• Title/Summary/Keyword: TREE MANAGEMENT

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Investigating the Global Financial Markets from a Social Network Analysis Perspective (소셜네트워크분석 접근법을 활용한 글로벌 금융시장 네트워크 분석)

  • Kim, Dae-Sik;Kwahk, Kee-Young
    • Journal of the Korean Operations Research and Management Science Society
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    • v.38 no.4
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    • pp.11-33
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    • 2013
  • We analyzed the structures and properties of the global financial market networks using social network analysis approach. The Minimum Spanning Tree (MST) lengths and networks of the global financial markets based on the correlation coefficients have been analyzed. Firstly, similar to the previous studies on the global stock indices using MST length, the diversification effects in the global multi-asset portfolio can disappear during the crisis as the correlations among the asset class and within the asset class increase due to the system risks. Second, through the network visualization, we found the clustering of the asset class in the global financial markets network, which confirms the possible diversification effect in the global multi-asset portfolio. Meanwhile, we found the changes in the structure of the network during the crisis. For the last one, in terms of the degree centrality, the stock indices were the most influential to other assets in the global financial markets network, while in terms of the betweenness centrality, Gold, Silver and AUD. In the practical perspective, we propose the methods such as MST length and network visualization to monitor the change of the correlation risk for the risk management of the multi-asset portfolio.

Assessment of REDD+ Suitable Area for Sustainable Forest Management in Paraguay

  • Park, Jeongmook;Lee, Yongkyu;Lim, Byeongmin;Lee, Jungsoo
    • Journal of Forest and Environmental Science
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    • v.36 no.3
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    • pp.187-198
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    • 2020
  • This study extracted deforestation area and degraded forestland area, which are potential REDD+ (Reducing Emissions from Deforestation and Forest Degradation) project candidate areas in Paraguay using Land Cover Map (LCM) and Tree Cover Map (TCM). The REDD+ project objectives scenarios were set three stages: 'afforestation and economic efficiency scenario', 'local capacity reinforcement scenario', and 'Infrastructure-oriented scenario'. And then, we evaluated the project unit suitable area of the REDD+ project. All scenarios selected the evaluation factors for each scenario in addition to the area ratio factors for deforestation area and degraded forestland area and weighted values were extracted by assigning category scores. As a result of the three scenarios comparison analysis, Concepcion state score was the highest. Within Concepcion state, the Belon district had the highest score, making it appropriate as a project unit REDD+ project candidate area in Paraguay, while the San Carlos district had the lowest score. This study can be used as basic data for selecting REDD+ project candidate area in Paraguay, and it is expected to contribute sufficiently to REDD+ project if additional data or information of social, cultural and economic sectors are secured.

Tree species migration to north and expansion in their habitat under future climate: an analysis of eight tree species Khyber Pakhtunkhwa, Pakistan

  • Muhammad Abdullah Durrani;Rohma Raza;Muhammad Shakil;Shakeel Sabir;Muhammad Danish
    • Journal of Ecology and Environment
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    • v.48 no.1
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    • pp.96-109
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    • 2024
  • Background: Khyber Pakhtunkhwa government initiated the Billion Tree Tsunami Afforestation Project including regeneration and afforestation approaches. An effort was made to assess the distribution characteristics of afforested species under present and future climatic scenarios using ecological niche modelling. For sustainable forest management, landscape ecology can play a significant role. A significant change in the potential distribution of tree species is expected globally with changing climate. Ecological niche modeling provides the valuable information about the current and future distribution of species that can play crucial role in deciding the potential sites for afforestation which can be used by government institutes for afforestation programs. In this context, the potential distribution of 8 tree species, Cedrus deodara, Dalbergia sissoo, Juglans regia, Pinus wallichiana, Eucalyptus camaldulensis, Senegalia modesta, Populus ciliata, and Vachellia nilotica was modeled. Results: Maxent species distribution model was used to predict current and future distribution of tree species using bioclimatic variables along with soil type and elevation. Future climate scenarios, shared socio-economic pathways (SSP)2-4.5 and SSP5-8.5 were considered for the years 2041-2060 and 2081-2100. The model predicted high risk of decreasing potential distribution under SSP2-4.5 and SSP5-8.5 climate change scenarios for years 2041-2060 and 2081-2100, respectively. Recent afforestation conservation sites of these 8 tree species do not fall within their predicted potential habitat for SSP2-4.5 and SSP5-8.5 climate scenarios. Conclusions: Each tree species responded independently in terms of its potential habitat to future climatic conditions. Cedrus deodara and P. ciliata are predicted to migrate to higher altitude towards north in present and future climate scenarios. Habitat of D. sissoo, P. wallichiana, J. regia, and V. nilotica is practiced to be declined in future climate scenarios. Eucalyptus camaldulensis is expected to be expanded its suitability area in future with eastward shift. Senegalia modesta habitat increased in the middle of the century but decreased afterwards in later half of the century. The changing and shifting forests create challenges for sustainable landscapes. Therefore, the study is an attempt to provide management tools for monitoring the climate change-driven shifting of forest landscapes.

