• Title/Summary/Keyword: FOREST

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Vegetation Structure of Secheon Valley Area and Forest Vegetation Types in Mt. Sikjang (식장산 산림식생유형과 세천계곡부의 식생구조)

  • Hwang, Seon-Mi;Yun, Chung-Weon
    • Korean Journal of Environmental Biology
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    • v.25 no.3
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    • pp.249-259
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    • 2007
  • This study was carried out the analysis of forest vegetation structure using the phytosociological methods by Braun-Blanquet from April to November in 2006. The results were summarized as follows. The forest vegetation was classified into 23 communities and 3 forest ecosystem types such as slope forest type, valley forest type and artificial forest type. By the actual vegetation map, Quercus mongolica forest was widely distributed in the area and Pinus densiflora forest and Quercus variabilis forest in the southern parts of the slope and valley forest mainly in valley area, respectively. The importance value in the Q. mongolica forest and artificial forest was absolutely high for the species dominated in tree layer. The typical valley species of Lindera erythrocarpa and Styrax japonica were abundantly occupied in the all layers. Species diversity indices of Alnus hirsta forest was the lowest as 0.2191, and that of valley forest was about 0.9, the highest among the all forest types.

Prediction of Land Use/Land Cover Change in Forest Area Using a Probability Density Function

  • Park, Jinwoo;Park, Jeongmook;Lee, Jungsoo
    • Journal of Forest and Environmental Science
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    • v.33 no.4
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    • pp.305-314
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    • 2017
  • This study aimed to predict changes in forest area using a probability density function, in order to promote effective forest management in the area north of the civilian control line (known as the Minbuk area) in Korea. Time series analysis (2010 and 2016) of forest area using land cover maps and accessibility expressed by distance covariates (distance from buildings, roads, and civilian control line) was applied to a probability density function. In order to estimate the probability density function, mean and variance were calculated using three methods: area weight (AW), area rate weight (ARW), and sample area change rate weight (SRW). Forest area increases in regions with lower accessibility (i.e., greater distance) from buildings and roads, but no relationship with accessibility from the civilian control line was found. Estimation of forest area change using different distance covariates shows that SRW using distance from buildings provides the most accurate estimation, with around 0.98-fold difference from actual forest area change, and performs well in a Chi-Square test. Furthermore, estimation of forest area until 2028 using SRW and distance from buildings most closely replicates patterns of actual forest area changes, suggesting that estimation of future change could be possible using this method. The method allows investigation of the current status of land cover in the Minbuk area, as well as predictions of future changes in forest area that could be utilized in forest management planning and policymaking in the northern area.

Development of Forest Fire Occurrence Probability Model Using Logistic Regression (로지스틱 회귀모형을 이용한 산불발생확률모형 개발)

  • Lee, Byungdoo;Ryu, Gyesun;Kim, Seonyoung;Kim, Kyongha
    • Journal of Korean Society of Forest Science
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    • v.101 no.1
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    • pp.1-6
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    • 2012
  • To achieve the forest fire management goals such as early detection and quick suppression, fire resources should be allocated at high probability area where forest fires occur. The objective of this study was to develop and validate models to estimate spatially distributed probabilities of occurrence of forest fire. The models were builded by exploring relationships between fire ignition location and forest, terrain and anthropogenic factors using logistic regression. Distance to forest, cemetery, fire history, forest type, elevation, slope were chosen as the significant factors to the model. The model constructed had a good fit and classification accuracy of the model was 63%. This model and map can support the allocation optimization of forest fire resources and increase effectiveness in fire prevention and planning.

