• Title/Summary/Keyword: Forest Change

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Estimation of unused forest biomass potential resource amount in Korea

  • Sangho Yun;Sung-Min Choi;Joon-Woo Lee;Sung-Min Park
    • Korean Journal of Agricultural Science
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    • v.49 no.2
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    • pp.317-330
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    • 2022
  • Recently, the policy regarding climate change in Korea and overseas has been to promote the utilization of forest biomass to achieve net zero emissions. In addition, with the implementation of the unused forest biomass system in 2018, the size of the Korean market for manufacturing wood pellets and wood chips using unused forest biomass is rapidly expanding. Therefore, it is necessary to estimate the total amount of unused forest biomass that can be used as an energy source and to identify the capacity that can be continuously produced annually. In this study, we estimated the actual forest area that can be produced of logging residue and the potential amount of unused forest biomass resources based on GT (green ton). Using a forest functions classification map (1 : 25,000), 5th digital forest type map (1 : 25,000), and digital elevation model (DEM), the forest area with a slope of 30° or less and mountain ridges of 70% or less was estimated based on production forest and IV age class or more. The total forest area where unused forest biomass can be produced was estimated to be 1,453,047 ha. Based on GT, the total amount of unused forest biomass potential resources in Korea was estimated to be 117,741,436 tons. By forest type, coniferous forests were estimated to be 48,513,580 tons (41.2%), broad-leaved forests 27,419,391 tons (23.3%), and mixed forests 41,808,465 tons (35.5%). Data from this research analysis can be used as basic data to estimate commercial use of unused forest biomass.

The Management Status and Civic Consciousness Analysis on the Urban Forests in Chuncheon (춘천시 도시림의 관리실태 및 시민의식 분석)

  • Kim, Ji-Hun;Choi, In-Hwa
    • Journal of Forest and Environmental Science
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    • v.28 no.1
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    • pp.46-55
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    • 2012
  • The research on urban forests in Chuncheon, so far, has mainly conducted in Ponguisan urban forest. Research on other urban forests in Chuncheon was scarce. Accordingly, in this study, the author chose the main urban forests in Chuncheon and tried to find a way of efficient establishment and management of urban forests in Chuncheon by field and questionnaire survey. The research findings, there were several reasons why effective management can not be implemented in the main urban forests in Chuncheon. To solve these problems and make an efficient establishment and management of urban forests in Chuncheon, the first way is to make forest management plans on the urban forest in Chuncheon and expand administrative organization, personnel and budget. Establishment and management of urban forests needs a practical, strengthened overall management system. The second way is to enhance the regional and functional characteristics for urban forest, expand the area of urban forests, and enhance management of Street trees. The third way is to designate Urban Nature Park or Urban Park for the main urban forests in Chuncheon and need to change the ownership of the urban forests by purchasing. The fourth way is to respond to Chuncheon citizen's preference and their way of utilization when create the urban forests in Chuncheon, expand convenience facilities, relaxation facilities as well.

Analysis of Changes in Pine Forests According to Natural Forest Dynamics Using Time-series NFI Data (시계열 국가산림자원조사 자료 기반 자연적 임분동태 변화에 따른 소나무림의 감소 특성 평가)

  • Eun-Sook Kim;Jong Bin Jung;Sinyoung Park
    • Journal of Korean Society of Forest Science
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    • v.113 no.1
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    • pp.40-50
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    • 2024
  • Pine forests are continuously declining due to competition with broadleaf trees, such as oaks, as a consequence of changes in the natural dynamics of forest ecosystem. This natural decline creates a risk of losing the various benefits pine trees have provided to people in the past. Therefore, it is necessary to prepare future forest management directions by considering the state of pine tree decline in each region. The goal of this study is to understand the characteristics of pine forest changes according to forest dynamics and to predict future regional changes. For this purpose, we evaluated the trend of change in pine forests and extracted various variables(topography, forest stand type, disturbance, and climate) that affect the change, using time-series National Forest Inventory (NFI) data. Also, using selected key variables, a model was developed to predict future changes in pine forests. As a results, it showed that the importance of pine trees in forests across the country has decreased overall over the past 10 years. Also, 75% of the sample points representing pine trees remained unchanged, while the remaining 25% had changed to mixed forests. It was found that these changes mainly occurred in areas with good moisture conditions or disturbance factors inside and outside the forest. In the next 10 years, approximately 14.2% of current pine forests was predicted to convert to mixed forests due to changes in natural forest dynamics. Regionally, the rate of pine forest change was highest in Jeju(42.8%) and Gyeonggi(26.9%) and lowest in Gyeongbuk(8.8%) and Gangwon(13.8%). It was predicted that pine forests would be at a high risk of decline in western areas of the Korean Peninsula, including Gyeonggi, Chungcheong, and Jeonnam. This results can be used to make a management plan for pine forests throughout the country.

