Northern Madtom Use of Artificial Reefs in the St. Clair–Detroit River System

Author(s):  
Jennifer L. Johnson ◽  
Justin A. Chiotti ◽  
Andrew S. Briggs ◽  
James C. Boase ◽  
Jan‐Michael Hessenauer ◽  
...  
1986 ◽  
Vol 21 (3) ◽  
pp. 411-421 ◽  
Author(s):  
Efraim Halfon

Abstract Perchloroethylene (PERC) is a heavier-than-water, soluble and volatile solvent used primarily in the dry cleaning business. Black puddles (popularly known the the “blob”), containing several contaminants inducing PERC, were reported in the St. Clair River bottom sediments downstream from Sarnia in 1984 and in 1985. The TOXFATE model is used to predict the fate of PERC and the relative importance of volatilization in relation to water transport. Simulations show that in the St. Clair-Detroit River system about 82% (78-87%). under a variety of temperature and wind conditions) of the PERC loading is volatilized, about 17% (12-21%) of loading enters Lake Erie (more in winter, less in summer) and only about 1% remains in the system. The residence half life of PERC being transported in the water from Sarnia to Lake Erie is 350-400 hours and the half life of PERC being volatilized is 80-85 hours. A sensitivity analysis shows the importance of knowing the daily loadings to compute, in real time, local water concentrations following a PERC spill. The high water levels in the St. Clair River system do not influence the fate of PERC. Given the high volatility of PERC low temperatures and wind speeds do not reduce significantly the rate of removal of PERC from the system through volatilize nation.


2020 ◽  
Vol 150 ◽  
pp. 105837 ◽  
Author(s):  
Jason L. Fischer ◽  
Edward F. Roseman ◽  
Christine Mayer ◽  
Todd Wills

2019 ◽  
Vol 45 (1) ◽  
pp. 40-49 ◽  
Author(s):  
Donald Scavia ◽  
Serghei A. Bocaniov ◽  
Awoke Dagnew ◽  
Colleen Long ◽  
Yu-Chen Wang

1991 ◽  
Vol 17 (4) ◽  
pp. 522-535 ◽  
Author(s):  
Bruce M. Davis ◽  
Patrick L. Hudson ◽  
Brian J. Armitage
Keyword(s):  

2019 ◽  
Vol 45 (6) ◽  
pp. 1142-1149 ◽  
Author(s):  
Yao Hu ◽  
Colleen M. Long ◽  
Yu-Chen Wang ◽  
Branko Kerkez ◽  
Donald Scavia

2018 ◽  
Vol 147 (1) ◽  
pp. 79-93 ◽  
Author(s):  
Jason L. Fischer ◽  
Jeremy J. Pritt ◽  
Edward F. Roseman ◽  
Carson G. Prichard ◽  
Jaquelyn M. Craig ◽  
...  

1985 ◽  
Vol 63 (6) ◽  
pp. 1061-1065 ◽  
Author(s):  
Donald W. Schloesser ◽  
Thomas A. Edsall ◽  
Bruce A. Manny

Growth of submersed aquatic macrophytes was determined from observation and on the basis of biomass of samples collected from April to November 1978 at seven study sites in a major river system of the Great Lakes, the St. Clair – Detroit river system between Lake Huron and Lake Erie. Growth usually began between April and June, peaked between July and October, and decreased by late November. Maximum biomass at six of the seven sites (118–427 g dry weight m−2) was similar or greater than that reported in other rivers at similar latitudes. Seasonal growth of the abundant taxa followed one of three seasonal patterns at each study site: one dominant taxon grew alone; codominant taxa grew sympatrically without species succession; and codominant taxa grew sympatrically with species succession. Differences in growth and seasonal succession of some taxa were apparently caused by the presence or absence of overwintering plant material, competition, and life-cycle differences.


2016 ◽  
Vol 73 (3) ◽  
pp. 416-426 ◽  
Author(s):  
Reed M. Brodnik ◽  
Michael E. Fraker ◽  
Eric J. Anderson ◽  
Lucia Carreon-Martinez ◽  
Kristen M. DeVanna ◽  
...  

Ability to quantify connectivity among spawning subpopulations and their relative contribution of recruits to the broader population is a critical fisheries management need. By combining microsatellite and age information from larval yellow perch (Perca flavescens) collected in the Lake St. Clair – Detroit River system (SC-DRS) and western Lake Erie with a hydrodynamic backtracking approach, we quantified subpopulation structure, connectivity, and contributions of recruits to the juvenile stage in western Lake Erie during 2006–2007. After finding weak (yet stable) genetic structure between the SC-DRS and two western Lake Erie subpopulations, microsatellites also revealed measurable recruitment of SC-DRS larvae to the juvenile stage in western Lake Erie (17%–21% during 2006–2007). Consideration of precollection larval dispersal trajectories, using hydrodynamic backtracking, increased estimated contributions to 65% in 2006 and 57% in 2007. Our findings highlight the value of complementing subpopulation discrimination methods with hydrodynamic predictions of larval dispersal by revealing the SC-DRS as a source of recruits to western Lake Erie and also showing that connectivity through larval dispersal can affect the structure and dynamics of large lake fish populations.


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