Literature DB >> 30027373

Site-specific investigation and spatial modeling of canopy drip effect on element concentrations in moss.

Winfried Schröder1, Stefan Nickel2.   

Abstract

In this study, the canopy drip effect on the exposure of forests to atmospheric deposition of potentially toxic metals and nitrogen (N) and element accumulation was investigated. Thereby, the respective element concentrations of metals and N in moss specimens were investigated by example of North-Western Germany. To this end, on the one hand, the concentrations of Al, As, Cd, Cr, Cu, Fe, Hg, Pb, Ni, Sb, V, Zn, and N in mosses sampled under, outside, and at the edge of forest canopies were examined for statistical significant differences. On the other hand, vegetation structures parameterizing the canopy drip effect were quantified by use of information collected, in addition to the element data, at each moss sampling site. The statistical relations between ratios of vegetation parameters and ratios of element concentrations were modeled by regression analysis, and the respective element concentration in moss was geostatistically estimated and mapped for unsampled locations throughout Germany. This article tackles regression models with R2 > 0.5 (Cu, Hg, Pb, Sb, and N) to adapt the element concentrations measured at the 400 sites of the European Moss Survey (EMS) to three different features of hypothetical vegetation structures. To this end, the continuum of vegetation structures were represented as follows: open land (meadows) described by a leaf area index (LAI) value of 2.96 and under canopy sites in coniferous forests represented by a LAI value of 11. The arithmetic mean of LAI values at 400 EMS sites throughout Germany amounts to 5.1. The element concentrations for these target LAIs representing three site categories were calculated and mapped. Then, these LAI-dependent element concentration maps were compared with the maps depicting the spatial patterns of "pure" element concentrations. Spatial differences were evaluated and supposed to be of great value for the validation of atmospheric deposition modeling.

Entities:  

Keywords:  Atmospheric deposition; Bio-accumulation; Geostatistics; Heavy metals; Mapping; Nitrogen

Mesh:

Substances:

Year:  2018        PMID: 30027373     DOI: 10.1007/s11356-018-2763-y

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  8 in total

1.  Relevance of canopy drip for the accumulation of nitrogen in moss used as biomonitors for atmospheric nitrogen deposition in Europe.

Authors:  Michaela Meyer; Winfried Schröder; Stefan Nickel; Sébastien Leblond; Antti-Jussi Lindroos; Karsten Mohr; Jarmo Poikolainen; Jesus Miguel Santamaria; Mitja Skudnik; Lotti Thöni; Burkhard Beudert; Helga Dieffenbach-Fries; Hubert Schulte-Bisping; Harald G Zechmeister
Journal:  Sci Total Environ       Date:  2015-08-28       Impact factor: 7.963

Review 2.  GIS, geostatistics, metadata banking, and tree-based models for data analysis and mapping in environmental monitoring and epidemiology.

Authors:  Winfried Schröder
Journal:  Int J Med Microbiol       Date:  2006-04-04       Impact factor: 3.473

3.  Methodology to assess and map the potential development of forest ecosystems exposed to climate change and atmospheric nitrogen deposition: A pilot study in Germany.

Authors:  Winfried Schröder; Stefan Nickel; Martin Jenssen; Jan Riediger
Journal:  Sci Total Environ       Date:  2015-03-30       Impact factor: 7.963

4.  Potential environmental factors that influence the nitrogen concentration and δ(15)N values in the moss Hypnum cupressiforme collected inside and outside canopy drip lines.

Authors:  Mitja Skudnik; Zvonka Jeran; Franc Batič; Primož Simončič; Damijana Kastelec
Journal:  Environ Pollut       Date:  2015-01-05       Impact factor: 8.071

5.  Origin and spatial distribution of metals in moss samples in Albania: A hotspot of heavy metal contamination in Europe.

Authors:  Pranvera Lazo; Eiliv Steinnes; Flora Qarri; Shaniko Allajbeu; Sonila Kane; Trajce Stafilov; Marina V Frontasyeva; Harry Harmens
Journal:  Chemosphere       Date:  2017-09-28       Impact factor: 7.086

6.  Effect of vegetation type on throughfall deposition and seepage flux.

Authors:  A De Schrijver; J Staelens; K Wuyts; G Van Hoydonck; N Janssen; J Mertens; L Gielis; G Geudens; L Augusto; K Verheyen
Journal:  Environ Pollut       Date:  2007-10-22       Impact factor: 8.071

7.  Influence of canopy drip on the indicative N, S and δ(15)N content in moss Hypnum cupressiforme.

Authors:  Mitja Skudnik; Zvonka Jeran; Franc Batič; Primož Simončič; Sonja Lojen; Damijana Kastelec
Journal:  Environ Pollut       Date:  2014-04-03       Impact factor: 8.071

8.  Learning accurate and interpretable models based on regularized random forests regression.

Authors:  Sheng Liu; Shamitha Dissanayake; Sanjay Patel; Xin Dang; Todd Mlsna; Yixin Chen; Dawn Wilkins
Journal:  BMC Syst Biol       Date:  2014-10-22
  8 in total

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