Analysis of Vulnerable Regions of Forest Ecosystemin the National Parks based on Remotely-sensed Data (원격탐사자료에 기초한 국립공원 산림 생태계의 취약지역 분석)

  • Choi, Chul-Hyun;Koo, Kyung-Ah;Kim, Jinhee
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.19 no.5
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    • pp.29-45
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    • 2016
  • This study identified vulnerable regions in the national parks of the Republic of Korea (ROK). The potential vulnerable regions were defined as areas showing a decline in forest productivity, low resilience, and high sensitivity to climate variations. Those regions were analyzed with a regression model and trend analysis using the Enhanced Vegetation Index (EVI) data obtained from long-term observed Moderate Resolution Imaging Spectroradiometer (MODIS) and gridded meteorological data. Results showed the area with the highest vulnerability was Naejangsan National Park in the southern part of ROK where 32.5% ($26.0km^2$) of the total area was vulnerable. This result will be useful information for future conservation planning of forest ecosystem in ROK under environmental changes, especially climate change.

Predicting change of suitable plantation of Schisandra chinensis with ensemble of climate change scenario (기후변화 시나리오 앙상블을 통한 오미자의 재배적지 변화 예측)

  • Lee, Sol Ae;Lee, Sang-Hyuk;Ji, Seung-Yong;Choi, Jaeyong
    • Journal of Environmental Impact Assessment
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    • v.25 no.1
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    • pp.77-87
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    • 2016
  • Predicting possible distributed area of Schisandra chinensis which has long term cultivation period among non-timber forest products is needed to be studied to deal with climate change. Hence, distribution of Schisandra chinensis in the 2050s and 2070s was predicted under two scenario, RCP 4.5 and RCP 8.5, with ensemble of 5 climate models used in IPCC AR5. According to estimation using RCP 4.5, distribution of Schisandra chinensis in 2050s appeared to decrease 43% of current area and appeared to decrease 57% in 2070s respectively. Moreover, According to estimation using RCP 8.5, distribution of Schisandra chinensis in 2050s appeared to decrease 55% of current area and appeared to decrease 85% in 2070s. As a final outcome, Schisandra chinensis was estimated to extinct in the future except Gangwon-do and Gyeongsangbuk-do when analyzing change between current distributed area and future distributed area. As a result, those areas were classified as vulnerable areas to climate change. Therefore, Gangwon-do and Gyeongsangbuk-do were thought to be ideal for growing Schisandra chinensis. The result from this study can be used to provide basic information for selecting proper area of Schisandra chinensis considering climate change effect.

Color Change and Consumer Preferences towards Color of Heat-Treated Korean White Pine and Royal Paulownia Woods

  • Hidayat, Wahyu;Qi, Yue;Jang, Jae Hyuk;Park, Byung Ho;Banuwa, Irwan Sukri;Febrianto, Fauzi;Kim, Nam Hun
    • Journal of the Korean Wood Science and Technology
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    • v.45 no.2
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    • pp.213-222
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    • 2017
  • Heat treatment of wood is an attractive alternative environmentally-friendly treatment to add value of less valuable woods by improving color, dimensional stability, and natural durability. To improve the color properties of Korean white pine (Pinus koraiensis) and royal paulownia (Pauwlonia tomentosa), we treated the woods at $160^{\circ}C$, $180^{\circ}C$, $200^{\circ}C$, and $220^{\circ}C$ for 2 hours. Color change after heat treatment was evaluated using the CIE-Lab color system and survey was conducted to determine the consumer preferences towards color of heat-treated wood. Lightness ($L^*$) decreased with increasing temperature and the higher degree of change was obtained in royal paulownia. The red/green chromaticity ($a^*$) in both wood decreased after heat treatment at $160^{\circ}C$, and constantly increased after heat treatment at $180^{\circ}C$ to $220^{\circ}C$. Yellow/blue chromaticity ($b^*$) in Korean white pine tended to increase after heat treatment at $160^{\circ}C$, then decreased gradually afterwards. In royal paulownia, $b^*$ values linearly increased with increasing temperature. Overall color change (${\Delta}E^*$) increased with increasing temperature with higher degree obtained in royal paulownia. Samples with the clamps in both wood species showed lower degree of the change in $L^*$, $a^*$, b and ${\Delta}E^*$. The results of the consumer preferences test showed that the darker colors of heat-treated woods were more preferred by consumers compared to the lighter colors of untreated woods. Consequently, heat treatment could enhance the color properties of Korean white pine and royal paulownia woods for value added products.

