• Title/Summary/Keyword: forest inventory

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Developing application system of forest information using digital photogrammetry and GIS

  • Jo, Myung-Hee;Heo, Young-Jin;Kim, Joon-Bum;Kim, In-Ho
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.911-913
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    • 2003
  • Recently in order to process forest official task more effectively and scientifically the previous of that which is focused on document and inventory, should be applied with the spatial information technology. Especially, the forest information remote sensing system has to be developed using digital photogrammetry and GIS. In this study the forest information remote sensing system is implemented to manage forest resource and forest official effectively especially by constructing database of forest environment information and cadastral information, overlaying various thematic maps, and performing spatial analysis using GIS and aerial photograph. For this, the attribute data and spatial data of aerial photograph, digital topography map, forest cadastral map, forest type map, forest use map should be reprocessed and stored in Oracle. Also, the user interface is developed by using Visual Basic 6.0 and MapObjects 2.1 of ESRI based on CBD(Component Based Development).

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Comparison of Sampling and Wall-to-Wall Methodologies for Reporting the GHG Inventory of the LULUCF Sector in Korea (LULUCF 부문 산림 온실가스 인벤토리 구축을 위한 Sampling과 Wall-to-Wall 방법론 비교)

  • Park, Eunbeen;Song, Cholho;Ham, Boyoung;Kim, Jiwon;Lee, Jongyeol;Choi, Sol-E;Lee, Woo-Kyun
    • Journal of Climate Change Research
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    • v.9 no.4
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    • pp.385-398
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    • 2018
  • Although the importance of developing reliable and systematic GHG inventory has increased, the GIS/RS-based national scale LULUCF (Land Use, Land-Use Change and Forestry) sector analysis is insufficient in the context of the Paris Agreement. In this study, the change in $CO_2$ storage of forest land due to land use change is estimated using two GIS/RS methodologies, Sampling and Wall-to-Wall methods, from 2000 to 2010. Particularly, various imagery with sampling data and land cover maps are used for Sampling and Wall-to-Wall methods, respectively. This land use matrix of these methodologies and the national cadastral statistics are classified by six land-use categories (Forest land, Cropland, Grassland, Wetlands, Settlements, and Other land). The difference of area between the result of Sampling methods and the cadastral statistics decreases as the sample plot distance decreases. However, the difference is not significant under a 2 km sample plot. In the 2000s, the Wall-to-Wall method showed similar results to sampling under a 2 km distance except for the Settlement category. With the Wall-to-Wall method, $CO_2$ storage is higher than that of the Sampling method. Accordingly, the Wall-to-Wall method would be more advantageous than the Sampling method in the presence of sufficient spatial data for GHG inventory assessment. These results can contribute to establish an annual report system of national greenhouse gas inventory in the LULUCF sector.

Effects of Forest Healing Program on Depression, Stress and Cortisol Changes of Cancer Patients

  • Lee, Mi-Mi;Park, Bong-Ju
    • Journal of People, Plants, and Environment
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    • v.23 no.2
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    • pp.245-254
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    • 2020
  • Patients diagnosed with cancer face mental problems such as alienation, isolation, anxiety about death and fear, recovering from psychological difficulties. In this study, a forest healing program was provided for cancer patients to recover from psychological stress, depression, social isolation and self-esteem caused by cancer and changes in salivary cortisol through psychological and emotional recovery were measured. From September 19 to November 28, 2017, a forest healing program composed of a total of 10 sessions, two hours per session was provided for 12 cancer patients in the Forest of Taegyo located in Yongin. Psychological tests were performed with Social Adaptation Self-evaluation Scale (SASS), Korean-version Perceived Stress Scale (PSS) and Beck Depression Inventory (BDI) and the collected data were analyzed with the SPSS 18.0. The salivary cortisol level was measured along with the psychological tests and were analyzed by a specialized testing agency. The results of the analysis showed that the pre- and post-assessment score of SASS was 29.17 and 25.92, respectively, and that the pre- and post-assessment score of PSS was 30.50 and 23.92, respectively. The pre- and post-assessment score of BDI was 41.00 and 34.83, respectively, which showed significant differences. In addition, the pre- and post-assessment level of saliva cortisol was 3.13 and 1.68, respectively, showing a significant decrease. In short, the forest healing program was found to be effective in reducing physiological changes caused by social isolation and stress due to the emotional and psychological difficulties that the subjects who were diagnosed with cancer and were recovering from it have. In the future, it will be necessary to develop and implement a forest healing program by conducting a forest healing requirement survey on cancer patients.

