Literature DB >> 19659451

Relevance of risk predictions derived from a chronic species sensitivity distribution with cadmium to aquatic populations and ecosystems.

Christopher A Mebane1.   

Abstract

Criteria to protect aquatic life are intended to protect diverse ecosystems, but in practice are usually developed from compilations of single-species toxicity tests using standard test organisms that were tested in laboratory environments. Species sensitivity distributions (SSDs) developed from these compilations are extrapolated to set aquatic ecosystem criteria. The protectiveness of the approach was critically reviewed with a chronic SSD for cadmium comprising 27 species within 21 genera. Within the data set, one genus had lower cadmium effects concentrations than the SSD fifth percentile-based criterion, so in theory this genus, the amphipod Hyalella, could be lost or at least allowed some level of harm by this criteria approach. However, population matrix modeling projected only slightly increased extinction risks for a temperate Hyalella population under scenarios similar to the SSD fifth percentile criterion. The criterion value was further compared to cadmium effects concentrations in ecosystem experiments and field studies. Generally, few adverse effects were inferred from ecosystem experiments at concentrations less than the SSD fifth percentile criterion. Exceptions were behavioral impairments in simplified food web studies. No adverse effects were apparent in field studies under conditions that seldom exceeded the criterion. At concentrations greater than the SSD fifth percentile, the magnitudes of adverse effects in the field studies were roughly proportional to the laboratory-based fraction of species with adverse effects in the SSD. Overall, the modeling and field validation comparisons of the chronic criterion values generally supported the relevance and protectiveness of the SSD fifth percentile approach with cadmium.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19659451     DOI: 10.1111/j.1539-6924.2009.01275.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  2 in total

1.  Correcting for Phylogenetic Autocorrelation in Species Sensitivity Distributions.

Authors:  Dwayne Rj Moore; Colleen D Priest; Nika Galic; Richard A Brain; Sara I Rodney
Journal:  Integr Environ Assess Manag       Date:  2019-11-18       Impact factor: 2.992

Review 2.  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

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.