Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
The vertical distribution of the cross-sectional area increment of the lower trunk in aged Sugi (Cryptomeria japonica) trees was analyzed using annual ring data from disks. We collected data from three approximately 90-year-old mature plantations under different density management and three old-growth stands of 160 years or more. Of the nine sample trees in the thinning experiment plots, only three had significantly higher cross-sectional area increments at a relative height of 0.2 × tree height (0.2h) than the mean cross-sectional area increment. This result did not strongly support the hypothesis that several trees in mature stands that are thinned regularly may show a heightening trend in the cross-sectional area increment of the lower trunk. In contrast, the cross-sectional area increment at 0.2h was significantly higher than the mean cross-sectional area increment for all three sample trees in the old-growth stands. A generalized linear mixed model with the presence or absence of a heightening trend in the cross-sectional area increment of the lower trunk as a response variable was used for 20 sample trees. The results showed that the model with the ratio of height to diameter at breast height (H/D ratio) and relative spacing index (Sr) as fixed effects was optimal. The probability of trees showing a heightening trend in the cross-sectional area increment of the lower trunk increased with a lower H/D ratio and a higher Sr at the most recent values. We estimated that if stand density is maintained at an Sr≥19%, where the forest canopy is sparse, a heightening trend of cross-sectional area increment at the lower part of the trunk occurs in trees with a H/D ratio of ≤71.
The vertical distribution of the cross-sectional area increment of the lower trunk in aged Sugi (Cryptomeria japonica) trees was analyzed using annual ring data from disks. We collected data from three approximately 90-year-old mature plantations under different density management and three old-growth stands of 160 years or more. Of the nine sample trees in the thinning experiment plots, only three had significantly higher cross-sectional area increments at a relative height of 0.2 × tree height (0.2h) than the mean cross-sectional area increment. This result did not strongly support the hypothesis that several trees in mature stands that are thinned regularly may show a heightening trend in the cross-sectional area increment of the lower trunk. In contrast, the cross-sectional area increment at 0.2h was significantly higher than the mean cross-sectional area increment for all three sample trees in the old-growth stands. A generalized linear mixed model with the presence or absence of a heightening trend in the cross-sectional area increment of the lower trunk as a response variable was used for 20 sample trees. The results showed that the model with the ratio of height to diameter at breast height (H/D ratio) and relative spacing index (Sr) as fixed effects was optimal. The probability of trees showing a heightening trend in the cross-sectional area increment of the lower trunk increased with a lower H/D ratio and a higher Sr at the most recent values. We estimated that if stand density is maintained at an Sr≥19%, where the forest canopy is sparse, a heightening trend of cross-sectional area increment at the lower part of the trunk occurs in trees with a H/D ratio of ≤71.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.