Spatial and Parent-Age Analysis of Stock–Recruitment in the Georges Bank Sea Scallop (Placopecten magellanicus) Population

1993 ◽  
Vol 50 (3) ◽  
pp. 564-574 ◽  
Author(s):  
Richard McGarvey ◽  
Fredric M. Serchuk ◽  
Ian A. McLaren

Reproductive interaction between and within subpopulations on Georges Bank was investigated employing annual sampling surveys of sea scallop (Placopecten magellanicus) abundance available from 1977 to 1988. Time series of recruitment and, together with size-specific fecundity, total yearly egg production were constructed for Georges Bank and all subregions to generate a spatial stock–recruitment analysis. Recruitment is correlated with egg production within the population on the Northern Edge and Northeast Peak which may imply that it is reproductively self-sustaining. Stock–recruitment correlations increased when the eggs of scallops age 3 and 4 were excluded from the stock measure of total egg production. This increase in correlation occurred in every subregion where there was evidence of a positive relationship between eggs and recruits, most strongly for the Northern Edge and Northeast Peak. This is consistent with the hypothesis that older scallops (ages 5 +) are the principle contributors to recruitment. Presently, the fishery begins removing large numbers at age 3.25. Previous yield per recruit analyses have predicted higher yields if age of first capture were raised. These correlations may suggest that the same policy could also result in higher recruitment.

2017 ◽  
Vol 74 (9) ◽  
pp. 2470-2479 ◽  
Author(s):  
Katherine A Kaplan ◽  
Deborah R Hart ◽  
Karen Hopkins ◽  
Scott Gallager ◽  
Amber York ◽  
...  

Abstract An invasive colonial tunicate (Didemnum vexillum) was initially observed on Georges Bank in 1998, and it has since spread in benthic environments on fishing grounds and areas closed to bottom-fishing. It can form dense mats on gravel substrates that are also a preferred habitat for the Atlantic sea scallop (Placopecten magellanicus), which supports one of the most valuable commercial fisheries in the United States. We used HabCam, a vessel-towed underwater imaging system, to investigate the spatial distributions of P. magellanicus and D. vexillum in a region that includes fishing grounds and an area protected from bottom-fishing. We found a negative relationship between P. magellanicus and D. vexillum, even after controlling for substrate and management status, suggesting that D. vexillum competes for habitat with P. magellanicus. We also applied the geostatistical method of universal kriging to interpolate the distribution of D. vexllium based on the covariables gravel, depth and area. Our results indicate that D. vexillum is more common in areas open to fishing than in the areas closed to fishing, even taking bottom substrate effects into account. Didemnum vexillum appears to have spread over portions of the northern edge of Georges Bank. This research evaluates potential fish and invertebrate habitat degradation caused by an invasive species.


2015 ◽  
Vol 73 (4) ◽  
pp. 1062-1073 ◽  
Author(s):  
Samuel B. Truesdell ◽  
Deborah R. Hart ◽  
Yong Chen

Abstract Conventional yield-per-recruit (Y/R) and spawning-stock biomass-per-recruit (SSB/R) models make no allowance for spatial heterogeneity in fishing mortality, natural mortality, or growth across the stock area, although variability in these processes can affect model results. For example, areas with higher growth and/or lower natural mortality rates should be fished at a lower rate to maximize Y/R; however, these areas may be especially attractive to fishers and are often fished harder. Here, Y/R and SSB/R models are developed that simultaneously account for spatial heterogeneity in growth and fishing effort. These models are applied to the US Atlantic sea scallop (Placopecten magellanicus) fishery. The spatial variability in growth uses depth-integrated models from the literature and variability in effort is based on, alternatively, uniform, observed, and relative-optimal spatial harvesting distributions. The observed effort patterns are derived from vessel monitoring system positions, and illustrate one application for these widely collected but underutilized spatial data. In this example, the distribution of observed fishing effort reduces Y/R compared with the relative-optimal, or the uniform effort distribution implicitly assumed by conventional Y/R analysis. SSB/R was in some cases considerably higher under the relative-optimal distribution of effort than when calculated using observed or uniform effort patterns. Such more realistic spatially integrated Y/R and SSB/R models can help to evaluate the impact of effort patterns on fishery yield and stock egg production. These models demonstrate that the spatial distribution of effort can be as important as the overall average fishing mortality when managing fisheries to optimize Y/R, SSB/R, and yield.


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