The present study investigated the effect of global warming on germination and initial growth across six deciduous oak species (Quercus mongolica, Q. variabilis, Q. serrata, Q. dentata, Q. aliena, and Q. acutissima), which are the dominant tree species in Korea forest ecosystems. Seeds were sown in climate change treatments, with temperatures higher than those of the control (approximately 3.0℃ higher), and CO2 concentrations higher than those of the control (approximately 2-fold higher). Initial growth in each species was measured every two weeks. Initial growth was more rapid in all oak species at the time of root and shoot emergence under high temperature and CO2 treatments than in the control group. Leaf emergence in Q. mongolica, Q. variabilis, and Q. serrata occurred earlier under the climate change treatments than under the control. Root length increased significantly in Q. mongolica, Q. variabilis, and Q. dentata under the climate change treatments when compared to under the control. However, Q. aliena and Q. serrata exhibited a contrasting trends, and no significant difference was observed between the species and Q. acutissima. Shoot length increased significantly in Q. aliena under climate change treatments when compared to under the control but decreased in Q. aliena. In addition, no significant difference was observed in shoot length among Q. mongolica, Q. dentata, and Q. acutissima. The results showed that climate change treatments facilitated early growth, rapid emergence from the ground, leaf development, and enhanced belowground growth in Q. mongolica. Conversely, Q. aliena exhibited the lowest aboveground and belowground growth under climate change treatments when compared to other oak species. Climate change treatments had the least impact on Q. acutissima considering the insignificant differences observed in initial growth rates under climate change treatment.
Journal of Korean Academy of Fundamentals of Nursing
/
v.23
no.2
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pp.136-148
/
2016
Purpose: This study was done to investigate the level of nursing students' awareness, attitude, safety climate, and performance of infection control, and to identify factors influencing performance. Methods: The sample consisted of 239 nursing students from 5 nursing schools. Data were collected from November 15 to December 11, 2013 and analyzed by frequency, t-test, ANOVA, Pearson correlation coefficients, and multiple stepwise regression with SPSS/WIN 21.0. Results: Of the participants, 216 (90.4%) had experienced contact with infectious diseases. The performance of personal hygiene was scored the highest followed by standard precautions, transmission precautions, and vaccination. There were significant correlations between awareness, attitude, safety-climate and performance. Awareness, safety-climate, attitude, contents of infection control education, and direct exposure to infectious disease collectively explained 30% of the variance in performance, and awareness was the most influential factor. Conclusion: The results indicate that performance of infection control by nursing students can be increased if awareness, safety climate, attitude, and contents of infection control education are improved, and exposure to infectious disease is decreased. These findings can be utilized to improve performance by developing education programs for infection control.
Purpose: The purpose of this paper is to analyze the effect of job stress on work impairment. Method: 354 workers' data from Seoul and the Gyeonggi area were collected between February 1 and March 30 2006 by structured questionnaire. The questionnaire was meant to determine demographic data, job stress, and work impairment questionnaire. Data analyzed by SPSS 12.0 and AMOS 5.0 program. Results: Job stress was ranked job demand, insufficient job control, organizational system, lack of reward, job insecurity, interpersonal conflict, and occupational climate. The work impairment of completing work was increased when the stress of insufficient job control, lack of reward, job insecurity, and occupational climate were increasing. The work impairment of avoiding distraction was increased when the stress of job demand, insufficient job control, organizational system, lack of reward, job insecurity, and occupational climate were increasing. The stress of job demand, lack of reward, job insecurity, and occupational climate had an effect on avoiding distraction. The stress of lack of reward and occupational climate had an effect on completing work. Conclusion: If employers manage job stress of job demand, lack of reward, job insecurity, and occupational climate, their business will benefit.
