control their position in the water column (Kendall & Matarese, ; Shotwell et al., ), and many fish larvae are strong swimmers, especially prior to settlement (Montgomery et al., ). Thus, rapid development earlier in the season (warm waters during DD egg ) may allow sablefish larvae to develop the swimming capacity to utilize high quality food resources later in the year (DD larv , indexed by cold water) while maintaining position in the water column and staying closer to appropriate settlement habitat.…”

Section: Discussionmentioning

confidence: 99%

Oceanographic drivers of sablefish recruitment in the California Current

Tolimieri

Haltuch

Lee

et al. 2018

Fisheries Oceanography

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Oceanographic processes and ecological interactions can strongly influence recruitment success in marine fishes. Here, we develop an environmental index of sablefish recruitment with the goal of elucidating recruitment‐environment relationships and informing stock assessment. We start with a conceptual life‐history model for sablefish Anoplopoma fimbria on the US west coast to generate stage‐ and spatio‐temporally‐specific hypotheses regarding the oceanographic and biological variables likely influencing sablefish recruitment. Our model includes seven stages from pre‐spawn female condition through benthic recruitment (age‐0 fish) for the northern portion of the west coast U.S. sablefish stock (40°N–50°N). We then fit linear models and use model comparison to select predictors. We use residuals from the stock‐recruitment relationship in the 2015 sablefish assessment as the dependent variable (thus removing the effect of spawning stock biomass). Predictor variables were drawn primarily from ROMS model outputs for the California Current Ecosystem. We also include indices of prey and predator abundance and freshwater input. Five variables explained 57% of the variation in recruitment not accounted for by the stock‐recruitment relationship in the sablefish assessment. Recruitment deviations were positively correlated with (i) colder conditions during the spawner preconditioning period, (ii) warmer water temperatures during the egg stage, (iii) stronger cross‐shelf transport to near‐shore nursery habitats during the egg stage, (iv) stronger long‐shore transport to the north during the yolk‐sac stage, and (v) cold surface water temperatures during the larval stage. This result suggests that multiple mechanisms likely affect sablefish recruitment at different points in their life history.

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Section: Discussionmentioning

confidence: 99%

Oceanographic drivers of sablefish recruitment in the California Current

Tolimieri

Haltuch

Lee

et al. 2018

Fisheries Oceanography

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“…Relating annual fish movement to changes in environmental conditions could also be tested directly in the sablefish stock assessment model and may be easier to link changes in movement to biological mechanisms. These relationships could potentially improve harvest forecasts, which could aid management and stakeholder planning (King et al 2001;Shotwell et al 2014).…”

Section: Implications For Fisheries Managementmentioning

confidence: 98%

Move it or lose it: movement and mortality of sablefish tagged in Alaska

HanselmanDana

HeifetzJonathan

EchaveKaty

et al. 2015

Can. J. Fish. Aquat. Sci.

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A basic step in understanding the dynamics of a fish population is to quantify movement and mortality rates. Conventional mark-recapture experiments have provided the foundation for studies on animal movement, particularly for fish. Previous studies have shown rapid mixing of sablefish (Anoplopoma fimbria) among fishery regulatory areas, with the pattern of movement related to fish size. Over 300 000 tag releases in Alaska and over 27 000 tag recoveries from 1979 to 2009 were analyzed. We used a Markov model to quantify annual movement probabilities among areas for three size groups of sablefish. The negative-binomial likelihood was used to model the tag-recovery data because of significant overdispersion. Annual movement probabilities were high, ranging from 10% to 88% depending on area of occupancy at each time step and size group. Overall, movement probabilities were very different between areas of occupancy and moderately different between size groups. Estimated annual movement of small sablefish from the central Gulf of Alaska had the reverse pattern of a previous study, with 29% moving westward and 39% moving eastward. Movement probabilities also varied annually, with decreasing movement until the late 1990s and increasing movement until 2009. Year-specific magnitude in movement probability of large fish was highly negatively correlated with female spawning biomass estimates from the federal stock assessment. Mean mortality estimates from time at liberty were similar to the federal stock assessment. Incorporating these tag-recovery and movement data into a fully age-structured spatial stock assessment model will inform harvest apportionment strategies to conserve spawning biomass and maximize future yields.

