• Title/Summary/Keyword: 산림 환경 구조

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Growing Environment Characteristics and Vegetation Structure of Lonicera harae, Medicinal Plant (약용식물 길마가지나무 자생지의 생육환경특성과 식생구조)

  • Son, Yonghwan;Park, Sunghyuk;Jeong, Daehui;Cho, Hyejung;Son, Hojun;Jeon, Kwonseok
    • Korean Journal of Plant Resources
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    • v.34 no.4
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    • pp.297-310
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    • 2021
  • Lonicera harae is a species of shrub in the Caprifoliaceae family, mostly distributed in East asia. So far, the related research on the genus of Lonicera is insufficient compared to the Lonicera japonica belonging to the same genus, which requires attention to domestic native plants. Therefore, this study aims to provide baseline data for cultivation and utilization through the growth environment and vegetation structure of the natural habitat. Lonicera harae, which plant found throughout the Korean Peninsula. The natural habitats of Lonicera harae is the forest, valley and lowland areas of the southern region. study examined 24 quadrats in 11 regions, including Gwangju, Wanju and Namhae. As a result, environmental condition of Lonicera harae was 8 to 483 m above sea level, normally distributed over 173 m, Slope was 5 to 25 degree with 8.5 degree on average. The list of plants were classified as a total of 229 taxa comprising 80 families, 166 genus, 198 species, 3 subspecies, 24 varieties, 4 forma. As a result of the clustering analysis, the three clusters were divided into three groups; Robinia pseudoacacia, Zelkova serrata, Larix kaempferi. Species diversity was 1.399 and Dominance and Evenness were found to be 0.978 and 0.022 respectively.

Analysis of the Forest Community Structure in the Woraksan National Park - Case Study of Yeongbong and Doraksan Region - (월악산국립공원의 산림군집구조 - 영봉 및 도락산 일원을 중심으로 -)

  • Oh Koo-Kyoon;Choi Song-Hyun;Kim Sung-Hyun;Choi Woo-Kyong
    • Korean Journal of Environment and Ecology
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    • v.19 no.2
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    • pp.90-98
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    • 2005
  • To investigate the vegetation structure of the Woraksan National Park, twenty-two plots were set up and surveyed. According to the analysis of classification by TWINSP AN, the communities were divided by six groups; Pinus densiflora-Quercus serrata, Q. mongolica-Q. serrata, Q. mongolica-Betula davueica, P. densiflora-Q. mongolica, Q. mongolica, Q. mongolica-Acer pseudosieboldianum. Successional sere of the forest vegetation in the surveyed area were proeeding from Pinus densiflora to Quercus serrata, Quercus monogolica in the canopy layer group and from Rhododendron Rhododendron schlippenbachii to Fraxinus sieboldiana and Acer pseudosieboldianum in the understory layer group. But Q. mongolica might be edaphic climax species in some area.

Classification of Forest Vertical Structure Using Machine Learning Analysis (머신러닝 기법을 이용한 산림의 층위구조 분류)

  • Kwon, Soo-Kyung;Lee, Yong-Suk;Kim, Dae-Seong;Jung, Hyung-Sup
    • Korean Journal of Remote Sensing
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    • v.35 no.2
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    • pp.229-239
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    • 2019
  • All vegetation colonies have layered structure. This layer is called 'forest vertical structure.' Nowadays it is considered as an important indicator to estimate forest's vital condition, diversity and environmental effect of forest. So forest vertical structure should be surveyed. However, vertical structure is a kind of inner structure, so forest surveys are generally conducted through field surveys, a traditional forest inventory method which costs plenty of time and budget. Therefore, in this study, we propose a useful method to classify the vertical structure of forests using remote sensing aerial photographs and machine learning capable of mass data mining in order to reduce time and budget for forest vertical structure investigation. We classified it as SVM (Support Vector Machine) using RGB airborne photos and LiDAR (Light Detection and Ranging) DSM (Digital Surface Model) DTM (Digital Terrain Model). Accuracy based on pixel count is 66.22% when compared to field survey results. It is concluded that classification accuracy of layer classification is relatively high for single-layer and multi-layer classification, but it was concluded that it is difficult in multi-layer classification. The results of this study are expected to further develop the field of machine learning research on vegetation structure by collecting various vegetation data and image data in the future.