Parameterization and Application of a Forest Landscape Model by Using National Forest Inventory and Long Term Ecological Research Data (국가산림자원조사와 장기생태연구 자료를 활용한 산림경관모형의 모수화 및 적용성 평가)

  • Cho, Wonhee;Lim, Wontaek;Kim, Eun-Sook;Lim, Jong-Hwan;Ko, Dongwook W.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.3
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    • pp.215-231
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    • 2020
  • Forest landscape models (FLMs) can be used to investigate the complex interactions of various ecological processes and patterns, which makes them useful tools to evaluate how environmental and anthropogenic variables can influence forest ecosystems. However, due to the large spatio-temporal scales in FLMs studies, parameterization and validation can be extremely challenging when applying to new study areas. To address this issue, we focused on the parameterization and application of a spatially explicit forest landscape model, LANDIS-II, to Mt. Gyebang, South Korea, with the use of the National Forest Inventory (NFI) and long-term ecological research (LTER) site data. In this study, we present the followings for the biomass succession extension of LANDIS-II: 1) species-specific and spatial parameters estimation for the biomass succession extension of LANDIS-II, 2) calibration, and 3) application and validation for Mt. Gyebang. For the biomass succession extension, we selected 14 tree species, and parameterized ecoregion map, initial community map, species growth characteristics. We produced ecoregion map using elevation, aspect, and topographic wetness index based on digital elevation model. Initial community map was produced based on NFI and sub-alpine survey data. Tree species growth parameters, such as aboveground net primary production and maximum aboveground biomass, were estimated from PnET-II model based on species physiological factors and environmental variables. Literature data were used to estimate species physiological factors, such as FolN, SLWmax, HalfSat, growing temperature, and shade tolerance. For calibration and validation purposes, we compared species-specific aboveground biomass of model outputs and NFI and sub-alpine survey data and calculated coefficient of determination (R2) and root mean square error (RMSE). The final model performed very well, with 0. 98 R2 and 8. 9 RMSE. This study can serve as a foundation for the use of FLMs to other applications such as comparing alternative forest management scenarios and natural disturbance effects.

Development of Estimation Equation for Minimum and Maximum DBH Using National Forest Inventory (국가산림자원조사 자료를 이용한 최저·최고 흉고직경 추정식 개발)

  • Kang, Jin-Taek;Yim, Jong-Su;Lee, Sun-Jeoung;Moon, Ga-Hyun;Ko, Chi-Ung
    • Journal of agriculture & life science
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    • v.53 no.6
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    • pp.23-33
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    • 2019
  • In accordance with a change in the management information system containing the management record and planning for the entire national forest in South Korea by an amendment of the relevant law (The national forest management planning and methods, Korea Forest Service), in this study, average, the maximum, and the minimum values for DBH were presented while only average values were required before the amendment. In this regard, there is a need for an estimation algorithm by which all the existing values for DBH established before the revision can be converted to the highest and the lowest ones. The purpose of this study is to develop an estimation equation to automatically show the minimum and the maximum values for DBH for 12 main tree species from the data in the national forest management information system. In order to develop the estimation equation for the minimum and the maximum values for DBH, there was exploited the 6,858 fixed sample plots of the fifth and the sixth national forest inventory between in 2006 and 2015. Two estimation models were applied for DBH-tree age and DHB-tree height using such growth variables as DBH, tree age, and height, to draw the estimation equation for the maximum and the minimum values for DBH. The findings showed that the most suitable model to estimate the minimum and the maximum values for DBH was Dmin=a+bD+cH, Dmax=a+bD+cH with the variables of DBH and height. Based on these optimal models, the estimation equation was devised for the minimum and the maximum values for DBH for the 12 main tree species.

