• Title/Summary/Keyword: 수림지

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Community Distribution on Mountain Forest Vegetation of the Hwangjangsan Area in the Worak National Park, Korea (월악산국립공원 황장산 일대 삼림식생의 군락분포에 관한 연구)

  • Lee, Jung-Yun;Oh, Jang-Geun;Jung, Se-Hoon;Kim, Ha-Song
    • Korean Journal of Ecology and Environment
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    • v.48 no.4
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    • pp.203-211
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    • 2015
  • Forest vegetation of Hwangjangsan (1,077.3 m) in Woraksan National Park is classified into mountain forest vegetation. Mountain forest vegetation is subdivided into deciduous broad-leaved forest, mountain valley forest, coniferous forest, riparian forest, afforestation and other vegetation. Including 55 communities of mountain forest vegetation and 4 communities of other vegetation, the total of 59 communities were researched; mountain forest vegetation classified by physiognomy classification are 28 communities deciduous broad-leaved forest, 12 communities of mountain valley forest, 3 communities of coniferous forests, 2 communities of riparian forest, 10 afforestation and 4 other vegetation. As for the distribution rate for surveyed main communities, Quercus mongolica and Quercus variabilis communities account for 65.928 percent of deciduous broad leaved forest, Fraxinus rhynchophylla - Quercus mongolica community takes up 41.459 percent of mountain valley forest, Pinus densiflora community holds 86.100 percent of mountain coniferous forest holds. In conclusion, minority species consisting of Quercus mongolica, Pinus densiflora, Quercus variabilis, Fraxinus rhynchophylla, and Quercus serrata are distributed as dominant species of the uppermost part in a forest vegetation region in Woraksan National Park. In addition, because of vegetation succession and climate factors, numerous colonies formed by the two species are expected to be replaced by Quercus mongolica, Quercus variabilis, and Fraxinus rhynchophylla which are climax species in the area.

Community Distribution on Mountain Forest Vegetation of the Youngbong Area in the Worak National Park, Korea (월악산국립공원 영봉 일대 삼림식생의 군락분포에 관한 연구)

  • Lee, Jung-Yun;Oh, Jang-Geun;Jang, In-Soo;Kim, Ha-Song
    • Korean Journal of Ecology and Environment
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    • v.48 no.1
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    • pp.51-60
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    • 2015
  • Forest vegetation of Youngbong (1,094 m) in Woraksan National Park is classified into mountain forest vegetation. Mountain forest vegetation is subdivided into deciduous broad-leaved forest, mountain valley forest, coniferous forest, riparian forest, afforestation and other vegetation. Including 84 communities of mountain forest vegetation and 7 communities of other vegetation, the total of 91 communities were researched; mountain forest vegetation classified by physiognomy classification are 39 communities deciduous broad-leaved forest, 26 communities of mountain valley forest, 6 communities of coniferous forests, 2 communities of riparian forests, 11 afforestation and 7 other vegetation. As for the distribution rate for surveyed main communities, Quercus mongolica, Quercus variabilis communities account for 40.879 percent of deciduous broad leaved forest, Fraxinus mandshurica - Cornus controversa community takes up 25.627 percent of mountain valley forest, Pinus densiflora community holds 75.618 percent of mountain coniferous forest holds. In conclusion, minority species consisting of Quercus mongolica, Pinus densiflora, Quercus variabilis, Fraxinus mandshurica, and Quercus serrata are distributed as dominant species of the uppermost part in a forest vegetation region in Woraksan National Park. In addition, because of vegetation succession and climate factors, numerous colonies formed by the two species are expected to be replaced by Quercus mongolica, Quercus variabilis and Fraxinus mandshurica which are climax species in the area.