This study aims to verify the relationship between a motivational climate and self-management perceived by athletes. 195 male and 153 female athletes participated in this study. Firstly, reliability and validity are verified for questionnaires, and descriptive statistics, one way ANOVA, and regression analysis are used. The result of the correlation analysis says that all the factors have meaningful relations among them. The analysis on the effects of the motivational climate on self-management indicates that the mastery climate perceived by the athletes has affected statically the sub-factors of self-management such as mental management, training, management, personal relationship management, life management, health management, and intrinsic behavior control. However, the competitive climate didn't help self-management. Based on the study, it was suggested that through the mastery climate, a leader should make athletes manage and control themselves in terms of conquest strategies, self-assessment, problem-solving and decision-making skills, self-control, goal setting, efforts to strengthen oneself, and plan.
There has been an impetus in the development of biocontrol agents (BCAs) with the removal of a number of chemical compounds in the market, especially in the European Union. This has been a major driver in the development of Integrated Pest Management systems (IPM) for both pest and disease control. For control of mycotoxigenic fungi, there is interest in both control of colonization and more importantly toxin contamination of staple food commodities. Thus the relative inoculum potential of biocontrol agent vs the toxigenic specie sis important. The major bottlenecks in the production and development of formulations of biocontrol agents are the resilience of the strains, inoculum quality and formulation with effective field efficacy. It was recently been shown for mycotoxigenic fungi such as Aspergillus flavus, under extreme climate change conditions, growth is not affected although there may be a stimulation of aflatoxin production. Thus, the development of resilient biocontrol strains which can may have conserved control efficacy but have the necessary resilience becomes critical form a food security point of view. Indeed, under predicted climate change scenarios the diversity of pests and fungal diseases are expected to have profound impacts on food security. Thus, when examining the identification of potential biocontrol strains, production and formulation it is critical that the resilience to CC environmental factors are included and quantified. The problems in relation to the physiological competence and the relative humidity range over which efficacy can occur, especially pre-harvest may be increase under climate change conditions. We have examined the efficacy of atoxigenic strains of A. flavus and Clanostachys rosea and other candidates for control of A. flavus and aflatoxin contamination of maize, and for Fusarium verticillioides and fumonisin toxin control. We have also examined the potential use of fluidized-bed drying, nanoparticles/nanospheres and encapsulation approaches to enhance the potential for the production of resilient biocontrol formulations. The objective being the delivery of biocontrol efficacy under extreme interacting climatic conditions. The potential impact of climate change factors on the efficacy of biocontrol of fungal diseases and mycotoxins are discussed.
Purpose: This study is designed to investigate the extent and nature of climate change disclosure of listed pharmaceutical companies of Bangladesh. Research design, data and methodology: In order to perform this research, a content analysis methodology is used. A climate change disclosure index is constructed to examine 12 different climate change disclosure issues. Information is collected from the annual reports of 29 pharmaceutical companies listed on the Dhaka Stock Exchange for the year 2019. Results: This study finds that only 48.28% of the sample companies provided disclosure on at least one issue regarding climate change. 'Energy savings' is the mostly disclosed issue whereas 'Pollution control expenditure', 'Biodiversity conservation initiatives' are the least disclosed issues. Research implication: This study concludes 64.29% of the companies examined, use less than five sentences for climate change disclosure, which depicts unsatisfactory disclosure practices regarding climate change issues. Study findings would be helpful for different industries of Bangladesh to implement efficient climate change reporting Practice. Future studies can be conducted on other industries to obtain more comprehensive result.
Korean Journal of Construction Engineering and Management
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v.18
no.2
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pp.81-90
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2017
In Imjin River basin, three floods occurred between 1996 and 1999, causing many casualties and economic losses of 900 billion won. In Korea, flood damage is expected to increase in the future due to climate change. This study used the climate scenarios to estimate future flood damage costs and suggested a real options-based economic assessment method. Using proposed method, the flood control infrastructures in Imjin River basin were selected as a case study site to analyze the economic feasibility of the investment. Using RCP (Representative Concentration Pathway) climate scenarios, the future flood damage costs were estimated through simulated rainfall data. This study analyzed the flood reduction benefits through investment in the flood control infrastructures. The volatility of flood damage reduction benefits were estimated assuming that the RCP8.5 and RCP4.5 climate scenarios would be realized in the future. In 2071, the project option value would be determined by applying an extension option to invest in an upgrading that would allow the project to adapt to the flood of the 200-year return period. The results of the option values show that the two investment scenarios are economically feasible and the project under RCP8.5 climate scenario has more flood damage reduction benefits than RCP4.5. This study will help government decision makers to consider the uncertainty of climate change in the economic assessment of flood control infrastructures using real options analysis. We also proposed a method to quantify climate risk factors into economic values by using rainfall data provided by climate scenarios.