Effects of Yoga and Meditation-Focused Forest Healing Programs on Profile of Mood States (POMS) and Stress Response of Adults (요가와 명상 중심의 산림치유 프로그램이 성인의 기분상태와 스트레스 반응에 미치는 효과)

  • Park, Chang-Eun;Kim, Dong Jun;Park, Kwang-Soo;Shin, Chang Seob;Kim, Youn-Hee
    • Korean Journal of Environment and Ecology
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    • v.32 no.6
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    • pp.658-666
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    • 2018
  • The purpose of this study is to verify the effects of yoga and meditation-focused forest healing programs on profiles of mood states and stress reactions of adults. We tested 17 adults who agreed to participate in the experiments that were conducted for 2 nights and 3 days between September 8 to 10, 2017 in the healing forest located at Hongcheon-gun, Gangwon-do. The test used the simplified version of the inventory for the profile of mood states (K-POMS-B: Korean version of Profile of Mood States-Brief) and the stress response inventory as the measuring tools. For data analysis, we examined the differences in the profile of mood states and stress response of subjects before and after participation in the program through the paired T-tests with the SPSS 24.0 program. The analysis of the impact of the yoga and meditation-focused forest healing program on the profile of mood states of the test subjects showed the statistically significant reduction of the total score of the profile of mood states. Although the vigor among sub-level inventories increased, it was not statistically significant. But the tension, depression, anger, fatigue, and confusion showed a statistically significant reduction. The analysis of the impact of the yoga and meditation-focused forest healing program on the stress response of the test subjects showed a statistically significant reduction. Among sub-level inventories, the tension, somatization, anger, depression, fatigue, and frustration showed a statistically significant reduction, but the aggressiveness did not. It is expected that the results of this study can be utilized in the future as reference data for clarifying the effects of yoga and meditation-focused forest healing programs.

The Influence of the Forest Program on Depression Level (산림(山林) 프로그램 참여(參與) 경험(經驗)이 우울증(憂鬱症) 수준(水準)에 미치는 영향(影響))

  • Shin, Won Sop;Oh, Hong Keun
    • Journal of Korean Society of Forest Science
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    • v.85 no.4
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    • pp.586-595
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    • 1996
  • The purpose of this study was to examine the effects of participation in a forest program on the level of depression changes in the participants. Total of 501 university students residing in the middle province of Korea were administered Beck Depression Inventory(BDI). Among them, 32 students were selected as participants of the program based on the scores of the BDI. A 5-day forest program included climbing, sharing experience with others and so on. Pre and post tests control group research design was employed for this study, with BDI measures taken from each of 32 participants on three time frames : 2 weeks before the program, immediately before participation, and immediately after participation. BDI scores were expected to decrease as a result of forest program participation. The study results supported this hypothesis.

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Distribution of the Genetic Resource and the Biomass of Root Bark of Ulmaceae Species

  • Park, Dong Jin;Yong, Seong Hyeon;Yang, Woo Hyeong;Seol, Yuwon;Choi, Eunji;Kim, Hyeong Ho;Ahn, Mi-Jeong;Choi, Myung Suk
    • Journal of agriculture & life science
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    • v.53 no.2
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    • pp.65-75
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    • 2019
  • Stem and root of elm trees have used as traditional medical materials, but there is little information on the distribution and resources of habitats. Korean native growing Ulmus spp. (U. davidiana var. Japonica, U. parvifolia, U. davidiana, and U. macrocarpa) genetic resources studied through The National Forest Inventory of Korea data and field survey. The distributions of U. davidiana var. japonica according to elevation distributed evenly. Both U. parvifolia and U. davidiana were inhabited mostly at less than 200 m of altitude. Each Ulmaceae species widely were distributed nationwide, but a dominant species was different depending on locals. It observed that Ulmaceae inhabits mainly in steep slopes of 31-45 degrees. Most of the habitats regenerated by natural seeding and the most abundant species were a codominant tree. Distribution of trees in U davidiana var. japonica was 7 m-13 m, and in young U. parvifolia and U. macrocarpa, more than 25% of young trees less than 7 m observed. The distribution of the diameter of breast height of the U. davidiana var. japonica was 46.4% for 11-20 cm, 52.6% for 11-20 cm in U. parvifolia. The average T/R ratio was 0.83, and the mean weight ratio of root bark was 62%. As the results of this study, the domestic Ulmaceae biomassare very small. It is difficult to harvest in that the habitat on the slope. Thus, it is too hard to develop functional materials using biomass at present. Therefore, it is necessary to develop technology for the selection and propagation of elite trees of Ulmaceae.

