Literature DB >> 28283296

Spatial analysis of trace elements in a moss bio-monitoring data over France by accounting for source, protocol and environmental parameters.

Emeline Lequy1, Nicolas P A Saby2, Ilia Ilyin3, Aude Bourin4, Stéphane Sauvage4, Sébastien Leblond5.   

Abstract

Air pollution in trace elements (TE) remains a concern for public health in Europe. For this reasons, networks of air pollution concentrations or exposure are deployed, including a moss bio-monitoring programme in Europe. Spatial determinants of TE concentrations in mosses remain unclear. In this study, the French dataset of TE in mosses is analyzed by spatial autoregressive model to account for spatial structure of the data and several variables proven or suspected to affect TE concentrations in mosses. Such variables include source (atmospheric deposition and soil concentrations), protocol (sampling month, collector, and moss species), and environment (forest type and canopy density, distance to the coast or the highway, and elevation). Modeled atmospheric deposition was only available for Cd and Pb and was one of the main explanatory variables of the concentrations in mosses. Predicted soil content was also an important explanatory variable except for Cr, Ni, and Zn. However, the moss species was the main factor for all the studied TE. The other environmental variables affected differently the TE. In particular, the forest type and canopy density were important in most cases. These results stress the need for further research on the effect of the moss species on the capture and retention of TE, as well as for accounting for several variables and the spatial structure of the data in statistical analyses.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Autocorrelation; Cadmium; ICP-vegetation; Lead; Spatial autoregressive model

Year:  2017        PMID: 28283296     DOI: 10.1016/j.scitotenv.2017.02.240

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Improvement of Spatial Modeling of Cr, Pb, Cd, As and Ni in Soil Based on Portable X-ray Fluorescence (PXRF) and Geostatistics: A Case Study in East China.

Authors:  Fang Xia; Bifeng Hu; Shuai Shao; Dongyun Xu; Yue Zhou; Yin Zhou; Mingxiang Huang; Yan Li; Songchao Chen; Zhou Shi
Journal:  Int J Environ Res Public Health       Date:  2019-07-28       Impact factor: 3.390

2.  Heavy Metal Pollution Delineation Based on Uncertainty in a Coastal Industrial City in the Yangtze River Delta, China.

Authors:  Bifeng Hu; Ruiying Zhao; Songchao Chen; Yue Zhou; Bin Jin; Yan Li; Zhou Shi
Journal:  Int J Environ Res Public Health       Date:  2018-04-10       Impact factor: 3.390

3.  Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China.

Authors:  Shuai Shao; Bifeng Hu; Zhiyi Fu; Jiayu Wang; Ge Lou; Yue Zhou; Bin Jin; Yan Li; Zhou Shi
Journal:  Int J Environ Res Public Health       Date:  2018-06-12       Impact factor: 3.390

  3 in total

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