Currently, climate change is regarded as one of the most important environmental issues in the 21st century. However, climate change education is not seriously carried out in schools. This study is concerned about enhancing students' recognition about climate change and actions responding to climate change through an history discipline. More specifically, this study tried to identify the effect of history lessons on environmental education, especially focused on climate change, by performing an experiment. The experiment was designed based on Solomon four-group design and carried out in one high school in Gwangmyeong city. Findings of the experiment are as follows. First, students who had taken the reorganized history lesson based on climate change - that is, students with experimental treatments - gained higher understanding of climate change than before and students of control groups. Second, students with experimental treatments gained higher understanding about relationship between history and climate change. Third, students with experimental treatments showed higher possibility of taking responding actions to climate change. In conclusion, history lessons reorganized with environmental issues, for instance climate change, have big potential for environmental education since they contribute to enhancing environmental recognition and prompting responding actions through exploration the effects of existing historical facts. Interdisciplinary approach like that taken in this study will provide students with more comprehensive and extended prism for the environment.
Kim, Min-Kyeong;Jung, Goo-Bok;Kim, Min-Young;Kim, Myung-Hyun;Cho, Kwang-Jin;Choi, Soon-Kun;Hong, Seong-Chang;So, Kyu-Ho
Korean Journal of Environmental Agriculture
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v.33
no.2
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pp.144-147
/
2014
BACKGROUND: It is essential to prioritize the exact and clear understanding of agricultural nonpoint source pollution (NPS) controls. The realistic policies and systems should also be developed based on this understanding. Therefore, this study aimed to present agricultural Best Management Practices (BMPs) applicable for the fields based on the Delphi survey result. METHODS AND RESULTS: This study deduced the evaluation items to assess each BMP for agricultural NPS control and conducted the surveying using the Delphi method based on agricultural BMP experts. In addition, its on-the-spot application were evaluated. Considering its importance, technical, social and economic proprieties showed that political support was ranked first and followed by cost investment, labor investment, reduction effect and resident participation. The survey findings by agricultural BMP experts showed the good performance of on-the-spot application can be achieved from fertilization by soil testing, residue and green manure application and contour plowing which are applicable within a field. Agricultural BMPs, highly applicable for the fields, were the countermeasures that farmers who are the principal bodies of agricultural NPS control could be participated directly. CONCLUSION: The active participation of farmers is essential for effective control of agricultural NPS. It is necessary to establish various incentive systems.
Journal of The Korean Society of Agricultural Engineers
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v.64
no.5
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pp.27-39
/
2022
The smart farm is recognized as a solution for future farmers having positive effects on the sustainability of the poultry industry. Intelligent microclimate control can be a key technology for broiler production which is extremely vulnerable to abnormal indoor air temperatures. Furthermore, better control of indoor microclimate can be achieved by accurate prediction of indoor air temperature. This study developed predictive models for internal air temperature in a mechanically-ventilated broiler house based on the data measured during three rearing periods, which were different in seasonal climate and ventilation operation. Three machine learning models and a mechanistic model based on thermal energy balance were used for the prediction. The results indicated that the all models gave good predictions for 1-minute future air temperature showing the coefficient of determination greater than 0.99 and the root-mean-square-error smaller than 0.306℃. However, for 1-hour future air temperature, only the mechanistic model showed good accuracy with the coefficient of determination of 0.934 and the root-mean-square-error of 0.841℃. Since the mechanistic model was based on the mathematical descriptions of the heat transfer processes that occurred in the broiler house, it showed better prediction performances compared to the black-box machine learning models. Therefore, it was proven to be useful for intelligent microclimate control which would be developed in future studies.
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