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. 2016 Oct 27;4:e2628. doi: 10.7717/peerj.2628

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©2016 Larsson et al.

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

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Results from a conditioned constrained principal coordinate analysis (cPCoA), based on Baltic Proper sites. Here, location and species identity are used as conditions and pollution type as constraining variable. The effect of pollution type is significant (df = 1, P-value = 0.016). The ordination plot shows the effect of pollution type when the variation explained by geographic location and species identity is removed from the ordination. The centroids of each pollution type (STP and REF) are indicated by their abbreviations.