Ecological Implications of Steady State and Nonsteady State Bioaccumulation Models

被引:16
作者
McLeod, Anne M. [1 ]
Paterson, Gordon [2 ]
Drouillard, Ken G. [1 ]
Haffner, G. Douglas [1 ]
机构
[1] Univ Windsor, Great Lakes Inst Environm Res, Windsor, ON N9B 3P4, Canada
[2] SUNY Syracuse, Coll Environm Sci & Forestry, Syracuse, NY 13035 USA
基金
加拿大自然科学与工程研究理事会;
关键词
PERCH PERCA-FLAVESCENS; HYDROPHOBIC ORGANIC-CHEMICALS; TROUT SALVELINUS-NAMAYCUSH; WESTERN LAKE-ERIE; FOOD-WEB; POLYCHLORINATED-BIPHENYLS; FRESH-WATER; AQUATIC ECOSYSTEMS; PCB ELIMINATION; ACCUMULATION;
D O I
10.1021/acs.est.6b03169
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accurate predictions on the bioaccumulation of persistent organic pollutants (POPs) are critical for hazard and ecosystem health assessments. Aquatic systems are influenced by multiple stressors including climate change and species invasions and it is important to be able to predict variability in POP concentrations in changing environments. Current steady state bioaccumulation models simplify POP bioaccumulation dynamics, assuming that pollutant uptake and elimination processes become balanced over an organisms lifespan. These models do not consider the complexity of dynamic variables such as temperature and growth rates which are known to have the potential to regulate bioaccumulation in aquatic organisms. We contrast a steady state (SS) bioaccumulation model with a dynamic nonsteady state (NSS) model and a no elimination (NE) model. We demonstrate that both the NSS and the NE models are superior at predicting both average concentrations as well as variation in POPs among individuals. This comparison demonstrates that temporal drivers, such as environmental fluctuations in temperature, growth dynamics, and modified food-web structure strongly determine contaminant concentrations and variability in a changing environment. These results support the recommendation of the future development of more dynamic, nonsteady state bioaccumulation models to predict hazard and risk assessments in the Anthropocene.
引用
收藏
页码:11103 / 11111
页数:9
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