Community Distribution on Mountain Forest Vegetation of the Geumsusan and Doraksan Area in the Worak National Park, Korea (월악산국립공원 금수산 및 도락산 일대 삼림식생의 군락분포에 관한 연구)

  • Lee, Jung-Yun;Oh, Jang-Geun;Jung, Se-Hoon;Kim, Ha-Song
    • Korean Journal of Ecology and Environment
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    • v.48 no.2
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    • pp.129-138
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    • 2015
  • Forest vegetation of Geumsusan (1,016.0 m) and Doraksan (964.4 m) in Woraksan National Park is classified into mountain forest vegetation. Mountain forest vegetation is subdivided into deciduous broad-leaved forest, mountain valley forest, coniferous forest, riparian forest, afforestation and other vegetation. Including 77 communities of mountain forest vegetation and 5 communities of other vegetation, the total of 82 communities were researched; mountain forest vegetation classified by physiognomy classification are 37 communities deciduous broad-leaved forest, 16 communities of mountain valley forest, 8 communities of coniferous forests, 1 community of riparian forest, 15 afforestation and 5 other vegetation. As for the distribution rate for surveyed main communities, Quercus variabilis and Quercus mongolica communities account for 33.031 percent of deciduous broadleaved forest, Cornus controversa community takes up 29.142 percent of mountain valley forest, Pinus densiflora community holds 64.477 percent of mountain coniferous forest holds. In conclusion, minority species consisting of Quercus variabilis, Quercus mongolica, Pinus densiflora, Quercus serrata and Cornus controversa are distributed as dominant species of the uppermost part in a forest vegetation region in Woraksan National Park. In addition, because of vegetation succession and climate factors, numerous colonies formed by the two species are expected to be replaced by Quercus variabilis, Quercus mongolica, Cornus controversa and Fraxinus mandshurica which are climax species in the area.

Korean Vegetation Types Using NOAA/AVHRR Data (인공위성(NOAA/AVHRR) 영상자과에 의한 한반도 식생분포에 관한 연구)

  • 김동실
    • Journal of the Korean Geographical Society
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    • v.35 no.1
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    • pp.39-51
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    • 2000
  • 본 연구는 원격탐사 기법을 이용하여 북한 지역을 포함한 한반도 전지역을 대상으로 식생활력도(vegetation activity)의 시계열적 변화를 모니터링하고, 식생지수의 연중변화 특성을 이용하여 한반도의 식생 분포도를 작성하는데 그 목적이 있다. 1997년 4월부터 11월까지 8개월 동안 NOAA-14 위성에서 수신된 AVHRR 자료를 수집하여 정규 식생지수(Nomalized Difference Vegetation Index)를 구하고 이들을 MVC(Maximum Value Composite) 방법으로 조합하여 월별 NDVI 합성도를 작성하여 식생활력도의 시계열 변화를 고찰하였다. 또한 식물의 생장시기인 5월부터 10월까지의 NDVI를 무감독 분류하여 한반도의 식생분포 유형을 도시.나대지가 4.49%, 초지 4.49%, 경작지 27.54%, 활엽수림 25.61%, 침엽수림 38.22%로 나타났다.

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제주산림지역내 고도별 ${\alpha}-pinene$${\beta}-pinene$의 분포특성

  • Kim, Hyeong-Cheol;Lee, Hye-Yeong;Heo, Cheol-Gu;Lee, Gi-Ho
    • Proceedings of the Korean Environmental Sciences Society Conference
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    • 2006.11a
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    • pp.133-135
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    • 2006
  • 산림 canopy 내 외에서 대기환경은 광화학적 반응 속도나 기상 요인들의 영향에 의해 다소 달라질 수 있기 때문에 이에 대한 연구로서 monoterpene의 대표 성분인 ${\alpha}-pinene$${\beta}-pinene$를 이용하여 산림 고도별 분포 특성을 조사하였다. 침엽수림과 활엽수림 모두에서 ${\alpha}-pinene$${\beta}-pinene$ 성분의 높이별 농도는 canopy영역보다 canopy아래 산림 내부에서 상대적으로 높게 측정되었으며, 고도별로 농도 차이가 있지만 고도에 관계없이 ${\alpha}-pinene$${\beta}-pinene$보다 $1.3{\sim}1.5$배정도 농도가 높았다.

