• Title/Summary/Keyword: Vegetation Density

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Prediction of Carbon Accumulation within Semi-Mangrove Ecosystems Using Remote Sensing and Artificial Intelligence Modeling in Jeju Island, South Korea (원격탐사와 인공지능 모델링을 활용한 제주도 지역의 준맹그로브 탄소 축적량 예측)

  • Cheolho Lee;Jongsung Lee;Chaebin Kim;Yeounsu Chu;Bora Lee
    • Ecology and Resilient Infrastructure
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    • v.10 no.4
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    • pp.161-170
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    • 2023
  • We attempted to estimate the carbon accumulation of Hibiscus hamabo and Paliurus ramosissimus, semimangroves native to Jeju Island, by remote sensing and to build an artificial intelligence model that predicts its spatial variation with climatic factors. The aboveground carbon accumulation of semi-mangroves was estimated from the aboveground biomass density (AGBD) provided by the Global Ecosystem Dynamics Investigation (GEDI) lidar upscaled using the normalized difference vegetation index (NDVI) extracted from Sentinel-2 images. In Jeju Island, carbon accumulation per unit area was 16.6 t C/ha for H. hamabo and 21.1 t C/ha for P. ramosissimus. Total carbon accumulation of semi-mangroves was estimated at 11.5 t C on the entire coast of Jeju Island. Random forest analysis was applied to predict carbon accumulation in semi-mangroves according to environmental factors. The deviation of aboveground biomass compared to the distribution area of semi-mangrove forests in Jeju Island was calculated to analyze spatial variation of biomass. The main environmental factors affecting this deviation were the precipitation of the wettest month, the maximum temperature of the warmest month, isothermality, and the mean temperature of the wettest quarter. The carbon accumulation of semi-mangroves predicted by random forest analysis in Jeju Island showed spatial variation in the range of 12.0 t C/ha - 27.6 t C/ha. The remote sensing estimation method and the artificial intelligence prediction method of carbon accumulation in this study can be used as basic data and techniques needed for the conservation and creation of mangroves as carbon sink on the Korean Peninsula.

Recreation Effects on Soil and Vegetation in the Kumo Mountain (금오산지역(金烏山地域)에서의 레크리이션행위(行爲)가 토양(土壤) 및 식생(植生)에 미치는 영향(影響))

  • Lee, Kyong Jae;Ahn, Joon Soo
    • Journal of Korean Society of Forest Science
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    • v.74 no.1
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    • pp.37-46
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    • 1986
  • To study the changes of soil and vegetational composition of Pinus densiflora community by campsite impact of its users, located in Kumo Mountain Provincial Park, the South part of Korea, three sites were selected according to the density of users. The heavy-use sites in this study has changed in the following ways. (1) The concentration of total nitrogen, available phosphate and Ca ion have decreased greatly. (2) From 68 to 73 percent of the undergrowth vegetation has been removed from the $2.000m^2$ camp area, leaving a sparse vegetation cover quite dissimilar in composition to nonuse campsite. (3) The soil hardness was $38.9kg/cm^2$ in heavyuse site and $1.76kg/cm^2$ in nonuse site. (4) The tolerant trees to campsite impact is Acer palmatum, Stephanandra incisa, Rhus trichocarpa, Rubus crataegifolitus and Parthenocissus tricuspidata. (5) Species diversity decreased to a degree at the heavy-use site. Similarity index was 25.38% between the heavy-use and nonuse site.

