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. 2018 Oct 17;9:1444. doi: 10.3389/fpls.2018.01444

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Copyright © 2018 Liu, Deng, Wang, Ni, Wang, Xiao, Lei, Jiang and Li.

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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Partial correlation analysis for dependent variables (soluble sugar, starch, NSC, ratio of sugar to starch, N, P, and ratio of N to P) and environmental factors (latitude, longitude, elevation, soil N, soil P, precipitation, and monthly mean temperature) where tree age and tree tissue were regarded as control factors [(A): growing season; (B): dormant season]. Significantly positive or negative correlations (p < 0.05) are displayed in blue and in red color, respectively; and color intensity and circle size are proportional to the correlation coefficients.