Vegetation Change and Growing Characteristics of Abies koreana Population by Altitude in Georim Valley of Mt. Jiri (지리산 거림계곡 구상나무 개체군의 고도별 식생변화와 생장특성)

  • Kim, Chang-Hwan;Jo, Min-Gi;Kim, Jong-Kab;Choi, Myung-Suk;Chung, Jae-Min;Kim, Ji-Hong;Moon, Hyun-Shik
    • Journal of agriculture & life science
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    • v.46 no.1
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    • pp.63-70
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    • 2012
  • To provide the basic information for preservation and reasonable management plan of Abies koreana population, vegetation structure and growing condition by altitude were analyzed. Six sites($400m^2$) were set up along the Georim valley in Mt. Jiri from 1,000m to 1,500m. The importance value of A. koreana in tree layer was the highest at 1,400m(site V) and 1,500m(site VI), and that of Quercus mongolica in the other site was high. In subtree layer, the importance value of A. koreana was the highest at site VI which located at 1,500m above the level of the sea. In DBH distribution, A. koreana population distributed evenly at all DBH class(below 10cm, 11-20cm, 21-30cm, above 31cm). Since 2000, the amount of tree-ring growth of A. koreana at site I, II, III, IV, V, and VI were 1.002, 0.996, 1.752, 1.850, 1.198, 0.984 mm/yr, which has decreased slowly in time for 2000, except site III.

An Analysis of Vegetation Structure and Vegetation-Environment Relationships with DCCA in Forest Community of Ullung Island (울릉도 산림군락의 구조 및 DCCA에 의한 식생과 환경과의 상관관계 분석)

  • 송호경
    • Korean Journal of Environment and Ecology
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    • v.14 no.2
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    • pp.111-118
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    • 2000
  • 본연구는 울릉도의 성인봉과 태하령 지역의 산림 식생을 대상으로 199년 7-8월에 식생조사와 토양조사에 의한 너도밤나무 군락의 임분구조 및 DCCA ordination을 이용하여 분석한 결과는 다음과 같다. 1. 울릉도 산림의 중요치를 각 군락별로 살펴보면 너도밤나무-섬조릿대 군락에서 중요치가 높은 종은 너도밤나무, 우산고로쇠, 마가목, 섬단풍, 섬벚나무 등의 순으로 너도 밤나무-일색고사리 군락은 우산고로쇠 너도밤나무, 마가목 층층나무, 등수국 등의 순으로 나타났다 그리고 너도밤나무-큰두루미꽃 군락에서 중요치가 높은 종은 너도밤나무 우산고로쇠 등수국 마가목 음나무등의 순으로 솔송나무-섬잣나무 군락은 섬잣나무, 너도밤나무, 솔송나무, 회솔나무, 섬피나무 등의 순으로 나타났다. 2. DCCA ordination에 의하면 산림군락과 환경요인과의 상관관계는 다음과 같다 너도밤나무-섬조릿대 군락은 해발고가 높고 네 군락 중 토양수분이나 전절소 유기물 등이 많은 지역에 분포하고 있었다. 너도밤나무-일색고사리 군락은 해발고가 다른 군집보다 높고 토양수분이나 전질소, 유기물 등이 많아 너도밤나무-섬조릿대 군락과 매우 유사한 입지환경을 가진 지역이나 토성 중 clay 가 많이 함유된 지역에 분포하고 있었다. 너도밤나무-큰두루미꽃 군락은 해발고가 네 군락 중 중간지역에 분포하고 있으며 토양수분이나 유기물, 전질소 등도 중간인 지역에 분포하고 있었다. 솔송나무-섬잣나무 군락은 해발고가 낮고 토양수분이나 전질소, 유기물이 적고 sand가 많이 함유된 토양에 분포하고 있었다. 3. 울릉도 산림군락으 Shannon의 종다양도 지수는 0.5455~0.8801으로 비교적 낮은 수치를 나타내고 있다. 또한 너도밤나무 군락에서 분포하고 있는 주요 종의 조서열 중요치 곡선을 보면 전체의 기울기가 완만하여 너도밤나무 군락은 안정적이라 할 수 있다.단 생산성 향상을 위한 세포의 고농도 배양에는 조사한 여러 배양 시스템 중에 가장 효율적인 시스템임올 알 수 있었다 하지만 이 시스템 에서 포도당을 낮은 level로 유지할 수 있었으나, 초산의 과도한 축적으로 항체 생산성의 향상은 예상에 비해 크지 않았다. 81%), C18 0(12.38%), C18: 1(25.93%), C22:6(9.95%)이며 결합지방질(結合脂肪質)은 C14 : 0(11.60%), C16 : 0(18.94%), C16: 1(10.42%). C18 : 1(10.89%), C22 : 6(23.44%)이었다. 총필수지방산(總必須脂肪酸) 함량(含量)은 극성지방질(極成脂肪質)$(20.14{\sim}31.12%)$이 비극성지방질(非極成脂肪質)$(6.97{\sim}11.13%)$보다 훨씬 높았고, 결합지방질(結合脂肪質)이 유리지방질(遊離脂肪質)보다 높았으며 부위별(部位別)로는 피부(皮部)$(15.18{\sim}15.41%)$가 육질부(肉質部)$(6.97{\sim}11.13%)$보다 높았다. 또${\omega}3$고도부포화지방산(高度不飽和脂肪酸) 함량(含量)은 육질부(肉質部)$(15.15{\sim}28.32%)$가 피부(皮部)$(6.77{\sim}18.18%)$나 내장부(內臟部)$(8.35{\sim}9.74%)$보다 높았으며, 육질부(肉質部)에서는 극성지방질(極成脂肪質)$(26.28{\sim}34.18%)$이 비극성지방질(非極成脂肪質)$(15.15{\sim}28.32%)$보다 높았다.veral world-wide prediction models. Based on the analysis, we can easilty know

