• Title/Summary/Keyword: forest policy and action

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Effects of the Persuasive Message on Users' Attitude toward the Policy of Limiting Park Use (설득(說得) 메시지가 공원이용규제정책(公園利用規制政策)에 대한 이용자(利用者) 태도(態度)에 미치는 효과(效果))

  • Kang, Mi-Hee;Kim, Seong-Il
    • Journal of Korean Society of Forest Science
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    • v.85 no.1
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    • pp.24-33
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    • 1996
  • The theory of reasoned action was examined as a theoretical model which explains the relationships among belief, attitude, and intention regarding the policy of limiting the total number of visitors per day in the national parks during the high-demand season. Also, effects of persuasive messages developed to change users' attitude toward the policy positively were examined. Among the visitors in Kyeryongsan National Park, 563 visitors participated in on-site and mail survey. The number of visitors who had positive and negative attitudes toward the policy was in the ratio of 43 to 49. A significantly positive relationship was found between the sum of belief and outcome evaluation crossproducts and attitude(r=0.42). Intention could be explained with attitude in an acceptable power ($R^2=0.32$). The visitors who had negative attitude and intention regarding the policy before the treatment were changed positively by the two types of persuasive messages. Among the visitors receiving the persuasive messages, 74% answered that carrying out the policy is good and 66% intended to agree to carrying out the policy. It was indicated that the persuasive messages were an effective communication method between park managers and users.

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Study on Policies and Actions Associated with Promotion of Social and Environmental Benefits of Forest (산림공익기능 증진 관련 정책 및 조치에 관한 연구)

  • Choi, Soo-Im;Joo, Rin-Won;Kim, Ki-Dong;Kim, Jae-Sung;Jeon, Hyon-Sun;Kim, Jae-Jun;Park, Dong-Kyun
    • Journal of Korean Society of Forest Science
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    • v.99 no.1
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    • pp.75-84
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    • 2010
  • For policies and actions associated promotion of social and environmental benefits of forest in Korea, various polices have been progressed based on newly established ordinances along with full progresses of subdivision of the Forest Law since reorganization of regulatory system by functions focused on the Basic Forestry Act. In these policies, water resource conserving function and national land conserving function which have little close relation to the people's daily life including formation of forest for conservation of water supply and erosion control have continued to be promoted since 1970s. Especially in recently years, the policy of biodiversity conserving function according to importance of health and recreation function and conservation management of forest ecosystem and animal and plant are being promoted actively. Among them, the health and recreation functions is featured for various policies to be promoted in spite of small budget for responding actively to various forest recreation demands after settlement of 5-day workweek system. It seems because the health and recreation function could obtain visible results of governmental investment and high responses from the peoples as a function having close relationship with the people's daily life.

An Understanding of Littering Behavior in Natural Recreation Areas : Use of the Theory of Reasoned Action (자연휴양지(自然休養地) 내(內)의 환경오염행동(環境汚染行動)에 대(對)한 이해(理解) : 논리적(論理的) 행위이론(行爲理論)의 이용(利用)으로)

  • Kim, Seong-Il
    • Journal of Korean Society of Forest Science
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    • v.80 no.1
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    • pp.20-31
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    • 1991
  • To improve the understanding and predicting power of littering behavior in natural recreation areas, a model was proposed based on the theory of reasoned action by Fishbein and Ajzen. Among the visitors of Kaeryongsan National Park in Korea, three hundred and ninety nine (399) groups were interviewed to obtain such data as beliefs about the behavioral consequences, attitudes, normative belief, socioeconomic status and etc. A significant but practically weak relationship was found between beliefs, normative belief and past behavior (R=0.3). Using Logit analysis, past behavior could be explained with relevant variables in an acceptable power ($R^2$=0.35). In the model, education, social group, occupation, age and visiting frequency were all negatively related to past behabavior. Beliefs and normative belief also behaved as expected by the theory. The study results show that the theory may be useful in predicting the undesirable behaviors in recreation areas and establishing management policy to control them. The cause of weak relationships between relevant variables were discussed and future research implications were also suggested.

