Literature DB >> 29227685

A Model for Methylmercury Uptake and Trophic Transfer by Marine Plankton.

Amina T Schartup1,2, Asif Qureshi2,3, Clifton Dassuncao1,2, Colin P Thackray1, Gareth Harding4, Elsie M Sunderland1,2.   

Abstract

Methylmercury (MeHg) concentrations can increase by 100 000 times between seawater and marine phytoplankton, but levels vary across sites. To better understand how ecosystem properties affect variability in planktonic MeHg concentrations, we develop a model for MeHg uptake and trophic transfer at the base of marine food webs. The model successfully reproduces measured concentrations in phytoplankton and zooplankton across diverse sites from the Northwest Atlantic Ocean. Highest MeHg concentrations in phytoplankton are simulated under low dissolved organic carbon (DOC) concentrations and ultraoligotrophic conditions typical of open ocean regions. This occurs because large organic complexes bound to MeHg inhibit cellular uptake and cell surface area to volume ratios are greatest under low productivity conditions. Modeled bioaccumulation factors for phytoplankton (102.4-105.9) are more variable than those for zooplankton (104.6-106.2) across ranges in DOC (40-500 μM) and productivities (ultraoligotrophic to hypereutrophic) typically found in marine ecosystems. Zooplankton growth dilutes their MeHg body burden, but they also consume greater quantities of MeHg enriched prey at larger sizes. These competing processes lead to lower variability in MeHg concentrations in zooplankton compared to phytoplankton. Even under hypereutrophic conditions, modeled growth dilution in marine zooplankton is insufficient to lower their MeHg concentrations, contrasting findings from freshwater ecosystems.

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Year:  2017        PMID: 29227685     DOI: 10.1021/acs.est.7b03821

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


  7 in total

1.  Sediment organic carbon and temperature effects on methylmercury concentration: A mesocosm experiment.

Authors:  K L Buckman; E A Seelen; R P Mason; P Balcom; V F Taylor; J E Ward; C Y Chen
Journal:  Sci Total Environ       Date:  2019-02-20       Impact factor: 7.963

2.  Effects of temperature, salinity, and sediment organic carbon on methylmercury bioaccumulation in an estuarine amphipod.

Authors:  Amanda N Curtis; Kimberly Bourne; Mark E Borsuk; Kate L Buckman; Eugene Demidenko; Vivien F Taylor; Celia Y Chen
Journal:  Sci Total Environ       Date:  2019-06-07       Impact factor: 7.963

3.  Using carbon, nitrogen, and mercury isotope values to distinguish mercury sources to Alaskan lake trout.

Authors:  Ryan F Lepak; Jacob M Ogorek; Krista K Bartz; Sarah E Janssen; Michael T Tate; Yin Runsheng; James P Hurley; Daniel B Young; Collin A Eagles-Smith; David P Krabbenhoft
Journal:  Environ Sci Technol Lett       Date:  2022-03-21

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.  Organic carbon content drives methylmercury levels in the water column and in estuarine food webs across latitudes in the Northeast United States.

Authors:  V F Taylor; K L Buckman; E A Seelen; N M Mazrui; P H Balcom; R P Mason; C Y Chen
Journal:  Environ Pollut       Date:  2018-12-24       Impact factor: 8.071

6.  Subsurface seawater methylmercury maximum explains biotic mercury concentrations in the Canadian Arctic.

Authors:  Kang Wang; Kathleen M Munson; Alexis Beaupré-Laperrière; Alfonso Mucci; Robie W Macdonald; Feiyue Wang
Journal:  Sci Rep       Date:  2018-09-27       Impact factor: 4.379

7.  Global health effects of future atmospheric mercury emissions.

Authors:  Yanxu Zhang; Zhengcheng Song; Shaojian Huang; Peng Zhang; Yiming Peng; Peipei Wu; Jing Gu; Stephanie Dutkiewicz; Huanxin Zhang; Shiliang Wu; Feiyue Wang; Long Chen; Shuxiao Wang; Ping Li
Journal:  Nat Commun       Date:  2021-05-24       Impact factor: 14.919

  7 in total

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