Normalized Difference Vegetation Index based on Landsat Images Variations between Artificial and Natural Restoration Areas after Forest Fire (산불 지역 인공·자연복원에 따른 Landsat영상 기반 식생지수 비교)

  • Noh, Jiseon;Choi, Jaeyong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.25 no.5
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    • pp.43-57
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    • 2022
  • This study aims to classify forest fire-affected areas, identify forest types by the intensity of forest fire damage using multi-time Landsat-satellite images before and after forest fires and to analyze the effects of artificial restoration sites and natural restoration sites. The difference in the values of the Normalized Burned Ratio(NBR) before and after forest fire damage not only maximized the identification of forest fire affected and unaffected areas, but also quantified the intensity of forest fire damage. The index was also used to confirm that the higher the intensity of forest fire damage in all forest fire-affected areas, the higher the proportion of coniferous forests, relatively. Monitoring was conducted after forest fires through Normalized Difference Vegetation Index(NDVI), an index suitable for the analysis of effects by restoration type and the NDVI values for artificial restoration sites were found to no longer be higher after recovering the average NDVI prior to the forest fire. On the other hand, the natural restoration site witnessed that the average NDVI value gradually became higher than before the forest fires. The study result confirms the natural resilience of forests and these results can serve as a basis for decision-making for future restoration plans for the forest fire affected areas. Further analysis with various conditions is required to improve accuracy and utilization for the policies, in particular, spatial analysis through forest maps as well as review through site checks before and immediately after forest fires. More precise analysis on the effects of restoration will be available based on a long term monitoring.

Seed Characteristics of Parasenecio firmus Kom. and Its Growth Comparison among Forest Stands (병풍쌈의 종자 및 임분별 생장 특성)

  • Park, Wan-Geun;Kim, Young-Sol;Lee, Hak-Bong;Kim, You-Sin;Kim, Nam-Jun;Kim, Nam-Young
    • Journal of Forest and Environmental Science
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    • v.26 no.3
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    • pp.219-223
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    • 2010
  • It has long been recognized that wild vegetation are sort of improving fitness. Many peoples are now ingesting them instead of the vegetables that are grown in green house. In this regard, Parasenecio firmus, which is considered to be one of the rare species in Korea, has been given a lot of attentions as edible green plants recently. Hence it may be necessary to provide the information people who want to commercially cultivate the plants. Regarding appropriate forest stands that are fit for the cultivation. Firstly, we collected the seeds from 4 natural habitats to find out how many seeds are fully matured in the natural conditions. The quality of the seeds collected were found to be very low. However, it appeared as clear differences when screened seeds were grown in covered seed beds over winter. In this case the germination rate of the seeds was 95%, indicating that there may be no difficulty for mass production of plantlets. Secondly, in the field of planting test in an appropriate cultivating site among 6 of forest stands, those in Pinus koraiensis stand were the highest in survival rate, but somewhat low with those in Quercus mongolica and broad-leaved stands. Thus, it was demonstrated that forest stands dominated with conifer like P. koraiensis are more appropriate for the cultivation of P. firums.

The Effects of Visit Characteristics in Neighborhood Forest on Individual Life Satisfaction

  • Jang, Youn-Sun;Yoo, Rhee-Hwa;Lee, Jeong-Hee
    • Journal of People, Plants, and Environment
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    • v.22 no.6
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    • pp.677-690
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    • 2019
  • Recently, the importance and effectiveness of neighborhood forests have been increasing in relation to the quality of life of urban residents. However, there are very few domestic studies that analyzed the correlation between visit characteristics and life satisfaction. Therefore, the study aims to understand how people use the forest for recreation and determine how visit characteristics in neighborhood forests affect individual life satisfaction(ILS). A nationwide survey (N=2,624) was conducted on visit frequency, proximity to forest, means of transportation, forest activities, and life satisfaction. To measure ILS, we used the three factors (personal, relative, collective) of COMOSWB (Concise Measure of Subjective Well-being) developed by Seo et al.(2011). The analysis shows that people usually visit the forest located within the distance of 10-30 minutes from their homes 1-2 times a month on foot for hiking/walking (forest bathing). In particular, the older visitors(over 60s) tend to visit the forest more often than the younger ones (20s). Furthermore, more frequent visitors are more likely to live near the forest. As a result of analyzing the correlation between visit characteristics and ILS by controlling demographic variables, it was found that 'visit frequency' had a positive effect on ILS, and 'proximity to the forest' did not have a statistically significant effect on ILS. In other words, residents who live near the forests are more likely to be satisfied with their lives by visiting frequently. The significance of the study is that it statistically determined that visit frequency is a key factor for ILS. Future studies should take into account the various qualitative factors of forest visit such as vegetation, quantity and types of forest, which will contribute to setting the direction for urban forest development and management.