Estimation of Forest Biomass for Muju County using Biomass Conversion Table and Remote Sensing Data (산림 바이오매스 변환표와 위성영상을 이용한 무주군의 산림 바이오매스추정)

  • Chung, Sang Young;Yim, Jong Su;Cho, Hyun Kook;Jeong, Jin Hyun;Kim, Sung Ho;Shin, Man Yong
    • Journal of Korean Society of Forest Science
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    • v.98 no.4
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    • pp.409-416
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    • 2009
  • Forest biomass estimation is essential for greenhouse gas inventories and terrestrial carbon accounting. Remote sensing allows for estimating forest biomass over a large area. This study was conducted to estimate forest biomass and to produce a forest biomass map for Muju county using forest biomass conversion table developed by field plot data from the 5th National Forest Inventory and Landsat TM-5. Correlation analysis was carried out to select suitable independent variables for developing regression models. It was resulted that the height class, crown closure density, and age class were highly correlated with forest biomass. Six regression models were used with the combination of these three stand variables and verified by validation statistics such as root mean square error (RMSE) and mean bias. It was found that a regression model with crown closure density and height class (Model V) was better than others for estimating forest biomass. A biomass conversion table by model V was produced and then used for estimating forest biomass in the study site. The total forest biomass of the Muju county was estimated about 8.8 million ton, or 128.3 ton/ha by the conversion table.

Some Peculiarities of Structure and Growth of Larch Stands in Western Mongolia

  • Tsogtbaatar, J.;Battulga, P.
    • The Korean Journal of Quaternary Research
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    • v.18 no.2 s.23
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    • pp.107-107
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    • 2004
  • In this paper we have introduced some results of study on stand growth pattern and stand structure of larch forest which are located in selected forest sites of Khangai and Gobi-Altai mountain ranges of Mongolia. Our investigations showed that growth intensity and stand structure in western Mongolia are very specific from the other forest vegetation zones of Mongolia. Studies on the stand structure and growth trend indicate that tree types of stand structure and different types of growth of Larix sibrica are very common in Western Mongolia. These peculiarities of stand structure and growth of larch stands in Western Monolia could be used for inventory work and an improvement of the forest management in Western Mongolian region. The larch tree is the dominant tree species in Western Mogolia. Forest cover of the region is about 15%, which is two times higher than the country's average. In this region forest area is divided into 4 forest sub-regions: the Central Khangai, Western Khangai, North Eastern Khangai and South Easterun Khangai sub-regions including taiga, pseudo taiga, sub taiga, sub-alpine and forest steppe belts. Silviculture practices and forest research management request to study forest growth trends in local and general conditions, which means to indicate a change of taxonomic characteristics of stand from time to time including diameter, height, basal area, growth stock etc. The forest management practice mostly uses tables of forest growth and yield based on the results of long term research on forest growth. Forest yield tables and other relevant forest standards of Russia are used for the forest inventory and forest management. They are not able to determine forest structure and growth peculiatities of Mongolian forests. Studies on forest resource assessment in Mongolia indicate that after logging operations and forest fires the natural regeneration of desired species such as pine and larch often does not succeed. This situation forces to take a different approach of forest management and silviculture practice depending on the stand structure and growth rate of the forest stands. According to our investigation in last years, forest growth pattern of larch forest depends mostly on stand structure, stand age and growth condition including forest soil, climate and location in different slopes. Due to improve environmental function of forest ecosystem in the region, it is needed to conduct very comprehensive study of high mountain forest ecosystem in selected sub-regions.

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