A Study on the Link Server Development Using B-Tree Structure in the Big Data Environment (빅데이터 환경에서의 B-tree 구조 기반 링크정보 관리서버의 개발)

  • Park, Sungbum;Hwang, Jong Sung;Lee, Sangwon
    • Journal of Internet Computing and Services
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    • v.16 no.1
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    • pp.75-82
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    • 2015
  • Major corporations and portals have implemented a link server that connects Content Management Systems (CMS) to the physical address of content in a database (DB) to support efficient content use in web-based environments. In particular, a link server automatically connects the physical address of content in a DB to the content URL shown through a web browser screen, and re-connects the URL and the physical address when either is modified. In recent years, the number of users of digital content over the web has increased significantly because of the advent of the Big Data environment, which has also increased the number of link validity checks that should be performed in a CMS and a link server. If the link validity check is performed through an existing URL-based sequential method instead of petabyte or even etabyte environments, the identification rate of dead links decreases because of the degradation of validity check performance; moreover, frequent link checks add a large amount of workload to the DB. Hence, this study is aimed at providing a link server that can recognize URL link deletion or addition through analysis on the B-tree-based Information Identifier count per interval based on a large amount of URLs in order to resolve the existing problems. Through this study, the dead link check that is faster and adds lower loads than the existing method can be performed.

A Study on the Analysis of the Physiological Growth Condition and Improvement of Street Trees in Seoul (서울시 가로수 생육환경분석 및 개선에 관한 연구)

  • 한봉호;이경재
    • Korean Journal of Environment and Ecology
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    • v.10 no.1
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    • pp.39-48
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    • 1996
  • The planting pattern of Seoul street tree could be divided into six patterns, that was, one row, double row, median strip type and bicycle road type. The protection facilities of installed street tree was inadequate, because it was so small and weak. Recently, the growth rate of street tree in Seoul was decreasing because of air pollution. Strong alkali soil proved to be inappropriate for the growth of street tree. Soil hardness of treepit equipped with treegrill was lower than unequipped one. From the analysis of correlation between the growth environments of street tree, we could conclude that the vitality of street tree are proportioned to the distance from the center of Seoul. The way of improvement for physiological growth and increase of street tree were as follows; establishment reform of street facilities, the installation of protection equipment, continuous and systematic management.

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Development of Mobile Alarm System using Message Tree for Personal Information Management (개인정보관리를 위한 메시지 트리 기반의 모바일 알람 시스템 구축)

  • Jang, Eun-Young;Kim, Hyung-Jong;Hwang, Jun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.19 no.3
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    • pp.153-162
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    • 2009
  • When a private information security incident occurs, the people who own the information are not acknowledged about their information leakage until those affairs appear in public media. This research aims at developing a mobile alarm system for acknowledging suspicious events to the information owners. The mobile alarm system was designed considering the limited user interface of mobile terminal and concept of "personal information leakage message tree" is deployed. The message tree contains every possible situation about personal information leakage and the leaves of the tree has several choices that the information owner can select. This message tree concept enables each information owner to manager his or her information leakage situation by just pushing a few buttons of mobile device. The contribution of this paper is in design of a comprehensive alarm message tree and development of mobile alarm system containing the message tree concept.

