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Environmental Science and Pollution Research

, Volume 24, Issue 13, pp 11919–11939 | Cite as

Integrative evaluation of data derived from biomonitoring and models indicating atmospheric deposition of heavy metals

  • Stefan Nickel
  • Winfried Schröder
Biomonitoring of atmospheric pollution: possibilities and future challenges

Abstract

Atmospheric deposition of heavy metals (HM) can be determined by use of numeric models, technical devices and biomonitors. Mainly focussing on Germany, this paper aims at evaluating data from deposition modelling and biomonitoring programmes. The model LOTOS-EUROS (LE) yielded data on HM deposition at a spatial resolution of 25 km by 25 km throughout Europe. The European Monitoring and Evaluation Programme (EMEP) provided model calculations on 50 km by 50 km grids. Corresponding data on HM concentration in moss, leaves and needles and soil were derived from the European Moss Survey (EMS), the German Environmental Specimen Bank (ESB) and the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (iCP Forests). The modelled HM deposition and respective concentrations in moss (EMS), leaves and needles (ESB, iCP Forests) and soil (iCP Forests) were investigated for their statistical relationships. Regression equations were applied on geostatistical surface estimations of HM concentration in moss and then the residuals were interpolated by use of kriging interpolation. Both maps were summed up to a map of cadmium (Cd) and lead (Pb) deposition across Germany. Biomonitoring data were strongly correlated to LE than to EMEP. For HM concentrations in moss, the highest correlations were found for the association between geostatistical surface estimations of HM concentration in moss and deposition (LE).

Keywords

Deposition modelling EMEP Environmental Specimen Bank European Moss Survey Heavy metals ICP Forests LOTOS-EUROS 

Notes

Acknowledgments

This research paper was only possible through the help and support of the Federal Environmental Agency, Dessau, Germany, the Meteorological Synthesizing Centre - East (MSC-E), Moscow, Russia, and the ICP Vegetation Coordination Centre, Centre for Ecology and Hydrology, Bangor, UK.

Authors’ contributions

WS headed the investigation and the computations executed by SN. Both authors participated in writing the article and read and approved the final manuscript.

Supplementary material

11356_2015_6006_MOESM1_ESM.docx (3.3 mb)
ESM 1 (DOCX 3405 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.University of Vechta—Chair of Landscape EcologyVechtaGermany

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