Addressing temporal variability when modeling bioaccumulation in plants.

  title={Addressing temporal variability when modeling bioaccumulation in plants.},
  author={Emma Undeman and Gertje Czub and Michael S. McLachlan},
  journal={Environmental science & technology},
  volume={43 10},
Steady state models are commonly used to predict bioaccumulation of organic contaminants in biota. However, the steady state assumption may introduce errors when complex dynamic processes such as growth, temperature fluctuations, and variable environmental concentrations significantly affect the major chemical uptake and elimination processes. In this study, a strategy for addressing temporal variability in bioaccumulation modeling is proposed. Chemical partitioning space plots are used to show… CONTINUE READING