• 한국산림과학회지
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• 제110권4호
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• pp.648-657
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• 2021

본 연구는 국가산림자원조사를 활용하여 임상별 및 주요 수종별 재적생장량을 추정하고, 연평균생장량(MAI)과 연년생장량(CAI) 등을 도출하여 벌기령을 제시하고자 수행하였다. 재적생장 추정을 위하여 Chapman-Richards 모델을 적용하였다. 도출된 임상별 재적추정식에서는 침엽수림이 가장 높은 생장을 하는 것으로 나타났다. 주요 수종별 추정식은 침엽수종(3종) 중에서는 일본잎갈나무가, 그리고 활엽수종(3종)에서는 굴참나무가 가장 높은 생장이 예측되었다. 그리고 이들 추정식은 적합도지수가 일본잎갈나무 0.32, 굴참나무가 0.21 등으로 대체적으로 낮게 나타났다. 그러나 재적 추정식의 적용 가능성을 알 수 있는 잔차도 분석에 있어서는, 일부 30년 이상의 임령에서 추정식의 추정치가 과소 추정되는 경향을 보였으나, 대부분 0을 중심으로 잔차가 고르게 분포하고 있었다. 따라서 이들 식이 우리나라 현실림의 수종들에 대한 재적을 추정할 수 있을 것으로 판단된다. 추정된 재적을 이용하여 연평균생장량을 계산한 결과, 침엽수림 중 중부지방 소나무 34년, 일본잎갈나무 35년, 리기다소나무 31년일 때 MAI가 최대시기에 도달하는 것으로 나타났다. 그리고 활엽수림에 있어서는 굴참나무 32년, 상수리나무 30년, 신갈나무 29년일 때가 최대시기임을 알 수 있었다. 또한 MAI와 CAI를 계산하여, 이들이 만나는 지점을 재적수확 최대 벌기령으로 결정하였다. 그 결과는 현재 산림청이 제시한 기준 벌기령과 큰 차이를 보이지 않아 정책자료로 활용이 가능할 것으로 판단된다.

• Journal of Forest and Environmental Science
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• 제36권1호
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• pp.17-24
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• 2020

This study aimed to figure out and compare the increment of biomass by thinning intensity focused on the plantation of the two major coniferous species (Larix kaempferi and Pinus koraiensis) of South Korea. The inventory interval was three years under the effects of three types of thinning treatments; control (no thinning), light (20% thinning) and heavy (40% thinning). The results showed standing biomass increment of both species decreased as thinning intensity increased (heavylight>control). Meanwhile, the lowest of on-site biomass changes occurred in the control plot, and the greatest was in the heavy thinning plot because thinning was involved with leaving the felling residual biomass (leaves, branches and roots) on the site. According to the results from this short-term study, unthinned stands is preferable for maximizing standing biomass as well as carbon sequestration. However long-term investigation should be considered in order to see more clear results.

• 대한원격탐사학회지
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• 제19권1호
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• pp.1-9
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• 2003

MODIS LAI product has been one of key variable for analyzing the quantitative aspects of terrestrial ecology at global scale. This study was designed to validate MODIS global LAI product for regional application. To examine the quality of MODIS LAI data, we developed a reference LAI surface that was derived by relating the ground LAI measurements to Landsat ETM+ reflectance. The study area, the Kwangneung Experiment Forest in Korea, covers mixed deciduous and coniferous species of temperate forest. Ground measurements of LAI were conducted at 30 sample plots by using a photo-optical instrument during the growing season of 2002. Ground measured LAI data were then related to the ETM+ reflectance to produce a continuous map of LAI surface over the study area. From the comparison between the MODIS LAI and the reference LAI, it was found that the MODIS LAI values were slightly higher at the forestland. Considering the limitations of producing the reference LAI surface and the uncertainty of the input variable for the MODIS LAI algorithm, such small discrepancy mal not be significant.

