Hasse Diagram Technique Can Further Improve the Interpretation of Results in Multielemental Large-Scale Biomonitoring Studies of Atmospheric Metal Pollution

Stergios Pirintsos (), Michael Bariotakis, Vaios Kalogrias, Stella Katsogianni and Rainer Brüggemann
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Stergios Pirintsos: University of Crete, Department of Biology
Michael Bariotakis: University of Crete, Department of Biology
Vaios Kalogrias: University of Crete, Department of Biology
Stella Katsogianni: University of Crete, Department of Biology
Rainer Brüggemann: Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Department of Ecohydrology

Chapter Chapter 11 in Multi-indicator Systems and Modelling in Partial Order, 2014, pp 237-251 from Springer

Abstract: Abstract Lichens and mosses have extensively been used in multielemental large-scale biomonitoring studies of atmospheric metal pollution. Despite its high importance in the assessment of cumulative risk and the communication with risk managers, the presentation and interpretation of biomonitoring results have only been partially the center of interest for a standardized methodology and for the harmonization of the techniques. Here we attempt to expand and improve the up-to-date formal presentation of biomonitoring results, combining the Hasse diagram technique with GIS techniques. The implementation using real data has demonstrated that such an expansion and improvement, in the direction of cumulative risk assessment and management, is feasible and it is suggested for incorporation in biomonitoring studies.

Keywords: Partial Order; Ordinary Kriging; Cumulative Risk; Maximal Chain; High Naturality (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-8223-9_11

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DOI: 10.1007/978-1-4614-8223-9_11

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