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Vegetation Structure of the Songinbong Virgin Forest(Natural Monument) in Ullungdo, Korea (울릉도 성인봉 원시림의 산림군집구조)

  • 한봉호;김동완;조현서
    • Korean Journal of Environment and Ecology
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    • v.12 no.2
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    • pp.138-146
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    • 1998
  • Ten plots were established to study the vegetation structure of the Songinbong virgin forest in Ullungdo. It was classified into three communities Fagus crenata var. multinervis commnunity, Acer okamotoanum-Fagus crenata var. multinervis community, and Acer okamotoanum community. Shannon's diversity indicies of this area were not high(0.5150~0.8437), due to the geographical and vegetational characteristics. Considering the community structure(importance value, distribution of DBH class, and so on), the vegetation of the Songinbong virgin forest are thought to be stable continuously. With the analysis of plant growth type, it was presumed that Acer okamotoanum have increased after artificial disturbances in this area where Fagus crenata var. multinervis had been dominanat.

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Vegetation Structure of the Dogabsa Valley in the Weolchulsan National Park (월출산국립공원 도갑사계곡의 식생구조)

  • Choi Song-Hyun;Cho Hyun-Seo
    • Korean Journal of Environment and Ecology
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    • v.20 no.2
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    • pp.94-102
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    • 2006
  • To investigate the forest structure and to suggest basic data of forest in the Dogabsa Valley area of the Weolchulsan National Park, thirty plots, each size is $100m^2$, were set up and surveyed. According to the analysis of classification by TWINSPAN, the community was divided by five groups of Quercus variabilis-Carpinus tschonoskii(I), Pinus densiflora(II), Q. variabilis-P. densiflora(III), Q. variabilis(IV) and Q. aliena-Styrax japonicus community(V). The results of vegetation structure analysis, the forest of Dogabsa Valley area is a transition area of southern part of temperate forest and warm temperate forest zone. The forest is about 40-50-year-old.