• Journal of Korean Society of Forest Science
• /
• v.108 no.4
• /
• pp.655-662
• /
• 2019

The aim of the present study was to examine the effects of school forests on the cognition and mental health of elementary school students. Data were obtained through the surveys of sixth graders in an elementary school in Seoul that took part in the School Forest Project run by Korea Post, the Korea Forest Welfare Institute, and the Seoul Metropolitan Office of Education. Students were surveyed before and after the creation of green spaces in their schools, and changes in their environmental sensitivity, attitude toward forests, depression, anxiety, and aggression were analyzed. The findings indicated that the creation of green spaces showed significant effects on the students in terms of encouraging them to strengthen their environmental sensitivity, helping them develop more positive attitudes toward forests, and reducing anxiety and physical aggression, which are the subfactors of aggressive behavior. In other words, creating school forests had positive effects on cognition and mental health, reduced bad behavior, and improved attitudes toward nature in children. The findings of this study are significant in that they reinforce the requirement of school forests by indicating the positive effects of school forests on children's cognition and mental health.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.14 no.3
• /
• pp.163-173
• /
• 2011

This paper, as a case study on the evaluation of nationwide-unit forest functions, targeting the entire Gyeongsangnam-do region, examined the integration measures for the evaluation of national, public and private forest functions, as well as GIS data problems and GIS data building methods. Also, the distribution and characteristics of Gyeongsangnam-do's forest functions were examined. First, as integration measures for forest function evaluation, evaluation unit was proposed as watershed unit, and GIS techniques were proposed to correct some patterns of errors shown in the watershed maps. Also, of GIS data used for forest function evaluation, maps of locations of saw mills to be revised, expressway interchange location maps, and population distribution maps were built nationwide. Based on watershed units, the forest functions of 20 cities and counties in Gyeongsangnam-do were evaluated, revealing that wood production function and forest recreation function potentials, high-ranking was high distributed throughout the site, while most functions potentials, low-ranking was low distributed. In forest function maps with the application of priority by city and gun, the area size was ranked in the order of forest recreation, timber production, natural conservation, water yield, living environment conservation, and prevention of natural disaster. Case analysis results for large areas can be used in evaluating nationwide forest functions.

• The Korean Journal of Ecology
• /
• v.27 no.4
• /
• pp.217-224
• /
• 2004

The purpose of this study is to clarify the effects of the conversion of the forest management type from a natural deciduous broad-leaved forest to an artificial evergreen coniferous forest based on organic matter dynamics. We investigated the amounts and carbon contents of the forest floor and the litterfall, soil chemical characteristics and cellulose decomposition rates in the natural deciduous broad-leaved forest and adjacent artificial evergreen coniferous forest. In the artificial evergreen coniferous forest were planted Japanese cypress (Chamaecyparis obtusa) on the upper slope and Japanese cedar (Cryptomeria japonica) on the lower slope. The soil carbon and nitrogen contents, CEC and microbial activity had decreased due to the conversion of the forest management type from a natural deciduous broad-leaved forest to an artificial Japanese cypress forest, and were almost the same for the conversion to a Japanese cedar forest. Under the same conditions, it is considered that the soil fertility was different by planting specific tree species because the organic matter dynamics were changed by them.

• Korean Journal of Environment and Ecology
• /
• v.31 no.6
• /
• pp.595-605
• /
• 2017

This study was intended to investigate the effects of after-school forest healing programs on the pro-social behavior and self-efficacy of young children using the attributes of forest and the forest healing factors. The children attending a kindergarten located in ${\bigcirc}{\bigcirc}$ - dong, Cheongju city were divided into a test group which participated in the forest healing program activities and a control group which participated in the regular programs of the kindergarten but not in the forest healing program. Each group consisted of 20 boys and girls aged 3 to 5 years. The forest healing program was conducted once a week from 10 April to 10 July in 2017 for a total of 12 sessions, and each session lasted one hour (60 minutes). The pro-sociality behavior and self-efficacy test of the children was conducted before and after the forest healing program, and the data were analyzed using SPSS 18.0 program. The result showed that the pro-social behaviors that indicated the ability to execute the positive action and the self-efficacy that indicated the self-confidence were statistically significant (p<0.05). The young children who participated in the forest healing program improved their self-esteem through positive thoughts from being with their peer in nature. Moreover, they increased not only ecological knowledge but also consideration for others and cooperative spirit. They also greatly improved the ability to control personal emotion and the ability to form the personal relationship which are the sub-factors of pro-sociality, the ability to adapt to the early childhood education institution, and the physical efficacy which is the sub-factor of self-efficacy. It was concluded that the after-school forest healing program had a positive impact on pro-social behavior and self-efficacy.

