作者: D.M. Scantlebury , R. Doherty , N.J. Marks , S.T. Mullineaux , J.M. McKinley
DOI: 10.1016/J.SCITOTENV.2021.145246
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摘要: Abstract Potentially Toxic Elements (PTEs) otherwise known as heavy metals are ubiquitous in soils and can have a range of negative health environmental impacts. In terrestrial systems understanding how PTEs move the environment is made challenging by complex interactions within soil wider compositional nature PTEs. because data individual sample ratios which may be under sum constraint, where components up to whole. this study three different scenarios were considered, one using centred log ratio transformation (clr) transformation, more “traditional” log10 (log10) untransformed acting comparison (unt) applied four datasets. Three Liver, Muscle Kidney tissue Eurasian Badgers (Meles meles) fourth was extracted from regional geospatial survey. Cluster analysis demonstrated that clr able resolve trends at point sample, whilst unt could not did meet preconditions for next phase analysis. At level between heatmaps isolate PTE relationships highlight commonalities datasets, not. final phase, principal component (PCA) showed similarities signals soft tissues disparities they had with soil, unable achieve this. Overall, shown perform consistently variety analytical approach will provide realistic interpretations about both animal than or conditions.