Functional feeding responses of piscivorous fishes from the northeast US continental shelf

Oecologia ◽  
2010 ◽  
Vol 163 (4) ◽  
pp. 1059-1067 ◽  
Author(s):  
H. Moustahfid ◽  
M. C. Tyrrell ◽  
J. S. Link ◽  
J. A. Nye ◽  
B. E. Smith ◽  
...  
2020 ◽  
Vol 26 (8) ◽  
pp. 987-1001
Author(s):  
Kisei R. Tanaka ◽  
Michael P. Torre ◽  
Vincent S. Saba ◽  
Charles A. Stock ◽  
Yong Chen

2008 ◽  
Vol 65 (9) ◽  
pp. 1689-1700 ◽  
Author(s):  
Megan C. Tyrrell ◽  
Jason S. Link ◽  
Hassan Moustahfid ◽  
William J. Overholtz

AbstractTyrrell, M. C., Link, J. S., Moustahfid, H., and Overholtz, W. J. 2008. Evaluating the effect of predation mortality on forage species population dynamics in the Northeast US continental shelf ecosystem using multispecies virtual population analysis. – ICES Journal of Marine Science, 65: 1689–1700. An expanded version of multispecies virtual population analysis (MSVPA) is used to analyse the effects of predation by 14 key predators on Atlantic herring and Atlantic mackerel in the Northwest Atlantic ecosystem for the period 1982–2002. For herring, MSVPA produced greater abundance estimates than single-species assessments, especially for the youngest age classes. The average rate of predation mortality for herring aged 0 and 1 was also higher than the standard total natural mortality rate (0.2) for the 21-year time frame (0.84–3.2). The same was true for mackerel in this MSVPA (0.37–1.6). Consumptive removals of herring and mackerel generally increased over time. From 1999 to 2001, the biomass removed by predators exceeded each species' commercial landings. The sum of consumption and landings notably exceeded the multispecies maximum sustainable yield for herring for the years 1995–2002 and for mackerel for the period 1999–2002. We highlight the importance of accounting for predation on forage species in the context of changes to the fish community that have taken place in the Northwest Atlantic over the past few decades.


2021 ◽  
Vol 8 ◽  
Author(s):  
Kevin D. Friedland ◽  
Elizabeth T. Methratta ◽  
Andrew B. Gill ◽  
Sarah K. Gaichas ◽  
Tobey H. Curtis ◽  
...  

States in the Northeast United States have the ambitious goal of producing more than 22 GW of offshore wind energy in the coming decades. The infrastructure associated with offshore wind energy development is expected to modify marine habitats and potentially alter the ecosystem services. Species distribution models were constructed for a group of fish and macroinvertebrate taxa resident in the Northeast US Continental Shelf marine ecosystem. These models were analyzed to provide baseline context for impact assessment of lease areas in the Middle Atlantic Bight designated for renewable wind energy installations. Using random forest machine learning, models based on occurrence and biomass were constructed for 93 species providing seasonal depictions of their habitat distributions. We developed a scoring index to characterize lease area habitat use for each species. Subsequently, groups of species were identified that reflect varying levels of lease area habitat use ranging across high, moderate, low, and no reliance on the lease area habitats. Among the species with high to moderate reliance were black sea bass (Centropristis striata), summer flounder (Paralichthys dentatus), and Atlantic menhaden (Brevoortia tyrannus), which are important fisheries species in the region. Potential for impact was characterized by the number of species with habitat dependencies associated with lease areas and these varied with a number of continuous gradients. Habitats that support high biomass were distributed more to the northeast, while high occupancy habitats appeared to be further from the coast. There was no obvious effect of the size of the lease area on the importance of associated habitats. Model results indicated that physical drivers and lower trophic level indicators might strongly control the habitat distribution of ecologically and commercially important species in the wind lease areas. Therefore, physical and biological oceanography on the continental shelf proximate to wind energy infrastructure development should be monitored for changes in water column structure and the productivity of phytoplankton and zooplankton and the effects of these changes on the trophic system.


2009 ◽  
Vol 67 (4) ◽  
pp. 617-627 ◽  
Author(s):  
David E. Richardson ◽  
Jonathan A. Hare ◽  
William J. Overholtz ◽  
Donna L. Johnson

Abstract Richardson, D. E., Hare, J. A., Overholtz, W. J., and Johnson, D. L. 2010. Development of long-term larval indices for Atlantic herring (Clupea harengus) on the northeast US continental shelf. – ICES Journal of Marine Science, 67: 617–627. The incorporation of data from ichthyoplankton programmes into the stock assessment process has lagged far behind the use of data from comparable adult-monitoring programmes. This can in part be attributed to a mismatch between established analytical approaches to larval-index development and the inconsistencies in sampling for many long-term ichthyoplankton datasets. Along the northeast US continental shelf, ichthyoplankton surveys have been carried out by the Northeast Fisheries Science Center (NMFS/NOAA) multiple times annually since 1971, but the spatial and seasonal allocation of sampling has varied substantially. Here, we present a non-linear least-squares approach to larval-index development. We use the age structure and abundance of larvae on each survey to derive the larval index, along with parameters describing the survival of larvae and the seasonal cycle of hatching. Application to Atlantic herring (Clupea harengus) revealed a large drop in the index around 1976, an increase in the index through the late 1980s, and another large drop in 2004. This index was correlated with the stock assessment estimate of Atlantic herring spawning-stock biomass from 1971 to 2003, but differed substantially during 2004. Our results demonstrate that our approach to larval-index development is flexible to the inconsistencies in sampling effort.


2017 ◽  
Vol 574 ◽  
pp. 1-11 ◽  
Author(s):  
CT Perretti ◽  
MJ Fogarty ◽  
KD Friedland ◽  
JA Hare ◽  
SM Lucey ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Brooke A. Lowman ◽  
Andrew W. Jones ◽  
Jeffrey P. Pessutti ◽  
Anna M. Mercer ◽  
John P. Manderson ◽  
...  

Northern shortfin squid (Illex illecebrosus) have presented a challenge for US fishery management because of their life history traits and broad population distribution. They are characterized by a short semelparous lifespan and high interannual variability in recruitment. Much of the stock resides outside of the boundaries of existing US fisheries surveys and US fishing effort. Based on the annual migration pattern and broad geographic distribution of shortfin squid, it is believed that the US squid fishery in the Mid-Atlantic has not had a substantial impact on the stock; however, recent catches are viewed as tightly constrained by quotas. To better estimate the potential impact of fishing on the resource, we worked with industry representatives, scientists, and managers to estimate the availability of the northern shortfin squid stock on the US continental shelf to the US fishery. Taking a novel analytical approach, we combine a model-based estimate of the area occupied by northern shortfin squid with the empirical US commercial shortfin squid fishery footprint to produce estimates of the area of overlap. Because our method overestimates the fishery footprint and underestimates the full distribution of the stock, we suggest that our estimates of the overlap between the area occupied by the squid and the fishery footprint is a way to develop a conservative estimate of the potential fishery impact on the stock. Our findings suggest a limited degree of overlap between the US fishery and the modeled area occupied by the squid on the US continental shelf, with a range of 1.4–36.3%. The work demonstrates the value of using high-resolution, spatially explicit catch and effort data in a species distribution model to inform management of short-lived and broadly distributed species, such as the northern shortfin squid.


2001 ◽  
Vol 21 (11-12) ◽  
pp. 1139-1156 ◽  
Author(s):  
David S. Ullman ◽  
Peter C. Cornillon

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