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Developing the restoration method in forest fire damaged area using virtual GIS (Virtual GIS를 이용한 산불피해지 복원기법 개발기법)

  • 조명희;이명보;임주훈;김준범;김성재
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2004.03a
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    • pp.133-139
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    • 2004
  • 우리나라의 경우 1990년대에 들어와서 산불발생건수 및 피해지역이 지속적으로 증가하고 있으며 산불피해지 복원기술은 주로 사방복구와 조림 등 녹화기술에 집중되어 있는 실정이다. 본 연구에서는 동해안 산불피해지를 중심으로 산불특성, 임지환경을 고려한 내화수종의 선발 및 GIS 분석 기법을 적용하여 내화수림대를 조성하고 Virtual GIS의 활용을 통하여 공간정보자료가 산불피해지역 복원에 있어서의 경관생태학적 접근연구에 어떻게 활용될 수 있는 것인가에 대한 적용기법을 개발하고자 하였다. 본 연구에서는 GIS 분석기법을 적용하여 대형산불방지를 위한 산불 연소 특성을 고려한 내화수종을 GIS의 공간 분석을 이용하여 조성된 내화수림대에 적정 임분배치를 수행하였다. 아울러 연구 대상지의 나무 생장 모델을 이용하여 경년에 따른 산림경관을 조성하였으며 Virtual GIS를 활용하여 현실세계와 가장 유사한 3차원 지형을 구축하고 Tracking Simulation을 수행하였다.

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Application of Light Emitting Diodes (LEDs) Sensor to Monitor Multi-layer Canopy Phenology in Gwangneung Forest (LED 분광계를 활용한 광릉숲의 다층군락 생물계절 모니터링)

  • Lee, Galam;Ryu, Youngryel
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2013.11a
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    • pp.25-25
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    • 2013
  • 식생의 생물계절학적 특성은 지표면과 대기의 에너지와 물 순환에 큰 영향을 미친다. 일반적으로 상층군락과 하층군락의 식생은 미기후의 차이 등에 의해 서로 다른 생물계절학적 특성을 가진다. 이러한 식생의 생물계절학적 특성은 반사도 관측을 통해 추정할 수 있다. 과거부터 원격탐사 기법을 활용하여 식생의 생물계절학적 특성을 추정하는 많은 연구가 수행되어 왔다. 그러나 대부분의 연구는 상층군락과 하층군락의 반사특성을 구분하지 않았다. 본 연구에서는 상층군락과 하층군락 식생의 생물계절학적 특성을 구분하여 탐지하기 위해 red, green, blue 그리고 near-infrared 의 네 가지 파장대를 가진 LED 센서를 이용하였다. LED 센서는 광릉 시험림 내의 활엽수림과 침엽수림 관측지에 서로 다른 네 군데의 높이에 설치되어 각 파장대의 반사도를 산출하였다. 또한 반사도를 이용하여 세 가지 식생지수(NDVI, EVI, Greenness index)를 산출하여 상층식생과 하층식생의 개엽기를 추정하였다.

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Vegetation Structure of Warm Temperate Evergreen Forest at Ch'omch'alsan, Chimdo, Korea (진도 첨찰산 상록활엽수림의 식생구조)

  • Oh, Koo-Kyoon;Cho, Woo
    • Korean Journal of Environment and Ecology
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    • v.10 no.1
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    • pp.66-75
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    • 1996
  • To propose basic information for national resource management and planting disign, plant community structure of evergreen broad-leaved forest was investigated. Fifty-two plots(each size 300m$^{2}$) were set up at Ch'omch'alsan area of Chindo, Korea. TWINSPAN and DCA methods were used for classification and ordination analysis. Fifty-two plots were divided into seven groups, which were Quercus variabilis-Carpinus tschonoskii community, Q. glauca community, Castanepsis cuspidata var. sieboldii-Q. stenophylla community, Castanopsis cuspidata var. sieboldii-Camelia japonica community, Q. acuta-Camelia japonica community, Carpinus coreaca-Q spp. community, C. coreana community. Pinus densiflora almost have been selected. Carpinus tschomoskii, Q. variabillis and Q. serrata were to be succeeded by Castanea cuspidata var. sieboldii, Q. stenophylla, Q. acuta and Neolitsea sericea in canopy layer. And Neolitsea sericea, Q. glauca and Camellia japonica was showed high importance values in fertile soil condition. Future restoration plan was necessary for a tourist resort or national forest in warm temperate region. And evergreen broad-leaved plants shall be planted in considering of environmental condition at warm temperate and industrial complex area.

