The purpose of this study is to analyze the effect of thinning intensity on the growth of large diameter trees in Korean white pine (Pinus koraiensis S. et Z.) plantation. Eight thinning plots were analyzed by categorizing into heavy thinning, light thinning, no thinning (control) according to thinning intensity. As a result, average DBH increased more in heavy thinning plots than in light thinning or unthinned plots. The number of large trees (DBH>25 cm) were obviously shown the most in heavy thinning plots. It is considered that heavy thinning is needed for the production of the large diameter trees.
This study analyzed the impact of climatic and topographic factors on tree radial growth of Pinus densiflora and Quercus spp. in central regions of Korea. To find the relationship between annual tree radial growth and climatic factors, we took the core samples from individual trees and measured the tree radial width. On the assumption that the tree radial growth is related to the tree age, we estimated the radial growth by the tree age as an independent variable. Also, we estimated the standard growth, defined as the radial growth of trees aged 30. As results, we found the spatial auto-correlation in the radial growth of the red pine. Moreover, we also found the relationships between climatic and topographic and the standard growth using the GAM (Generalized Additive Model). Increase of temperature has negative impacts on the radial growth of Pinus densiflora, while it has positive impacts on the radial growth of Quercus spp.. On the other hands, increase of precipitation has negative impacts on the radial growth of both species. Lastly, we predicted the spatial distribution changes of Pinus densiflora and Quercus spp. using the temperature increase scenario and the Geographic Information System (GIS) based forest type map. We could predict that Pinus densiflora is more vulnerable than Quercus spp. to climate change so that the habitats of Pinus densiflora will be gradually changed to the habitats of Quercus spp. in eastern coastal and southern regions of Korea after 60 years.
Purpose: Smoking is a way of coping with anxiety and stress. This study aimed to identify the effects of forest-thermal combined therapy on anxiety and depression in smokers who desire to quit smoking. Methods: Thirty participants were included in the study, 15 in the experimental group and 15 in the control group. Those in the experimental group participated in a three-day forest-thermal combined therapy program. The program includes forest walks, meditation and thermal therapy in the charcoal kiln. Results: Before and after the program, physiological indicators such as cortisol, heart rate variability, and serotonin anxiety level using the state-trait anxiety inventory (STAI), and stress level using the psychosocial well-being index (PWI) were measured in both groups. The differences in STAI (p=.012) and PWI (p=.006) scores between the experimental and control groups were statistically significant. However, cortisol, heart rate variability, and serotonin were not significantly different between the two groups after the program. Conclusion: These results show that forest-thermal combination therapy effectively reduces anxiety and stress in smokers. It suggests that forest-thermal therapy can potentially increase smoking cessation rates. Key Words: Anxiety; Forest; Stress; Thermotherapy; Smoking
Semiconductor manufacturing's full chip RET/OPC operations rely on the process models calibrated against metrology data collected from custom designed test structures. Physics-based compact models and machine learning models inherently carry the issue of model coverage often synonymous with calibration test pattern coverage. Therefore, process models frequently fail to predict unseen patterns within error tolerance. With the push for advanced technology node, such events can even occur after a node is declared HVM ready. Foundries have been combating the model coverage deficiency through costly model revisions, or expensive repair flows. There has always been the desire to have capability to screen and enhance compact model of potential coverage issue. In this paper, we use the machine learning clustering platform to learn the signatures of the model calibration test patterns and then compare them to the new design patterns in terms of feature vectors' space correlated to model parameters' space. The comparison provides not only the locations of the new patterns but also the similarity ranking with respect to the reference pattern, so that those patterns can be included and be further analyzed for better model coverage. These patterns are often suitable candidates to be included into new model calibration set. In this application, full chip capability is also essential besides the accuracy of the learning. The full-chip pattern check needs to be done quickly and efficiently; hence this technology could be adopted for new chip screening, highlighting areas worth paying extra attention to during inspection.
Appropriate management of stand density is necessary to avoid wasted growing space and overcrowding-induced self-thinning and therefore to optimize profitability. We developed a Gingrich-style stocking chart for Korean red pine (Pinus densiflora), Korean white pine (P. koraiensis), and Japanese larch (Larix kaempferi) in Korea. Datasets for even-aged stands were categorized into two censored datasets via relative density based on species-specific stand density indices to assign adequate plots for tree allometry. Censored plot data for maximum density on full stocking were used to develop A-level stocking based on mean individual tree area. In censored plot data for minimum density on full stocking, individual trees represented open-grown trees, and a crown competition factor of 100 was proposed as B-level stocking. Based on parameters estimated from allometry, stocking diagrams comprising quadratic mean diameter, number of trees, and basal area were correctly expressed. A-level stocking at the same quadratic mean diameter revealed that Korean white pine had the most trees and largest basal area, while Japanese larch had the fewest trees and smallest basal area. In contrast, B-level stocking disclosed that Japanese larch had the most trees and basal area, whereas Korean white pine had the fewest trees and smallest basal area. The stocking diagrams suggest that silvicultural treatments for these species should be species-specific.