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Breeding Difficulty of Marsh Crocodile (Crocodylus Palustris, Lesson, 1831) in Safari Park of Bangladesh

  • Masum, Kazi Mohammad;Rahman, Zahed Mohammad Malekur;Alamgir, Mohammed;Mamun, Abdullah Al;Abdullah-Al-Mamun, M.M.
    • Journal of Forest and Environmental Science
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    • v.28 no.4
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    • pp.220-226
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    • 2012
  • An assessment of Marsh crocodile's (Crocodylus palustris LESSON, 1831) habitat, its feasibility in supporting the total population, feeding, hatching difficulty and variations in egg and clutch size of Marsh crocodile were carried out in Bangabandhu Sheikh Mujib Safari Park for one year (July 2010 to June 2011). Major problem identified was the breeding failure, i.e. till now no hatching were found. Mainly two local weather variables (average temperature and humidity) were identified as the most obstructing parameters. Higher temperature (average $37.03^{\circ}C$) and Lower Humidity (average 75.33%) in comparison with standard range of incubation temperature and humidity for Marsh crocodile were seems to be vital reason for the failure of hatching. Understanding of the identified problem of this paper can direct the wildlife conservationist and the policy maker to take proper action for conserving the Marsh Crocodile in Bangladesh.

Analysis of Linkage between Official Development Assistance (ODA) of Forestry Sector and Sustainable Development Goals (SDGs) in South Korea (국내 임업분야 공적개발원조(ODA)사업과 지속가능발전목표(SDGs)와의 연관성 분석)

  • Kim, Nahui;Moon, Jooyeon;Song, Cholho;Heo, Seongbong;Son, Yowhan;Lee, Woo-Kyun
    • Journal of Korean Society of Forest Science
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    • v.107 no.1
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    • pp.96-107
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    • 2018
  • This study analyzed the linkage between the Forestry sector Official Development Assistance (ODA) Project in South Korea and the Sustainable Development Goals (SDGs) of United Nations (UN), Suggested direction of ODA project focusing on the implementation of the SDGs. Forestry sector ODA project data in South Korea have collected from Economic Development Cooperation Fund (EDCF) statistical inquiry system developed by The Export-Import Bank of Korea. According to the analysis result, Forestry sector ODA project in South Korea have been actively implemented in the fields of forestry development, forestry policy and administration. In both fields, Korea Forest Service and Korea International Cooperation Agency (KOICA) carried out the most projects. The Forestry sector ODA project data in South Korea are classified technical development, capacity building, construction of infrastructure and afforestation based on their objectives and contents. SDGs emphasizes the importance of national implementation assessment and this study analyze linkage between ODA activity content in each classification item and 2016 Korea Forest Service Performance Management Plan indicator. Analyzed the 2016 Korea Forest Service Performance Management Plan indicator and SDGs target and SDGs indicator were identified. finally, SDGs goals were recognized. In conclusion, Forestry sector ODA project in South Korea are associated with the SDGs Goal 1 (No Poverty), Goal 2 (Zero Hunger), Goal 6 (Clean Water and Sanitation), Goal 13 (Climate Action), Goal 15 (Life on Land) and Goal 17 (Partnership for The Goals). Therefore, With the launch of the SDGs, This study analyzed the linkage among the Forestry sector ODA Project in South Korea, the 2016 Korea Forest Service Performance Management Plan and the SDGs. it presented the limitations of Forestry sector ODA Project in South Korea and made proposals for the implementation of the SDGs.

Animal Infectious Diseases Prevention through Big Data and Deep Learning (빅데이터와 딥러닝을 활용한 동물 감염병 확산 차단)

