Field application of a model of proton and metal mixture bioavailability and effects

Tipping, E. ORCID: https://orcid.org/0000-0001-6618-6512; Lofts, S. ORCID: https://orcid.org/0000-0002-3627-851X; Keller, W.. 2023 Field application of a model of proton and metal mixture bioavailability and effects. [Speech] In: SETAC Europe 33rd Annual Meeting, Dublin, Ireland, 30 Apr - 4 May 2023. 524-525. (Unpublished)

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Abstract/Summary

Quantitatively predicting of the responses of freshwater ecosystems to the effects of potentially toxic metals and acidification is an ongoing challenge in ecotoxicology. The WHAM-FTOX model is based on the assumptions that toxic effects of protons and metal cations are additively related to their occupancies of binding sites on organisms, and that those binding sites can be represented by the binding sites of humic acid (HA). We applied the model to simulate the species richness (nsp) of crustacean zooplankton in acid- and metal-contaminated lakes near Sudbury, Ontario between 1973 and 2006. Historic emissions from metal smelters at Sudbury have caused contamination of surrounding lakes by acid deposition, while lakes closest to the smelters were also contaminated with metals, mainly Ni and Cu, and to lesser extents Zn, Cd, and Pb. Changes in water chemistry over the study period show partial recovery as a result of emission reductions. In application, binding of protons and metals to organisms is simulated by applying the WHAM7 model for each water sample. A combined dose term, FTOX,i, is computed for each species within a conceptual assemblage, assuming a distribution of species sensitivities to metals. The probability of finding the species in a sample is then computed from a fixed relationship with FTOX,i, and nsp is computed by summing these probabilities across all species. The distribution of species sensitivities is found by assuming them to be lognormally distributed and fitting their mean and standard deviation. The model was able to describe the variability in nsp well, with an R-squared value of 0.84 (p < 0.0001). Generally, the model reproduces the temporal patterns of nsp in individual lakes well, although it tends to underestimate the rate at which species richness increases as water chemistry recovers. The most important toxic cations were H, Al, Ni, and Cu, with a small contribution from Zn. The predicted contributions of protons and individual metals to toxicity generally showed declines over time in the contributions of protons and Al as recovery from contamination took place. However, in some cases the contribution of Ni increased over time, despite reductions on the dissolved concentration. This illustrates the potentially complex interplay among water chemistry variables determining metal exposure.

Item Type:	Publication - Conference Item (Speech)
UKCEH and CEH Sections/Science Areas:	Pollution (Science Area 2017-)
Additional Information. Not used in RCUK Gateway to Research.:	Freely available via the Official Link
NORA Subject Terms:	Ecology and Environment
Date made live:	10 Jan 2024 11:04 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/536383

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