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. 2017 Dec 27;120(3):219–233. doi: 10.1038/s41437-017-0012-7

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. If you remix, transform, or build upon this article or a part thereof, you must distribute your contributions under the same license as the original. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/.

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Fig. 3 — Genetic landscape shape analysis for Quercus kerrii populations based on a cpDNA variation and on b nSSR variation at ten microsatellite loci. The x and y axes show the geographical locations within a Delaunay triangulation network constructed among the sampled populations. Surface heights reflect genetic distances among populations