• 한국산림과학회지
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• 제94권2호통권159호
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• pp.117-120
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• 2005

This study was conducted to estimate population size and investigate habitat characteristics for the conservation and management of Amur goral Nemorhaedus caudatus raddeanus in DMZ (Demilitarized Zone) of Gangwon Province in South Korea from November 2003 to May 2004. The Amur gorals counting were carried out by assistance of military soldiers who guards the southern boundary of DMZ. Four hundred sixty individuals were estimated as total population size in DMZ of Gangwon Province. Deciduous forest, rocky area and coniferous forest were dominant land cover types in habitat of Amur goral. DMZ and its vicinity of Gangwon Province are very important areas for the conservation of this species. It is needed to establish management plan for the conservation of Amur goral and their habitats in DMZ.

• Journal of Forest and Environmental Science
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• 제39권4호
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• pp.235-245
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• 2023

Forest fuel moisture content is a crucial factor influencing the combustion rate and fuel consumption during forest fires, significantly impacting the occurrence and spread of wildfires. In this study, meteorological data were gathered using a meteorological measuring device (HOBO data logger) installed in the south and north slopes of Kangwon National University Forest, as well as on bare land outside the forest, from November 1, 2021, to October 31, 2022. The objective was to analyze the relationship between meteorological data and fuel moisture content. Fuel moisture content from the ground cover on the south and north slopes was collected. Fallen leaves on the ground were utilized, with a focus on broad-leaved trees (Prunus serrulata, Quercus dentata, Quercus mongolica, and Castanea crenata) and coniferous trees (Pinus densiflora and Pinus koraiensis), categorized by species. Additionally, correlation analysis with fuel moisture content was conducted using temperature (average, maximum, and minimum), humidity (average, minimum), illuminance (average, maximum, and minimum), and wind speed (average, maximum, and minimum) data collected by meteorological measuring devices in the study area. The results indicated a significant correlation between meteorological factors such as temperature, humidity, illuminance, and wind speed, and the moisture content of fuels. Notably, exceptions were observed for the moisture content of the on the north slope and that of the ground cover of Prunus serrulata and Castanea crenata.

• 한국농림기상학회지
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• 제25권2호
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• pp.71-79
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• 2023

본 연구는 동일한 임분연령과 유사한 입지환경에서 생육한 삼나무, 편백, 종가시나무 임분을 대상으로 2020년 5월부터 2022년 4월까지 2년 동안 토양호흡을 측정하고 토양 환경요인과의 관계를 조사하였다. 토양호흡은 세 임분 모두 뚜렷한 월별 변동을 보였으며 종가시나무 임분의 변동이 삼나무나 편백 임분에 비해 크게 나타났다. 조사기간 동안 평균 토양호흡은 종가시나무 임분이 2.63µmol m^-2 s^-1로, 편백 0.99µmol m^-2 s^-1, 삼나무 0.93µmol m^-2 s^-1에 비해 유의적으로 토양 CO₂ 방출(P < 0.05)이 크게 나타났다. 한편, 토양 pH는 종가시나무가 pH 4.87로 삼나무 pH 5.30, 편백 pH 5.14에 비해 낮은 값을 보였으나, 토양수분 함량, 토양온도, 토양 전기전도도, 토양 유기탄소 함량 등은 임분 간 유의한 차가 없었다. 조사한 임분 모두 토양온도와 토양호흡 사이에 유의적인 지수함수모델 관계가 있었으며(R² = 0.44~0.80), Q₁₀ 값은 삼나무 2.58, 편백 3.10, 종가시나무 5.13으로 종가시나무 임분이 가장 크게 나타났다. 본 연구 결과에 따르면 종가시나무 임분은 삼나무와 편백 임분에 비해 토양호흡이 많고 토양온도 상승에 가장 크게 반응할 것으로 나타났다.

