Establishment of Gobiidae in the Great Lakes Basin

1992 ◽  
Vol 49 (2) ◽  
pp. 416-421 ◽  
Author(s):  
David J. Jude ◽  
Robert H. Reider ◽  
Gerald R. Smith

A tubenose goby (Proterorhinus marmoratus), a European endangered species native to the Black and Caspian seas, was recovered on 11 April 1990 from the travelling screens of the Belle River Power Plant located on the St. Clair River, Michigan. Subsequently, anglers caught three round gobies (Neogobius melanostomus) in the St. Clair River near Sarnia, Ontario. Thirty-one tubenose gobies and 11 round gobies were impinged or trawled at or near the Power Plant in the fall and winter of 1990–91. Nine round gobies (29–61 mm total length) are believed to be young-of-the-year. These species were probably transported to the Great Lakes in ballast water, may have successfully colonized the St. Clair River, and will probably spread throughout the Great Lakes. They are expected to impact directly other benthic fishes, such as sculpins (Cottus spp.), darters (Etheostoma spp.), and logperch (Percina caprodes), and in turn act as prey for walleye (Stizostedion vitreum).


2005 ◽  
Vol 31 (4) ◽  
pp. 405-413 ◽  
Author(s):  
John R.P. French ◽  
Patrick M. Muzzall ◽  
Jean V. Adams ◽  
Kendra L. Johnson ◽  
Angela E. Flores ◽  
...  


2021 ◽  
Vol 104 (9) ◽  
pp. 1089-1102
Author(s):  
Cassandra C. Rawlings ◽  
Sara E. Campbell ◽  
Nicholas E. Mandrak


2010 ◽  
Vol 67 (3) ◽  
pp. 553-562 ◽  
Author(s):  
Matthew S. Kornis ◽  
M. Jake Vander Zanden

The Laurentian Great Lakes host more than 180 non-native species, including several that have resulted in major economic and ecological effects. This list includes the round goby ( Neogobius melanostomus ), an aggressive, benthic Ponto-Caspian fish that has established large populations in coastal Great Lakes habitats. Here, we document the inland dispersal of round gobies into Wisconsin tributaries of Lake Michigan. Round gobies were detected in 26 of 73 streams (36%) and found >10 km upstream of Lake Michigan in nine watersheds. Round goby presence–absence was modeled using landscape-scale data from these invaded streams. We forecasted the future spread of round goby within Wisconsin’s Lake Michigan basin using our best model (80% accuracy), which included watershed area, stream gradient, and watershed slope as predictors. Round gobies were predicted to invade 1369 km of stream habitat up to the first stream barrier, and 8878 km of stream was identified as suitable looking beyond barriers at the broader Lake Michigan watershed (Wisconsin only). Our results depict the Great Lakes as a springboard for invasive species to disperse into inland ecosystems and, because round gobies are not usually reported in small streams in their native range, emphasize the utility of data from invaded regions when forecasting invasive species distributions.



1982 ◽  
Vol 11 (3) ◽  
pp. 482-486 ◽  
Author(s):  
G. J. Wall ◽  
W. T. Dickinson ◽  
L. J. P. Vliet


2021 ◽  
Vol 13 (13) ◽  
pp. 7274
Author(s):  
Joshua T. Fergen ◽  
Ryan D. Bergstrom

Social vulnerability refers to how social positions affect the ability to access resources during a disaster or disturbance, but there is limited empirical examination of its spatial patterns in the Great Lakes Basin (GLB) region of North America. In this study, we map four themes of social vulnerability for the GLB by using the Center for Disease Control’s Social Vulnerability Index (CDC SVI) for every county in the basin and compare mean scores for each sub-basin to assess inter-basin differences. Additionally, we map LISA results to identify clusters of high and low social vulnerability along with the outliers across the region. Results show the spatial patterns depend on the social vulnerability theme selected, with some overlapping clusters of high vulnerability existing in Northern and Central Michigan, and clusters of low vulnerability in Eastern Wisconsin along with outliers across the basins. Differences in these patterns also indicate the existence of an urban–rural dimension to the variance in social vulnerabilities measured in this study. Understanding regional patterns of social vulnerability help identify the most vulnerable people, and this paper presents a framework for policymakers and researchers to address the unique social vulnerabilities across heterogeneous regions.



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