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First Europe-wide correlation analysis identifying factors best explaining the total nitrogen concentration in mosses
Authors:Winfried Schröder  Marcel Holy  Roland Pesch  Harry Harmens  Hilde Fagerli  Renate Alber  Mahmut Coşkun  Ludwig De Temmerman  Marina Frolova  Laura González-Miqueo  Zvonka Jeran  Eero Kubin  Sébastien Leblond  Siiri Liiv  Blanka Maňkovská  Juha Piispanen  Jesús M. Santamaría  Primož Simonèiè  Ivan Suchara  Lilyana Yurukova  Harald G. Zechmeister
Affiliation:1. Centre for Catchment and Coastal Research and River Basin Dynamics and Hydrology Research Group, Department of Geography and Earth Sciences, Aberystwyth University, Ceredigion SY23 3DB, United Kingdom;2. Institute of Biological, Environmental and Rural Sciences, Animal Systems Research Group, Aberystwyth University, Ceredigion SY23 3FG, United Kingdom;1. The University of York, Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, Heslington, York YO10 5DD, UK;2. National Centre for Atmospheric Science, The University of York, Department of Chemistry, Heslington, York YO10 5DD, UK;3. Department of Analytical Chemistry and Organic Chemistry, Universitat Rovira i Virgili, Marcel·lí Domingo s/n, Sescelades Campus, Tarragona 43007, Spain;1. British Geological Survey, Maclean Building, Wallingford, Oxfordshire OX10 8BB, UK;2. British Geological Survey, Keyworth, Nottingham NG12 5GG, UK
Abstract:
In this study, the indicative value of mosses as biomonitors of atmospheric nitrogen (N) depositions and air concentrations on the one hand and site-specific and regional factors which explain best the total N concentration in mosses on the other hand were investigated for the first time at a European scale using correlation analyses. The analyses included data from mosses collected from 2781 sites across Europe within the framework of the European moss survey 2005/6, which was coordinated by the International Cooperative Programme on Effects of Air Pollution on Natural Vegetation and Crops (ICP Vegetation). Modelled atmospheric N deposition and air concentration data were calculated using the Unified EMEP Model of the European Monitoring and Evaluation Programme (EMEP) of the Convention on Long-range Transboundary Air Pollution (CLRTAP). The modelled deposition and concentration data encompass various N compounds. In order to assess the correlations between moss tissue total N concentrations and the chosen predictors, Spearman rank correlation analysis and Classification and Regression Trees (CART) were applied. The Spearman rank correlation analysis showed that the total N concentration in mosses and modelled N depositions and air concentrations are significantly correlated (0.53 ≤ rs ≤ 0.68, p < 0.001). Correlations with other predictors were lower than 0.55. The CART analysis indicated that the variation in the total N concentration in mosses was best explained by the variation in NH4+ concentrations in air, followed by NO2 concentrations in air, sampled moss species and total dry N deposition. The total N concentrations in mosses mirror land use-related atmospheric concentrations and depositions of N across Europe. In addition to already proven associations to measured N deposition on a local scale the study at hand gives a scientific prove on the association of N concentration in mosses and modelled deposition at the European scale.
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