Literature DB >> 20701986

Toxicity of proton-metal mixtures in the field: linking stream macroinvertebrate species diversity to chemical speciation and bioavailability.

Anthony Stockdale1, Edward Tipping, Stephen Lofts, Stephen J Ormerod, William H Clements, Ronny Blust.   

Abstract

Understanding metal and proton toxicity under field conditions requires consideration of the complex nature of chemicals in mixtures. Here, we demonstrate a novel method that relates streamwater concentrations of cationic metallic species and protons to a field ecological index of biodiversity. The model WHAM-F(TOX) postulates that cation binding sites of aquatic macroinvertebrates can be represented by the functional groups of natural organic matter (humic acid), as described by the Windermere Humic Aqueous Model (WHAM6), and supporting field evidence is presented. We define a toxicity function (F(TOX)) by summing the products: (amount of invertebrate-bound cation) x (cation-specific toxicity coefficient, α(i)). Species richness data for Ephemeroptera, Plecoptera and Trichoptera (EPT), are then described with a lower threshold of F(TOX), below which all organisms are present and toxic effects are absent, and an upper threshold above which organisms are absent. Between the thresholds the number of species declines linearly with F(TOX). We parameterised the model with chemistry and EPT data for low-order streamwaters affected by acid deposition and/or abandoned mines, representing a total of 412 sites across three continents. The fitting made use of quantile regression, to take into account reduced species richness caused by (unknown) factors other than cation toxicity. Parameters were derived for the four most common or abundant cations, with values of α(i) following the sequence (increasing toxicity) H+ < Al < Zn < Cu. For waters affected mainly by H+ and Al, F(TOX) shows a steady decline with increasing pH, crossing the lower threshold near to pH 7. Competition effects among cations mean that toxicity due to Cu and Zn is rare at lower pH values, and occurs mostly between pH 6 and 8. 2010 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20701986     DOI: 10.1016/j.aquatox.2010.07.018

Source DB:  PubMed          Journal:  Aquat Toxicol        ISSN: 0166-445X            Impact factor:   4.964


  5 in total

1.  Incorporating bioavailability into toxicity assessment of Cu-Ni, Cu-Cd, and Ni-Cd mixtures with the extended biotic ligand model and the WHAM-F(tox) approach.

Authors:  Hao Qiu; Martina G Vijver; Erkai He; Yang Liu; Peng Wang; Bing Xia; Erik Smolders; Liske Versieren; Willie J G M Peijnenburg
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-08       Impact factor: 4.223

2.  Sorption and pH determine the long-term partitioning of cadmium in natural soils.

Authors:  Masoud M Ardestani; Cornelis A M van Gestel
Journal:  Environ Sci Pollut Res Int       Date:  2016-06-11       Impact factor: 4.223

3.  Aquatic ecosystem health assessment of a typical sub-basin of the Liao River based on entropy weights and a fuzzy comprehensive evaluation method.

Authors:  Jiabo Chen; Yanjie Wang; Fayun Li; Zicheng Liu
Journal:  Sci Rep       Date:  2019-10-01       Impact factor: 4.379

4.  Stream Mesocosm Experiments Show no Protective Effects of Calcium on Copper Toxicity to Macroinvertebrates.

Authors:  Yuichi Iwasaki; Pete Cadmus; James Ranville; William H Clements
Journal:  Environ Toxicol Chem       Date:  2022-03-21       Impact factor: 4.218

Review 5.  Validation of Bioavailability-Based Toxicity Models for Metals.

Authors:  Emily R Garman; Joseph S Meyer; Christine M Bergeron; Tamzin A Blewett; William H Clements; Michael C Elias; Kevin J Farley; Francesca Gissi; Adam C Ryan
Journal:  Environ Toxicol Chem       Date:  2020-01       Impact factor: 4.218

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.