• Title/Summary/Keyword: ARTIFICIAL FOREST

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Changes in nocturnal insect communities in forest-dominated landscape relevant to artificial light intensity

  • Lee, Hakbong;Cho, Yong-Chan;Jung, Sang-Woo;Kim, Yoon-Ho;Lee, Seung-Gyu
    • Journal of Ecology and Environment
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    • v.45 no.4
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    • pp.218-227
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    • 2021
  • Background: Artificial light at night has recently been identified as a major factor adversely affecting global insect diversity. Here, we compared the insect diversity in Gwangneung Forest Biosphere Reserve, specifically in the Korea National Arboretum (with no artificial light at night), with that of three nearby urban sites with a gradient of artificial light at night (five locations at each site). We analyzed the effects of the artificial night lighting index, mean annual temperature, and field light intensity (lux) at night on the insect community structure. Results: The urban sites generally exhibited higher species richness and abundance as well as clear indicator species compared with the control site. The size distribution of the collected insects markedly differed between the control and the three urban sites. The abundance of herbivorous and omnivorous insects increased and decreased, respectively, with the increase in light intensity. Species richness of herbivorous and omnivorous insects was likely correlated with the field light intensity at night and artificial night lighting index, respectively. Conclusions: This study demonstrates the association between nighttime environment and marked changes in insect community structure and revealed consequent transition of ecosystem services by changes in trophic group composition.

Analysis of Adolescent Suicide Factors based on Random Forest Machine Learning Algorithm

  • Gi-Lim HA;In Seon EO;Dong Hun HAN;Min Soo KANG
    • Korean Journal of Artificial Intelligence
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    • v.11 no.3
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    • pp.23-27
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    • 2023
  • The purpose of this study is to identify and analyze suicide factors of adolescents using the Random Forest algorithm. According to statistics on the cause of death by the National Statistical Office in 2019, suicide was the highest cause of death in the 10-19 age group, which is a major social problem. Using machine learning algorithms, research can predict whether individual adolescents think of suicide without investigating suicidal ideation and can contribute to protecting adolescents and analyzing factors that affect suicide, establishing effective intervention measures. As a result of predicting with the random forest algorithm, it can be said that the possibility of identifying and predicting suicide factors of adolescents was confirmed. To increase the accuracy of the results, continuous research on the factors that induce youth suicide is necessary.

Hydrological aspects of a non-managed artificial forest watershed of Chamaecyparis obtuse Endl.

  • Otsuki, Kyoichi;Higashi, Tomohiro;Ide, Junichiro;Sato, Nobuhiro;Kume, Atsushi;Ogawa, Shigeru
    • Proceedings of the Korea Water Resources Association Conference
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    • 2003.05a
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    • pp.81-88
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    • 2003
  • In this report, we first introduce the plan of the Japanese Council of University Experimental Forests to establish Long-Term Forest Hydrological Network, and propose the cooperation between Japan Society of Hydrology and Water Resources (JSHWR) and Korean Water Resources Association (KWRA) to fulfill the plan. Then we introduce our hydrological researches conducted in a non-managed artificial forest watershed of Kyushu University Forests in 2002. Though hydrological phenomena have not sufnciently investigated, we introduce the hydrological aspects obtained in 2002 to initiate cooperative researches on Forest Ecosystems with KWRA.

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COMPARATIVE ANALYSIS ON MACHINE LEARNING MODELS FOR PREDICTING KOSPI200 INDEX RETURNS

  • Gu, Bonsang;Song, Joonhyuk
    • The Pure and Applied Mathematics
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    • v.24 no.4
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    • pp.211-226
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    • 2017
  • In this paper, machine learning models employed in various fields are discussed and applied to KOSPI200 stock index return forecasting. The results of hyperparameter analysis of the machine learning models are also reported and practical methods for each model are presented. As a result of the analysis, Support Vector Machine and Artificial Neural Network showed a better performance than k-Nearest Neighbor and Random Forest.

Planting Managements for Improvement of Species Diversity in Recreational Forest - A Case Study of Chukryongsan Recreational Forest, Gyeonggi-do - (자연휴양림의 종다양성 증진을 위한 식생관리 방안 연구 - 경기도 축령산자연휴양림을 사례로 -)

  • Lee, Tae-Sun;Lee, Kyong-Jae;Choi, Byuong-Un;Park, Seok-Cheol
    • Korean Journal of Environment and Ecology
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    • v.24 no.4
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    • pp.351-362
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    • 2010
  • This study was supposed to offer vegetation plans for functional improvement of the recreational forest by researching Mt. Chukryong which is located at Oebang-li Sudong-Myon Namyangju Kyong-gi Province in Korea. In this study, artificial vegetation and natural vegetation near trails in recreational forest were researched through biodiversity analysis. From this analysis process, a typical management improvement of the biodiversity functions were examined by reviewing functions biotope condition, vegetation structure and wild bird community condition. Typical vegetation system was divided into four detail parts: Managed artificial Pinus koraiensis forest, Not managed artificial Pinus koraiensis forest, Natural deciduous forest and Not managed deciduous forest. As a result of the vegetation structure, the numerical value of the deciduous forest species diversity was higher than that of artificial Pinus koraiensis, and the numerical value of the managed condition was higher than that of not managed condition. As a result of a habitat structure analysis of the wild bird community, managed Pinus koraiensis forests were inadequate structure for wild birds to habit in there because the forests had weak structure layers, but unmanaged deciduous forest and unmanaged Pinus koraiensis that had diverse layers was proper places for birds to in habit. Thus, based on the functional analysis of biodiversity, management patterns of the target area were concluded in two manners: conserving management and restoring management. Deciduous forest protection target areas included natural deciduous forest area and managed deciduous forest area, ecological restoration target area included unmanaged artificial Pinus koraiensis area and restoring management target area includes managed artificial Pinus koraiensis.

