Analysis of Stem Growth Pattern in Japanese Cedar (Cryptomeria japonica) Trees in a Natural Forest in Akita, Northeastern Japan.

Sawata, Satoshi; Nishizono, Tomohiro; Awaya, Y.; Nobori, Yoshihiro

doi:10.4005/jjfs.89.200

Cited by 8 publications

(6 citation statements)

References 2 publications

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“…The PAI and MAI of volume continued to increase up to age 75 (Figure 5C). Sawata et al (2007) provided a similar volume growth pattern for a study on Japanese cedar (Cryptomeria japonica), where the PAI of the cedar volume increased up to age 120.…”

Section: Volume Growth Patternmentioning

confidence: 66%

Growth pattern analysis by stem analysis of Korean white pine(Pinus koraiensis)in the central northern region of Korea

Seo

Balekoğlu

Choi

2014

Forest Science and Technology

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The study was performed to find the growth pattern by stem analysis of Korean white pine (Pinus koraiensis) in the Central Northern Region of Korea. One standard tree from each of 16 sites was stemmed and analyzed for the study. For sampled trees, the age range was 16À77 years, diameter at breast height (DBH) was 15.8À44.4 cm, height was 9.3À24.0 m, and stem volume was 0.1002À1.8518 m 3 . The stem volumes by our study had higher values over 40 DBH compared to Korea Forest Research Institute measurements. The bark volume had no particular trend with DBH and height, while bark ratio tended to decrease with DBH and height. The DBH and height curves by age had a concave shape whereas volume curve had a convex shape. The average periodic annual increment (PAI) of DBH was the highest at age 15 (1.0 cm/yr), and the highest value of the mean annual increment (MAI) of DBH was 0.7 cm/yr at age 30. The highest values of PAI and MAI of height were 0.6 m/yr (age 15) and 0.5 m/year (age 25) respectively. The average PAI and MAI of volume continued to increase even after age 75. Growth percentages of DBH, height and volume tended to decrease with age, particularly rapidly at age 20À30. Volume growth percentage was much higher than diameter and height.

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Section: Volume Growth Patternmentioning

confidence: 66%

Growth pattern analysis by stem analysis of Korean white pine(Pinus koraiensis)in the central northern region of Korea

Seo

Balekoğlu

Choi

2014

Forest Science and Technology

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“…Osumi et al (2000) and Nishizono et al (2008) also reported that the mean annual volume increment curve was relatively flat near and beyond culmination. In addition, several studies have reported that old-aged Japanese cedar trees were able to respond to increased resource availability following reduction in stand density by thinning (Kunisaki et al 1999;Osumi et al 2000;Masaki et al 2006;Nishizono et al 2006;Sawata et al 2007). Apparently, thinning is effective among old-aged Japanese cedar trees.…”

Section: Introductionmentioning

confidence: 91%

“…Recognition of this fact has led to some recent studies on growth of stands and individual trees in old-aged Japanese cedar forests (e.g., Kunisaki et al 1999;Osumi et al 2000;Masaki et al 2006;Nishizono et al 2006Nishizono et al , 2008Sawata et al 2007). Osumi et al (2000) and Nishizono et al (2008) reported that stands in the Akita District of northeastern Japan seldom reached culmination of mean annual volume increment until they were 60-years old.…”

Section: Introductionmentioning

confidence: 97%

Effects of thinning and site productivity on culmination of stand growth: results from long-term monitoring experiments in Japanese cedar (Cryptomeria japonica D. Don) forests in northeastern Japan

Nishizono

Tanaka

Hosoda

et al. 2008

Journal of Forest Research

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We analyzed data from 28 long-term experimental monitoring plots installed in Japanese cedar (Cryptomeria japonica D. Don) plantations in northeastern Japan to examine how site productivity and thinning practices relate to culmination in stand growth. Site productivity and thinning practices in the plots were evaluated by site index (dominant tree height at 40-years old) and by cumulative thinning rate (cumulative thinning volume divided by cumulative gross production during the entire period of measurement). Culmination of stand growth was evaluated by culmination age of the mean annual increment (MAI) and its maximum value (Max MAI). Max MAI for the mean annual gross increment (MAIgross) and mean annual net increment (MAInet) increased with increasing site index, but did not change with cumulative thinning rate. Culmination age for MAIgross decreased with increasing site index, but did not change with cumulative thinning rate. Culmination age for MAInet decreased with increasing site index. Additionally, culmination age for MAInet increased with increasing cumulative thinning rate in sites with a high site index ([19.3 m) but not in those with a low site index (\19.3 m). These results indicate that thinning extends the culmination age without changing Max MAInet under high site productivity. Therefore, thinning increases total net yield in sites with high productivity based on a long-term perspective.

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“…Similar results were reported in studies on the stem volume growth of Japanese cedar (Cryptomeria japonica (Thunb. ex L.f.) D.Don) [42] and basal area growth of Norway spruce (Picea abies (L.) H. Karst.)…”

Section: Growth Simulation and Characteristicsmentioning

confidence: 99%

Developing and Comparing Individual Tree Growth Models of Major Coniferous Species in South Korea Based on Stem Analysis Data

Seo

Lee

Choi

2023

Forests

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Tree growth in Korean red pine (Pinus densiflora, hereafter Pd), Korean white pine (Pinus koraiensis, hereafter Pk), and Japanese larch (Larix kaempferi, hereafter Lk) was modeled using Logistic, Korf, Gompertz, Chapman-Richards, and Weibull equations and stem analysis data from sample trees: 38 trees for Pd, 46 trees for Pk, and 45 trees for Lk. The models were fitted to the total increment of tree size variables, diameter at breast height (DBH), height, basal area, and stem volume, as a function of age. After selecting the best-fit growth function, the current annual increment (CAI) and mean annual increment (MAI) were compared for each variable by species. The optimal growth functions were Chapman-Richards for DBH and stem volume, Korf for height, and Gompertz for basal area. The parameter estimates in the final models were all significant (p < 0.01) with best-fit statistics and unbiased residual plots. When plotted with observed values, the growth patterns of each variable were represented properly. The predicted growth curves over age were concave with respect to the Y-axis in DBH and height but lightly convex in basal area, and explicitly convex in stem volume, whereas an asymptote of sigmoid curve in stem volume was not apparent until 100 years. Age with the maximum MAI among variables was arranged similarly to CAI; the age with maximum MAI was earliest for DBH and latest for volume. The maximum growth was achieved earliest in Lk, followed by Pk and Pd. The developed models were able to predict tree size variables and serve as a reference to understand growth characteristics by species.

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Analysis of Stem Growth Pattern in Japanese Cedar (Cryptomeria japonica) Trees in a Natural Forest in Akita, Northeastern Japan.

Cited by 8 publications

References 2 publications

Growth pattern analysis by stem analysis of Korean white pine(Pinus koraiensis)in the central northern region of Korea

Growth pattern analysis by stem analysis of Korean white pine(Pinus koraiensis)in the central northern region of Korea

Effects of thinning and site productivity on culmination of stand growth: results from long-term monitoring experiments in Japanese cedar (Cryptomeria japonica D. Don) forests in northeastern Japan

Developing and Comparing Individual Tree Growth Models of Major Coniferous Species in South Korea Based on Stem Analysis Data

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