• Journal of Korean Society of Forest Science
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• v.79 no.2
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• pp.138-143
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• 1990

In mature stand of Japanese larch (Larix leptolepis(S. et Z.) Gordon) planted in 1925, heartrot damage was investigated by felling some infected trees with fruit bodies of two butt-rot fungi, Phaeolus schweinitzii and Sparassis crispa. Percentage of heartrot area on basal area of decay trees was 19.2-74.4, and the height reached by the decay was 1.2-5.5m. Percentage of decay volume was in the range of 2.2-13.4%, but the loss wood to the height reached by the decay amounted to 27.2% (range 13.1-37.1%) of whole volume, Decay damage caused by S. crispa was much greater than that caused by P. schweinitzii. Compressive strength ($52-77kg/cm^2$) and specific gravity (0.40-0.47) of rot wood was reduced to 77% and 39% respectively in maximum as compared to sound wood of healthy tree, and those of sound-looking wood close by heartrot to 42% and 26%. The current annual growth of trees with decay was fallen behind that of sound tree from eight to fourteen years after planting in D. B. H. and from twelve to twenty-one years after in volume.

• Journal of Korean Society of Forest Science
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• v.111 no.4
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• pp.482-489
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• 2022

This study aimed to determine the optimal planting density of Fraxinus rhynchophylla assessed from the early growth performance at various planting densities over the 7-year period after planting. The study site was in Pyeongchang County, South Korea, and seedlings of 2-year-old (bare-root seedlings) F. rhynchophylla were planted at four densities (3,000, 5,000, 7,000, and 10,000 trees ha^-1) in March 2015. The survival rate, root-collar diameter (RCD), and height (H) were measured from 2015 to 2021, and the H/D (H/RCD) ratio and stem volume were calculated. The survival rate (84-97%) and H/D ratio (54.5-59.2%) were not affected by the planting density during the study period, but the RCD, H, and stem volume were significantly higher for 7,000 trees ha^-1 than for other planting densities. Especially, the stem volume (cm³ tree^-1) at 7 years after planting was highest for 7,000 trees ha^-1 (1,356.1), followed by 10,000 trees ha^-1 (958.6), 5,000 trees ha^-1 (773.0), and 3,000 trees ha^-1 (579.5). As the planting density increased, F. rhynchophylla seedlings showed initial rapid growth due to light competition, but relatively low growth at excessive planting densities. In the future, use of a suitable planting density considering planting costs should provide outstanding growth performance of F. rhynchophylla on plantations.

• Journal of Korean Society of Forest Science
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• v.98 no.6
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• pp.633-638
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• 2009

This study was conducted to develop stem taper equations and stem volume tables for Eucalyptus pellita and Acacia mangium plantations in Kalimantan, Indonesia. To derive a most adequate taper equation for the plantations, three models - Max & Burkhart, Kozak, and Lee models - were applied and their fitness were statistically analyzed by using fitness index, bias, and standard error of bias. The result showed that there is no significant difference between the three models, but the fitness index was slightly higher in the Kozak model. Therefore, the Kozak model was chosen for generating stem taper equations and stem volume tables for the Eucalyptus pellita and Acacia mangium plantations. The resulted stem volume table was compared to the local volume table used in Kalimantan regions, but no significant difference was found in the stem volume estimation. It is expected that the results of this study would provide a good information about the tree growth in abroad plantations and support a reliable decision-making for their management.

• Journal of Korean Society of Forest Science
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• v.108 no.3
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• pp.357-363
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• 2019

This study was conducted to develop a stem volume table for Quercus acutissima in Korea by using Kozak's stem taper equation. In total, 2700 tree samples were collected around the country, and growth performance was investigated through compiling data on diameters by stem height and stem analysis. In order to test the stem taper equation's fitness, the fitness index (FI), bias, and mean absolute deviation (MAD) were analyzed. The fitness of the equation was estimated at 97%, bias as 0.017, and MAD turned out to be 1.118, respectively. Furthermore, there was a statistically significant volume difference between the current volume table and the new volume table (p = 0.0008, <0.005). The result indicates that using the new volume table that reflects the actual forest will reduce the loss when assessing wood resources and will improve the accuracy of forest statistics for national and local governments. A stem volume table, the main result of this research, which is utilized in the estimated stem taper equation, will provide growth information for Quercus acutissima, one of the main broadleaf species in Korea, and will function as a management indicator for rational forest management.

• Asian Journal of Turfgrass Science
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• v.16 no.2
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• pp.107-114
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• 2002

In this study, We measured air temperature in a vegetated area to investigate if stand types and height affect air temperature. With the measured data, we analyzed the relation-ships between air temperature vs. ground cover type, vegetated area, stand structure, stand density, and tree volume by regression analysis. The results show that the paved area and open field have higher air temperatures than the vegetated area and water-related areas. Among the stand types, the stand with overstory and sub-overstory showed relatively low are temperature. The stand with overstory had lower air temperature than the stand with sub-overstory. Increasing stand density was effective for lowering air temperature.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.391-406
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• 2015

Social media have emerged as new communication channels between consumers and companies that generate a large volume of unstructured text data. This social media content, which contains consumers' opinions and interests, is recognized as valuable material from which businesses can mine useful information; consequently, many researchers have reported on opinion-mining frameworks, methods, techniques, and tools for business intelligence over various industries. These studies sometimes focused on how to use opinion mining in business fields or emphasized methods of analyzing content to achieve results that are more accurate. They also considered how to visualize the results to ensure easier understanding. However, we found that such approaches are often technically complex and insufficiently user-friendly to help with business decisions and planning. Therefore, in this study we attempt to formulate a more comprehensive and practical methodology to conduct social media opinion mining and apply our methodology to a case study of the oldest instant noodle product in Korea. We also present graphical tools and visualized outputs that include volume and sentiment graphs, time-series graphs, a topic word cloud, a heat map, and a valence tree map with a classification. Our resources are from public-domain social media content such as blogs, forum messages, and news articles that we analyze with natural language processing, statistics, and graphics packages in the freeware R project environment. We believe our methodology and visualization outputs can provide a practical and reliable guide for immediate use, not just in the food industry but other industries as well.

