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Journal of Atmospheric Chemistry

, Volume 49, Issue 1–3, pp 23–38 | Cite as

Integrative Monitoring Analysis Aiming at the Detection of Spatial and Temporal Trends of Metal Accumulation in Mosses

  • Winfried Schröder
  • Roland Pesch
Article

Abstract

Goal and Scope. The UNECE heavy metals in Mosses Surveys provide data on the accumulation of metals in naturally growing mosses throughout Europe. Using Germany as an example, this article concentrates on the elaboration and application of methods of data analysis that are necessary for a comprehensive interpretation of spatial and temporal trends in metal accumulation.

Methods and Results. The sampling of mosses, and the chemical analysis of Cr, Cu, Fe, Ni, Pb, Ti, V and Zn in 1990, 1995 and 2000 are summarized briefly. The variogram analyses detect distinct autocorrelation structures in the sample data which may consequently be estimated for all sites in Germany without monitoring metal accumulation by means of ordinary kriging. A procedure for the geostatistical detection of spatial outliers was developed and applied and, after the elimination of the spatial outliers, several measurements were seen to indicate an adequate quality of the geostatistical estimations. The cluster analyses of the z-transformed estimation data result in a nominal multi-element index that indicates regional metal accumulation types over time. Percentile statistics serve for computation of an ordinal, scaled, multi-element accumulation index which is spatially differentiated over time in terms of multivariate, statistically defined ecoregions. The integrative statistical analysis reveals, from 1990 to 2000, that the metal accumulation declines up to 80% in some of the ecoregions. Hot spots of metal accumulation are mapped and interpreted by means of metadata analysis.

Conclusions. Dot maps depict the spatial structure of the metal accumulation without spatial bias. This information, detailed with respect to metal species and space, should be generalized for better supporting the interpretation. The combination of geostatistical analysis and estimation, percentile and multivariate statistics is suitable for the calculation of indices that serve for a comprehensive mapping of metal accumulation in the ecoregions over time, for quantifying the bias of the surface estimation, and for mapping spatial outliers and hot spots of metal accumulation.

Keywords

biomonitoring cluster analysis ecoregions geo information system (GIS) geostatistics metadata analysis multi-element accumulation indices 

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References

  1. Buse, A., Norris, D., Harmens, H., Büker, P., Ashenden, T., and Mills, G., 2003: Heavy Metals in European Mosses: 2000/2001 Survey, ICP Vegetation Coordination Centre, CEH, Bangor, UK.Google Scholar
  2. Breure, A. M. Markert, B. A. and Zechmeister, H. G. (eds.), 2003: Bioindicators, Biomonitors, Elsevier, Amsterdam.Google Scholar
  3. Fränzle, O., Straskaba, M., and Jorgensen, S. E., 1995: Ecology and Ecotoxicology, Ullmann’s Encyclopedia of Industrial Chemistry, Vol. B7, pp. 19–154.Google Scholar
  4. Gydesen, H., Pilegaard, K., Rasmussen, L., and Rühling, A., 1983: Moss Analyses used as a Means of Surveying the Atmospheric Heavy-Metal Deposition in Sweden, Denmark and Greenland in 1980, Bulletin SNV 1670, Copenhagen.Google Scholar
  5. Herpin, U., Lieth, H., and Markert, B., 1995: Monitoring der Schwermetallbelastung in der Bundesrepublik Deutschland mit Hilfe von Moosanalysen, UBA-Texte 31/95, Berlin.Google Scholar
  6. Markert, B., 1996: Instrumental Element and Multielement Analysis of Plant Samples. Methods and Applications, Wiley, Chichester.Google Scholar
  7. Mucha, H. J., 1984: Clusteranalyse, automatische Klassifikation, in W. Schröder, L. Vetter, and O. Fränzle (eds.), Neuere statistische Verfahren und Modellbildung in der Geoökologie, Vieweg, Braunschweig, Wiesbaden, pp. 109–127.Google Scholar
  8. Olea, R. A., 1999: Geostatistics for Engineers and Earth Scientists, Kluwer Academic Publishers, Boston, Dordrecht, London.Google Scholar
  9. Rühling, A., Rasmussen, L. Mäkinen, A., Pilegaard, K., and Steinnes, E. 1987: Survey of the Heavy-Metal Deposition in the Nordic Countries in 1985 Monitored by Moss Analysis, NORD 1987, 21, Göteborg.Google Scholar
  10. Rühling, A. (ed.), 1994: Atmospheric Heavy Metal Deposition in Europe. Estimations Based on Moss Analysis. NORD 1994, 9, Copenhagen, Stockholm.Google Scholar
  11. Rühling, A., Steinnes, E., and Berg, T., 1996: Atmospheric Heavy Metal Deposition in Northern Europe 1995, NORD 1996:37, Copenhagen.Google Scholar
  12. Rühling, A., and Steinnes, E., 1998: Atmospheric Heavy Metal Deposition in Northern Europe 1995–1996, NORD 1998, 15, Copenhagen.Google Scholar
  13. Schröder, W., Anhelm, P., Bau, H., Matter, Y., Mitze, R., Mohr, K., Peichl, L., Peiter, A., Peronne, T., Pesch, R., Roostai, H., Roostai, Z., Schmidt, G., and Siewers, U., 2002: Untersuchungen von Schadstoffeinträgen anhand von Bioindikatoren: Aus- und Bewertung der Ergebnisse aus dem Moos-Monitoring 1990/91, 1995/96 und 2000/01, 3 Bde., Umweltbundesamt, Berlin.Google Scholar
  14. Schröder, W., and Schmidt, G., 2001: Defining Ecoregions as Framework for the Assessment of Ecological Monitoring Networks in Germany by Means of GIS and Classification and Regression Trees (CART), Gate to EHS 2001, pp. 1–9 [DOI: http://dx.doi.org/10.1065/ehs2001.03.006].
  15. Schröder, W., Schmidt, G., and Pesch, R., 2003: Harmonization of Environmental Monitoring. Instruments for the Examination of Methodical Comparability and Spatial Representativity. In: Gate to Environmental and Health Sciences (http://dx.doi.org/10.1065/ehs2003.07.010).
  16. Siewers, U., and Herpin, U., 1998: Schwermetalleinträge in Deutschland. Moos-Monitoring 1995, Geologisches Jahrbuch, Sonderhefte, Heft SD 2, Stuttgart.Google Scholar
  17. Siewers, U., Herpin, U., and Straßburger, S., 2000: Schwermetalleinträge in Deutschland. Moos-Monitoring 1995, Teil 2, Geologisches Jahrbuch, Sonderhefte, Heft SD 3, Stuttgart.Google Scholar
  18. Stevens, S. S., 1946: On the theory of measurement, Sci. 103, 677–680.Google Scholar
  19. UNECE, 2002: ICP Vegetation Experimental Protocol for the 2001 Season, ICP Vegetation Coordination Centre, CEH, Bangor, UK.Google Scholar
  20. Weber-Blaschke, G., Frieß, H., Peichl, L., and Faulstich, M., 2002: Aktuelle Entwicklungen bei Umweltindikatorensystemen, Umweltwissenschaften und Schadstoff-Forschung — Zeitschrift für Umweltchemie und Ökotoxikologie 14(3), 187–193.Google Scholar
  21. Webster, R., and Oliver, M. A., 2001: Geostatistics for Environmental Scientists, Wiley, Chichester.Google Scholar

Copyright information

© Kluwer Academic Publishers 2004

Authors and Affiliations

  1. 1.Institut für UmweltwissenschaftenHochschule VechtaVechtaGermany

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