Literature DB >> 26854697

Conifer density within lake catchments predicts fish mercury concentrations in remote subalpine lakes.

Collin A Eagles-Smith1, Garth Herring2, Branden Johnson2, Rick Graw3.   

Abstract

Remote high-elevation lakes represent unique environments for evaluating the bioaccumulation of atmospherically deposited mercury through freshwater food webs, as well as for evaluating the relative importance of mercury loading versus landscape influences on mercury bioaccumulation. The increase in mercury deposition to these systems over the past century, coupled with their limited exposure to direct anthropogenic disturbance make them useful indicators for estimating how changes in mercury emissions may propagate to changes in Hg bioaccumulation and ecological risk. We evaluated mercury concentrations in resident fish from 28 high-elevation, sub-alpine lakes in the Pacific Northwest region of the United States. Fish total mercury (THg) concentrations ranged from 4 to 438 ng/g wet weight, with a geometric mean concentration (±standard error) of 43 ± 2 ng/g ww. Fish THg concentrations were negatively correlated with relative condition factor, indicating that faster growing fish that are in better condition have lower THg concentrations. Across the 28 study lakes, mean THg concentrations of resident salmonid fishes varied as much as 18-fold among lakes. We used a hierarchal statistical approach to evaluate the relative importance of physiological, limnological, and catchment drivers of fish Hg concentrations. Our top statistical model explained 87% of the variability in fish THg concentrations among lakes with four key landscape and limnological variables: catchment conifer density (basal area of conifers within a lake's catchment), lake surface area, aqueous dissolved sulfate, and dissolved organic carbon. Conifer density within a lake's catchment was the most important variable explaining fish THg concentrations across lakes, with THg concentrations differing by more than 400 percent across the forest density spectrum. These results illustrate the importance of landscape characteristics in controlling mercury bioaccumulation in fish. Published by Elsevier Ltd.

Entities:  

Keywords:  Bioaccumulation; Condition factor; Conifer; Fish; Forest; Landscape; Mercury

Mesh:

Substances:

Year:  2016        PMID: 26854697     DOI: 10.1016/j.envpol.2016.01.049

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  5 in total

1.  Factors affecting MeHg bioaccumulation in stream biota: the role of dissolved organic carbon and diet.

Authors:  Hannah J Broadley; Kathryn L Cottingham; Nicholas A Baer; Kathleen C Weathers; Holly A Ewing; Ramsa Chaves-Ulloa; Jessica Chickering; Adam M Wilson; Jenisha Shrestha; Celia Y Chen
Journal:  Ecotoxicology       Date:  2019-08-13       Impact factor: 2.823

2.  Timber harvest alters mercury bioaccumulation and food web structure in headwater streams.

Authors:  James J Willacker; Collin A Eagles-Smith; Brandon M Kowalski; Robert J Danehy; Allyson K Jackson; Evan M Adams; David C Evers; Chris S Eckley; Michael T Tate; David P Krabbenhoft
Journal:  Environ Pollut       Date:  2019-07-06       Impact factor: 8.071

3.  Mercury bioaccumulation in freshwater fishes of the Chesapeake Bay watershed.

Authors:  James J Willacker; Collin A Eagles-Smith; Vicki S Blazer
Journal:  Ecotoxicology       Date:  2020-04-01       Impact factor: 2.823

4.  A National-Scale Assessment of Mercury Bioaccumulation in United States National Parks Using Dragonfly Larvae As Biosentinels through a Citizen-Science Framework.

Authors:  Collin A Eagles-Smith; James J Willacker; Sarah J Nelson; Colleen M Flanagan Pritz; David P Krabbenhoft; Celia Y Chen; Joshua T Ackerman; Evan H Campbell Grant; David S Pilliod
Journal:  Environ Sci Technol       Date:  2020-07-07       Impact factor: 9.028

5.  Modulators of mercury risk to wildlife and humans in the context of rapid global change.

Authors:  Collin A Eagles-Smith; Ellen K Silbergeld; Niladri Basu; Paco Bustamante; Fernando Diaz-Barriga; William A Hopkins; Karen A Kidd; Jennifer F Nyland
Journal:  Ambio       Date:  2018-03       Impact factor: 5.129

  5 in total

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