Calibration of lichen transplants considering faint memory effects

Environ Pollut. 2002;120(1):87-95. doi: 10.1016/s0269-7491(02)00131-8.

Abstract

Biomonitoring, among other purposes, can be used as a tool to study the dispersion of trace elements through the atmosphere and back to the earth's surface again. In this sense it has been used for more than 20 years now. Yet, the calibration of biomonitors elemental contents against other atmospheric element dispersion variables like deposition or airborne concentration is still an open subject. The knowledge of a calibration nevertheless represents a qualitative improvement upon the use of biomonitors. Biomonitors elemental contents are usually assumed to depend in a linear way on the average values of atmospheric element dispersion variables, thus a linear regression is assumed to provide a good calibration. In this work: the element dispersion variables like deposition or airborne concentration will be referred in general as availability variables due to reasons that will be clarified; an uptake experiment using transplants of lichen Parmelia sulcata carried out in Portugal during a 2-year period (1994/1996) is described; and new concepts and calibration methods are presented. Lichen and aerosol samples were analysed by nuclear analytical techniques PIXE and INAA, and total deposition dry residue samples were analysed by ICP-MS. A database of roughly 70,000 values was thus created and biomonitor calibration carried out considering that biomonitors are not mechanical instruments but that they rather describe their exposure with a non-perfect memory. Data shows that surveying lichens four times within 1 year, with a period of 3 months in between sampling campaigns, allows the recovery of availability mean, maxima and standard deviation for many elements.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Calibration
  • Data Collection
  • Environmental Monitoring / methods*
  • Lichens / chemistry*
  • Lichens / growth & development
  • Mass Spectrometry
  • Reference Values
  • Regression Analysis
  • Reproducibility of Results
  • Seasons
  • Trace Elements / analysis*
  • Trace Elements / pharmacokinetics

Substances

  • Trace Elements