This study was carried out to analyze annual diameter growth characteristics for major 11 tree species using the data for Gangwon province of the National Forest Resources Inventory in 2007. The annual diameter growth of coniferous species was 5.02 mm, 4.70 mm, and 3.90 mm in Korean white pine, Japanese larch, and Korean red pine, respectively. In growths of the deciduous trees, dogwood, basswood, and cork oak had 3.55 mm, 3.48 mm and 3.01 mm, respectively. Average of the annual diameter growths for all species was 3.38 mm. The relationship between diameter growth and age class showed that the growth rate decreased for all species as age increased. The age class II had the highest annual diameter rate. In relation of the stand density(trees per hectare) and diameter growth, the diameter growth tended to decrease as the stand density increased for most species, especially Korean white pine, cork oak, and basswood. Finally age had the highest value in the correlation coefficients between measurement factor and growth rate regardless of species.
This study was conducted to estimate the best-fit nonlinear height-DBH growth models for Larix kaempferi in Gangwon and North Gyeongsang province in South Korea. Exponential, Modified Logistic, Chapman-Richards, and Weibull function were used for estimating height-DBH models. To evaluate the selected models, $R^2$, RMSE, MD, MAD, and residual plots were performed in each model. Also, the coefficients and patterns in models of the previous studies were compared with those in this study. The result showed that Weibull equation was found to be the best-fit model with $R^2$=0.9837, RMSE=2.6133, MD=0.0089, and MAD=2.0896. All model parameters in our study had similar values to those in the previous models except for asymptotic parameter a. Our research result showed that Gangwon and North Gyeongsang province were superior to other provinces with regard to height growth for Larix kaempferi.
The objectives of this study were to develop site index and variable-density yield models for Korean red pine (Pinus densiflora Siebold & Zucc.), Korean white pine (P. koraiensis S. & Z.), and Japanese larch (Larix kaempferi (Lamb.) Carrière) in Korea. The data were collected between 2012 and 2021 from repeatedly measured empirical plots in each target stand in the North Central region of Korea: Gangwon and North Gyeongsang provinces. To develop the site index for each species, a dominant height growth model by species was developed using the Chapman–Richards function. The site index was computed with a base age of 40 years and used as an independent variable to predict the stand volume. To develop the variable-density yield models, three stand density variables, the stand age, and the site index were applied. The stand density variables used were the stand basal area, the number of trees per hectare, and the relative density. All the models were successfully developed with significant parameters and reasonable fit statistics, and the residuals analyzed presented unbiased scatter plots. Yield models with the stand basal area, or the number of trees, can be used to predict the stand volume. The yield model with relative density was flexible to apply across the stand age because the input of the absolute stand density was not required. Model simulation and comparisons with other studies also supported the applicability of the models developed in this study. The models were found to be highly applicable for predicting and simulating these targeted stands, particularly in Korea.
본 논문은 남북산림협력이 분단된 한반도의 평화협력에 기여하기 위한 기초자료를 제공하기 위하여 우리나라 국민의 남북산림협력에 대한 인식을 분석하였다. 분석 결과 응답자의 70.1%가 우리나라의 산림녹화사업이 세계적인 성공사례로 인식하고 있으며, 산림녹화사업이 성공한 가장 큰 요인은 ‘국가역량의 총동원’ 때문이라고 답하였다. 북한의 산림황폐는 ‘한반도의 기상이변의 초래’ 또는 ‘한반도의 산림생태계교란’에 가장 영향을 미치며, ‘산림녹화물자의 지원’이 북한의 산림녹화를 도울 수 있는 가장 효과적인 방법으로 인식하였다. 또한, 남북의 산림분야 교류협력이 지속적으로 추진되어야 하고, 정부 기구 중 산림청이 산림교류 협력을 주도해야 하며, ‘북한의 군사적 위협 해소와 정부 차원의 협력사업 추진’이 남북 산림교류 협력의 발전에 가장 중요한 요소인 것으로 나타났다. 마지막으로 북한에 대한 가장 인도주의적 지원 분야 및 방법은 ‘산림황폐지의 복구’와 ‘식량의 지원’이며, 남북 긴장 완화와 평화적 관계의 발전을 위해 가장 중요한 것은 ‘북한의 핵무기 개발 중단’과 ‘남북 정부간 교류 재개’로 나타났다.
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