Literature DB >> 28578575

Mercury Temporal Trends in Top Predator Fish of the Laurentian Great Lakes from 2004 to 2015: Are Concentrations Still Decreasing?

Chuanlong Zhou1, Mark D Cohen2, Bernard A Crimmins1, Hao Zhou3, Timothy A Johnson3, Philip K Hopke3, Thomas M Holsen1.   

Abstract

Mercury (Hg) concentration trends in top predator fish (lake trout and walleye) of the Great Lakes (GL) from 2004 to 2015 were determined by Kendall-Theil robust regression with a cluster-based age normalization method to control for the effect of changes in lake trophic status. When data from the GLs (except Lake Erie) are combined, a significant decreasing trend in the lake trout Hg concentrations was found between 2004 and 2015 with an annual decrease of 4.1% per year, consistent with the decline in regional atmospheric Hg emissions and water Hg concentrations. However, a breakpoint was detected with a significant decreasing slope (-8.1% per year) before the breakpoint (2010), and no trend after the breakpoint. When the lakes are examined individually, Lakes Superior and Huron, which are dominated by atmospheric Hg inputs and are more likely than the lower lakes to respond to declining emissions from areas surrounding the GL, have significant decreasing trends with rates between 5.2 and 7.8% per year from 2004 to 2015. These declining trends appear to be driven by decreasing regional atmospheric Hg emissions although they may be partly counterbalanced by other factors, including increasing local emissions, food web changes, eutrophication, and responses to global climate change. Lakes Michigan, Erie and Ontario may have been more impacted by these other factors and their trends changed from decreasing to non-decreasing or increasing in recent years.

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Year:  2017        PMID: 28578575     DOI: 10.1021/acs.est.7b00982

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  6 in total

1.  Biomonitoring programs in Michigan, Minnesota and New York to assess human exposure to Great Lakes contaminants.

Authors:  Wendy A Wattigney; Elizabeth Irvin-Barnwell; Zheng Li; Stephanie I Davis; Susan Manente; Junaid Maqsood; Deanna Scher; Rita Messing; Nancy Schuldt; Syni-An Hwang; Kenneth M Aldous; Elizabeth L Lewis-Michl; Angela Ragin-Wilson
Journal:  Int J Hyg Environ Health       Date:  2018-08-25       Impact factor: 5.840

2.  Revised fish aging techniques improve fish contaminant trend analyses in the face of changing Great Lakes food webs.

Authors:  Elizabeth W Murphy; Marian L Smith; Ji X He; William Wellenkamp; Edward Barr; Philip C Downey; Kenneth M Miller; Kathryn A Meyer
Journal:  J Great Lakes Res       Date:  2018-08       Impact factor: 2.480

3.  Polychlorinated biphenyls and organochlorine pesticides concentration patterns and trends in top predator fish of Laurentian Great Lakes from 1999 to 2014.

Authors:  Chuanlong Zhou; James Pagano; Bernard A Crimmins; Philip K Hopke; Michael S Milligan; Elizabeth W Murphy; Thomas M Holsen
Journal:  J Great Lakes Res       Date:  2018-08       Impact factor: 2.480

Review 4.  Internal Dynamics and Metabolism of Mercury in Biota: A Review of Insights from Mercury Stable Isotopes.

Authors:  Mi-Ling Li; Sae Yun Kwon; Brett A Poulin; Martin Tsz-Ki Tsui; Laura C Motta; Moonkyoung Cho
Journal:  Environ Sci Technol       Date:  2022-06-19       Impact factor: 11.357

5.  Mercury source changes and food web shifts alter contamination signatures of predatory fish from Lake Michigan.

Authors:  Ryan F Lepak; Joel C Hoffman; Sarah E Janssen; David P Krabbenhoft; Jacob M Ogorek; John F DeWild; Michael T Tate; Christopher L Babiarz; Runsheng Yin; Elizabeth W Murphy; Daniel R Engstrom; James P Hurley
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-04       Impact factor: 11.205

6.  A synthesis of patterns of environmental mercury inputs, exposure and effects in New York State.

Authors:  D C Evers; A K Sauer; D A Burns; N S Fisher; D C Bertok; E M Adams; M E H Burton; C T Driscoll
Journal:  Ecotoxicology       Date:  2020-11-10       Impact factor: 2.823

  6 in total

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