The Effects of Watching a Virtual Reality (VR) Forest Video on Stress Reduction in Adults

  • Hong, Sungjun;Joung, Dawou;Lee, Jeongdo;Kim, Da-Young;Kim, Soojin;Park, Bum-Jin
    • Journal of People, Plants, and Environment
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    • v.22 no.3
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    • pp.309-319
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    • 2019
  • This study was conducted to investigate the effects of watching a virtual reality (VR) forest video on stress reduction in adults. Experiments were performed in an artificial climate chamber where temperature, humidity and illumination were controlled. To cause stress in subjects, the subjects were asked to multiply two digit numbers by one digit numbers for two minutes. The subjects then watched a VR forest video for five minutes. During the experiment, the heart rate variability (HRV) and heart rate (HR) of subjects were continuously measured for evaluating their physiological state. After measuring the baseline and watching a VR forest video, their psychological state was evaluated using the profile of mood state (POMS), semantic differential (SD) method, and positive affect and negative affect schedule (PANAS). The results of physiological evaluation after watching a VR forest video showed a decrease in the stress index and HR, an increase in the activity of the parasympathetic nervous system, and the standard deviation of normal to normal RR intervals (SDNN). The results of psychological assessment confirmed that watching a VR forest video induced "comfort", "natural", and "soothed" feelings in subjects. In addition, watching a VR forest video decreased "tension-anxiety (T-A)", "depression-dejection (D)", "anger-hostility (A-H)", "fatigue (F)", "total mood disturbance (TMD)", and increased "vigor (V)" compared to the base line, and decreased "negative affect" and increased "positive affect." These results indicate that watching a VR forest video decreases adults' stress index, stabilizes physiological state, and has a positive impact on psychological state. The findings of this study can serve as a basis for providing forest welfare services to people in the blind spots of forest welfare, and can lay a foundation for the adoption of VR, one of the technologies of the fourth industrial revolution in forestry.

Implementation of the virtual reforestation system using spatial data

  • Kim Sung-Jae;Jo Myung-Hee;Kim Joon-Bum;Lee Myung-Bo;Lim Joo-Hoon
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.77-80
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    • 2004
  • In this study the spatial distribution characters of burnt forest site was first considered by analyzing spatial data and monitoring forest landscape before/after lire to restore the site. Then suitable tree species on each forest site should be selected through the weighted score analysis of GIS analysis methods. Finally. the best forest stand arrangement method could be simulated on the system for the advanced reforestation technology in Korea. For this purpose, the virtual reforestation system was implemented by using the concept of virtual GIS and CBD (Component Based Development) method. By use of this system the change of forest landscape of burnt forest area some years after reforestation practice could be detected and monitored by applying the site index and 3D modeling method.

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Collaborative and Participatory Model for Urban Forest Management: Case study of Daejisan in Korea

  • Kim, Jae Hyun;Park, Mi Sun;Tae, Yoo Lee
    • Journal of Korean Society of Forest Science
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    • v.95 no.2
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    • pp.149-154
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    • 2006
  • Citizen's involvement in forest decision-making is recently acknowledged as a potential solution to forest management conflicts. Through participation, affected citizens become a part of the decision-making process. This paper focuses on the use of collaborative and participatory model(CPM) for urban forest management. The model, which is exemplified by the Daejisan case in Yongin-si, Gyeonggi-do, Korea, utilizes the collaborative decision-making structure and the gradual level of resident participation in urban forest management. As a result, the committee in the model contributed to building partnerships among different interest groups and then to constructing environmentally compatible urban park. Furthermore, an improvement in the levels of resident participation was manifested in the process. These characteristics of CPM can encourage participation and cooperation among stakeholders and ultimately contribute to realizing sustainable urban forest management.