Establishment of Roadside Tree Planting System in Kangnung (가로수 식재체계 수립)

  • 박용진;김태경
    • Journal of the Korean Institute of Landscape Architecture
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    • v.28 no.5
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    • pp.93-103
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    • 2000
  • This research is to propose a rational criterion of the selection and the management f the roadside trees, and to establish the planting design and system with the objective of improving the roadside environment. All of the roadside trees in each objective courses in Kangnung, and the soil disposition, hardness of the soil in the planting areas have been investigated. Also, we have surveyed the kinds of the trees which kandgnung inhabitants want. The conclusion is as follows Most of roadsides have trees, but they need the introduction of shrubs or ground covering plants according to the locations and the environmental conditions. We have selected nineteen species in regard to the roadside tree criterion and the growing conditions living in Kangnung. It is desirable that we make banding style planting space between each roadside tree to improve the low ratio of green coverage. We have found out that Ligustrum obtusifolium, Buxus micropnylla, Euonymus japonica, Rhododendron schlippenbachii, Phyllostachys nigro and Rosa rugosa, ect. are suitable. In order to soften and weaken the rigidity of the hard substances on a paved roadside, the climbers such as the perennial herbaceous flowering and hedera rhombea should be preferred rather than annual herbaceous flowering because of curtailment of expenditure. To posses a systematical greenery frame in kangnung, we have planned a planting design system that would expand the greenery space every year. Moreover, we have to make a plan to overcome space restrictions. We have established a flexible plan considering the roadside conditions and the improved standard planting methods with an ultimate aim to create a special roadside view.

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A Study on Segmentation of Preferred Characteristics of Rural Tourists after COVID-19 Using Decision Tree Analysis (의사결정나무분석을 활용한 코로나19 이후 농촌관광객의 선호 특성 세분화 연구)

  • Seung-Hun Lee
    • Asia-Pacific Journal of Business
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    • v.14 no.1
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    • pp.411-426
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    • 2023
  • Purpose - The purpose of this study was to explore and diagnose the characteristics and behavioural patterns of rural tourists after COVID-19 using decision tree analysis to classify and identify key segmentation groups. Design/methodology/approach - The CHAID algorithm was used as the analysis technique for the decision tree. The explanatory variables used in the analysis of each decision tree model were demographic variables and rural tourism usage behaviour and perception variables, and the target variables were the preferences of rural tourists' activities after COVID-19. From the Rural Tourism 2020 survey data, 614 samples with rural tourism experience were extracted and used in the analysis. Findings - The variables that significantly explained the preference for each type of rural tourism activity after COVID-19 were rural tourism safety perception, repeated visits to the region, rural tourism priority activity, rural tourism accommodation experience, gender, age group, marital status, occupation, and education level. Among them, rural tourism safety perception was the most important explanatory variable in each analysis model. Research implications or Originality - Overall, to promote rural tourism, it is necessary to enhance the safety image of rural tourism, strengthen loyalty programs for repeat visitors, and develop customized products that reflect the preferred trends of rural tourism.

Short-range sensing for fruit tree water stress detection and monitoring in orchards: a review

  • Sumaiya Islam;Md Nasim Reza;Shahriar Ahmed;Md Shaha Nur Kabir;Sun-Ok Chung;Heetae Kim
    • Korean Journal of Agricultural Science
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    • v.50 no.4
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    • pp.883-902
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    • 2023
  • Water is critical to the health and productivity of fruit trees. Efficient monitoring of water stress is essential for optimizing irrigation practices and ensuring sustainable fruit production. Short-range sensing can be reliable, rapid, inexpensive, and used for applications based on well-developed and validated algorithms. This paper reviews the recent advancement in fruit tree water stress detection via short-range sensing, which can be used for irrigation scheduling in orchards. Thermal imagery, near-infrared, and shortwave infrared methods are widely used for crop water stress detection. This review also presents research demonstrating the efficacy of short-range sensing in detecting water stress indicators in different fruit tree species. These indicators include changes in leaf temperature, stomatal conductance, chlorophyll content, and canopy reflectance. Short-range sensing enables precision irrigation strategies by utilizing real-time data to customize water applications for individual fruit trees or specific orchard areas. This approach leads to benefits, such as water conservation, optimized resource utilization, and improved fruit quality and yield. Short-range sensing shows great promise for potentially changing water stress monitoring in fruit trees. It could become a useful tool for effective fruit tree water stress management through continued research and development.