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Detection of Forest Fire and NBR Mis-classified Pixel Using Multi-temporal Sentinel-2A Images (다시기 Sentinel-2A 영상을 활용한 산불피해 변화탐지 및 NBR 오분류 픽셀 탐지)

  • Youn, Hyoungjin;Jeong, Jongchul
    • Korean Journal of Remote Sensing
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    • v.35 no.6_2
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    • pp.1107-1115
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    • 2019
  • Satellite data play a major role in supporting knowledge about forest fire by delivering rapid information to map areas damaged. This study, we used 7 Sentinel-2A images to detect change area in forests of Sokcho on April 4, 2019. The process of classify forest fire severity used 7 levels from Sentinel-2A dNBR(differenced Normalized Burn Ratio). In the process of classifying forest fire damage areas, the study selected three areas with high regrowth of vegetation level and conducted a detailed spatial analysis of the areas concerned. The results of dNBR analysis, regrowth of coniferous forest was greater than broad-leaf forest, but NDVI showed the lowest level of vegetation. This is the error of dNBR classification of dNBR. The results of dNBR time series, an area of forest fire damage decreased to a large extent between April 20th and May 3rd. This is an example of the regrowth by developing rare-plants and recovering broad-leaf plants vegetation. The results showed that change area was detected through the change detection of danage area by forest category and the classification errors of the coniferous forest were reached through the comparison of NDVI and dNBR. Therefore, the need to improve the precision Korean forest fire damage rating table accompanied by field investigations was suggested during the image classification process through dNBR.

Characteristics and Restoration Strategies of Warm-Temperate Forests Vegetation Types in Island Area on the Korean Peninsula (한반도 도서지역의 난온대림 식생유형 특징 및 복원전략)

  • Kang, Hyun-Mi;Kang, Ji-Woo;Sung, Chan-Yong;Park, Seok-Gon
    • Korean Journal of Environment and Ecology
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    • v.36 no.5
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    • pp.507-524
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    • 2022
  • In this study, we revealed the location environment and community structural characteristics after extensively investigating Korea's warm-temperate island areas and categorizing vegetation through TWINSPAN analysis. Based on it, this study aims to suggest the direction of the vegetation restoration plan for warm-temperate forests by deriving a restoration strategy for each vegetation type. The vegetation types were clearly divided into eight types, and communities I through IV were good evergreen broad-leaved forests dominated by Machilus thunbergii and Castanopsis sieboldii. On the other hand, communities V through VIII were Pinus thunbergii forest, deciduous broad-leaved forest, and artificial forest, and retrogressive succession vegetation in the warm-temperate areas. The environmental factors derived from the DCA analysis were altitude (average temperature of the coldest month) and distance from the coastline (salt tolerance). The distribution pattern of warm-temperate forests has been categorized into M. thunbergii, C. sieboldii and Cyclobalanopsis spp. forest types according to the two environmental factors. It is reasonable to apply the three vegetation types as restoration target vegetation considering the location environment of the restoration target site. In communities V through VIII, P. thunbergiiand deciduous broad-leaved formed a canopy layer, and evergreen broad-leaved species with strong seed expansion frequently appeared in the ground layer, raising the possibility of vegetation succession as evergreen broad-leaved forests. The devastated land where forests have disappeared in the island areas is narrow, but vegetation such as P. thunbergii and deciduous broad-leaved forests, which have become a retrogressive succession, forms a large area. The restoration strategy of renewing this area into evergreen, broad-leaved forests should be more effective in realizing carbon neutrality and promoting biodiversity.