• 한국환경보건학회지
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• 제47권6호
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• pp.548-557
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• 2021

Background: Due to the emergence of new diseases such as COVID-19, an increasing number of people are struggling with stress and depression. Interest is growing in forest-based recreation for physical and mental relief. Objectives: A prediction model equation using meteorological factors and data was developed to predict the quantities of medicinal substances generated in forests (monoterpenes) in real-time. Methods: The concentration of phytoncide and meteorological factors in the forests near Chuncheon in South Korea were measured for nearly two years. Meteorological factors affecting the observation data were acquired through a multiple regression analysis. A model equation was developed by applying a linear regression equation with the main factors. Results: The linear regression analysis revealed a high explanatory power for the coefficients of determination of temperature and humidity in the coniferous forest (R²=0.7028 and R²=0.5859). With a temperature increase of 1℃, the phytoncide concentration increased by 31.7 ng/Sm³. A humidity increase of 1% led to an increase in the coniferous forest by 21.9 ng/Sm³. In the deciduous forest, the coefficients of determination of temperature and humidity had approximately 60% explanatory power (R²=0.6611 and R²=0.5893). A temperature increase of 1℃ led to an increase of approximately 9.6 ng/Sm³, and 1% humidity resulted in a change of approximately 6.9 ng/Sm³. A prediction model equation was suggested based on such meteorological factors and related equations that showed a 30% error with statistical verification. Conclusions: Follow-up research is required to reduce the prediction error. In addition, phytoncide data for each region can be acquired by applying actual regional phytoncide data and the prediction technique proposed in this study.

• The Korean Journal of Ecology
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• 제14권4호
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• pp.457-467
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• 1991

Occurrence and distribution of the celluar slime molds in relation to the coastal plant communities of svven islands near inch'on wereinvestigated. as a results, total seven species were isolated from the soils of the coastal plant communities. These are dictyostelium mucoroides, polysphodylium pallidum, dictystelium polycephalum. d. mucoroides was the most commonly found in the coastal plant communities investigated, and was dominant pecularly in the coastal mixed forests, the coastal broad-leaved forests and salt marshes. In the coastal coniferous forest and the coastal dune sand plants, hoeever, p. violaceum was the dominant species. species diversity was relatively was relatively high in the coastal coniferous ferests and the coastal mixed forests. However, agerage number of species isolated from all plant communities was very low,2.8.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.386-389
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• 1999

In this study, visible and near infrared channels of NOAA/AVHRR data were used to classify land use and vegetation types over Korean peninsula. Analyzing forest stand structures and prediction of forest productivity using satellite data were also reviewed. Land use and land cover classification was made by unsupervised clustering methods. After monthly Normalized Difference Vegetation Index (NDVI) composite images were derived from April to November 1998, the derived composite images were used as temporal feature vector's in this clustering analysis. Visually interpreted, the classification result was satisfactory in overall for it matched well with the general land cover patterns. But subclassification of forests into coniferous, deciduous, and mixed forests were much confused due to the effects of low ground resolution of AVHRR data and without defined classification scheme. To investigate into the forest stand structures, digital forest type maps were used as an ancillary data. Forest type maps, which were compiled and digitalized by Forestry Research Institute, were registered to AVHRR image coordinates. Two data sets were compared and percent forest cover over whole region was estimated by multiple regression analysis. Using this method, other forest stand structure characteristics within the primary data pixels are expected to be extracted and estimated.

• 한국환경복원기술학회지
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• 제23권5호
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• pp.59-71
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• 2020

Using high-resolution stereoscopic aerial images (in 2008, 2012 and 2016), we conducted to analyze the spatial characteristics affecting evergreen coniferous die-off in the northwestern ridge (major distribution area such as Abies nephrolepis), Seoraksan National Park. The detected number of dead trees at evergreen coniferous forest (5.24㎢) was 1,223 in 2008, was 2,585 in 2012 and was 3,239 in 2016. The number of cumulated dead trees was 7,047 in 2016. In recent years, the number of dead trees increased relatively in the northwest ridge, Seoraksan National Park. Among the analysed spatial factor (altitude, aspect, slope, solar radiation and topographic wetness index), the number of dead trees was increased in the conditions with high altitude, steep slope and dry soil moisture. A spatial distribution of dead tree was divided into 2 groups largely (high altitude with high solar radiation, low altitude with steep slope). In conclusion, the dead trees of evergreen coniferous were concentrated at spatial distribution characteristics causing dryness in the northwestern ridge, Seoraksan National Park.