A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images (Sentinel-2B 위성 영상을 활용한 산불 피해지역 식생 회복률에 관한 연구)

  • Gumsung Cheon;Kwangil Cheon;Byung Bae Park
    • Journal of Environmental Impact Assessment
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    • v.32 no.6
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    • pp.463-472
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    • 2023
  • The amount of damage and the area of damage to forest fires are increasing globally, and the effectiveness analysis of the restoration method after the damage is performed insufficient. This study calculated the area of forest fire damage was calculated using Sentinel-2B satellite images and stack map and the intensity of forest fire damage is analyzed according to the forest type. In addition, the vegetation index was calculated using various wavelength bands. Based on the results, the vegetation resilience by the restoration method was quantitatively. As results, areas with a high proportion of coniferous forests suffered high intensity forest fire damage, and areas with a relatively high ratio of mixed and broad-leaved forests tended to have low forest fire damage. Also, artificial forests showed a recovery of about 92.7% compared to before forest fires and natural forests showed a recovery of about 99.6% from the result of analyzing vegetation resilience in artificial and natural forests after forest fires. Accordingly, it was confirmed that natural forests after forest fire damage had superior vegetation resilience compared to artificial forests. It can be proposed that this study is meaningful in providing important information for efficiently restoring the affected target site and the selection criteria for trees to reduce forest fire damage through the evaluation of vegetation resilience by the intensity of forest fire damage and restoration methods.

Analysis of forest fire danger rating on accumulation types of the leaving of thinning slash (숲가꾸기 산물의 적재형태에 따른 산불위험도 분석)

  • Lee, Si-Young;Lee, Myung-Woog;Chae, Hee-Min;Kim, Young-Hwan;Park, Houng-Sek;Kwon, Chun-Geun
    • 한국방재학회:학술대회논문집
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    • 2007.02a
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    • pp.223-230
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    • 2007
  • Nowaday, for the promotion of producing forest trees, production of excellent timbers, and build-up of public forest area, it is on the increase of the thinning-forest for artificial forest, natural forest, eco-friendly forest, and the forest for development and improvement of forest resources nationwide. Even though the thinning-forest is applied around 180,000ha every year, the quantity of collected/used products is only 18,000ha $(240,000m^3)$ which is 10% of the whole thinning-forest area. Meanwhile, some reports represent that the left products after thinning-forest might increase the severity of forest fire and the waste of resources. Therefore, this study focused on the analysis of correlation between the accumulated products after thinning-forest and forest fire, and providing a preparation plan for the forest fire.

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Analysis of Preference and Psychological Recovery by Sound, Scenery, Soundscape in Healing Forest (치유의숲 소리, 경관, 소리경관(soundscape)에 따른 선호도 및 심리적 회복감 분석)

  • Kim, Jin-Sook;Shin, Won-Seob;Kim, Myeong-Jong
    • Journal of Environmental Science International
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    • v.30 no.3
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    • pp.267-277
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    • 2021
  • This study investigates sound, scenery, and soundscape preferences, which are sensory factors that users feel in a healing forest, comparing the difference in recovery by the soundscape. In the barrier-free, wooden walking path of the National Daegwallyeong Healing Forest, a survey site with five different conditions was selected. Users prefer water sounds the most and places with open views for scenery. For the complex sensation of soundscapes, the most preferred is a space where water sounds can be heard, and either a waterfall or an open view can be seen. A profile of mood states test was use to compare users' psychological recovery by the soundscape. It was found that users felt the most positive mood with water sounds and open views. In addition, users' preference for artificial sounds, scenery, and soundscape was the lowest. In the mood state test, it was found that the artificial soundscape incited the most negative emotions.

Effects of Artificial Asian Dust on Photosynthesis, Respiration, Growth and Stoma in Five Tree Species (인공황사 처리가 몇 수목의 광합성, 호흡, 생장 및 기공에 미치는 영향)

  • Bae, Ki Kang;Lee, Don Koo;Park, Yeong Dae
    • Journal of Korean Society of Forest Science
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    • v.98 no.4
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    • pp.392-398
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    • 2009
  • Artificial Asian dust was treated in this study to compare and determine its effect on growth, photosynthesis, respiration and stomata of 5 species trees. Sophora japonica's growth and respiration using artificial Asian dust treatment which is 10 times of average contents of Asian dust: $5,000{\mu}g{\cdot}m^{-2}$ decreases after 3 weeks while no significant difference in other species. The maximum photosynthesis of Sophora japonica and Betula pendula decreased significantly after 3 weeks and 6 weeks, respectively, using artificial Asian dust treatment which is average contents of Asian dust: $500{\mu}g{\cdot}m^{-2}$. At $5,000{\mu}g{\cdot}m^{-2}$ treatment, photosynthesis of both species decreased just after treatment of artificial Asian dust. Quercus acutissima, Quercus mongolica and Acer triflorum have no significant differences. Dust was found inside the Sophora japonica's stomatas under heavy dust treatment when viewed under the light electron microscope. By scanning electron microscopy, the higher rate of stomatal opening of Sophora japonica and Betula pendula was recognized and the size of both stomatas was bigger than other species. This result means that Asian dust has an influence in decreasing the photosynthesis, respiration and growth of some species especially if the stomatas are large.