TY - JOUR
T1 - Metal toxicity to freshwater organisms as a function of pH
T2 - A meta-analysis
AU - Wang, Zhen
AU - Meador, James P.
AU - Leung, Kenneth M.Y.
PY - 2016/2
Y1 - 2016/2
N2 - Acidification caused by climate change and seasonal fluctuation can have profound implications for chemical toxicity to freshwater organisms. The present study aims to address this challenging issue through a comprehensive meta-analysis by comparing acute median lethal or effect concentration data (LC50 or EC50) for 10 metals and metalloids for various freshwater species obtained at different pH values. Our results revealed that element toxicity generally follows three different models, including Model-I: decreasing toxicity with increasing pH, Model-II: increasing toxicity with increasing pH, and Model-III: minimal toxicity at intermediate (optimal) pH (pHopt) with increasing toxicity as pH increases or decreases from pHopt. We further examined these observations by constructing pH-dependent species sensitivity distributions (SSDs). The results indicated that the 10th percentile hazardous concentrations (HC10s) for copper, lead, selenium and silver generally exhibited a positive linear relationship with pH, following the Model-I. The ability to accurately predict toxicity of elements to biota in natural waters as a function of pH may be limited, however, the pH-dependent SSD approach presented in this study facilitates and helps characterize the role of pH in water quality guidelines and ecological risk assessment.
AB - Acidification caused by climate change and seasonal fluctuation can have profound implications for chemical toxicity to freshwater organisms. The present study aims to address this challenging issue through a comprehensive meta-analysis by comparing acute median lethal or effect concentration data (LC50 or EC50) for 10 metals and metalloids for various freshwater species obtained at different pH values. Our results revealed that element toxicity generally follows three different models, including Model-I: decreasing toxicity with increasing pH, Model-II: increasing toxicity with increasing pH, and Model-III: minimal toxicity at intermediate (optimal) pH (pHopt) with increasing toxicity as pH increases or decreases from pHopt. We further examined these observations by constructing pH-dependent species sensitivity distributions (SSDs). The results indicated that the 10th percentile hazardous concentrations (HC10s) for copper, lead, selenium and silver generally exhibited a positive linear relationship with pH, following the Model-I. The ability to accurately predict toxicity of elements to biota in natural waters as a function of pH may be limited, however, the pH-dependent SSD approach presented in this study facilitates and helps characterize the role of pH in water quality guidelines and ecological risk assessment.
KW - Ecological risk assessment
KW - Metal
KW - PH
KW - Species sensitivity distributions
KW - Water quality guidelines
UR - http://www.scopus.com/inward/record.url?scp=84950969204&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84950969204&origin=recordpage
U2 - 10.1016/j.chemosphere.2015.10.032
DO - 10.1016/j.chemosphere.2015.10.032
M3 - RGC 21 - Publication in refereed journal
C2 - 26498103
SN - 0045-6535
VL - 144
SP - 1544
EP - 1552
JO - Chemosphere
JF - Chemosphere
ER -