Literature DB >> 15669332

Modeling the effect of algal dynamics on arsenic speciation in Lake Biwa.

Ferdi L Hellweger1, Upmanu Lall.   

Abstract

Algae reduce and methylate arsenate and the end product of the reaction is correlated to their growth rate. At slow growth rates, dimethylarsinate (DMA) is produced, and at fast growth rates arsenite (As(III)) is produced. Previous work has linked this phenomenon to the phosphorus luxury uptake mechanism of algae, and a model was developed for the process (Hellweger et al. Limnol. Oceanogr. 2003, 48, 2275). This paper presents the integration of that process model for arsenic transformation by algae into a full ecological model and application to Lake Biwa, Japan. The model application allows for a quantitative analysis of the field data, consistent with the process model and the ecological dynamics of the lake. The newly developed ecological model includes a variable phytoplankton composition, which is needed to simulate luxury uptake. This is in contrast to most existing ecological models, which typically assume a fixed "Redfield" composition. The model adequately reproduces the observed ecology of Lake Biwa, including the rapid uptake of phosphate by phytoplankton without immediate growth (luxury uptake) following lake overturn. The model also reproduces the observed arsenic speciation, including the gradual appearance of DMA during the summer and peaks in As(III) concentration at the onset of spring and fall algal blooms.

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Year:  2004        PMID: 15669332     DOI: 10.1021/es049660k

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


  13 in total

1.  Use of agent-based modeling to explore the mechanisms of intracellular phosphorus heterogeneity in cultured phytoplankton.

Authors:  Neil D Fredrick; John A Berges; Benjamin S Twining; Daliangelis Nuñez-Milland; Ferdi L Hellweger
Journal:  Appl Environ Microbiol       Date:  2013-05-10       Impact factor: 4.792

Review 2.  Organoarsenicals in Seafood: Occurrence, Dietary Exposure, Toxicity, and Risk Assessment Considerations - A Review.

Authors:  Caleb Luvonga; Catherine A Rimmer; Lee L Yu; Sang B Lee
Journal:  J Agric Food Chem       Date:  2020-01-16       Impact factor: 5.279

3.  Arsenic speciation in food chains from mid-Atlantic hydrothermal vents.

Authors:  Vivien F Taylor; Brian P Jackson; Matthew Siegfried; Jana Navratilova; Kevin A Francesconi; Julie Kirshtein; Mary Voytek
Journal:  Environ Chem       Date:  2012-05-04       Impact factor: 3.088

4.  Bioaccumulation and toxicity of arsenic in cyanobacteria cultures separated from a eutrophic reservoir.

Authors:  Winn-Jung Huang; Chih-Chao Wu; Wan-Chen Chang
Journal:  Environ Monit Assess       Date:  2013-09-18       Impact factor: 2.513

5.  Contrasting arsenic cycling in strongly and weakly stratified contaminated lakes: Evidence for temperature control on sediment-water arsenic fluxes.

Authors:  P M Barrett; E A Hull; K Burkart; O Hargrave; J McLean; V F Taylor; B P Jackson; J E Gawel; R B Neumann
Journal:  Limnol Oceanogr       Date:  2019-01-28       Impact factor: 4.745

6.  Distribution of arsenic between the particulate and aqueous phases in surface water from three freshwater lakes in China.

Authors:  Fen Yang; Di Geng; Chaoyang Wei; Hongbing Ji; Hai Xu
Journal:  Environ Sci Pollut Res Int       Date:  2015-12-26       Impact factor: 4.223

7.  Accumulation, transformation, and release of inorganic arsenic by the freshwater cyanobacterium Microcystis aeruginosa.

Authors:  Zhenhong Wang; Zhuanxi Luo; Changzhou Yan
Journal:  Environ Sci Pollut Res Int       Date:  2013-05-01       Impact factor: 4.223

8.  Increased exposure of plankton to arsenic in contaminated weakly-stratified lakes.

Authors:  P M Barrett; E A Hull; C E King; K Burkart; K A Ott; J N Ryan; J E Gawel; R B Neumann
Journal:  Sci Total Environ       Date:  2018-01-12       Impact factor: 7.963

9.  Arsenic efflux from Microcystis aeruginosa under different phosphate regimes.

Authors:  Changzhou Yan; Zhenhong Wang; Zhuanxi Luo
Journal:  PLoS One       Date:  2014-12-30       Impact factor: 3.240

10.  Factors Affecting Elevated Arsenic and Methyl Mercury Concentrations in Small Shield Lakes Surrounding Gold Mines near the Yellowknife, NT, (Canada) Region.

Authors:  Adam James Houben; Rebecca D'Onofrio; Steven V Kokelj; Jules M Blais
Journal:  PLoS One       Date:  2016-04-06       Impact factor: 3.240

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