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. 2020 Sep 2;41(1):1–11. doi: 10.1093/treephys/tpaa110

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© The Author(s) 2020. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 6. — The model predicts that a tree with lower wood density (ρ_w) and higher mortality (m₁) grows to a larger size. We compare growth trajectories for trees with lower wood density or higher mortality (a) and examine the change in growth trajectory when wood density and mortality are changed simultaneously (b). The relationship between the wood change in density and mortality was calculated , and the number m³ kg⁻¹ was determined as the mean slope from Figure 1 in Iida et al. (2012). The circle at the end of each growth trajectory signals the final size, and when seed production starts. All trees were subjected to the same light condition (height at maximum light gradient, H_dQmax = 10 m, maximum light gradient, dQ_max = 0.25 m⁻¹ and initial light level, Q₀ = 0.27).

Inline graphic — The model predicts that a tree with lower wood density (ρ_w) and higher mortality (m₁) grows to a larger size. We compare growth trajectories for trees with lower wood density or higher mortality (a) and examine the change in growth trajectory when wood density and mortality are changed simultaneously (b). The relationship between the wood change in density and mortality was calculated , and the number m³ kg⁻¹ was determined as the mean slope from Figure 1 in Iida et al. (2012). The circle at the end of each growth trajectory signals the final size, and when seed production starts. All trees were subjected to the same light condition (height at maximum light gradient, H_dQmax = 10 m, maximum light gradient, dQ_max = 0.25 m⁻¹ and initial light level, Q₀ = 0.27).