Relationship between Land-Use Change and Soil Carbon and Nitrogen (토지(土地) 이용(利用) 형태(形態)의 변화(變化)와 토양(土壤) 내(內) 탄소(炭素)와 질소(窒素의 관계(關係))

  • Son, Yowhan;Lee, Sook Hee
    • Journal of Korean Society of Forest Science
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    • v.90 no.3
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    • pp.242-248
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    • 2001
  • Changes in land-use can affect soil organic matter content and fertility. We compared total soil carbon and nitrogen concentrations, soil respiration, and nitrogen availability under three land-use types in central Korea; conversion of old rice field to natural willow-maple (Salix-Acer) forest, conversion of old field to artificial Korean pine (Pines koraiensis) forest, and indigenous oak (Quercus spp.) forest. After 20 years of fallow the area of rice field conversion to forest had higher soil carbon and nitrogen concentrations in the soil depth of 0-10cm and 10-20cm than the areas of field conversion to Korean pine forest and indigenous forest. In general, soil carbon and nitrogen concentrations decreased with soil depth. Organic matter accumulation as a balance of input and decomposition seemed to be higher in the soil of previous rice field, and carbon and nitrogen accumulation was largely confined to the topsoil. Soil respiration rates were greatest at the area of rice field conversion to forest, and appeared to be related to soil carbon and soil moisture. Soil nitrogen availability measured by the ion exchange resin bag method differed significantly among land-use types; soil inorganic nitrogen ($NH_4{^+}+NO_3{^-}$) and ammonium availability were highest in the soil under indigenous oak forest followed by conversion of old field to artificial Korean pine forest and conversion of old field to natural willow-maple forest.

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Machine-learning Approaches with Multi-temporal Remotely Sensed Data for Estimation of Forest Biomass and Forest Reference Emission Levels (시계열 위성영상과 머신러닝 기법을 이용한 산림 바이오매스 및 배출기준선 추정)

  • Yong-Kyu, Lee;Jung-Soo, Lee
    • Journal of Korean Society of Forest Science
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    • v.111 no.4
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    • pp.603-612
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    • 2022
  • The study aims were to evaluate a machine-learning, algorithm-based, forest biomass-estimation model to estimate subnational forest biomass and to comparatively analyze REDD+ forest reference emission levels. Time-series Landsat satellite imagery and ESA Biomass Climate Change Initiative information were used to build a machine-learning-based biomass estimation model. The k-nearest neighbors algorithm (kNN), which is a non-parametric learning model, and the tree-based random forest (RF) model were applied to the machine-learning algorithm, and the estimated biomasses were compared with the forest reference emission levels (FREL) data, which was provided by the Paraguayan government. The root mean square error (RMSE), which was the optimum parameter of the kNN model, was 35.9, and the RMSE of the RF model was lower at 34.41, showing that the RF model was superior. As a result of separately using the FREL, kNN, and RF methods to set the reference emission levels, the gradient was set to approximately -33,000 tons, -253,000 tons, and -92,000 tons, respectively. These results showed that the machine learning-based estimation model was more suitable than the existing methods for setting reference emission levels.

Survival Analysis of Forest Fire-Damaged Korean Red Pine (Pinus densiflora) using the Cox's Proportional Hazard Model (콕스 비례위험모형을 이용한 산불피해 소나무의 생존분석)

  • Jeong Hyeon Bae;Yu Gyeong Jung;Su Jung Ahn;Won Seok Kang;Young Geun Lee
    • Journal of Korean Society of Forest Science
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    • v.113 no.2
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    • pp.187-197
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    • 2024
  • In this study, we aimed to identify the factors influencing post-fire mortality in Korean red pine (Pinus densiflora) using Cox's proportional hazards model and analyze the impact of these factors. We monitored the mortality rate of fire-damaged pine trees for seven years after a forest fire. Our survival analysis revealed that the risk of mortality increased with higher values of the delta normalized difference vegetation index (dNDVI), delat normalized burn ratio (dNBR), bark scorch index (BSI), bark scorch height (BSH) and slope. Conversely, the risk of mortality decreased with higher elevation, greater diameter at breast height (DBH), and higher value of delta moisture stress index (dMSI) (p < 0.01). Verification of the proportional hazards assumption for each variable showed that all factors, except slope aspect, were suitable for the model and significantly influenced fire occurrence. Among the variables, BSI caused the greatest change in the survival curves (p < 0.0001). The environmental change factors determined through remote sensing also significantly influenced the survival rates (p < 0.0001). These results will be useful in establishing restoration plans considering the potential mortality risk of Korean red pine after a forest fire.

Evaluation of climate change on the rice productivity in South Korea using crop growth simulation model

  • Lee, Chung-Kuen;Kim, JunHwan;Shon, Jiyoung;Yang, Won-Ha
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2011.11a
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    • pp.16-18
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    • 2011
  • Evaluation of climate change on the rice productivity was conducted using crop growth simulation model, where Odae, Hwaseong, Ilpum were used as a representative cultivar of early, medium, and medium-late rice maturity type, respectively, and climate change scenario 'A1B' was applied to weather data for future climate change at 57sites. When cropping season was fixed, rice yield decreased by 4~35% as climate change which was caused by poor filled grain ratio with high temperature and low irradiation during grain-filling. When cropping season was changed, rice yield decreased by only 0~5% as climate change which was caused poor filled grain ratio with low irradiation during grain-filling period. However, this irradiation decline was less than when cropping season was fixed. Therefore, we need to develop rice cultivars resistant to low irradiation which can maintain high filled grain ratio under poor irradiation condition, and late maturity rice cultivars whose growing period is longer than the present medium-late maturity type.

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