• Journal of Forest and Environmental Science
• /
• v.35 no.4
• /
• pp.213-222
• /
• 2019

Climate change has been intensifying and affecting forest ecosystems. Over the years, the intensity and frequency of climate change have increased and the effects of climate change have been aggravating due to cumulative greenhouse gases such as CO₂, which has resulted in several negative consequences, drought being the main threat among all. Drought affects forest ecosystems directly and indirectly. Insufficient soil moisture, due to drought, may affect the growth of plants and soil respiration (SR), and soil temperature may increase because of desiccated soil. In addition, the mortality rate of plants and soil microorganisms increases. As a result, these effects could reduce forest productivity. Thus, in this article, we have presented various research studies on artificial drought using throughfall exclusion, and we have mainly focused on SR, which is significantly related to forest productivity. The research studies done worldwide were sorted as per the main groups of Köppen-Geiger climate classification and intensively reviewed, especially in tropical climates and temperate climates. We briefly reviewed the properties among the exclusion experiments about the temperate climate, which mostly includes Korean forests. Our review is not a proof of concept, but an assumption for adequate investigation of drought effects in the Korean forest.

• Journal of Korean Society for Geospatial Information Science
• /
• v.24 no.4
• /
• pp.3-11
• /
• 2016

Sixty four percent of Korean territory consists of forest which is fragile for forest fire. However, it is difficult to detect the disaster-induced damages due to topographic complexity in mountainous areas and harsh weather conditions. For this reason, satellite imaging systems have been widely utilized to detect the damage caused by forest fire. In particular, ground vegetation condition can be estimated from multi-spectral satellite images and change detection technique has been used to detect forest fire damages. However, since Korea has clear four seasons, simple change detection technique has limitation. In this regard, this study applied the NDVI(normalized difference vegetation index) annual cycle modeling technique on time-series of Landsat images from 1991 to 2007 to analyze influence of forest fire of Yangyang-gun, Gangwon-do in 2005 on vegetation condition. The encouraging result was obtained when comparing the areas where forest fire occurs with non-damaged areas. The mean value of NDVI was decreased by 0.07 before and after the forest fire. On the other hand, annual variability of NDVI had been increasing and peak value of NDVI was stationary after the forest fire. It is interpreted that understory vegetation was seriously damaged from the forest fire occurred in 2005.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.17 no.2
• /
• pp.165-172
• /
• 2015

The extreme weather conditions become frequent and severe with global warming. To prevent and cope forest disaster like a forest fire, we need an accurate micrometeorological prediction system for mountainous regions. This study addressed the forest fires occurred at Bonghwa and Gangneung in March, 2013. We constructed and optimized the prediction system that were required to interpret and simulate the forest micrometeorology. At first, we examined WRF physical sensitivity. Subsequently, KMA AWS observation data were assimilated using three-dimensional variation data assimilation method. The effectiveness of the assimilation was examined by using AWS observations enhanced with the Forest Research Institute observations. Finally, The 100 meters spatial resolution wind data were obtained by using the MUKLIMO for the given wind vector from WRF.

• Journal of Forest and Environmental Science
• /
• v.11 no.1
• /
• pp.1-21
• /
• 1995

This paper was aimed to find alternatives for coping spontaneously with the changing world forest resoures and international timber markets after UNCED in 1992. The guarantee of timber resources abroad in Korea is essential and the urgent subject, because about 90% of korean forest resources are specially under III age class and young, korean forest is in the step of improvement forestry. Therefore, some strategies were proposed for the stable guarantee of overseas timber resources.

• Proceedings of the KSRS Conference
• /
• 2005.10a
• /
• pp.186-188
• /
• 2005

Because forest fire changes the direction according to the environmental elements, it is difficult to predict the direction of it. Currently, though some researchers have been studied to which predict the forest fire occurrence and the direction of it, using the remote detection technique, it is not enough and efficient. And recently because of the development of the sensor technique, a lot of In-Situ sensors are being developed. These kinds of In-Situ sensor data are used to collect the environmental elements such as temperature, humidity, and the velocity of the wind. Accordingly we need the prediction technique about the environmental elements analysis and the direction of the forest fire, using the In-Situ sensor data. In this paper, as a technique for predicting the direction of the forest fire, we propose the correlation analysis technique about In-Situ sensor data such as temperature, humidity, the velocity of the wind. The proposed technique is based on the clustering method and clusters the In-Situ sensor data. And then it analyzes the correlation of the multivariate correlations among clusters. These kinds of prediction information not only helps to predict the direction of the forest fire, but also finds the solution after predicting the environmental elements of the forest fire. Accordingly, this technique is expected to reduce the damage by the forest fire which occurs frequently these days.

• Journal of Forest and Environmental Science
• /
• v.35 no.3
• /
• pp.205-211
• /
• 2019

The objective of this research was to assess the amount of carbon stock of coarse woody debris (CWD) in Bombo-Lumene Reserve. Data on lying CWD was collected on 35 circular sampling plots using Line Intersect Sampling (LIS) method. A total of 230 samples CWD (${\geq}10cm$ diameter) were inventoried. The mean carbon stocks of CWD was $29.48Mg\;C\;ha^{-1}$, ranging from 4.32 to $73.54Mg\;C\;ha^{-1}$. The CWD carbon stocks displayed a wide range of variation in decay states. The allocation of CWD among the decay class of all the CWD samples reveals that the most important classes were class 1 and class 3 with 323.66 and $321.96Mg\;C\;ha^{-1}$, followed by class 4 with 264.56 and the last one was class 2 with $121.72Mg\;C\;ha^{-1}$. The results suggested that the dead wood component is important in carbon sequestration and should be taken into consideration for quantification of carbon stocks not only in Bombo-Lumene Reserve, but in all forest ecosystems in the Democratic Republic of Congo.