• Journal of Korean Society of Forest Science
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• v.96 no.2
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• pp.197-202
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• 2007

This study is conducted to investigate the factors affecting lumber conversion rate of sawmill industry in South Korea. Data were obtained from the survey of 38 sawmills in all geographic regions of South Korea. The variables examined in this study were region, softwood/hardwood log, domestic/imported/both log, the number of power-driven carriages (PDC) installed, the year when and country where PDCs was manufactured, the horse power of PDC, the number of labors required to operate each PDC, the sawing capacity of mill (mill size), and the types of major product and by-products. The lumber recovery factor (LRF) of sawmills were significantly influenced by the origin of logs, level of PDC automation, sawmill size, and size of logs (measured in diameter and length) while not by the location of the mill, types of major product and by-product, log species, and characteristics of PDC. Although these results provide useful information for understanding the technological characteristics of the Korean sawmill industry, further investigation with larger sample is necessary to reveal the more reliable characteristics of sawmill industry in South Korea.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2011.04a
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• pp.207-215
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• 2011

• Journal of Korean Society of Forest Science
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• v.31 no.1
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• pp.82-87
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• 1976

• Journal of the Korean Wood Science and Technology
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• v.31 no.2
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• pp.1-15
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• 2003

• Proceedings of the Korean Society of Plant Pathology Conference
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• 2005.04a
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• pp.71.2-72
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• 2005

• Journal of the Korea Furniture Society
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• v.20 no.2
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• pp.115-121
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• 2009

This study examined the emission characteristics and psychological effects of volatile organic compounds (VOCs) emitted from wooden boards made of Pinus densiflora and Chamaecyparis obtusa, conifer commonly found in korean forests. Boards made of those species were used to decorate interior of a test room. Different proportions of interior (20%, 40%, 60%, 80% and 100% against the entire interior of the room) were decorated. Electroencephalogram and VOCs in the test room were measured 24 hours after interior decorated. As the results, when 40% of interior of the room decorated with both species of boards, the largest amount of alpha wave was detected. For board made of P. densiflora, as the proportion of interior decorated increased both natural VOCs(NVOCs) and anthropogenic VOCs(AVOCs) were increased. on the other hand, When interior decorated with board made of C, obtusa, little differences in VOCs with different area of interior decorated was detected. Board made of P. densiflor emitted a slightly higher amount of AVOCs than boards made of C. obtusa. NVOCs emitted from board made of P. densiflora was three to fifteen times more than NVOCs emitted from board made of C. obtusa.

• Journal of the Korean Institute of Landscape Architecture
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• v.24 no.2
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• pp.43-51
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• 1996

The main purpose of this study is to obtain information on users' socio-economic characteristics, pattern of main use activities, and visit motivation in recreation forests. From June to September in 1994, respondents were selected 548 adults more than 18 years old from 6 recreation forests which were classified 3 recreation forest types as 2 recreation forest in national forest, 2 in public forest, and 2 in private forest. Analysis of data was conducted through frequency and factor analysis. The most of noticeable characteristics of users were rather 30's age group, high education level, company workers, city residents. The major preference activities in recreation forest were resting, enjoying green shower, and walking. In 24 items of visit motivation, resting, releasing stress, enjoying in a cool forest & valley, and contacting close to nature were high preference, while buying special product, and contacting close to nature were high preference, while buying special product, having enough and to money, observing wildlife, and training body & mind were low preference. The remarkable difference in 3 recreation forest types didn't present. Eight dimensions of motivation were classified through factor analysis.

• Journal of Forest and Environmental Science
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• v.30 no.2
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• pp.189-200
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• 2014

The tropical wet evergreen, tropical semi evergreen and moist deciduous forest types are projected to be impacted by climate change. In the Western Ghats region, a biodiversity hotspot, evergreen forests including semi evergreen account for 30% of the forest area and according to climate change impact model projections, nearly a third of these forest types are likely to undergo vegetation type change. Similarly, tropical moist deciduous forests which account for about 28% of the forest area are likely to experience change in about 20% of the area. Thus climate change could adversely impact forest biodiversity and product flow to the forest dependent households and communities in Uttara Kannada district of the Western Ghats. This study analyses the distribution of non-timber forest product yielding tree species through a network of twelve 1-ha permanent plots established in the district. Further, the extent of dependence of communities on forests is ascertained through questionnaire surveys. On an average 21% and 28% of the tree species in evergreen and deciduous forest types, respectively are, non-timber forest product yielding tree species, indicating potential high levels of supply of products to communities. Community dependence on non-timber forest products is significant, and it contributes to Rs. 1199 and Rs. 3561/household in the evergreen and deciduous zones, respectively. Given that the bulk of the forest grids in Uttara Kannada district are projected to undergo change, bulk of the species which provide multiple forest products are projected to experience die back and even mortality. Incorporation of climate change projections and impacts in forest planning and management is necessary to enable forest ecosystems to enhance resilience.

• Journal of Korean Society of Forest Science
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• v.108 no.4
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• pp.628-638
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• 2019

The purpose of this study was to investigate the characteristics of consumers purchasing environmentfriendly forest products, and to examine the factors affecting consumption expansion. A survey was conducted among 400 consumers over the age of 20 years. A logistic regression analysis was performed based on age, income, gender, level of education, residence area, whether or not they had children, satisfaction with product price, and product reliability. The results revealed that females were more likely to consume environment-friendly forest products than males; married people tended to buy more environment-friendly forest products than single people; and respondents with a high level of education and with children consistently showed higher willingness to purchase environmentfriendly forest products. To expand consumption of environment-friendly forest products, marketing strategies targeting well-educated, female consumers with children should be implemented.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2006.06b
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• pp.305-309
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• 2006

This paper presents and illustrates the application of a growth and yield model that supports both forest and mill side volume and value estimates. Traditional forest stand growth and yield models represent the forest landowner view of yield and economics. Predicted yields are estimates of what one would expect from a procurement cruise, and current stumpage prices are applied to investigate optimum management strategies. Optimum management regimes and rotation ages obtained from the forest side view are unlikely to be economically optimal when viewed from the mill side. The actual distribution of recoverable manufactured product and its value are highly dependent on mill technologies and configurations. Overcoming this limitation of growth and yield computer models necessitates the ability to predict and price the expected manufactured distribution of lumber, lineal meters of veneer, and tonnes of air dried pulp fiber yield. With these embedded models, users of the yield simulator can evaluate the economics of possible/feasible management regimes from both the forest and mill business sides. The simulator is a forest side model that has been modified to produce estimates of manufactured product yields by embedding models for 1) pulpwood chip size class distribution and pulp yield for any kappa number (Schultz and Matney, 2002), 2) a lumber yield and pricing model based on the Best Opening Face model developed by the USDA Forest Service Forest Products Laboratory (Lewis, 1985a and Lewis, 1985b), and 3) a lineal meter veneer model derived from peeler block tests. While the model is strictly applicable to planted loblolly pine (Pinus taeda L.) on cutover site-prepared land in the United States (US) Gulf South, the model and computer program are adaptable to any region and forest type.