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Survey on distribution and vegetation environment of Tricholoma matsutake in Kyonggi province, Korea (경기도지역 송이버섯 분포 및 식생환경조사)

  • Ha, Tai-Moon;Kim, Young-Ho;Chi, Jeong-Hyun;Ju, Young-Cheuol;Kim, Hee-Dong;Sung, Jae-Mo
    • Journal of Mushroom
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    • v.2 no.4
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    • pp.175-183
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    • 2004
  • We carried out survey of a pine mushroom picking district and its vegetation environment for increase and maintainment of its production in Kyonggi province. The district which we could pick up pine mushroom among the nineteen surveyed district were sixteen such as Geoleun ri Gangcheon myeon Yeoju gun Kyonggi do, etc. and total yields were 470~600 kg in Kyonggi province. The temperature of atmosphere and earth in Yeoju and Bonghwa were droped to $19^{\circ}C$ at 5~7th september and maintained from $12^{\circ}C{\sim}18^{\circ}C$ during the a pine mushroom picking period. The density of a pine tree per $100m^2$ was 5.1~27.1 trees, the years of it was 15~50years old and height was 4~11 meter. The pine tree in a pine mushroom picking district was competed with oak trees, azaleas, lacquers, etc. The depth of organic materials accumulated on the pine mushroom mycelium layer was 4.5 cm in Yeoju. The soil texture of a pine mushroom picking district was almost sandy, soil pH was 4.3~5.1 and organic material content was 3.91~8.28%.

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Accuracy Assessment of Unsupervised Change Detection Using Automated Threshold Selection Algorithms and KOMPSAT-3A (자동 임계값 추출 알고리즘과 KOMPSAT-3A를 활용한 무감독 변화탐지의 정확도 평가)

  • Lee, Seung-Min;Jeong, Jong-Chul
    • Korean Journal of Remote Sensing
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    • v.36 no.5_2
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    • pp.975-988
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    • 2020
  • Change detection is the process of identifying changes by observing the multi-temporal images at different times, and it is an important technique in remote sensing using satellite images. Among the change detection methods, the unsupervised change detection technique has the advantage of extracting rapidly the change area as a binary image. However, it is difficult to understand the changing pattern of land cover in binary images. This study used grid points generated from seamless digital map to evaluate the satellite image change detection results. The land cover change results were extracted using multi-temporal KOMPSAT-3A (K3A) data taken by Gimje Free Trade Zone and change detection algorithm used Spectral Angle Mapper (SAM). Change detection results were presented as binary images using the methods Otsu, Kittler, Kapur, and Tsai among the automated threshold selection algorithms. To consider the seasonal change of vegetation in the change detection process, we used the threshold of Differenced Normalized Difference Vegetation Index (dNDVI) through the probability density function. The experimental results showed the accuracy of the Otsu and Kapur was the highest at 58.16%, and the accuracy improved to 85.47% when the seasonal effects were removed through dNDVI. The algorithm generated based on this research is considered to be an effective method for accuracy assessment and identifying changes pattern when applied to unsupervised change detection.

A Comparison of Vegetation in Complementary Forests of Villages between Korea and China - Focused on Jinan in Korea and Qingzhou in China - (한국과 중국의 마을비보숲 식생 비교 - 한국(韓國) 진안(鎭安)과 중국(中國) 청주(靑州)를 사례로 -)

  • Park, Jae Chul;Gwan, Dan Dan;Jung, Kyoung Sook
    • Journal of the Korean Institute of Landscape Architecture
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    • v.41 no.6
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    • pp.199-208
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    • 2013
  • The purpose of this study is to compare the vegetation structure in complementary forests of villages between Korea and China. For this study, Jinan in Korea and Qingzhou in China were selected through a pre-survey about the representative regions of both countries. The main research method used was field study. A comparative analysis between the two regions was performed by a frequency analysis of the surveyed data. The data obtained in the study shows the vegetation structure in complementary forests of villages in the two regions have many differences which are related to the local culture. As a result, it was identified that the average number of species was the same at 2.9 and the average number of trees, total number of trees, and tree density in Qingzhou were considerably greater than those in Jinan. Also, it was identified that tree height, average breadth height diameter and crown width in Jinan were considerably greater than those in Qingzhou. Furthermore, it was identified that both the forest state and the principal species of tree are both very different according to the different cultures. Through this identification, it is considered that this study will be helpful in establishing policy direction in both countries about the restoration and management of complementary forests.

