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. 2019 Feb 21;10:205. doi: 10.3389/fpls.2019.00205

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Copyright © 2019 Göttlinger, Schwerdtfeger, Tiedge and Lohaus.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Loadings and scatterplot of PCA in rotated space (pollinator and taxonomic groups). In the PCA, the statistically analyzed samples were selected according to their pollinator and their taxonomic groups (genera). (A) Loading plot, which illustrate the original variables loaded as vectors in PCA space. The first principal component (PC 1) describes 31.9% and the second principal component (PC 2) describes 14.3% of the dataset variation. (B) Scatterplot of PCA, in which the data are grouped by pollinator (markings) and genus (colors).