• Journal of Forest and Environmental Science
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• v.39 no.4
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• pp.195-202
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• 2023

In this study, we sought to compare and evaluate the accuracy and predictive performance of machine learning algorithms for estimating the growth of individual Larix kaempferi trees in Gangwon Province, Korea. We employed linear regression, random forest, XGBoost, and LightGBM algorithms to predict tree growth using monitoring data organized based on different thinning intensities. Furthermore, we compared and evaluated the goodness-of-fit of these models using metrics such as the coefficient of determination (R²), mean absolute error (MAE), and root mean square error (RMSE). The results revealed that XGBoost provided the highest goodness-of-fit, with an R² value of 0.62 across all thinning intensities, while also yielding the lowest values for MAE and RMSE, thereby indicating the best model fit. When predicting the growth volume of individual trees after 3 years using the XGBoost model, the agreement was exceptionally high, reaching approximately 97% for all stand sites in accordance with the different thinning intensities. Notably, in non-thinned plots, the predicted volumes were approximately 2.1 m³ lower than the actual volumes; however, the agreement remained highly accurate at approximately 99.5%. These findings will contribute to the development of growth prediction models for individual trees using machine learning algorithms.

• Journal of Bio-Environment Control
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• v.16 no.3
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• pp.217-221
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• 2007

To provide the basic data essential for developing varieties of broad-leaved tree, the study investigated the utmost growth requirement for the growth characteristic and biomass production in accordance with planting density of Styrax obassia. The planting density of seedling can be a significant factor in contributing growth of seedling for tree growing in general. While growth of tree according to $1m^2$ planting density of Styrax obassia showed an excellent growth in tree height and the root collar diameter from $49no./m^2$, those low planting density showed decreased tendency with tree height growth while increasing the root collar diameter growth. As similar to the growth characteristic, the biomass production showed significant and statistic difference in $49no./m^2$, showing high volume of biomass production which is $3.12{\pm}0.80g$ compare to other processing section and high figure with T/R ratio which is 1.59. The special trait of photosynthetic also showed relatively high photosynthetic rate in $49no./m^2\;and\;64no./m^2$ of Styrax obassia and as the density increase, photosynthetic efficiency decreased. The plant showed stable and physiological planting pattern, displaying the best photosynthetic rate, which was the final metabolism through reserving proper space in the growth and development environment condition. This obstacle of required space essential for growth substantially deteriorated planting and ultimately, it demonstrated lower tendency of photosynthetic rate, which is the highest level of metabolism.

• Journal of Korean Society of Forest Science
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• v.100 no.1
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• pp.62-69
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• 2011

Six commonly used non-linear growth functions were fitted to individual tree height-dbh data of eight major tree species measured by the $5^{th}$ National Forest Inventory in Chungcheong province. A total of 2,681 trees were collected from permanent sample plots across Chungcheong province. The available data for each species were randomly splitted into two sets: the majority (90%) was used to estimate model parameters and the remaining data (10%) were reserved to validate the models. The performance of the models was compared and evaluated by $R^2$, RMSE, mean difference (MD), absolute mean difference (AMD) and mean difference(MD) for diameter classes. The combined data (100%) were used for final model fitting. The results showed that these six sigmoidal models were able to capture the height-diameter relationships and fit the data equally well, but produced different asymptote estimates. Sigmoidal growth models such as Chapman-Richards, Weibull functions provided the most satisfactory height predictions. The effect of model performance on stem volume estimation was also investigated. Tree volumes of different species were computed by the Forest Resources Evaluation and Prediction Program using observed range of diameter and the predicted tree total height from the six models. For trees with diameter less than 30 cm, the six height-dbh models produced very similar results for all species, while more differentiation among the models was observed for large-sized trees.

• Horticultural Science & Technology
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• v.28 no.3
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• pp.374-380
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• 2010

Well-feathered (5.2 feathers, stem diameter 13 mm) trees of 'Fuji' apple/ M.9 EMLA were planted at $4.0{\tiems}1.5$ m and whip trees (stem diameter 10 mm) of 'Fuji'/M.26 at $4.0{\times}2.0$ m were trained to the slender spindle. The productivity and yield efficiency of two orchard systems were compared for 6 years. The canopy volume of the tree/M.9 EMLA reached $2.07m^3$ in 2nd year and increased slowly to almost the targeted tree volume of $2.9m^3$ in 4th year. Trees/M.26 grew slowly at the begin but from 3rd year the tree volume expanded quickly to reach $5.6m^3$ in 5th year, covering over the allowed space. Yield of M.9 EMLA per 10a increased from 0.3 ton in 2nd year to 4.6 ton in 5th year, and 5.0 ton in 6th year, but yield of M.26 per 10a increased from 0.5 ton in 3rd to 2.9 ton in 6th year. Cumulative yield per 10a up to 6th year was 13.9 ton for M.9 EMLA but only 9.8 ton for M.26. Fruit weight for M.9 EMLA was heavier than that for M.26. In conclusion, the high density planting system with well-feathered trees/M.9 EMLA was better than the conventional wide planting system with whip trees/M.26.