Classification of Micro-Landform on the Alluvial Plain Using Landsat TM Image: The Case of the Kum-ho River Basin Area (Landsat TM 영상(映像)을 이용한 충적평가(沖積平野) 미지형(微地形) 분류(分類) -금호강(琴湖江) 유역평야(流域平野)를 대상으로-)

  • Jo, Myung-Hee;Jo, Wha-Ryong
    • Journal of the Korean association of regional geographers
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    • v.2 no.2
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    • pp.197-204
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    • 1996
  • We attempt to classifing method of micro-landform on the alluvial plain, such as natural-levee, backmarsh and alluvial fan, using false color composite of Landsat Thematic Mapper image. The study area is Kumho River Basin on the southeastern part of Korea peninsula. The most effective image for micro-landform classification is the false color composite of band 2, 3 and 4 with blue, green and red filtering. The most favorable time is the middle third of November, because of the density differentiation of green vegetation in most great. In this time the paddy field on the back-marsh is bare by rice harvesting. But on the natural levee the green vegetation, such as vegetables and lower herbs under fruit tree, remain relatively more. On the alluvial fan, the green vegetation condition is medium. For the verification of the micro-landform classification, we employed the field survey and grain size analysis of the deposition of each micro-landform on the sample area. It is clarified that the classification method of micro-landform on the alluvial plain using the Landsat TM image is relatively useful.

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Habitat Environment and Vegetation Structure of Forest Communities Growing Schisandra nigra Maxim. in Cheju Island of Korea (흑오미자 자생 임분의 입지환경과 식생구조)

  • Lee Kab-Yeon;Kim Sea-Hyun;Kim Pan-Gi;Shin Chang-Ho;Han Sang-Sup
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.1 no.2
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    • pp.81-89
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    • 1999
  • To propose basic information for natural resource management and conservation strategy of Schisan-dra nigra Maxim., its habitat environment and vegetation structure of forest communities growing the species was investigated. Fourteen plots (each plot size 400 $m^2$) were set up at the distributed area of Cheju island, southern part of Korea. S. nigra is the economic useful species that scatteringly grows at 850~920 m in the western part, at 660~710 m in the northern part and at 750~1,250 m in the southern part of Mt. Halla. The community of S. nigra in Mt. Halla is the mixed secondary forest of pine and broad leaved trees that are mainly composed of Pinus densif1ora, Quercus serrata, Styrax japonica, Lin-dera erythrocarpa and Carpinus laxiflora. The density in a main distribution sector of S. nigra appears in the range of 3~39 individuals per each 20$\times$20 m plot. The distribution patterns by Morisita's Index showed that S. nigra was distributed randomly in all of the stands. The association analysis showed that the following tree species were positively associated with S. nigra. In other words, the following trees were appeared to require the same ecological niche together with S. nigra: Lindera erythrocarpa, Cornus waltri, Acer mono, and Styrax japonica.

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A Comparative Study on the Structure of Forest Vegetation at the Southern and Northern Slopes of Mt. Kum in Namhae (금산(錦山)의 남북사면(南北斜面)에 따른 삼림식생(森林植生) 구조(構造))

  • Shin, Hyeon Cheol;Lee, Kang Young
    • Journal of Korean Society of Forest Science
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    • v.79 no.3
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    • pp.245-254
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    • 1990
  • This study was carried out to analysis the structure of forest vegetation at the southern and northern slopes of Mt. Kum in Namhae. The results obtained were summarized as follows : The upper layer of south slope at the altitude of 100m was only distributed at Pinus thunbergii and Pinus densiflora. According to increase of altitude, the importance value of Pinus thunbergii was more decreased. In the upper layer of north slope, importance value of Pinus thunbergii was very high in the altitude of 100m, and was very low in the 200m. And also, importance value of Quercus variabilis and Steuortia koreana was high from 200m to 600m. The number of individuals of Pinus thunbergii and Pinus densiflora in the south slope were more increased than those of the north slope. The distributional class of D.B.H, showed an equal tendency in south and north slope, especially-Quercus variabilis and Quercus serrata had a good growth in north slope. The stand density in the upper lacer was high in south slope but mean acreage and mean distance of individual trees showed low. The species diversity indices were relatively lower in south slope than in north slope, and the maximum of species diversity showed slightly high in south slope. The evenness showed lower in south slope than in north slope relatively. By the cluster analysis used the similarity.

