• Title/Summary/Keyword: Research Forest

Search Result 7,267, Processing Time 0.036 seconds

Biomass Estimation of Phyllostachys pubescens Stands in KFRI, Southern Forest Research Center (맹종죽 시험림의 현존량 추정에 관한 연구)

  • Lee, Kwang Soo;Jung, Su Young;Son, Yeong Mo;Lee, Kyeong Hak;Bae, Eun Ji;Yun, Seok Lak
    • Journal of Korean Society of Forest Science
    • /
    • v.101 no.1
    • /
    • pp.138-147
    • /
    • 2012
  • For biomass estimation of Phyllostachys pubescens stands by optimal survey method we established 9 bamboo sample plots in the research forests of KFRI (Korea Forest Research Institute). The dry weight of culm segment determined by relative heights of total bamboo height show us two groups of 1st to 5th culm segment (up to 0~55% culm of tree height from the bottom area) and 6th to 8th culm segment (55~100%) by the results of cluster analysis for dry weight ratio. This results show that upper and lower part of 55~70% reference height from the bottom area against total culm height can be used in obtaining 1 kg of a sample bamboo, respectively, rather than 2.0 m stem segments of other forest tree species. In above-ground biomass estimation by $W=aD+bD^2$ having the highest coefficient of determination in this study, above ground stand biomass was 57.77 ton/ha (culm 40.47 ton/ha, branch 9.29 ton/ha, and leaf 8.01 ton/ha) of which 70% was contributed by culm component followed by branch (16%) and leaf (14%). Below-ground biomass was 53.35 ton/ha in total.

Distribution Characteristics of Woody Plants Resources in Jeiu, Korea (제주도 목본식물자원의 분포특성)

  • Kim, Chan-Soo;Son, Seok-Gu;Tho, Jae-Hwa;Kim, Ji-Eun;Hwang, Seok-In;Cheong, Jin-Hyun
    • Korean Journal of Plant Resources
    • /
    • v.20 no.5
    • /
    • pp.424-436
    • /
    • 2007
  • In this paper, it was discussed situations and necessities of conservation management strategy for the woody plants resources in Jeju Island. Out of 320 taxa of the woody plants distributed in Jeju, there were 62 families, 136 genus, 279 species, 28 varieties and 13 forma. Conifers, gymnosperms, were 3 families, 5 genus and 7 species as holding 2.2% of total woody plants. Broad leaves, angiosperms, were 59 families, 131 genus, 272 species, 28 varieties and 13 forma that were 313 taxa. Evergreens were 84 taxa consisting of 31 families, 45 genus, 72 species, 7 varieties and 5 forma that make up 26.8% out of total angiosperms. Deciduous were 229 taxa(73.2%) consisting of 42 families, 93 genus, 200 species, 21 varieties and 8 forma that were 122 trees(38.1%), 177 shrubs(55.1%) and 21 vine plants(6.8%). Life form spectra by dormancy, disseminule, radicoid and growth form were analysed. Thirty eight taxa including 17 families, 21 genus, 14 species and 16 varieties out of 320 taxa growing Jeju were endemic to Korea and 22 taxa of them were endemic to Jeju. The specific plant species among the woody plants in Jeju were 10 taxa in V grade, 24 taxa in IV grade and 53 taxa in III grade. These are correspondence to those of nations as 12% of V grade, 7.6% of IV grade and 17.2% of III grade.

Deep Learning-based Forest Fire Classification Evaluation for Application of CAS500-4 (농림위성 활용을 위한 산불 피해지 분류 딥러닝 알고리즘 평가)

  • Cha, Sungeun;Won, Myoungsoo;Jang, Keunchang;Kim, Kyoungmin;Kim, Wonkook;Baek, Seungil;Lim, Joongbin
    • Korean Journal of Remote Sensing
    • /
    • v.38 no.6_1
    • /
    • pp.1273-1283
    • /
    • 2022
  • Recently, forest fires have frequently occurred due to climate change, leading to human and property damage every year. The forest fire monitoring technique using remote sensing can obtain quick and large-scale information of fire-damaged areas. In this study, the Gangneung and Donghae forest fires that occurred in March 2022 were analyzed using the spectral band of Sentinel-2, the normalized difference vegetation index (NDVI), and the normalized difference water index (NDWI) to classify the affected areas of forest fires. The U-net based convolutional neural networks (CNNs) model was simulated for the fire-damaged areas. The accuracy of forest fire classification in Donghae and Gangneung classification was high at 97.3% (f1=0.486, IoU=0.946). The same model used in Donghae and Gangneung was applied to Uljin and Samcheok areas to get rid of the possibility of overfitting often happen in machine learning. As a result, the portion of overlap with the forest fire damage area reported by the National Institute of Forest Science (NIFoS) was 74.4%, confirming a high level of accuracy even considering the uncertainty of the model. This study suggests that it is possible to quantitatively evaluate the classification of forest fire-damaged area using a spectral band and indices similar to that of the Compact Advanced Satellite 500 (CAS500-4) in the Sentinel-2.