  • Kim, Sung Hyun;Choi, Joon Ki;Kim, Jae Seok;Jang, Ah Reum;Lee, Jae Ho;Cha, Kyung Jin;Lee, Sang Won
    • Journal of Intelligence and Information Systems
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    • v.24 no.4
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    • pp.137-154
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    • 2018
  • Animal infectious diseases, such as avian influenza and foot and mouth disease, occur almost every year and cause huge economic and social damage to the country. In order to prevent this, the anti-quarantine authorities have tried various human and material endeavors, but the infectious diseases have continued to occur. Avian influenza is known to be developed in 1878 and it rose as a national issue due to its high lethality. Food and mouth disease is considered as most critical animal infectious disease internationally. In a nation where this disease has not been spread, food and mouth disease is recognized as economic disease or political disease because it restricts international trade by making it complex to import processed and non-processed live stock, and also quarantine is costly. In a society where whole nation is connected by zone of life, there is no way to prevent the spread of infectious disease fully. Hence, there is a need to be aware of occurrence of the disease and to take action before it is distributed. Epidemiological investigation on definite diagnosis target is implemented and measures are taken to prevent the spread of disease according to the investigation results, simultaneously with the confirmation of both human infectious disease and animal infectious disease. The foundation of epidemiological investigation is figuring out to where one has been, and whom he or she has met. In a data perspective, this can be defined as an action taken to predict the cause of disease outbreak, outbreak location, and future infection, by collecting and analyzing geographic data and relation data. Recently, an attempt has been made to develop a prediction model of infectious disease by using Big Data and deep learning technology, but there is no active research on model building studies and case reports. KT and the Ministry of Science and ICT have been carrying out big data projects since 2014 as part of national R &D projects to analyze and predict the route of livestock related vehicles. To prevent animal infectious diseases, the researchers first developed a prediction model based on a regression analysis using vehicle movement data. After that, more accurate prediction model was constructed using machine learning algorithms such as Logistic Regression, Lasso, Support Vector Machine and Random Forest. In particular, the prediction model for 2017 added the risk of diffusion to the facilities, and the performance of the model was improved by considering the hyper-parameters of the modeling in various ways. Confusion Matrix and ROC Curve show that the model constructed in 2017 is superior to the machine learning model. The difference between the2016 model and the 2017 model is that visiting information on facilities such as feed factory and slaughter house, and information on bird livestock, which was limited to chicken and duck but now expanded to goose and quail, has been used for analysis in the later model. In addition, an explanation of the results was added to help the authorities in making decisions and to establish a basis for persuading stakeholders in 2017. This study reports an animal infectious disease prevention system which is constructed on the basis of hazardous vehicle movement, farm and environment Big Data. The significance of this study is that it describes the evolution process of the prediction model using Big Data which is used in the field and the model is expected to be more complete if the form of viruses is put into consideration. This will contribute to data utilization and analysis model development in related field. In addition, we expect that the system constructed in this study will provide more preventive and effective prevention.

A Study on the Identifying OECMs in Korea for Achieving the Kunming-Montreal Global Biodiversity Framework - Focusing on the Concept and Experts' Perception - (쿤밍-몬트리올 글로벌 생물다양성 보전목표 성취를 위한 우리나라 OECM 발굴방향 연구 - 개념 고찰 및 전문가 인식을 중심으로 -)

  • Hag-Young Heo;Sun-Joo Park
    • Korean Journal of Environment and Ecology
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    • v.37 no.4
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    • pp.302-314
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    • 2023
  • This study aims to explore the direction for Korea's effective response to Target 3 (30by30), which can be said to be the core of the Kunming-Montreal Global Biodiversity Framework (K-M GBF) of the Convention on Biological Diversity (CBD), to find the direction of systematic OECM (Other Effective area-based Conservation Measures) discovery at the national level through a survey of global conceptual review and expert perception of OECM. This study examined ① the use of Korean terms related to OECM, ② derivation of determining criteria reflecting global standards, ③ deriving types of potential OECM candidates in Korea, and ④ considerations for OECM identification and reporting to explore the direction for identifying systematic, national-level OECM that complies with global standards and reflects the Korean context. First, there was consensus for using Korean terminology that reflects the concept of OECM rather than simple translations, and it was determined that "nature coexistence area" was the most preferred term (12 people) and had the same context as CBD 2050 Vision of "a world of living in harmony with nature." This study suggests utilizing four criteria (1. No protected areas, 2. Geographic boundaries, 3. Governance/management, and 4. Biodiversity value) that reflect OECM's core characteristics in the first-stage selection process, carrying out the consensus-building process (stage 2) with the relevant agencies, and adding two criteria (3-1 Effectiveness and sustainability of governance and management and 4-1 Long-term conservation) and performing the in-depth diagnosis in stage 3 (full assessment for reporting). The 28 types examined in this study were generally compatible with OECMs (4.45-6.21/7 points, mean 5.24). In particular, the "Conservation Properties (6.21 points)" and "Conservation Agreements (6.07 points)", which are controlled by National Nature Trust, are shown to be the most in line with the OECM concept. They were followed by "Buffer zone of World Natural Heritage (5.77 points)", "Temple Forest (5.73 points)", "Green-belt (Restricted development zones, 5.63 points)", "DMZ (5.60 points)", and "Buffer zone of biosphere reserve (5.50 point)" to have high potential. In the case of "Uninhabited Islands under Absolute Conservation", the response that they conformed to the protected areas (5.83/7 points) was higher than the OECM compatibility (5.52/7 points), it is determined that in the future, it would be preferable to promote the listing of absolute unprotected islands in the Korea Database on Protected Areas (KDPA) along with their surrounding waters (1 km). Based on the results of a global OECM standard review and expert perception survey, 10 items were suggested as considerations when identifying OECM in the Korean context. In the future, continuous research is needed to identify the potential OECMs through site-level assessment regarding these considerations and establish an effective in-situ conservation system at the national level by linking existing protected area systems and identified OECMs.