Culverts delay upstream and downstream migrations of river herring ( Alosa spp.)

Author(s):  
Derrick Alcott ◽  
Elsa Goerig ◽  
Theodore Castro‐Santos
Keyword(s):  
2021 ◽  
Vol 13 (3) ◽  
pp. 263-276
Author(s):  
Justin R. Stevens ◽  
Rory Saunders ◽  
William Duffy

2017 ◽  
Vol 9 (1) ◽  
pp. 4-13 ◽  
Author(s):  
Heather K. Evans ◽  
Kara B. Carlson ◽  
Russ Wisser ◽  
Morgan E. Raley ◽  
Katy M. Potoka ◽  
...  

Abstract Blueback Herring Alosa aestivalis populations throughout the East Coast have declined precipitously since the late 1980s and were listed as a Species of Concern in 2006 by the National Oceanic and Atmospheric Administration. Natural resource agencies are attempting to restore this species to viable and sustainable levels with fry stockings cultured in hatcheries. To evaluate the long-term contribution of stockings to populations, agencies need an accurate method to track these stocking efforts. Genetic parentage-based tagging is recognized as a feasible means of assessing hatchery contribution of stocked fish to rivers of interest. However, Blueback Herring lack a reliable set of genetic markers to conduct parentage-based tagging. To this end, we analyzed previously described microsatellites as well as new microsatellite markers identified through NextGeneration sequencing to create a suite of 14 Blueback Herring markers useful for parentage-based tagging. The markers were successful in parentage analysis for Blueback Herring collected from the Chowan River, North Carolina. An additional challenge in the management of Blueback Herring is the ability to phenotypically distinguish Blueback Herring from the closely related Alewife Alosa pseudoharengus. Furthermore, recent studies provide evidence that these two species, collectively referred to as river herring, may be hybridizing with one another in some systems. Microsatellite marker AsaC334 can be utilized to discriminate between the two species, as well as to identify their F1 hybrids, thereby providing another genetic tool for hatchery management.


2017 ◽  
Vol 142 (4) ◽  
pp. 2597-2597
Author(s):  
Joseph Iafrate ◽  
Stephanie L. Watwood ◽  
Jessica Kutcher ◽  
Georges Dossot

2020 ◽  
Vol 77 (4) ◽  
pp. 741-751 ◽  
Author(s):  
Steven M. Lombardo ◽  
Jeffrey A. Buckel ◽  
Ernie F. Hain ◽  
Emily H. Griffith ◽  
Holly White

We analyzed four decades of presence–absence data from a fishery-independent survey to characterize the long-term phenology of river herring (alewife, Alosa pseudoharengus; and blueback herring, Alosa aestivalis) spawning migrations in their southern distribution. We used logistic generalized additive models to characterize the average ingress, peak, and egress timing of spawning. In the 2010s, alewife arrived to spawning habitat 16 days earlier and egressed 27 days earlier (peak 12 days earlier) relative to the 1970s. Blueback herring arrived 5 days earlier and egressed 23 days earlier (peak 13 days earlier) in the 2010s relative to the 1980s. The changes in ingress and egress timing have shortened the occurrence in spawning systems by 11 days for alewife over four decades and 18 days for blueback herring over three decades. We found that the rate of vernal warming was faster during 2001–2016 relative to 1973–1988 and is the most parsimonious explanation for changes in spawning phenology. The influence of a shortened spawning season on river herring population dynamics warrants further investigation.


2015 ◽  
Vol 73 (7) ◽  
pp. 1912-1924 ◽  
Author(s):  
Sara M. Turner ◽  
John P. Manderson ◽  
David E. Richardson ◽  
John J. Hoey ◽  
Jonathan A. Hare

Abstract Concern over the impacts of incidental catches of Alewife, Alosa pseudoharengus and Blueback Herring, A. aestivalis (collectively managed as ‘river herring’) in the commercial Atlantic Herring (Clupea harengus) and Atlantic Mackerel (Scomber scombrus) fisheries has resulted in the recent implementation of river herring incidental catch limits. These incidental catches are highly variable in frequency and magnitude, and the environmental conditions associated with these catches are poorly understood. We used generalized additive models (GAMs) to describe habitat associations of Alewife, Blueback Herring, Atlantic Herring, and Atlantic Mackerel. Bottom temperature, bottom depth, bottom salinity, solar azimuth and elevation, and region of the Northeast U.S. continental shelf were all significant in the habitat models; GAMs explained 25.2, 16.9, 18.9, and 20.6% of the deviance observed for the presence/absence of Alewife, Blueback Herring, Atlantic Herring, and Atlantic Mackerel. A subset of the data was omitted from the model and the probability of presence was compared with observations; 66–77% of observations were correctly predicted. The individual probabilities of presence were used to quantify and evaluate the accuracy of modelled overlap of Alewife and Blueback Herring with Atlantic Herring (68–72% correct predictions) and Alewife and Blueback Herring with Atlantic Mackerel (57–69% correct predictions). Our findings indicate that environmental gradients influence the distributions and overlap of Alewife, Blueback Herring, Atlantic Herring, and Atlantic Mackerel, and with further testing and refinement these models could be developed into a tool to aid industry in reducing incidental catches of river herring.


2018 ◽  
Vol 38 (3) ◽  
pp. 650-662 ◽  
Author(s):  
Matthew T. Devine ◽  
Allison H. Roy ◽  
Andrew R. Whiteley ◽  
Benjamin I. Gahagan ◽  
Michael P. Armstrong ◽  
...  

2012 ◽  
Vol 4 (1) ◽  
pp. 358-372 ◽  
Author(s):  
Benjamin I. Gahagan ◽  
Jason C. Vokoun ◽  
Gregory W. Whitledge ◽  
Eric T. Schultz

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