Productivity, Cost, and Optimal Forest Road Network Density of Tree-length Yarding Operations with Tower Yarder (타워야더를 이용한 전간집재작업의 생산성 및 비용과 적정 노망밀도 분석)

  • Kim, Min-Kyu;Baek, Seung-An;Cho, Koo-Hyun;Jung, Do-Hyun
    • Journal of Korean Society of Forest Science
    • /
    • v.106 no.3
    • /
    • pp.300-309
    • /
    • 2017
  • The productivity, cost, and optimal forest road network density for tree-length yarding with K301-4 and HAM300 tower yarders were analyzed. The results showed that productivity decreased as the yarding distance increased. The productivity of the K301-4 was greater than that of the HAM300 as the maximum yarding distance was longer than 34 m. This difference increased as the load volume increased. As the K301-4 yarder had a higher purchase price and it took more time to set up compared to the HAM300, the HAM300 was cost effective. Therefore, in oder to introduce tower yarders to reduce operational cost, it is effective to increase the load volume during operations and to utilize the road network repeatedly for a long period.

The Current Status of Forest Education in K-10 School Levels and Recommendations for the Future Innovative Approach (유치원과 초.중등학교 교과서 내 산림 교육 현황 및 개선 방안)

  • Lee, Jae-Young;Jeon, Jeong-Il;Chu, Hyung-Seon;Gwak, Jung-Nan;Cho, Kyoung-Jun;Park, Hyo-In;Cho, Chan-Hee;Parks, Jung-Soon;Hwang, Eun-Sil;Ryu, Mi
    • Hwankyungkyoyuk
    • /
    • v.23 no.1
    • /
    • pp.13-26
    • /
    • 2010
  • As an effort to realize the results of last two years of study, this study had three distinguished purposes: 1) confirming whether some requests for corrections had been accepted or not 2) making a list of possible errors found in newly written textbooks and asking to fix them, and 3) classifying forest related contents identified in the textbooks according to the 150 topics included in information material, so called Forest IQ 200. Among 94 errors associated trees, forest or forest education, only thirteen of them were found to be fixed according to the request made in previous study of 2008. Especially, most of the fixed errors were identified to be in natural and social science subject textbooks and nothing was found in art and language areas. Total of 1,320 forest related items were found in the textbooks at the level of kindergarten to 10th grade(freshman in highschool). Korean student was expect to have a chance to learn forest related items 1.64 times a week for 10 years(First to 10th grade). Analyzing 1,109 contents in terms of four topic areas of forest education, the forest culture area was found to have most content of 348 including painting and recreation. Some suggestions were made to make school forest education better, and publishing the forest textbook for elementary schools was one of them.

  • PDF

Carbon Stock Variation in Different Forest Types of Western Himalaya, Uttarakhand

  • Shahid, Mohommad;Joshi, Shambhu Prasad
    • Journal of Forest and Environmental Science
    • /
    • v.34 no.2
    • /
    • pp.145-152
    • /
    • 2018
  • Quantification of Carbon stock has become in the contest of changing climate and mitigation potential of forests. Two different forest types, Dry Shiwalik Sal Forest and Moist Shiwalik Sal Forest in Barkot and Lachchiwala of Doon Valley, Western Himalaya are selected for the study. Volume equations, destructive sampling and laboratory analysis are done to estimate the carbon stock in different carbon pools like trees, shrubs, herbs and soils. Considerable variations are observed in terms of carbon stocks in different forest types. In Dry Shiwalik Sal Forest, carbon stock density varied between 129.81 and $136.00MgCha^{-1}$ while in Moist Shiwalik Sal Forest, carbon stock density ranged from 222.29 to $271.67MgCha^{-1}$. Tree species like Shorea robusta, Syzigium cumini, Miliusa velutina, Acacia catechu, and Mallotus philippensis had significant role in carbon sequestration. Shorea robusta had contributed highest in carbon stock due to highest density. Total of 2,338,280.165 Mg carbon stock was estimated in all the forest types.