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Initial Development of Forest Structure and Understory Vegetation after Clear-cut in Pinus densiflora Forest in Southern Gangwon-do Province (강원도 남부 지역에서 소나무림 개벌 후 초기 임분 구조 및 하층식생 발달)

  • Bae, Kwan Ho;Kim, Jun Soo;Lee, Change Seok;Cho, Hyun Je;Lee, Ho Young;Cho, Yong Chan
    • Journal of Korean Society of Forest Science
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    • v.103 no.1
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    • pp.23-29
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    • 2014
  • Open- to closed canopy stage and it's ecological characteristics in vegetation succession are commonly described, but poorly understood in Korea. Vegetation development on structure, environment and understory abundance were studied for 16 yr in post-clearcut Pinus densiflora forests in the southern Gangwon-do province by applying space-for-time approach. We sampled 210 plots (10 for structure and 200 for understory) for four seral stages (1yr, 3yr, 10yr and 16yr). After clear-cut, mean stem density increased gradually to $5,714{\pm}645$ stems/ha after 16 years and mean basal area was also from $5.5{\pm}0.7m^2/ha$ after 10 years and doubled at $10.0{\pm}1.6m^2/ha$ in 16 years. Woody debris and bared soil on the forest floor peaked at 11--- after 10 years and at 10.3--- after 3 years, respectively. In understory mean cover declined with all growth form groups following succession, but in richness, forb specie increased with structural development during 16 years. Our study suggested that overstory development did not suppressed whole understory properties especially in richness, thus appeared to act as a filter selectively constraining the understory characteristics. However only long-term studies are essential for elucidating patterns and processes that cannot be inferred form short-term or space-for-time researches. Strong negative relationship between overstory and understory characteristics in conventional models surely reexamined.

Carbon Storage and Absorption of Trees in the Ecological Restoration Area and Vegetation Conservation Area of Bulamsan Urban Nature Park (불암산 도시자연공원 생태복원지와 식생보전지 수목의 탄소저장량 및 흡수량)

  • Yang, Keum Chul;Kim, Jeong Seob
    • Ecology and Resilient Infrastructure
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    • v.7 no.4
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    • pp.284-293
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    • 2020
  • We present a quantitative survey of the carbon storage and absorption capacity of tree species in the vegetation conservation and ecological restoration areas of Bulamsan urban nature park in Nowon-gu, Seoul. The density of the sawtooth oak (Quercus acutissima) community in the ecological conservation area is approximately 30 individuals/225 ㎡, while a further 20 species, such as Japanese snowbell (Styrax obassia), galcham oak (Quercus aliena), Asian Sweetleaf (Symplocos chinensis f. pilosa), East Asian ash (Fraxinus rhynchophylla), and Korean rhododendron (Rhododendron mucronulatum) are sparsely distributed. In contrast, the ecological restoration sites typically comprised Mongolian oak (Quercus mongolica), jolcham oak (Quercus serrata), and East Asian ash (Fraxinus rhynchophylla) plantations, with planting densities of 8.3, 7.7, and 14.3 individuals/25 ㎡ , respectively. Approximately 10 species, including Amur maple (Acer tataricum subsp. ginnala), Korean mountain ash (Sorbus alnifolia), Japanese spice bush (Lindera obtusiloba), and Korean rhododendron (Rhododendron mucronulatum) were identified in the ecologically restored area. The total amounts of carbon stored by the trees in the vegetation conservation and ecological restoration sites are 250.77 and 19.3 t C ha-1, respectively, and the total annual carbon uptakes are 10.28 and 2.33 t C ha-1 yr-1, respectively. The survey results are expected to provide important basic data for monitoring the carbon absorption capacity and carbon balance of green areas in the city.