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“…Previous studies have primarily focused on environmental conditions during the winter prior to and during the age-0 stage (McFarlane and Beamish 1992;Sigler et al 2001;Shotwell et al 2014). We found that significant indicators for the estimated recruitment of age-2 Sablefish included late-summer SST, late-summer PP, and a juvenile Pink Salmon abundance index during age 0.…”

Section: Discussionmentioning

confidence: 53%

“…Sablefish Anoplopoma fimbria in Alaska have had several high recruitment events during periods of low observed spawning biomass; therefore, recruitment does not appear to be closely related to the level of spawning biomass and is more likely related to environmental effects on survival during early life stages (Hanselman et al 2013). Sablefish recruitment was positively correlated with the intensity of the winter Aleutian low-pressure system (hereafter, Aleutian Low; McFarlane and Beamish 1992) and associated conditions, such as cooler-than-average winter sea surface temperatures (SSTs) in the central North Pacific and warmer-than-average summer sea temperatures in the Gulf of Alaska (GOA; Sigler et al 2001;Shotwell et al 2014). One hypothesized mechanism is an increase in primary productivity (PP) from phytoplankton blooms and the subsequent effects on survival of and prey availability for Sablefish in nearshore rearing habitats (Shotwell et al 2014).…”

mentioning

confidence: 99%

“…Sablefish recruitment was positively correlated with the intensity of the winter Aleutian low-pressure system (hereafter, Aleutian Low; McFarlane and Beamish 1992) and associated conditions, such as cooler-than-average winter sea surface temperatures (SSTs) in the central North Pacific and warmer-than-average summer sea temperatures in the Gulf of Alaska (GOA; Sigler et al 2001;Shotwell et al 2014). One hypothesized mechanism is an increase in primary productivity (PP) from phytoplankton blooms and the subsequent effects on survival of and prey availability for Sablefish in nearshore rearing habitats (Shotwell et al 2014). In the present study, we explore the value of using salmon survey and commercial fishery data from Southeast Alaska (SEAK) to index nearshore rearing conditions and recruitment of Alaskan Sablefish.…”

mentioning

confidence: 99%

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Using Salmon Survey and Commercial Fishery Data to Index Nearshore Rearing Conditions and Recruitment of Alaskan Sablefish

et al. 2015

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We examined physical and biological indices from Pacific salmon Oncorhynchus spp. surveys and commercial fisheries to index nearshore rearing habitats used by age‐0 and age‐1 Sablefish Anoplopoma fimbria in the eastern Gulf of Alaska and as indicators for their recruitment to age2 during the period 2001–2013. The best‐fitting general linear model used to estimate age‐2 Sablefish recruitment included chlorophyll‐a concentration during late August and an index of juvenile Pink Salmon O. gorbuscha abundance during the age‐0 stage of Sablefish. The model and biophysical indices from 2012 and 2013 produced a forecast of 23 million age‐2 Sablefish for 2014 and a forecast of 8 million Sablefish for 2015. This study highlights the opportunity to use proxies for direct ambient physical and biological observations of rearing habitats in estimating groundfish recruitment to older ages. Received November 6, 2014; accepted April 10, 2015

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Toward biophysical synergy: Investigating advection along the Polar Front to identify factors influencing Alaska sablefish recruitment

Cited by 27 publications

References 38 publications

Oceanographic drivers of sablefish recruitment in the California Current

Oceanographic drivers of sablefish recruitment in the California Current

Move it or lose it: movement and mortality of sablefish tagged in Alaska

Using Salmon Survey and Commercial Fishery Data to Index Nearshore Rearing Conditions and Recruitment of Alaskan Sablefish

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